{"690059":{"#nid":"690059","#data":{"type":"event","title":"SCS Visitor Seminar- Brendan Juba","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETalk Title:\u003C\/strong\u003E Learning Safe Action Models\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E Brendan Juba, Associate Professor, Washington University\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EDomain-independent planning is a classical AI task. For a specified set of objects and predicates, with some initial valuation, an action model is given that describes a set of actions in terms of their preconditions and effects; that is, respectively, properties that the domain must satisfy for an action to execute (e.g., a conjunction), and the changes to the values of predicates that result from the execution. A goal property is also given in terms of the predicates and objects. The domain-independent planning task is then, given this initial valuation, action model, and goal, to output a straight-line program consisting of actions that results in the satisfaction of the goal.\u003C\/p\u003E\u003Cp\u003EHere, we focus on the task of learning an action model from example executions. We propose a formulation of this task in the spirit of distribution-free PAC learning, that permits an arbitrary domain-independent planner to safely use the action model we produce. Safety here means that we guarantee that any plan produced by the planner executes in the actual action model, i.e., the actual preconditions are satisfied at each step, and results in the satisfaction of the given goal in the actual action model. We show that there are polynomial-time algorithms for safe learning of action models expressible in the classical STRIPS formalism, for example. We will also show that many richer families of domains are not safely learnable.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;Based on joint works with Hai Son Le, Argaman Mordoch, and Roni Stern.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EBrendan Juba is an\u0026nbsp;Associate\u0026nbsp;Professor in the Department of Computer Science and Engineering at Washington University in St. Louis. His current research interests lie in theoretical approaches to artificial intelligence, founded on the theory of Algorithms and Computational Complexity.\u003C\/p\u003E\u003Cp\u003EWebsite: \u003Ca href=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fwww.cse.wustl.edu%2F~bjuba%2F\u0026amp;data=05%7C02%7Cmusry8%40gtvault.onmicrosoft.com%7C454a1b7702714f6d931a08dea626ccf0%7C482198bbae7b4b258b7a6d7f32faa083%7C1%7C0%7C639130882756215636%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C\u0026amp;sdata=uUdMf2oPkWI12Rb9jg%2B7heph20osxzg0YwEJLJYR6CA%3D\u0026amp;reserved=0\u0022 title=\u0022Original URL:\u0026#13;https:\/\/www.cse.wustl.edu\/~bjuba\/\u0026#13;\u0026#13;Click to follow link.\u0022\u003Ehttps:\/\/www.cse.wustl.edu\/~bjuba\/\u003C\/a\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETalk Title:\u003C\/strong\u003E Learning Safe Action Models\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E Brendan Juba, Associate Professor, Washington University\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"SCS Visitor Seminar- Brendan Juba, Associate Professor, Washington University"}],"uid":"36532","created_gmt":"2026-04-29 19:59:03","changed_gmt":"2026-04-29 20:01:28","author":"Morgan Usry","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-05-01T11:00:00-04:00","event_time_end":"2026-05-01T12:00:00-04:00","event_time_end_last":"2026-05-01T12:00:00-04:00","gmt_time_start":"2026-05-01 15:00:00","gmt_time_end":"2026-05-01 16:00:00","gmt_time_end_last":"2026-05-01 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"KACB 3109","extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"322011","name":"College of Computing Events"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"194683","name":"Talk"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"689941":{"#nid":"689941","#data":{"type":"event","title":"SCS Visitor Seminar- Ilias Diakonikolas","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETalk Title: \u003C\/strong\u003EAlgorithmic Foundations of Robust Learning\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESpeaker: \u0026nbsp;\u003C\/strong\u003EIlias Diakonikolas, Professor, The University of Wisconsin\u2013Madison\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ERobustness is a basic requirement for trustworthy machine learning, yet achieving it efficiently in high dimensions has long been a fundamental challenge. For decades, the prevailing view was that learning algorithms with strong robustness guarantees necessarily come with prohibitive computational cost, creating a sharp tension between statistical guarantees and algorithmic tractability. This talk describes a research program aimed at overcoming this barrier through an algorithmic theory of robust learning.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;I will describe two interconnected threads within this research program. The first develops a unified framework for efficient robust high-dimensional estimation, including the first polynomial-time algorithms for several fundamental unsupervised learning tasks under adversarial corruption. The second studies supervised learning under noisy labels, with an emphasis on learning predictors with low-dimensional latent representations. I will conclude by discussing future directions, including robustness beyond worst-case corruption and the efficient learning of richer nonlinear representations.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003Elias Diakonikolas is the Lubar Professor in the Department of Computer Sciences at UW Madison. He obtained a Diploma in electrical and computer engineering from the National Technical University of Athens and a Ph.D. in computer science from Columbia University where he was advised by Mihalis Yannakakis. Before moving to UW, he was an Andrew and Erna Viterbi Early Career Chair at USC and a faculty member at the University of Edinburgh. Prior to that, he was the Simons postdoctoral fellow in theoretical computer science at the University of California, Berkeley. His research is on the algorithmic foundations of massive data sets, in particular on designing efficient algorithms for fundamental problems in machine learning. He is a recipient of the ACM Grace Murray Hopper award, a Sloan Fellowship, an NSF CAREER Award, a Romnes Faculty Fellowship, a Google Faculty Research Award, a Marie Curie Fellowship, best paper awards at NeurIPS and COLT, the IBM Research Pat Goldberg Best Paper Award, and an honorable mention in the George Nicholson competition from the INFORMS society. Ilias wrote with Daniel Kane the textbook \u0022Algorithmic High-dimensional Robust Statistics\u0022 published by Cambridge University Press.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETalk Title: \u003C\/strong\u003EAlgorithmic Foundations of Robust Learning\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESpeaker: \u0026nbsp;\u003C\/strong\u003EIlias Diakonikolas, Professor, The University of Wisconsin\u2013Madison\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"SCS Visitor Seminar-  Ilias Diakonikolas, Professor, The University of Wisconsin\u2013Madison"}],"uid":"36532","created_gmt":"2026-04-21 20:35:11","changed_gmt":"2026-04-21 20:35:11","author":"Morgan Usry","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-04-28T11:00:00-04:00","event_time_end":"2026-04-28T12:00:00-04:00","event_time_end_last":"2026-04-28T12:00:00-04:00","gmt_time_start":"2026-04-28 15:00:00","gmt_time_end":"2026-04-28 16:00:00","gmt_time_end_last":"2026-04-28 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"KACB 2447","extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"322011","name":"College of Computing Events"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"194683","name":"Talk"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"688895":{"#nid":"688895","#data":{"type":"event","title":"SCS GSA Lunch with Labs","body":[{"value":"\u003Cp\u003EThe SCS GSA is excited to invite you to \u003Cstrong\u003ELunch with Labs\u003C\/strong\u003E\u0026nbsp;on \u003Cstrong\u003ETuesday, March 17, from 12:00\u20131:30 PM in the Klaus Atrium\u003C\/strong\u003E!\u0026nbsp;\u003Cbr\u003E\u003Cbr\u003EThis lunch is a great opportunity to bring together the SCS community and encourage more interaction across labs, programs, and research areas. We\u2019d love for you to join us with your lab, enjoy some good food, and meet fellow Ph.D. and M.S. students from across the School of Computer Science.\u003Cbr\u003E\u003Cbr\u003E\u003Cstrong\u003EAll faculty and students are warmly welcome to attend\u003C\/strong\u003E. We especially encourage you to share event with your labmates and advisor and come as a group!\u003Cbr\u003E\u003Cbr\u003EWe hope this will be a fun and relaxed chance to connect with others in SCS, strengthen our community, and enjoy lunch together.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis lunch is a great opportunity to bring together the SCS community and encourage more interaction across labs, programs, and research areas. We\u2019d love for you to join us with your lab, enjoy some good food, and meet fellow Ph.D. and M.S. students from across the School of Computer Science.\u003Cbr\u003E\u003Cbr\u003E\u003Cstrong\u003EAll faculty and students are warmly welcome to attend\u003C\/strong\u003E. We especially encourage you to share this event with your labmates and advisor and come as a group!\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"This lunch is a great opportunity to bring together the SCS community and encourage more interaction across labs, programs, and research areas."}],"uid":"36532","created_gmt":"2026-03-11 20:27:57","changed_gmt":"2026-03-11 20:30:24","author":"Morgan Usry","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-17T12:00:00-04:00","event_time_end":"2026-03-17T13:30:00-04:00","event_time_end_last":"2026-03-17T13:30:00-04:00","gmt_time_start":"2026-03-17 16:00:00","gmt_time_end":"2026-03-17 17:30:00","gmt_time_end_last":"2026-03-17 17:30:00","rrule":null,"timezone":"America\/New_York"},"location":"KACB Atrium","extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"322011","name":"College of Computing Events"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"688894":{"#nid":"688894","#data":{"type":"event","title":"SCS Faculty Candidate Seminar: Steven Xia","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETalk Title:\u003C\/strong\u003E Transforming Software Development in the Era of LLMs\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESpeaker: \u003C\/strong\u003ESteven Xia, Ph.D. Candidate, University of Illinois Urbana-Champaign\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EAI and large language models (LLMs) are ushering in a new era of software development, fundamentally reshaping how systems are built, tested, and maintained. In this talk, I will present my research on integrating modern LLM capabilities with core software engineering principles to automate complex development tasks and strengthen the coding and reasoning abilities of AI systems. I will first introduce\u0026nbsp;TitanFuzz, which leverages LLMs to implicitly solve complex and heterogeneous constraints for large-scale system testing, uncovering critical bugs in real-world software, and inspiring extensive subsequent work in LLM-driven testing. Next, I will discuss Agentless, which demonstrates that a simple, lightweight framework can effectively solve challenging repository-level software engineering tasks without heavy agentic overhead. I will showcase how Agentless has been adopted by leading AI companies to evaluate their latest models, inspire new agentic frameworks, and perform post- or mid-training for agentic coding and reasoning. In addition, I will highlight my other work on automating complex software tasks and my recent work to enable runtime self-improvement in AI coding systems. Together, my work establishes a scalable and practical foundation for building more capable and reliable AI-driven software systems.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EChunqiu Steven Xia is a PhD candidate in Computer Science at UIUC, advised by Professor\u0026nbsp;Lingming\u0026nbsp;Zhang. His research lies at the intersection of Software Engineering and Artificial Intelligence, with a focus on automating critical and cognitively demanding software development tasks using large language models (LLMs) and software agents. His work has significantly advanced how fundamental software problems are addressed in both academia and industry, uncovering 200+ critical bugs and vulnerabilities in widely used systems, and being adopted by leading AI companies, including OpenAI, Meta, DeepSeek, and\u0026nbsp;MiniMax. His research has been recognized with an ACM SIGSOFT Distinguished Paper Award (FSE 2025), an Oral Spotlight Paper Award (COLM 2024), a CACM Research Highlight (FSE 2023), and the prestigious Amazon AICE PhD Fellowship.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETalk Title:\u003C\/strong\u003E Transforming Software Development in the Era of LLMs\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESpeaker: \u003C\/strong\u003ESteven Xia, Ph.D. Candidate, University of Illinois Urbana-Champaign\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"SCS Faculty Candidate Seminar: Steven Xia"}],"uid":"36532","created_gmt":"2026-03-11 20:22:55","changed_gmt":"2026-03-11 20:24:29","author":"Morgan Usry","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-19T11:00:00-04:00","event_time_end":"2026-03-19T12:00:00-04:00","event_time_end_last":"2026-03-19T12:00:00-04:00","gmt_time_start":"2026-03-19 15:00:00","gmt_time_end":"2026-03-19 16:00:00","gmt_time_end_last":"2026-03-19 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"KACB 1116","extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"322011","name":"College of Computing Events"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"688140":{"#nid":"688140","#data":{"type":"event","title":"SCS Faculty Candidate Seminar: Shanto Rahman","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETalk Title:\u003C\/strong\u003E \u003Cem\u003EReliable Software Testing with Language Models and Program Analysis\u0026nbsp;\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESpeaker: \u0026nbsp;\u003C\/strong\u003EShanto Rahman, Ph.D. Candidate, University of Texas at Austin\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ESoftware testing is one of the most scalable ways to check program correctness. However, nondeterminism in test execution and rapid code evolution can cause tests to break and produce false failures, where the same test may fail without any underlying bug. As these false failures accumulate, developers may start ignoring test results, allowing real bugs to reach production. My research aims to make software testing reliable by detecting, understanding, reproducing, and repairing such broken tests. In this talk, I first present my work on predicting and diagnosing the root causes of flaky tests using context-aware attribution, helping developers understand why nondeterministic failures occur while reducing runtime and memory cost. Next, I introduce automated repair techniques for both nondeterminism- and evolution-induced test breakage using intent-preserving dynamic instrumentation and generative AI. These techniques are evaluated on large-scale, real-world datasets, and achieve high repair success.\u202fI conclude by outlining a path from reliable test diagnosis and repair\u003Cstrong\u003E,\u003C\/strong\u003E extending these reliability foundations to modern computing systems for trustworthy, safe operation in practice.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EShanto Rahman is a final-year Ph.D. candidate at The University of Texas at Austin, advised by August Shi. Her research sits at the intersection of software engineering, program analysis, and AI, with a focus on making software testing reliable under nondeterminism and continuous code evolution. Her work has been published in top venues including ICSE, OOPSLA, ASE, and ICST. Shanto has gained industry experience through research internships at Google and Amazon Web Services (AWS). She has been recognized as an MIT EECS Rising Star and has received multiple UT Austin fellowships and awards.\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ETalk Title: \u003Cem\u003EReliable Software Testing with Language Models and Program Analysis\u0026nbsp;\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003ESpeaker: Shanto Rahman, Ph.D. Candidate, University of Texas at Austin\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"SCS Faculty Candidate Seminar: Shanto Rahman"}],"uid":"36532","created_gmt":"2026-02-09 19:08:18","changed_gmt":"2026-02-11 20:25:26","author":"Morgan Usry","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-26T11:00:00-05:00","event_time_end":"2026-02-26T12:00:00-05:00","event_time_end_last":"2026-02-26T12:00:00-05:00","gmt_time_start":"2026-02-26 16:00:00","gmt_time_end":"2026-02-26 17:00:00","gmt_time_end_last":"2026-02-26 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"KACB 1116","extras":[],"hg_media":{"679263":{"id":"679263","type":"image","title":"Headshot-2.jpg","body":null,"created":"1770841497","gmt_created":"2026-02-11 20:24:57","changed":"1770841497","gmt_changed":"2026-02-11 20:24:57","alt":"photo of a woman","file":{"fid":"263396","name":"Headshot-2.jpg","image_path":"\/sites\/default\/files\/2026\/02\/11\/Headshot-2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/11\/Headshot-2.jpg","mime":"image\/jpeg","size":41472,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/11\/Headshot-2.jpg?itok=XhEHMnkl"}}},"media_ids":["679263"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"322011","name":"College of Computing Events"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"688138":{"#nid":"688138","#data":{"type":"event","title":"SCS Guest Seminar: Sourav Chakraborty","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETalk Title:\u003C\/strong\u003E Testing vs Estimation for Index-Invariant Properties in the Huge Object Model\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESpeaker: \u0026nbsp;\u003C\/strong\u003ESourav Chakraborty, Professor, Indian Statistical Institute\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EThe problem of testing whether an input satisfies a given property can be significantly easier than estimating the input\u2019s distance from having that property. However, for certain classes of properties, these tasks may be quite similar.\u003C\/p\u003E\u003Cp\u003EOne of the newer models for testing distribution properties is the huge object model, introduced by Goldreich and Ron in 2023. In this talk, we investigate the query complexity of testing index-invariant properties within this model. We adapt Szemer\u00e9di\u2019s regularity method to this setting and prove that, for index-invariant properties, constant query testability implies constant-query estimability.\u003C\/p\u003E\u003Cp\u003EThis talk is based on the following works:\u003C\/p\u003E\u003Cp\u003E1. \u201cTesting vs Estimation for Index-Invariant Properties in the Huge Object\u003C\/p\u003E\u003Cp\u003EModel,\u201d joint work with Eldar Fischer, Arijit Ghosh, Amit Levi, Gopinath Mishra,\u003C\/p\u003E\u003Cp\u003Eand Sayantan Sen, STOC 2025.\u003C\/p\u003E\u003Cp\u003E2. \u201cTesting of Index-Invariant Properties in the Huge Object Model,\u201d joint work\u003C\/p\u003E\u003Cp\u003Ewith Eldar Fischer, Arijit Ghosh, Gopinath Mishra, and Sayantan Sen, COLT 2023\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ESourav Chakraborty is a Professor in the Advanced Computing and Microelectronics Unit (ACMU) of the Computer and Communication Sciences Division (CCSD) at the Indian Statistical Institute (ISI), Kolkata, India. Before joining ISI in July 2018, he was a faculty member at the Chennai Mathematical Institute, India, from September 2010. He completed his PhD in Computer Science in June 2008 at the University of Chicago under the supervision of Prof. L\u00e1szl\u00f3 Babai and did postdoctoral stints at Technion, Israel, and CWI, Amsterdam.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cem\u003ETesting vs Estimation for Index-Invariant Properties in the Huge Object Model\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003ESourav Chakraborty, Professor, Indian Statistical Institute\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"SCS Guest Seminar: Sourav Chakraborty"}],"uid":"36532","created_gmt":"2026-02-09 18:59:04","changed_gmt":"2026-02-09 19:02:18","author":"Morgan Usry","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-13T11:00:00-05:00","event_time_end":"2026-02-13T12:00:00-05:00","event_time_end_last":"2026-02-13T12:00:00-05:00","gmt_time_start":"2026-02-13 16:00:00","gmt_time_end":"2026-02-13 17:00:00","gmt_time_end_last":"2026-02-13 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"KACB 3402","extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"322011","name":"College of Computing Events"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"688128":{"#nid":"688128","#data":{"type":"event","title":"SCS Faculty Candidate Seminar: Courtney Miller","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETalk Title:\u003C\/strong\u003E Navigating\u0026nbsp;Sociotechnical Disruptions in Software Engineering\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESpeaker: \u0026nbsp;\u003C\/strong\u003ECourtney Miller,\u0026nbsp;Ph.D.\u0026nbsp;Candidate, Carnegie Mellon University\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ESoftware development is shaped by constant disruption\u2014from open-source dependency abandonment to generative AI (GenAI) tools fundamentally reshaping how code is written.\u0026nbsp;\u003Cbr\u003E\u0026nbsp;\u003Cbr\u003EIn this talk,\u0026nbsp;I\u0027ll\u0026nbsp;present two lines of work, each examining a different disruption. First,\u0026nbsp;I\u0027ll\u0026nbsp;share my work on the disruption of\u0026nbsp;open source\u0026nbsp;dependency abandonment, revealing the unsupported challenges developers face when\u0026nbsp;identifying\u0026nbsp;and responding to abandonment,\u0026nbsp;identifying\u0026nbsp;factors that support successful downstream response, and\u0026nbsp;demonstrating\u0026nbsp;how theory-driven LLM-based systems can make those risks more visible. Second, I\u2019ll present findings from my recent collaboration with Microsoft Research about the disruption of GenAI adoption on development teams, demonstrating why adoption succeeds for some developers but stalls for others in seemingly similar contexts, showing the amplification effect organizational support mechanisms can have, and introducing the Productivity Pressure Paradox: a dynamic where increased productivity expectations without corresponding support can actually prevent developers from building the skills that would deliver those gains.\u0026nbsp;\u003Cbr\u003E\u0026nbsp;\u003Cbr\u003EFinally,\u0026nbsp;I\u2019ll\u0026nbsp;outline my research vision for helping developers\u0026nbsp;anticipate\u0026nbsp;and navigate the disruptions of tomorrow\u2014from building AI-powered tools for software supply chain resilience to studying how GenAI is reshaping development team practices and processes.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ECourtney Miller is a Software Engineering Ph.D. Candidate in the School of Computer Science at Carnegie Mellon University, co-advised by Bogdan Vasilescu and Christian K\u00e4stner. Her research examines how developers navigate technological disruptions\u2014from dependency abandonment threatening\u0026nbsp;open source\u0026nbsp;software supply chain sustainability and security to generative AI adoption reshaping development workflows.\u0026nbsp;\u003Cbr\u003E\u0026nbsp;\u003Cbr\u003EHer empirical approach combines human-centered qualitative techniques with large-scale data-driven analysis, modeling, and visualization to inform the development of\u0026nbsp;theoretically-grounded\u0026nbsp;insights and practice-driven tooling solutions. As part of the Secure Software Supply Chain Center (S3C2), her work has informed security practices through contributions to federal agency and industry supply chain security summits.\u0026nbsp;\u003Cbr\u003E\u0026nbsp;\u003Cbr\u003ECourtney has earned three ACM SIGSOFT Distinguished Paper Awards at the International Conference on Software Engineering (ICSE) and an NSF Graduate Research Fellowship. She has conducted two research internships at Microsoft Research. She holds a B.A. with honors in Computer Science and Statistics from New College of Florida. In her free time, she enjoys indoor cycling and leisurely walks with her 14-year-old toy poodle Chanel.\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cem\u003ENavigating\u0026nbsp;Sociotechnical Disruptions in Software Engineering\u0026nbsp;\u003C\/em\u003E\u003Cbr\u003ECourtney Miller,\u0026nbsp;Ph.D.\u0026nbsp;Candidate, Carnegie Mellon University\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"SCS Faculty Candidate Seminar: Courtney Miller"}],"uid":"36532","created_gmt":"2026-02-09 17:11:54","changed_gmt":"2026-02-09 17:14:37","author":"Morgan Usry","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-02-12T11:00:00-05:00","event_time_end":"2026-02-12T12:00:00-05:00","event_time_end_last":"2026-02-12T12:00:00-05:00","gmt_time_start":"2026-02-12 16:00:00","gmt_time_end":"2026-02-12 17:00:00","gmt_time_end_last":"2026-02-12 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"KACB 2447","extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"687433":{"#nid":"687433","#data":{"type":"event","title":"Computing for Good: C4G Perspectives ","body":[{"value":"\u003Cp\u003E12:30 p.m. Lunch\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;1 p.m. \u0022Modernizing C4G BLIS: The Road to BLIS 4.0\u0022\u003C\/p\u003E\u003Cp\u003EMitchell Rysavy (Senior Software Engineer, Microsoft)\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;1:30 p.m.\u0022Computing for Good in an Increasingly Bad World\u0022\u003C\/p\u003E\u003Cp\u003EMichael Best (Professor, School of International Affairs and School of Interactive Computing, Georgia Tech)\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;2 p.m. \u0022Disaster Response in Rural Communities\u0022\u003C\/p\u003E\u003Cp\u003EJustin McLellan (Software Engineering Manager, Crexi)\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;2:30 p.m. \u0022HandS together: Innovation and Collaboration for Greater Impact\u0022\u003C\/p\u003E\u003Cp\u003EProtip Biswas (Vice President, United Way Regional Commission on Homelessness)\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E12:30 p.m. Lunch\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;1 p.m. \u0022Modernizing C4G BLIS: The Road to BLIS 4.0\u0022\u003C\/p\u003E\u003Cp\u003EMitchell Rysavy (Senior Software Engineer, Microsoft)\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;1:30 p.m.\u0022Computing for Good in an Increasingly Bad World\u0022\u003C\/p\u003E\u003Cp\u003EMichael Best (Professor, School of International Affairs and School of Interactive Computing, Georgia Tech)\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;2 p.m. \u0022Disaster Response in Rural Communities\u0022\u003C\/p\u003E\u003Cp\u003EJustin McLellan (Software Engineering Manager, Crexi)\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;2:30 p.m. \u0022HandS together: Innovation and Collaboration for Greater Impact\u0022\u003C\/p\u003E\u003Cp\u003EProtip Biswas (Vice President, United Way Regional Commission on Homelessness)\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Join Computing for Good in learning how computing can better society."}],"uid":"36532","created_gmt":"2026-01-20 15:53:02","changed_gmt":"2026-01-20 15:55:59","author":"Morgan Usry","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-01-22T12:30:00-05:00","event_time_end":"2026-01-22T15:00:00-05:00","event_time_end_last":"2026-01-22T15:00:00-05:00","gmt_time_start":"2026-01-22 17:30:00","gmt_time_end":"2026-01-22 20:00:00","gmt_time_end_last":"2026-01-22 20:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Klaus Advanced Computing Building 1116","extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"322011","name":"College of Computing Events"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ESantosh Vempala, vempala@cc.gatech.edu\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"686194":{"#nid":"686194","#data":{"type":"event","title":"SCS Distinguished Lecture: Nitin Vaidya","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E Nitin Vaidya, professor at Georgetown University\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E Nov. 13 at 11 a.m.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E KACB 2443\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle: \u003C\/strong\u003EDistributed Optimization and Consensus in the Presence of Adversarial Agents\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Due to their many potential applications, there is a rich history of research on distributed consensus and distributed optimization. Distributed consensus requires the agents in the system to reach agreement on an output as a function of the inputs of the various agents. Distributed optimization requires the agents to collaboratively optimize a global cost function that consists of the summation of the local cost functions of the individual agents. Loss minimization in machine learning is a special case of this problem, and it has many other applications as well. The problems of consensus and optimization are inter-related, with some commonalities in the solutions used for these problems.\u003C\/p\u003E\u003Cp\u003EIn this talk, we will consider the above two problems in the presence of adversarial agents. The adversarial agents may misbehave and attempt to tamper with the outcome of the distributed computation. Such adversarial behavior may occur due to security compromise of the agents or due to software\/hardware failure. We will take an overview of some recent results on the above two problems, with an intuitive presentation of the proposed solutions.\u003C\/p\u003E\u003Cp\u003EThe talk will NOT assume any distributed computing background from the audience.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Nitin Vaidya is the Robert L. McDevitt, K.S.G., K.C.H.S. and Catherine H. McDevitt L.C.H.S. Chair Professor Computer Science at Georgetown University, where he served as the Department Chair during 2018-24. His current research interests are in the area of distributed algorithms, and previously he has worked on wireless networks. He received a Ph.D. from the University of Massachusetts at Amherst. He previously served as a Professor and Associate Head in Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign. He has co-authored papers that received awards at several conferences, including SSS, ACM MobiHoc and ACM MobiCom. He is a fellow of the IEEE. He has served as the Chair of the Steering Committee for the ACM PODC conference, as the Editor-in-Chief for the IEEE Transactions on Mobile Computing, and as the Editor-in-Chief for ACM SIGMOBILE publication MC2R.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E Nitin Vaidya, professor at Georgetown University\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E Nov. 13 at 11 a.m.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E KACB 2443\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"SCS Distinguished Lecture: Nitin Vaidya"}],"uid":"36532","created_gmt":"2025-11-04 21:06:16","changed_gmt":"2025-11-04 21:10:59","author":"Morgan Usry","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-11-13T11:00:00-05:00","event_time_end":"2025-11-13T12:00:00-05:00","event_time_end_last":"2025-11-13T12:00:00-05:00","gmt_time_start":"2025-11-13 16:00:00","gmt_time_end":"2025-11-13 17:00:00","gmt_time_end_last":"2025-11-13 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Klaus 2443","extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"322011","name":"College of Computing Events"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"686056":{"#nid":"686056","#data":{"type":"event","title":"SCS Distinguished Lecture: Xiangyu Zhang","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Xiangyu Zhang, professor at Purdue University\u0026nbsp;\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;Nov. 4, 11 a.m.- 12 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;KACB 2447\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E Neural-symbolic Software Auditing\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E: Software engineering is undergoing a major shift: while code generation has become increasingly automated, code\u202freview\u202fand\u202faudit\u202fremain stubbornly human-intensive. Code quality continues to be a persistent challenge, and developers often face the task of debugging or auditing code they did not write. LLMs hold promise for automating aspects of code analysis, yet they consistently fall short in auditing real-world repositories due to context limitations, hallucinations, and difficulty with repository-scale reasoning. In this talk, I will present our recent research that addresses these challenges. Specifically, RepoAudi is an autonomous, LLM-driven auditing agent designed for repository-level code analysis with high precision and efficiency. By mimicking expert auditors, it performs demand-driven, path-sensitive reasoning over control- and data-flow graphs, powered by abstraction, pointer tracking, and validation mechanisms. This approach has enabled RepoAudit to uncover hundreds of previously unknown bugs in mature software ecosystems, including the Linux kernel and OpenSSL. In order to extend the tool to audit binary executables that do not have any source code information, we developed a novel code-model training method and award-winning probabilistic program analysis approaches. These techniques enable RepoAudit to find dozens of vulnerabilities in real-world firmware by solely performing auditing. At the end, I will briefly discuss how to audit future software, namely, AI agents.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Xiangyu Zhang is a Samuel Conte professor at Purdue specializing in\u202fSoftware Engineering,\u202fAI\u202fred-teaming, and\u202fCyber\u202fForensics. His work involves developing techniques to detect bugs, including security vulnerabilities, in traditional software systems as well as AI models and systems, and to leverage AI techniques to perform software engineering and cybersecurity tasks. He has served as the Principal Investigator (PI) for numerous projects funded by organizations such as DARPA, IARPA, ONR, NSF, AirForce, and industry.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Xiangyu Zhang, professor at Purdue University\u0026nbsp;\u003Cbr\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp;Nov. 4, 11 a.m.- 12 p.m.\u003Cbr\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;KACB, 2447\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"SCS Distinguished Lecture: Xiangyu Zhang"}],"uid":"36532","created_gmt":"2025-10-28 20:07:49","changed_gmt":"2025-10-28 20:07:49","author":"Morgan Usry","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-11-04T11:00:00-05:00","event_time_end":"2025-11-04T12:00:00-05:00","event_time_end_last":"2025-11-04T12:00:00-05:00","gmt_time_start":"2025-11-04 16:00:00","gmt_time_end":"2025-11-04 17:00:00","gmt_time_end_last":"2025-11-04 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"KACB 2447","extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"322011","name":"College of Computing Events"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"675883":{"#nid":"675883","#data":{"type":"event","title":"2024 GT Computing Community 5K","body":[{"value":"\u003Cdiv\u003EThe College of Computing\u0026nbsp;is hosting the 2024 GT Computing Community 5K run on Saturday, August 24. The run starts at 8:30 a.m. in the Klaus Advanced Computing Building courtyard. Students, faculty, staff, and alumni are invited to participate.\u0026nbsp;\u003Cbr\u003E\u0026nbsp;\u003C\/div\u003E\u003Cul\u003E\u003Cli\u003E\u003Cdiv\u003ERegister for the 5K: \u003Ca href=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_3EMUEFBWUSdMLS6?Q_CHL=qr\u0022\u003Ehttps:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_3EMUEFBWUSdMLS6?Q_CHL=qr\u003C\/a\u003E\u003C\/div\u003E\u003C\/li\u003E\u003Cli\u003E\u003Cdiv\u003EVolunteer to support the 5K: \u003Ca href=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_eVsLxvaYtIl3TaC\u0022 id=\u0022OWA6aed180a-9736-7095-db5f-17e41a3b2da2\u0022 rel=\u0022noreferrer noopener\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_eVsLxvaYtIl3TaC\u0022\u003Ehttps:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_eVsLxvaYtIl3TaC\u003C\/a\u003E\u003C\/div\u003E\u003C\/li\u003E\u003C\/ul\u003E\u003Cdiv\u003ELate registration will take place on-site, starting at 7:30 a.m.\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\u003Cdiv\u003EThe GT Computing Community 5K is organized by the College of Computing\u0027s Office of Community \u0026amp; Student Engagement.\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cdiv\u003EThe College of Computing\u0026nbsp;is hosting the 2024 GT Computing Community 5K run on Saturday, August 24. The run is open to students, faculty, staff, and alumni.\u003C\/div\u003E\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The College of Computing is hosting the 2023 GT Computing Community 5K run to kickoff the Fall 2024 semester."}],"uid":"32045","created_gmt":"2024-08-09 14:50:12","changed_gmt":"2024-08-09 15:10:31","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-08-24T08:30:00-04:00","event_time_end":"2024-08-24T10:00:00-04:00","event_time_end_last":"2024-08-24T10:00:00-04:00","gmt_time_start":"2024-08-24 12:30:00","gmt_time_end":"2024-08-24 14:00:00","gmt_time_end_last":"2024-08-24 14:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Klaus Bldg. Courtyard","extras":["freebies"],"hg_media":{"674546":{"id":"674546","type":"image","title":"College of Computing 5K 2024.jpg","body":null,"created":"1723216155","gmt_created":"2024-08-09 15:09:15","changed":"1723216155","gmt_changed":"2024-08-09 15:09:15","alt":"2024 GT Computing Community 5K flyer","file":{"fid":"258089","name":"College of Computing 5K 2024.jpg","image_path":"\/sites\/default\/files\/2024\/08\/09\/College%20of%20Computing%205K%202024.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/08\/09\/College%20of%20Computing%205K%202024.jpg","mime":"image\/jpeg","size":389375,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/08\/09\/College%20of%20Computing%205K%202024.jpg?itok=EpJAaLtL"}}},"media_ids":["674546"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576491","name":"CRNCH"},{"id":"576481","name":"ML@GT"},{"id":"66442","name":"MS HCI"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"4546","name":"5k"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"661971":{"#nid":"661971","#data":{"type":"event","title":"GT Computing Diversity, Equity, and Inclusion Workshop","body":[{"value":"\u003Cp\u003EThe College of Computing\u0026#39;s Diversity, Equity, and Inclusion Council invites you to participate in the \u003Cem\u003EDiversity Wheel\u003C\/em\u003E, an engaging and interactive diversity activity with DEI expert\u0026nbsp;Chi Chi Ozekie. A Q\u0026amp;A session with Associate Dean of Inclusive Excellence Cedric Stallworth.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJoin us as we learn strategies for acknowledging, valuing, and respecting differences in the workplace and leave with action steps for building communication around diversity, equity, and inclusion. \u0026nbsp;Lunch will be served.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EEvent: \u0026nbsp;\u003C\/strong\u003EDiversity Activity and Q\u0026amp;A with Cedric Stallworth\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003E\u0026nbsp;Tuesday, October 18\u003Cbr \/\u003E\r\n\u003Cstrong\u003ETime:\u003C\/strong\u003E\u0026nbsp;\u0026nbsp;11 a.m. - 12:30 p.m.\u003Cbr \/\u003E\r\n\u003Cstrong\u003EPlace: \u0026nbsp;\u003C\/strong\u003EKlaus Bldg. Room\u0026nbsp;1116W\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo send your RSVP and submit your question for the\u0026nbsp;Q\u0026amp;A session with Cedric Stallworth, visit\u0026nbsp;\u003Ca href=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_cDaZCUdpLuJ6DPw\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_cDaZCUdpLuJ6DPw\u0022\u003Ehttps:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_cDaZCUdpLuJ6DPw\u003C\/a\u003E.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The College of Computing\u0027s Diversity, Equity, and Inclusion Council is hosting an interactive diversity activity with DEI expert Chi Chi Ozekie and a Q\u0026A session with Cedric Stallworth, associate dean of DEI."}],"uid":"32045","created_gmt":"2022-10-10 13:37:43","changed_gmt":"2022-10-10 13:40:51","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2022-10-18T12:00:00-04:00","event_time_end":"2022-10-18T13:30:00-04:00","event_time_end_last":"2022-10-18T13:30:00-04:00","gmt_time_start":"2022-10-18 16:00:00","gmt_time_end":"2022-10-18 17:30:00","gmt_time_end_last":"2022-10-18 17:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"661972":{"id":"661972","type":"image","title":"GT Computing DEI Event - Oct 18 2022","body":null,"created":"1665409127","gmt_created":"2022-10-10 13:38:47","changed":"1665409127","gmt_changed":"2022-10-10 13:38:47","alt":"College of Computing\u0027s Diversity, Equity, and Inclusion Council event","file":{"fid":"250734","name":"DEI-event-18oct22-image001.jpg","image_path":"\/sites\/default\/files\/images\/DEI-event-18oct22-image001.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/DEI-event-18oct22-image001.jpg","mime":"image\/jpeg","size":809824,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/DEI-event-18oct22-image001.jpg?itok=W6BWmrWG"}}},"media_ids":["661972"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"736","name":"diversity"},{"id":"10351","name":"inclusion"},{"id":"46361","name":"GT computing"},{"id":"191405","name":"Stallworth"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ECedric Stallworth,\u0026nbsp;Associate Dean of Inclusive Excellence\u003Cbr \/\u003E\r\n\u003Ca href=\u0022mailto:cedric@cc.gatech.edu\u0022\u003Ecedric@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"661933":{"#nid":"661933","#data":{"type":"event","title":"College of Computing Alumni Homecoming Tail Gate Party","body":[{"value":"\u003Cp\u003EThe College of Computing is welcoming its alumni for a tail gate celebration before the Homecoming Game. The fun begins at 1 p.m. in the Noonan Courtyard, which is located just outside of the Klaus Advanced Computing Bldg. The Klaus Atrium is the rain location for the tail gate, if needed.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The College of Computing is welcoming its alumni for a celebration before the Homecoming Game."}],"uid":"32045","created_gmt":"2022-10-07 17:23:24","changed_gmt":"2022-10-07 17:25:23","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2022-10-08T14:00:00-04:00","event_time_end":"2022-10-08T17:00:00-04:00","event_time_end_last":"2022-10-08T17:00:00-04:00","gmt_time_start":"2022-10-08 18:00:00","gmt_time_end":"2022-10-08 21:00:00","gmt_time_end_last":"2022-10-08 21:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"661934":{"id":"661934","type":"image","title":"GT Computing Alumni Homecoming 2022 Tail Gate","body":null,"created":"1665163485","gmt_created":"2022-10-07 17:24:45","changed":"1665163485","gmt_changed":"2022-10-07 17:24:45","alt":"GT Computing Alumni 2022 Homecoming Tail Gate Flyer","file":{"fid":"250730","name":"fall_2022 tailgate_mailchimp hero.jpg","image_path":"\/sites\/default\/files\/images\/fall_2022%20tailgate_mailchimp%20hero.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/fall_2022%20tailgate_mailchimp%20hero.jpg","mime":"image\/jpeg","size":721935,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/fall_2022%20tailgate_mailchimp%20hero.jpg?itok=4ZMLONqK"}}},"media_ids":["661934"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"576491","name":"CRNCH"},{"id":"545781","name":"Institute for Data Engineering and Science"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"661886":{"#nid":"661886","#data":{"type":"event","title":"A Decade of Machine Learning Accelerators: Lessons Learned and Carbon Footprint","body":[{"value":"\u003Cp\u003EDavid Patterson, professor-emeritus at UC Berkeley and a Google distinguished professor, will give a lecture, \u003Cem\u003EA Decade of Machine Learning Accelerators: Lessons Learned and Carbon Footprints\u003C\/em\u003E,\u0026nbsp;on October 12. The talk will take place at 11 am with a question-and-answer session at 11:40, and it will be in rooms 1116-1118 of the Marcus Nanotechnology Building.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe success of deep neural networks (DNNs) from Machine Learning (ML) has inspired domain specific architectures (DSAs) for them. Google\u0026rsquo;s first generation DSA offered 50x improvement over conventional architectures for ML inference in 2015. Google next built the first production DSA supercomputer for the much harder problem of training. Subsequent generations greatly improved performance of both phases. We start with ten lessons learned from such efforts.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe rapid growth of DNNs rightfully raised concerns about their\u0026nbsp;carbon\u0026nbsp;footprint. The second part of the talk identifies the \u0026ldquo;4Ms\u0026rdquo; (Model, Machine, Mechanization, Map) that, if optimized, can reduce ML training energy by up to 100x and\u0026nbsp;carbon\u0026nbsp;emissions up to 1000x. By improving the 4Ms, ML held steady at \u0026lt;15% of Google\u0026rsquo;s total energy use despite it consuming ~75% of its floating point operations.\u0026nbsp; With continuing focus on the 4Ms, we can realize the amazing potential of ML to positively impact many fields in a sustainable way.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/en.wikipedia.org\/wiki\/David_Patterson_(computer_scientist)\u0022 style=\u0022color: blue; text-decoration: underline;\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/en.wikipedia.org\/wiki\/David_Patterson_(computer_scientist)\u0022\u003EDavid Patterson\u003C\/a\u003E\u0026nbsp;is a UC Berkeley Pardee professor emeritus, a Google distinguished engineer, and the\u003Ca href=\u0022https:\/\/riscv.org\/\u0022 style=\u0022color: blue; text-decoration: underline;\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/riscv.org\/\u0022\u003E\u0026nbsp;RISC-V International\u003C\/a\u003E\u0026nbsp;Vice-Chair. His most influential Berkeley projects likely were\u003Ca href=\u0022https:\/\/en.wikipedia.org\/wiki\/Reduced_instruction_set_computer\u0022 style=\u0022color: blue; text-decoration: underline;\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/en.wikipedia.org\/wiki\/Reduced_instruction_set_computer\u0022\u003E\u0026nbsp;RISC\u003C\/a\u003E\u0026nbsp;and\u003Ca href=\u0022https:\/\/en.wikipedia.org\/wiki\/RAID\u0022 style=\u0022color: blue; text-decoration: underline;\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/en.wikipedia.org\/wiki\/RAID\u0022\u003E\u0026nbsp;RAID\u003C\/a\u003E. His best-known book is\u003Ca href=\u0022https:\/\/www.amazon.com\/Computer-Architecture-Quantitative-Approach-Kaufmann\/dp\/0128119055\u0022 style=\u0022color: blue; text-decoration: underline;\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/www.amazon.com\/Computer-Architecture-Quantitative-Approach-Kaufmann\/dp\/0128119055\u0022\u003E\u0026nbsp;\u003Cem\u003EComputer Architecture: A Quantitative Approach\u003C\/em\u003E\u003C\/a\u003E. He and his co-author John Hennessy shared the\u003Ca href=\u0022https:\/\/www.acm.org\/media-center\/2018\/march\/turing-award-2017\u0022 style=\u0022color: blue; text-decoration: underline;\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/www.acm.org\/media-center\/2018\/march\/turing-award-2017\u0022\u003E\u0026nbsp;2017 ACM A.M Turing Award\u003C\/a\u003E\u0026nbsp;and the\u003Ca href=\u0022https:\/\/cacm.acm.org\/news\/257773-risc-chip-innovators-receive-2022-charles-stark-draper-prize-for-engineering\u0022 style=\u0022color: blue; text-decoration: underline;\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/cacm.acm.org\/news\/257773-risc-chip-innovators-receive-2022-charles-stark-draper-prize-for-engineering\u0022\u003E\u0026nbsp;2022 NAE Charles Stark Draper Prize for Engineering\u003C\/a\u003E. The Turing Award is often referred to as the \u0026ldquo;Nobel Prize of Computing\u0026rdquo; and the Draper Prize is considered a \u0026ldquo;Nobel Prize of Engineering.\u0026rdquo;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"David Patterson, professor-emeritus at UC Berkeley and a Google distinguished professor, will give a lecture titled \u201cA Decade of Machine Learning Accelerators: Lessons Learned and Carbon Footprints,\u201d on October 12."}],"uid":"32045","created_gmt":"2022-10-06 15:20:09","changed_gmt":"2022-10-06 15:20:45","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2022-10-12T12:00:00-04:00","event_time_end":"2022-10-12T13:00:00-04:00","event_time_end_last":"2022-10-12T13:00:00-04:00","gmt_time_start":"2022-10-12 16:00:00","gmt_time_end":"2022-10-12 17:00:00","gmt_time_end_last":"2022-10-12 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EProfessor Tom Conte\u003Cbr \/\u003E\r\n\u003Ca href=\u0022mailto:conte@gatech.edu\u0022\u003Econte@gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"661825":{"#nid":"661825","#data":{"type":"event","title":"College of Computing Graduate Student Mixer","body":[{"value":"\u003Cp\u003ECome meet and mingle with your friends, colleagues, a few CAP companies and Dean Isbell!\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhere:\u003C\/strong\u003E \u003Ca href=\u0022https:\/\/www.gatechhotel.com\/\u0022 target=\u0022_blank\u0022\u003EGT Hotel Club Room\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u003Ca href=\u0022https:\/\/www.gatechhotel.com\/specials\u0022\u003E800 Spring St NW, Atlanta, GA 30308\u003C\/a\u003E\u003Cbr \/\u003E\r\nthe Club Room is located on the first floor of the Hotel\u003Cbr \/\u003E\r\n\u003Cstrong\u003EWhen: \u003C\/strong\u003EFriday,\u0026nbsp;October 21,\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003E5 - 8 p.m.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nThere will be pool tables, a raffle, and\u0026nbsp;a photo booth at this event!\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nRefreshments and drink tickets\u0026nbsp;provided. So\u0026nbsp;take a break from your studies, and come relax and have fun!\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Ca href=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_3kptkYFwRn4kgwS\u0022\u003E\u003Cstrong\u003EPlease RSVP by October 18\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"College Graduate Student Mixer October 21 2022"}],"uid":"28150","created_gmt":"2022-10-04 17:51:14","changed_gmt":"2022-10-04 17:51:14","author":"Birney Robert","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2022-10-21T18:00:00-04:00","event_time_end":"2022-10-21T21:00:00-04:00","event_time_end_last":"2022-10-21T21:00:00-04:00","gmt_time_start":"2022-10-21 22:00:00","gmt_time_end":"2022-10-22 01:00:00","gmt_time_end_last":"2022-10-22 01:00:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food","freebies"],"hg_media":{"656391":{"id":"656391","type":"image","title":"GT Computing Graduate Student Mixer","body":null,"created":"1647384505","gmt_created":"2022-03-15 22:48:25","changed":"1664905921","gmt_changed":"2022-10-04 17:52:01","alt":"","file":{"fid":"250689","name":"fall22_grad_student_mixer header.jpg","image_path":"\/sites\/default\/files\/images\/fall22_grad_student_mixer%20header_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/fall22_grad_student_mixer%20header_0.jpg","mime":"image\/jpeg","size":626169,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/fall22_grad_student_mixer%20header_0.jpg?itok=OGjMuIk-"}}},"media_ids":["656391"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"109","name":"Georgia Tech"},{"id":"654","name":"College of Computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBirney Robert\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ebrobert@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"660510":{"#nid":"660510","#data":{"type":"event","title":"Extension of Self: what it means to be human in a digital world","body":[{"value":"\u003Cp\u003E\u003Cem\u003E\u003Ca href=\u0022https:\/\/art.c21u.gatech.edu\/\u0022 title=\u0022https:\/\/art.c21u.gatech.edu\/\u0022\u003EExtension of Self: what it means to be human in a digital world\u003C\/a\u003E\u003C\/em\u003E\u0026nbsp;examines how scientists and artists can collaborate to improve access to science and technology for underserved communities. The exhibit is curated by College of Computing staff member Birney Robert and features an installation created by\u0026nbsp;a small team led by\u0026nbsp;\u003Cstrong\u003EAshutosh\u0026nbsp;\u003C\/strong\u003E\u003Cstrong\u003EDhekne\u003C\/strong\u003E, School of Computer Science assistant professor.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/art.c21u.gatech.edu\/\u0022\u003Ehttps:\/\/art.c21u.gatech.edu\/\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"This exhibition is the culmination of a $40,000 Georgia Tech\/Microsoft Accessibility Research Seed Grant presented to College of Computing staff member Birney Robert."}],"uid":"32045","created_gmt":"2022-08-24 19:45:01","changed_gmt":"2022-08-24 19:45:01","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2022-08-15T13:00:00-04:00","event_time_end":"2022-10-14T18:00:00-04:00","event_time_end_last":"2022-10-14T18:00:00-04:00","gmt_time_start":"2022-08-15 17:00:00","gmt_time_end":"2022-10-14 22:00:00","gmt_time_end_last":"2022-10-14 22:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"659627":{"id":"659627","type":"image","title":" Extension of Self: what it means to be human in a digital world","body":null,"created":"1658529762","gmt_created":"2022-07-22 22:42:42","changed":"1658529762","gmt_changed":"2022-07-22 22:42:42","alt":"","file":{"fid":"250015","name":"Screen Shot 2022-07-22 at 6.41.45 PM.png","image_path":"\/sites\/default\/files\/images\/Screen%20Shot%202022-07-22%20at%206.41.45%20PM.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Screen%20Shot%202022-07-22%20at%206.41.45%20PM.png","mime":"image\/png","size":259496,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Screen%20Shot%202022-07-22%20at%206.41.45%20PM.png?itok=NVK6CAik"}}},"media_ids":["659627"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBirney Robert, Event Coordinator\u003Cbr \/\u003E\r\n\u003Ca href=\u0022mailto:brobert3@gatech.edu?subject=Exhibit\u0022\u003Ebrobert3@gatech.edu\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"657499":{"#nid":"657499","#data":{"type":"event","title":"Dean\u0027s New Graduate Alumni Celebration","body":[{"value":"\u003Cp\u003EWe invite you and your guests to join us for the Spring 2022 Dean\u0026#39;s New Alumni Celebration for M.S. and Ph.D.\u0026nbsp;students\u0026nbsp;on May 5 at 4 p.m. in the Klaus Atrium.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nDuring the formal program, graduates and their guests will hear from Dean Charles Isbell, David Joyner, and Jennifer Whitlow.\u0026nbsp;\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nPlease\u0026nbsp;\u003Ca href=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_bKn7kh5NC9MoJCu\u0022 target=\u0022_blank\u0022\u003E\u003Cstrong\u003ERSVP\u003C\/strong\u003E\u003C\/a\u003E\u0026nbsp;no later than May 3.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Dean Charles Isbell is hosting a celebration for MS and Ph.D. Spring 2022 graduates from the College of Computing."}],"uid":"32045","created_gmt":"2022-04-22 01:23:06","changed_gmt":"2022-04-22 13:07:06","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2022-05-05T17:00:00-04:00","event_time_end":"2022-05-05T19:00:00-04:00","event_time_end_last":"2022-05-05T19:00:00-04:00","gmt_time_start":"2022-05-05 21:00:00","gmt_time_end":"2022-05-05 23:00:00","gmt_time_end_last":"2022-05-05 23:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"576491","name":"CRNCH"},{"id":"545781","name":"Institute for Data Engineering and Science"},{"id":"430601","name":"Institute for Information Security and Privacy"},{"id":"576481","name":"ML@GT"},{"id":"66442","name":"MS HCI"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJennifer Whitlow,\u0026nbsp;Director of Computing Enrollment \u0026amp; Engagement Initiatives\u003Cbr \/\u003E\r\n\u003Ca href=\u0022mailto:jwhitlow@cc.gatech.edu?subject=DNAC%20Spring%202022\u0022 title=\u0022mailto:jwhitlow@cc.gatech.edu\u0022\u003Ejwhitlow@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"656390":{"#nid":"656390","#data":{"type":"event","title":"College of Computing Graduate Student Mixer","body":[{"value":"\u003Cp\u003EThe College of Computing is hosting a mixer for its graduate student community on March 31. Come meet and mingle with your friends, colleagues, a few partners from the College\u0026#39;s Corporate Affiliate Program (CAP)\u0026nbsp;and Dean Isbell!\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhere:\u003C\/strong\u003E\u0026nbsp;\u003Ca href=\u0022https:\/\/www.gatechhotel.com\/\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/www.gatechhotel.com\/\u0022\u003EGT Hotel Club Room\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/800+Spring+St+NW,+Atlanta,+GA+30308\/@33.7764024,-84.3914487,17z\/data=!3m1!4b1!4m5!3m4!1s0x88f5046693bc42f9:0x991e5135bdaf9b05!8m2!3d33.7764024!4d-84.38926\u0022 target=\u0022_blank\u0022 title=\u0022\/\/800 Spring St NW, Atlanta, GA 30308\u0022\u003E800 Spring St NW, Atlanta, GA 30308\u003C\/a\u003E\u003Cbr \/\u003E\r\nthe Club Room is located on the first floor of the Hotel\u003Cbr \/\u003E\r\n\u003Cstrong\u003EWhen:\u0026nbsp;\u003C\/strong\u003EThursday, March 31,\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003E5 - 8 p.m.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nThere are two pool tables in the club room and we have reserved a photo booth so you can have a souvenir\u0026nbsp;of the evening.\u0026nbsp;Refreshments and drink tickets\u0026nbsp;provided. So\u0026nbsp;take a break from your studies, and come relax and have fun!\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The College of Computing is hosting a mixer for its graduate student community on March 31."}],"uid":"32045","created_gmt":"2022-03-15 22:44:41","changed_gmt":"2022-03-15 22:50:33","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2022-03-31T18:00:00-04:00","event_time_end":"2022-03-31T21:00:00-04:00","event_time_end_last":"2022-03-31T21:00:00-04:00","gmt_time_start":"2022-03-31 22:00:00","gmt_time_end":"2022-04-01 01:00:00","gmt_time_end_last":"2022-04-01 01:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"656391":{"id":"656391","type":"image","title":"GT Computing Graduate Student Mixer","body":null,"created":"1647384505","gmt_created":"2022-03-15 22:48:25","changed":"1664905921","gmt_changed":"2022-10-04 17:52:01","alt":"","file":{"fid":"250689","name":"fall22_grad_student_mixer header.jpg","image_path":"\/sites\/default\/files\/images\/fall22_grad_student_mixer%20header_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/fall22_grad_student_mixer%20header_0.jpg","mime":"image\/jpeg","size":626169,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/fall22_grad_student_mixer%20header_0.jpg?itok=OGjMuIk-"}}},"media_ids":["656391"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"606703","name":"Constellations Center"},{"id":"576491","name":"CRNCH"},{"id":"545781","name":"Institute for Data Engineering and Science"},{"id":"430601","name":"Institute for Information Security and Privacy"},{"id":"576481","name":"ML@GT"},{"id":"66442","name":"MS HCI"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"655772":{"#nid":"655772","#data":{"type":"event","title":"Women in Data Science Symposium","body":[{"value":"\u003Cp\u003EJoin the Institute for Data Engineering and Science for the first annual Women in Data Science Symposium at Georgia Tech.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMarch 11\u0026nbsp;\u003Cbr \/\u003E\r\n11 a.m. - 2 p.m.\u0026nbsp;\u003Cbr \/\u003E\r\nIn-person and virtual participation welcome. Register here to save your spot!\u0026nbsp;https:\/\/tinyurl.com\/WomenInDataScience22\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Join IDEaS for the First Annual Women in Data Science Symposium at Georgia Tech"}],"uid":"35403","created_gmt":"2022-02-25 01:26:26","changed_gmt":"2022-03-04 14:07:34","author":"Carly Ralston","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2022-03-11T11:00:00-05:00","event_time_end":"2022-03-11T14:00:00-05:00","event_time_end_last":"2022-03-11T14:00:00-05:00","gmt_time_start":"2022-03-11 16:00:00","gmt_time_end":"2022-03-11 19:00:00","gmt_time_end_last":"2022-03-11 19:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"655771":{"id":"655771","type":"image","title":"Women in Data Science Symposium","body":null,"created":"1645752012","gmt_created":"2022-02-25 01:20:12","changed":"1645752012","gmt_changed":"2022-02-25 01:20:12","alt":"","file":{"fid":"248622","name":"Screen Shot 2022-02-24 at 8.12.07 PM.png","image_path":"\/sites\/default\/files\/images\/Screen%20Shot%202022-02-24%20at%208.12.07%20PM.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Screen%20Shot%202022-02-24%20at%208.12.07%20PM.png","mime":"image\/png","size":4098141,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Screen%20Shot%202022-02-24%20at%208.12.07%20PM.png?itok=R8j7oSdq"}}},"media_ids":["655771"],"groups":[{"id":"545781","name":"Institute for Data Engineering and Science"},{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[{"id":"187023","name":"go-data"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"655955":{"#nid":"655955","#data":{"type":"event","title":"Google Research SVP Jeff Dean On-Campus Presentation: Five Exciting Trends in Machine Learning","body":[{"value":"\u003Cp\u003EGoogle Research Senior Vice President\u0026nbsp;\u003Cstrong\u003EJeff\u003C\/strong\u003E \u003Cstrong\u003EDean\u003C\/strong\u003E is coming to Georgia Tech!\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe College of Computing and the Machine Learning Center at Georgia Tech are hosting Dean, who is speaking on March 8, in the Clough Auditorium (144). His presentation,\u0026nbsp;\u003Cem\u003EFive Exciting Trends in Machine Learning,\u003C\/em\u003E\u0026nbsp;begins at 11 a.m.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Google Research SVP Jeff Dean will be on campus March 8 for an invited presentation touching on AI. "}],"uid":"32045","created_gmt":"2022-03-02 18:17:24","changed_gmt":"2022-03-02 23:38:24","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2022-03-08T11:00:00-05:00","event_time_end":"2022-03-08T12:00:00-05:00","event_time_end_last":"2022-03-08T12:00:00-05:00","gmt_time_start":"2022-03-08 16:00:00","gmt_time_end":"2022-03-08 17:00:00","gmt_time_end_last":"2022-03-08 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"655960":{"id":"655960","type":"image","title":"Google Research SVP Jeff Dean - Five Exciting Machine Learning Trends","body":null,"created":"1646248810","gmt_created":"2022-03-02 19:20:10","changed":"1646248810","gmt_changed":"2022-03-02 19:20:10","alt":"Google Research SVP Jeff Dean 5 Exciting Machine Learning Trends","file":{"fid":"248678","name":"Dean graphic_sml_rev2.jpg","image_path":"\/sites\/default\/files\/images\/Dean%20graphic_sml_rev2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Dean%20graphic_sml_rev2.jpg","mime":"image\/jpeg","size":525474,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Dean%20graphic_sml_rev2.jpg?itok=Gcc8Hr_4"}}},"media_ids":["655960"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"606703","name":"Constellations Center"},{"id":"576491","name":"CRNCH"},{"id":"545781","name":"Institute for Data Engineering and Science"},{"id":"430601","name":"Institute for Information Security and Privacy"},{"id":"576481","name":"ML@GT"},{"id":"66442","name":"MS HCI"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"182433","name":"Jeff Dean"},{"id":"190091","name":"Google AI"},{"id":"9167","name":"machine learning"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAnn Claycombe, Communications Director\u003Cbr \/\u003E\r\n\u003Ca href=\u0022mailto:ann.claycombe@cc.gatech.edu?subject=Jeff%20Dean%20Campus%20Visit\u0022\u003Eann.claycombe@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"654518":{"#nid":"654518","#data":{"type":"event","title":"Power of Two ","body":[{"value":"\u003Cp\u003EThe College of Computing is celebrating the Power of Two in this special day-long event on 2.22.22. The Power of Two is fundamental to computing in two ways: as a reference to binary, and as a way to talk about the strength we have when we work together. There will be multiple student events (with food!) and an 11 a.m. Q\u0026amp;A for students and a 5 p.m. Fireside Chat with the Dean!\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EPower of Two Schedule\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cblockquote\u003E\r\n\u003Cp\u003E9 -10:30 a.m.|\u0026nbsp;Breakfast\u0026nbsp;for everyone\u0026nbsp;in Computing!...\u0026nbsp;bacon\u0026nbsp;- Klaus Atrium\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E11 a.m. -12 p.m. |\u0026nbsp;Computing\u0026nbsp;Student\u0026nbsp;Conversations w\/\u0026nbsp;the\u0026nbsp;Dean -\u0026nbsp;Klaus 1443\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E1200pm-130pm\u0026nbsp;|\u0026nbsp;GT Computing Faculty and\u0026nbsp;Staff Lunch\u0026nbsp;-\u0026nbsp;Klaus Atrium\u003C\/p\u003E\r\n\r\n\u003Cp\u003E2 -4 p.m. |\u0026nbsp;Afternoon snacks and games for everyone in Computing - Klaus 1116\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E2:22 p.m. |\u0026nbsp;Giveaways\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003E- Klaus 1116\u0026nbsp;\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E5:00 p.m. | In-person Fireside Chat with Dean Isbell -\u0026nbsp;Clough 144\u003Cbr \/\u003E\r\n(Join virtually\u0026nbsp;\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/live-event\/fcqeauxz\u0022\u003Ehttps:\/\/primetime.bluejeans.com\/a2m\/live-event\/fcqeauxz\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELive\u0026nbsp;stream\u0026nbsp;for\u0026nbsp;Computing, Alumni and OMSCS\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E6:30 \u0026ndash; 9 p.m.\u0026nbsp;|\u0026nbsp;Reception and Monte Carlo Night - Alumni, Students, Faculty, and Staff - Klaus Atrium and Room 1116\u003C\/p\u003E\r\n\u003C\/blockquote\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The College of Computing is celebrating the Power of Two in this special day-long event."}],"uid":"32045","created_gmt":"2022-01-18 20:50:26","changed_gmt":"2022-02-18 14:54:21","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2022-02-22T09:00:00-05:00","event_time_end":"2022-02-22T16:00:00-05:00","event_time_end_last":"2022-02-22T16:00:00-05:00","gmt_time_start":"2022-02-22 14:00:00","gmt_time_end":"2022-02-22 21:00:00","gmt_time_end_last":"2022-02-22 21:00:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food"],"hg_media":{"655582":{"id":"655582","type":"image","title":"GT Computing Power of Two Event Save the Date","body":null,"created":"1645195987","gmt_created":"2022-02-18 14:53:07","changed":"1645195987","gmt_changed":"2022-02-18 14:53:07","alt":"GT Computing Power of Two Event Save the Date","file":{"fid":"248543","name":"p of 2 std.jpeg","image_path":"\/sites\/default\/files\/images\/p%20of%202%20std.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/p%20of%202%20std.jpeg","mime":"image\/jpeg","size":61967,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/p%20of%202%20std.jpeg?itok=WuLHOCxa"}}},"media_ids":["655582"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"606703","name":"Constellations Center"},{"id":"430601","name":"Institute for Information Security and Privacy"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"},{"id":"576491","name":"CRNCH"},{"id":"545781","name":"Institute for Data Engineering and Science"},{"id":"576481","name":"ML@GT"},{"id":"66442","name":"MS HCI"},{"id":"431631","name":"OMS"}],"categories":[],"keywords":[{"id":"46361","name":"GT computing"},{"id":"190003","name":"Power of Two"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAnn Claycombe, Director of Communications\u003Cbr \/\u003E\r\n\u003Ca href=\u0022mailto:claycombe@cc.gatech.edu?subject=Power%20of%20Two%20event\u0022\u003Eclaycombe@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"655192":{"#nid":"655192","#data":{"type":"event","title":"School of Cybersecurity \u0026 Privacy Recruiting Seminar","body":[{"value":"\u003Cp\u003EThe School of Cybersecurity \u0026amp; Privacy is welcoming\u0026nbsp;\u003Cstrong\u003EBenedikt B\u0026uuml;nz\u003C\/strong\u003E for a seminar titled, \u003Cem\u003EImproving the Privacy, Scalability, and Ecological Impact of Blockchains\u003C\/em\u003E.\u0026nbsp;B\u0026uuml;nz\u0026nbsp;is a Ph.D. student at Stanford University in the applied cryptography lab with Dan Boneh. His work focuses on the science of blockchains.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe faculty recruiting seminar is scheduled for Feb. 8 at 12 p.m. in the 9th floor atrium of the Coda Building.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E: Blockchains are an exciting area of research that touches on many areas of Computer Science and beyond. This technology has the potential to enable a fast, cheap, and private financial system based on distributed consensus and cryptography, instead of trusted parties.\u0026nbsp;Despite this potential, the reality still shows severe limitations of blockchains: (i) transactions can cost hundreds of dollars and take minutes to confirm, (ii) some blockchains offer little privacy, and (iii) proof-of-work consensus consumes too much energy.\u0026nbsp;In this talk, I will discuss powerful techniques that follow a prover paradigm and can mitigate these limitations.\u0026nbsp;The first technique, called\u0026nbsp;Bulletproofs, is a general-purpose zero-knowledge proof system that is specifically designed to enable confidential blockchain transactions. Bulletproofs requires minimal trust assumptions and gives the shortest zero-knowledge proofs without a trusted setup. The system is widely deployed and powers tens of thousands of private blockchain transactions per day. The second technique, called inner pairing products, is a way to aggregate many zero-knowledge proofs into a single short proof. This can significantly reduce on-chain data, leading to a significant increase in transactions per second that the chain can process. The third technique is a new concept called a verifiable delay function (VDF) that is vital for permission-less and eco-friendly consensus. VDFs are already deployed in Filecoin and Chia, and are planned for Ethereum 2.0, the upcoming upgrade to Ethereum.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The School of Cybersecurity \u0026 Privacy is welcoming Stanford University Ph.D. student Benedikt B\u00fcnz for a seminar about improving the privacy, scalability, and ecological impact of blockchains. "}],"uid":"32045","created_gmt":"2022-02-04 15:19:03","changed_gmt":"2022-02-04 15:32:17","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2022-02-08T12:08:00-05:00","event_time_end":"2022-02-08T13:00:00-05:00","event_time_end_last":"2022-02-08T13:00:00-05:00","gmt_time_start":"2022-02-08 17:08:00","gmt_time_end":"2022-02-08 18:00:00","gmt_time_end_last":"2022-02-08 18:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"related_links":[{"url":"https:\/\/scp.cc.gatech.edu\/calendar_event\/scp-recruiting-seminar-benedikt-bunz-improving-the-privacy-scalability-and-ecological-impact-of-blockchains\/","title":"School of Cybersecurity \u0026 Privacy Recruiting Seminar"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKenya Payton, Assistant to the School Chair\u003Cbr \/\u003E\r\n\u003Ca href=\u0022mailto:mailto:kpayton6@gatech.edu?subject=SCP%20Recruiting%20Seminar\u0022\u003Emailto:kpayton6@gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"653047":{"#nid":"653047","#data":{"type":"event","title":"SCS Colloquium: Ellen Zegura","body":[{"value":"\u003Cp\u003EBLUEJEANS:\u0026nbsp;\u003Ca href=\u0022https:\/\/bluejeans.com\/989658522\/7900?src=calendarLink\u0022 style=\u0022color: rgb(4, 74, 145); text-decoration: underline;\u0022 title=\u0022https:\/\/bluejeans.com\/989658522\/7900?src=calendarLink\u0022\u003Ehttps:\/\/bluejeans.com\/989658522\/7900?src=calendarLink\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETITLE:\u0026nbsp;\u0026nbsp;\u003Cem\u003EOld and New Challenges in Networking\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Ellen Zegura is Regents\u0026rsquo; and Fleming Endowed Professor of Computer Science at Georgia Tech. She works in two primary areas, computer networking and computing for social good. In computer networking, she is known for her work on Internet topology tools and for inventing the message ferries for communicating in sparse networks. Her work in computing and social good includes work in Liberia with the Carter Center, with Native Americans in the Southwest, and with residents of the Westside of Atlanta. In education she is co-creator of the GT Serve Learn Sustain initiative, which prepares students to use their disciplinary skills to create sustainable communities. She co-led the Civic Data Science summer internship program, an NSF-funded Research Experience for Undergraduates site that has trained more than 70 students. She is a Fellow of the IEEE and ACM, and recently stepped down as Chair of the Computing Research Association Board.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Old and New Challenges in Networking "}],"uid":"34541","created_gmt":"2021-11-19 17:16:06","changed_gmt":"2021-12-09 17:46:54","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-12-09T14:00:00-05:00","event_time_end":"2021-12-09T15:00:00-05:00","event_time_end_last":"2021-12-09T15:00:00-05:00","gmt_time_start":"2021-12-09 19:00:00","gmt_time_end":"2021-12-09 20:00:00","gmt_time_end_last":"2021-12-09 20:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"618036":{"id":"618036","type":"image","title":"Ellen Zegura","body":null,"created":"1550524714","gmt_created":"2019-02-18 21:18:34","changed":"1550524714","gmt_changed":"2019-02-18 21:18:34","alt":"Ellen Zegura","file":{"fid":"235261","name":"zeguraellen.jpg","image_path":"\/sites\/default\/files\/images\/zeguraellen.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/zeguraellen.jpg","mime":"image\/jpeg","size":60255,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/zeguraellen.jpg?itok=6cHaVySr"}}},"media_ids":["618036"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"651275":{"#nid":"651275","#data":{"type":"event","title":"SCS Colloquium: Alfred Spector","body":[{"value":"\u003Cp\u003ETITLE: \u0026nbsp;\u003Cem\u003EOpportunities \u0026amp; Perils of Data Science\u0026nbsp;\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EData science has provided unprecedented opportunities to learn new insights and to predict, recommend, cluster, classify, transform, and optimize. Catalyzed by large-scale, networked computer systems, vast availability of data, and machine learning algorithms, data science has been extraordinarily impactful to-date, and it holds great promise in all disciplines. However, no new technology arrives without complications, and we have recently seen both the press and various political circles illustrating real, potential, and fictional implications of the field.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nThis presentation aims to balance the opportunities provided by data science against the many challenges that have ensued. \u0026nbsp;At its core, the talk proposes\u0026nbsp;a rubric that practitioners can apply to tease out data science\u0026rsquo;s complexities and also maps out seven categories of data sciences challenges, ranging from engineering to ethics. The talk is illustrated with examples from many applications, and it\u0026nbsp;concludes with some suggested ways to address the downsides of the field.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Alfred Spector was most recently CTO and Head of Engineering at\u0026nbsp;\u003Ca href=\u0022https:\/\/www.twosigma.com\/\u0022\u003ETwo Sigma\u003C\/a\u003E, a firm dedicated to algorithmic approaches to a wide collection of financial optimization problems. His career has led him from innovation in large scale, networked computing systems to broad engineering and research leadership.\u0026nbsp; Most recently, he has been writing a book on Data Science, which will be published in early 2022. \u0026nbsp;\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPrior to Two Sigma, Spector spent nearly eight years as VP of Research and Special Initiatives at\u0026nbsp;\u003Ca href=\u0022https:\/\/www.google.com\/intl\/en\/about\u0022\u003EGoogle\u003C\/a\u003E. Before Google, Spector held various senior-level positions at\u0026nbsp;\u003Ca href=\u0022https:\/\/www.ibm.com\/us-en\u0022\u003EIBM\u003C\/a\u003E, including as global VP of Services and Software Research and global CTO of IBM\u0026rsquo;s Software Business. He previously founded\u0026nbsp;\u003Ca href=\u0022http:\/\/www.transarc.com\/\u0022\u003ETransarc Corporation\u003C\/a\u003E, a pioneer in distributed transaction processing and wide-area file systems (which was acquired by IBM), and he was a tenured professor at\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cs.cmu.edu\/\u0022\u003ECarnegie Mellon University\u003C\/a\u003E.\u0026nbsp; Dr. Spector obtained a Ph.D. in computer science from\u0026nbsp;\u003Ca href=\u0022https:\/\/www.stanford.edu\/\u0022\u003EStanford\u003C\/a\u003E\u0026nbsp;and a B.A. in applied math from\u0026nbsp;\u003Ca href=\u0022https:\/\/www.harvard.edu\/\u0022\u003EHarvard\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESpector was a\u0026nbsp;\u003Ca href=\u0022https:\/\/hertzfoundation.org\/\u0022\u003EHertz Fellow\u003C\/a\u003E\u0026nbsp;at Stanford and is also a Fellow of both the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.acm.org\/\u0022\u003EACM\u003C\/a\u003E\u0026nbsp;and the\u0026nbsp;\u003Ca href=\u0022http:\/\/www.ieee.org\/\u0022\u003EIEEE\u003C\/a\u003E. He is an active member of the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.nae.edu\/\u0022\u003ENational Academy of Engineering\u003C\/a\u003E\u0026nbsp;and the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.amacad.org\/\u0022\u003EAmerican Academy of Arts and Sciences\u003C\/a\u003E, where he serves on the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.amacad.org\/about\/governance\/council\u0022\u003ECouncil\u003C\/a\u003E. Dr. Spector won the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.computer.org\/web\/awards\/kanai\u0022\u003E2001 IEEE Kanai Award for Distributed Computing\u003C\/a\u003Eand the\u0026nbsp;\u003Ca href=\u0022https:\/\/awards.acm.org\/award_winners\/spector_CR79707\u0022\u003E2016 ACM Software Systems Award\u003C\/a\u003E. In 2018-19, Dr. Spector lectured widely as a\u0026nbsp;\u003Ca href=\u0022https:\/\/www.pbk.org\/VisitingScholars\/Scholars\/Alfred-Spector\u0022\u003EPhi Beta Kappa Scholar\u003C\/a\u003E\u0026nbsp;and has been a member of the\u0026nbsp;\u003Ca href=\u0022https:\/\/amturing.acm.org\/committee.cfm\u0022\u003EACM Turing Award Committee\u003C\/a\u003E.\u0026nbsp; As to government service,\u0026nbsp; Spector was a member of the\u0026nbsp;\u003Ca href=\u0022https:\/\/asb.army.mil\/\u0022\u003EArmy Science Board\u003C\/a\u003E, and he chaired the NSF\u0026rsquo;s\u0026nbsp;\u003Ca href=\u0022https:\/\/www.nsf.gov\/cise\/advisory.jsp\u0022\u003ECISE Advisory Board\u003C\/a\u003E.\u0026nbsp; He has had extensive international experience due to broad responsibilities at IBM, Google, and Two Sigma.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERecently, Spector has lectured widely on the growing importance of computer science across all disciplines based on the evocative phrase, CS+X.\u0026nbsp; More recently, he has written and lectured on the societal implications of data science -- both the great benefits and the unintended consequences. He has participated in many committees on education and technology-related policy.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":" Opportunities \u0026 Perils of Data Science "}],"uid":"34541","created_gmt":"2021-09-30 18:34:42","changed_gmt":"2021-10-04 13:49:57","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-10-15T15:00:00-04:00","event_time_end":"2021-10-15T16:00:00-04:00","event_time_end_last":"2021-10-15T16:00:00-04:00","gmt_time_start":"2021-10-15 19:00:00","gmt_time_end":"2021-10-15 20:00:00","gmt_time_end_last":"2021-10-15 20:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"651276":{"id":"651276","type":"image","title":"Alfred Spector","body":null,"created":"1633026957","gmt_created":"2021-09-30 18:35:57","changed":"1633026957","gmt_changed":"2021-09-30 18:35:57","alt":"Alfred Spector","file":{"fid":"247106","name":"Headshot_of_Alfred_Spector.jpg","image_path":"\/sites\/default\/files\/images\/Headshot_of_Alfred_Spector.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Headshot_of_Alfred_Spector.jpg","mime":"image\/jpeg","size":199725,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Headshot_of_Alfred_Spector.jpg?itok=h65a6WXr"}}},"media_ids":["651276"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto: tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"650633":{"#nid":"650633","#data":{"type":"event","title":"Machine Learning Virtual Seminar: Towards a Theory of Representation Learning for Reinforcement Learning","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Provably sample-efficient reinforcement learning from rich observational inputs remains a key open challenge in research. While impressive recent advances have allowed the use of linear modelling while carrying out sample-efficient exploration and learning, the handling of more general non-linear models remains limited. In this talk, we study reinforcement learning using linear models, where the features underlying the linear model are learned, rather than apriori specified. While the broader question of representation learning for useful embeddings of complex data has seen tremendous progress, doing so in reinforcement learning presents additional challenges: good representations cannot be discovered without adequate exploration, but effective exploration is challenging in the absence of good representations. Concretely, we study this question in the context of low-rank MDPs [Jiang et al., 2017, Jin et al., 2019, Yang and Wang, 2019], where the features underlying a state-action pair are not assumed to be known, unlike most prior works. We develop two styles of methods, model-based and model-free. For the model-based method, we learn an approximate factorization of the transition model, plan within the model to obtain a fresh exploratory policy and then update our factorization with additional data. In the model-free technique, we learn features so that quantities such as value functions at subsequent states can be predicted linearly in those features. In both approaches, we address the intricate coupling between exploration and representation learning, and provide sample complexity guarantees. More details can be found at\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2006.10814\u0022\u003Ehttps:\/\/arxiv.org\/abs\/2006.10814\u003C\/a\u003E\u0026nbsp;and\u0026nbsp;\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2102.07035\u0022\u003Ehttps:\/\/arxiv.org\/abs\/2102.07035\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003E[Based on joint work with Jingling Chen, Nan Jiang, Sham Kakade, Akshay Krishnamurthy, Aditya Modi and Wen Sun]\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Alekh Agarwal is a researcher who works on theoretical foundations of machine learning, spanning many areas including large-scale and distributed optimization, high-dimensional statistics, online learning, and most recently reinforcement learning. He focuses on designing theoretically sound methods which lend themselves to practice, and his work at Microsoft has resulted in the creation of a new Azure service (\u003Ca href=\u0022https:\/\/aka.ms\/personalizer\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/aka.ms\/personalizer\u003C\/a\u003E) that operationalizes some of his reinforcement learning research. His work has been recognized with a NeurIPS best paper award and an ACM SIGAI Industry Impact award for his work on the Azure Personalization Service.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERegister and Attend:\u0026nbsp;\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/qxugrckz\u0022\u003E\u003Cstrong\u003Ehttps:\/\/primetime.bluejeans.com\/a2m\/register\/qxugrckz\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Alekh Agarwal gives the Sept. 15 Machine Learning at Georgia Tech virtual seminar."}],"uid":"33939","created_gmt":"2021-09-09 21:28:02","changed_gmt":"2021-09-09 21:28:02","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-09-15T13:15:00-04:00","event_time_end":"2021-09-15T14:15:00-04:00","event_time_end_last":"2021-09-15T14:15:00-04:00","gmt_time_start":"2021-09-15 17:15:00","gmt_time_end":"2021-09-15 18:15:00","gmt_time_end_last":"2021-09-15 18:15:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKyla Hanson\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:khanson@cc.gatech.edu\u0022\u003Ekhanson@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"650625":{"#nid":"650625","#data":{"type":"event","title":"Machine Learning Virtual Seminar: Structured Prediction - Beyond Support Vector Machine and Cross Entropy","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u0026nbsp;Many classification tasks in machine learning lie beyond the classical binary and multi-class classification settings. In those tasks, the output elements are structured objects made of interdependent parts, such as sequences in natural language processing, images in computer vision, permutations in ranking or matching problems, etc. The structured prediction setting has two key properties that makes it radically different from multi-class classification, namely, the exponential growth of the size of the output space with the number of its parts, and the cost-sensitive nature of the learning task, as prediction mistakes are not equally costly. In this talk, I will present recent work on the design on loss functions that combine numerical efficiency and statistical consistency (joint work with Alessandro Rudi, Alex Nowak-Vila, Vivien Cabannes).\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u0026nbsp;Francis Bach is a researcher at INRIA in the Computer Science department of Ecole Normale Sup\u0026eacute;rieure, in Paris, France. He has\u0026nbsp;been working on machine learning since 2000, with a focus on algorithmic and theoretical contributions, in particular in optimization. Past papers can be downloaded from his\u0026nbsp;\u003Ca href=\u0022http:\/\/www.di.ens.fr\/~fbach\u0022\u003Eweb page\u003C\/a\u003E\u0026nbsp;or\u0026nbsp;\u003Ca href=\u0022https:\/\/scholar.google.fr\/citations?user=6PJWcFEAAAAJ\u0022\u003EGoogle Scholar page\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ERegister and Attend:\u0026nbsp;\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/eqttretz\u0022\u003Ehttps:\/\/primetime.bluejeans.com\/a2m\/register\/eqttretz\u003C\/a\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Francis Bach provides the Sept. 29 virtual machine learning seminar."}],"uid":"33939","created_gmt":"2021-09-09 20:08:57","changed_gmt":"2021-09-09 20:08:57","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-09-29T13:15:00-04:00","event_time_end":"2021-09-29T14:15:00-04:00","event_time_end_last":"2021-09-29T14:15:00-04:00","gmt_time_start":"2021-09-29 17:15:00","gmt_time_end":"2021-09-29 18:15:00","gmt_time_end_last":"2021-09-29 18:15:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKyla Hanson\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:khanson@cc.gatech.edu\u0022\u003Ekhanson@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"647974":{"#nid":"647974","#data":{"type":"event","title":"The Debate that Changed Programming:  A Living History of Computing\u2019s Famous Collaboration","body":[{"value":"\u003Cp\u003EA quarter century into the modern era of computing, two young assistant professors joined forces with the legendary Alan Perlis, one of the founding fathers of American computer science, and would publish a paper challenging the conventional wisdom that computer programming should be formal and mathematical.\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003EIt was a shot across the bow to Edsgar Dijkstra, Tony Hoare and many others who sought the certainty of mathematical proofs of software correctness. The paper would become a lightning rod for a debate that would continue for the better part of four decades. It moved federal funding patterns and was the backdrop for dramatic showdowns between formalists and pragmatists.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETwenty years later, those same assistant professors ended up in the College of Computing at Georgia Tech to continue their lifelong collaboration. One of them, W. Storey Professor of Computing \u003Cstrong\u003ERichard \u0026ldquo;Dick\u0026rdquo; Lipton\u003C\/strong\u003E was the first Georgia Tech computer scientist elected to the National Academy of Engineering. The other was \u003Cstrong\u003ERichard \u0026ldquo;Rich\u0026rdquo; DeMillo\u003C\/strong\u003E, who left his position as Chief Technology Officer at Hewlett-Packard to become the John P. Imlay Jr. Dean of Computing.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETheir seminal 1979 work, \u0026ldquo;\u003Ca href=\u0022https:\/\/www.cs.umd.edu\/~gasarch\/BLOGPAPERS\/social.pdf\u0022\u003ESocial Processes and Proofs of Theorems and Programs\u003C\/a\u003E,\u0026rdquo; is now part of a new collection of 46 classic papers in computer science published as a book this year from the MIT Press.\u0026nbsp;\u003Cem\u003EIdeas That Created the Future\u003C\/em\u003E\u0026nbsp;by Harvard Professor \u003Cstrong\u003EHarry Lewis\u003C\/strong\u003E spans the intellectual birth and growth of the field \u0026ndash; from Leibnitz and Boole to Knuth and RSA \u0026ndash; and covers the sweeping discoveries and advancements that have come to define computer science. As Lewis points out in his introductory essay, \u0026ldquo;The fact that some computer scientists still bristle when this paper is mentioned is testament to its dialectic force.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe College of Computing at Georgia Tech invites you to take part in a historical conversation between Rich DeMillo and Dick Lipton, two pioneers in computer science who helped shape a field that has come to reshape how we live every day.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/ytjgtuwd\u0022\u003EJoin the virtual fireside chat\u003C\/a\u003E, Thursday, June 17, 2021, at 7 PM ET, for this living history \u0026ndash; as told by the men who lived it \u0026ndash; and hear about the experiences and their roles in this turning point in computer science.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe College of Computing at Georgia Tech invites you to take part in a historical conversation between Rich DeMillo and Dick Lipton, two pioneers in computer science who helped shape a field that has come to reshape how we live every day.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/ytjgtuwd\u0022\u003EJoin the virtual fireside chat\u003C\/a\u003E, Thursday, June 17, 2021, at 7 PM ET, for this living history \u0026ndash; as told by the men who lived it \u0026ndash; and hear about the experiences and their roles in a\u0026nbsp;turning point in the modern history of computer science.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"The College of Computing at Georgia Tech invites you to take part in a historical conversation between Rich DeMillo and Dick Lipton, two pioneers in computer science who helped shape a field that has come to reshape how we live every day."}],"uid":"27592","created_gmt":"2021-06-08 14:01:35","changed_gmt":"2021-06-08 14:08:05","author":"Joshua Preston","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-06-17T20:00:00-04:00","event_time_end":"2021-06-17T21:30:00-04:00","event_time_end_last":"2021-06-17T21:30:00-04:00","gmt_time_start":"2021-06-18 00:00:00","gmt_time_end":"2021-06-18 01:30:00","gmt_time_end_last":"2021-06-18 01:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"647975":{"id":"647975","type":"image","title":"The Debate that Changed Programming:  A Living History of Computing\u2019s Famous Collaboration","body":null,"created":"1623161125","gmt_created":"2021-06-08 14:05:25","changed":"1623161125","gmt_changed":"2021-06-08 14:05:25","alt":"","file":{"fid":"245976","name":"Save_the_date_2021.06.17_living history_two mavericks2.jpg","image_path":"\/sites\/default\/files\/images\/Save_the_date_2021.06.17_living%20history_two%20mavericks2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Save_the_date_2021.06.17_living%20history_two%20mavericks2.jpg","mime":"image\/jpeg","size":344950,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Save_the_date_2021.06.17_living%20history_two%20mavericks2.jpg?itok=RJWhMXzj"}}},"media_ids":["647975"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"646131":{"#nid":"646131","#data":{"type":"event","title":"Spring 2021 Dean\u0027s New Graduate Alumni (Virtual) Celebration","body":[{"value":"\u003Cp\u003ECongratulations! You are about to earn your graduate degree from Georgia Tech, and we want to honor your achievement and help you celebrate!\u003C\/p\u003E\r\n\r\n\u003Cp\u003EStudents, families, faculty and staff, please join us for a virtual Dean\u0026#39;s Welcome New Graduate Alumni Celebration, to\u0026nbsp;be held, May 15\u0026nbsp;at 12 - 2\u0026nbsp;p.m. EST on Gatherly (links and additional information still being determined)\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nThe program\u0026nbsp;is as follows;\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EWelcome:\u003C\/strong\u003E Jennifer Whitlow, Director of Computing Enrollment and Alumni Engagement\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003ECharles Isbell\u003C\/strong\u003E, Dean of the College of Computing, John P. Imlay Jr. Chair\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EDavid Joyner\u003C\/strong\u003E, Executive Director, Online Education \u0026amp; OMSCS\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EClosing: \u003C\/strong\u003EJennifer Whitlow\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nTotal run time is ~2 hours\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nBe sure to tag your Dean\u0026rsquo;s New Alumni Celebration photos and posts on Instagram and Twitter with #GTComputing and #GT21\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nWe wish all of our graduates a safe, healthy, and enjoyable summer!\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Spring 2021 Dean\u0027s New Graduate Alumni (Virtual) Celebration"}],"uid":"28150","created_gmt":"2021-04-05 18:16:54","changed_gmt":"2021-05-07 13:24:27","author":"Birney Robert","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-05-15T13:00:00-04:00","event_time_end":"2021-05-15T15:00:00-04:00","event_time_end_last":"2021-05-15T15:00:00-04:00","gmt_time_start":"2021-05-15 17:00:00","gmt_time_end":"2021-05-15 19:00:00","gmt_time_end_last":"2021-05-15 19:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"646349":{"id":"646349","type":"image","title":"Spring 2021 DNGAC","body":null,"created":"1618151059","gmt_created":"2021-04-11 14:24:19","changed":"1618151059","gmt_changed":"2021-04-11 14:24:19","alt":"","file":{"fid":"245355","name":"DNGAC_Spr21 mailchimp hero.jpg","image_path":"\/sites\/default\/files\/images\/DNGAC_Spr21%20mailchimp%20hero.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/DNGAC_Spr21%20mailchimp%20hero.jpg","mime":"image\/jpeg","size":481408,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/DNGAC_Spr21%20mailchimp%20hero.jpg?itok=FktDwJpt"}}},"media_ids":["646349"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"654","name":"College of Computing"},{"id":"168540","name":"New Alumni"},{"id":"109","name":"Georgia Tech"},{"id":"168539","name":"Dean\u0027s New Alumni Celebration"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Joyner\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.joyner@gatech.edu\u0022 title=\u0022mailto:david.joyner@gatech.edu\u0022\u003Edavid.joyner@gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"646944":{"#nid":"646944","#data":{"type":"event","title":"PhD Thesis Proposal - Scott Freitas","body":[{"value":"\u003Cp\u003EGeorgia Tech faculty, staff, and students and any interested members of the public are\u0026nbsp;kindly invited\u0026nbsp;to attend Scott Freitas\u0026#39; Ph.D. thesis proposal presentation. Please see the details\u0026nbsp;below.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EDeveloping Robust Models, Algorithms, Databases, and Tools with Applications to Cybersecurity and Healthcare\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u003C\/strong\u003E\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003EWednesday, May 12, 2021\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETime:\u0026nbsp;\u003C\/strong\u003E12pm-2pm EST\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation (virtual):\u003C\/strong\u003E\u0026nbsp;\u003Ca href=\u0022https:\/\/bluejeans.com\/8164507038\/\u0022\u003Ehttps:\/\/bluejeans.com\/8164507038\/\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EScott Freitas\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMachine Learning Ph.D. Student\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Computational Science and Engineering\u003Cbr \/\u003E\r\nGeorgia Institute of Technology\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.scottfreitas.com\/\u0022\u003Ehttps:\/\/www.scottfreitas.com\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch5\u003E\u003Cstrong\u003ECommittee\u003C\/strong\u003E\u003C\/h5\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EDuen Horng (Polo) Chau [Advisor,\u0026nbsp;Associate Professor, CSE, Georgia Institute of Technology]\u003C\/li\u003E\r\n\t\u003Cli\u003ESrijan Kumar [Assistant Professor, CSE, Georgia Institute of Technology]\u003C\/li\u003E\r\n\t\u003Cli\u003EDiyi Yang [Assistant Professor, CSE, Georgia Institute of Technology]\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch5\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/h5\u003E\r\n\r\n\u003Cp\u003EAs society and technology becomes increasingly interconnected, so does the threat landscape. Once isolated threats now pose serious concerns to highly interdependent systems, highlighting the fundamental need for robust machine learning. This dissertation contributes novel tools, algorithms, databases and models\u0026mdash;through the lens of robust machine learning\u0026mdash;in a research effort to solve large-scale societal problems affecting millions of people in the areas of cybersecurity and healthcare.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E1. Tools:\u003C\/strong\u003E\u0026nbsp;We develop TIGER, the first comprehensive graph robustness toolbox; and our Robustness Survey identifies critical yet missing areas of graph robustness research.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003E2. Algorithms:\u003C\/strong\u003E\u0026nbsp;Our survey and toolbox reveal existing work has overlooked lateral attacks on computer authentication networks. We develop D2M, the first algorithmic framework to quantify and mitigate network vulnerability to lateral attacks by modeling lateral attack movement from a graph theoretic perspective.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003E3. Databases:\u003C\/strong\u003E\u0026nbsp;To prevent lateral attacks altogether, we develop MalNet-Graph, the world\u0026rsquo;s largest cybersecurity graph database\u0026mdash;containing over 1.2M graphs across 696 classes\u0026mdash;and show the first large-scale results demonstrating the effectiveness of malware detection through a graph medium. We plan to extend MalNet-Graph by constructing the largest binary-image cybersecurity database\u0026mdash;containing 1.2M images, 133x more images than the only other public database\u0026mdash;enabling new discoveries in malware detection and classification research restricted to a few industry labs (MalNet-Image).\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003E4. Models:\u003C\/strong\u003E\u0026nbsp;To protect systems from adversarial attacks, we develop UnMask, the first model that flag semantic incoherence in computer vision systems, which detects up to 96.75% of attacks, and defends the model by correctly classifying up to 93% of attacks. Inspired by UnMask\u0026#39;s ability to protect computer visions systems from adversarial attack, we develop REST, which creates noise robust models through a novel combination of adversarial training, spectral regularization and sparsity regularization. In the presence of noise, our method improves state-of-the-art sleep stage scoring by 71%--allowing us to diagnose sleep disorders earlier on and in the home environment\u0026mdash;while using 19x less parameters and 15x less MFLOPS.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"ML Ph.D. student Scott Freitas will present his Ph.D. thesis proposal."}],"uid":"34773","created_gmt":"2021-04-27 19:52:55","changed_gmt":"2021-04-27 19:52:55","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-05-12T13:00:00-04:00","event_time_end":"2021-05-12T15:00:00-04:00","event_time_end_last":"2021-05-12T15:00:00-04:00","gmt_time_start":"2021-05-12 17:00:00","gmt_time_end":"2021-05-12 19:00:00","gmt_time_end_last":"2021-05-12 19:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"606703","name":"Constellations Center"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"646208":{"#nid":"646208","#data":{"type":"event","title":"SCS Seminar Talk: Zhao Song","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EThe Theory of Provable and Efficient Deep Learning\u0026nbsp; \u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDeep learning has fundamentally revolutionized our society, including recommendation systems that suggest movies and items to purchase, virtual assistants, and\u0026nbsp; future autonomous vehicles. From a theoretical point of view, there are two main questions in deep learning: (1) understanding of why deep learning works, (2) how to speed the running time of deep learning algorithms. In this talk, I will provide progress for these two questions. First, I will show that stochastic gradient descent is able to memorize all the input data points under some mild assumptions. Second, I will present a new optimization algorithm for fast deep learning. The key observation is that stochastic gradient descent is an iterative algorithm, and gradients change slowly in each iteration. This observation allows us to update gradients in a lazy fashion, significantly improving per-iteration running time. Finally, I will briefly describe how to apply similar ideas to speed up convex optimization and quantum machine learning.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;Zhao Song is a postdoctoral researcher at Princeton University and Institute for Advanced Study. He obtained his Ph.D. from the Computer Science Department at University of Texas at Austin under the supervision of Professor Eric Price in 2019. His Ph.D. thesis won Bert Kay Dissertation Award (the best dissertation award) at the Computer Science Department in the University of Texas at Austin. His recent work, InstaHide, won second place for the Bell Lab Prize, which is awarded to the top-3 most innovative technology breakthroughs annually.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJOIN TALK HERE: \u003Ca href=\u0022https:\/\/bluejeans.com\/946032411\u0022\u003Ehttps:\/\/bluejeans.com\/946032411\u003C\/a\u003E\u003Ca href=\u0022https:\/\/bluejeans.com\/946032411\u0022\u003E\u0026nbsp;\u0026nbsp;\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The Theory of Provable and Efficient Deep Learning  "}],"uid":"34541","created_gmt":"2021-04-07 15:35:34","changed_gmt":"2021-04-07 15:36:57","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-04-13T12:00:00-04:00","event_time_end":"2021-04-13T13:00:00-04:00","event_time_end_last":"2021-04-13T13:00:00-04:00","gmt_time_start":"2021-04-13 16:00:00","gmt_time_end":"2021-04-13 17:00:00","gmt_time_end_last":"2021-04-13 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"646209":{"id":"646209","type":"image","title":"Zhao Song","body":null,"created":"1617809761","gmt_created":"2021-04-07 15:36:01","changed":"1617809761","gmt_changed":"2021-04-07 15:36:01","alt":"Zhao Song","file":{"fid":"245310","name":"Zhao_Song_crop.jpg","image_path":"\/sites\/default\/files\/images\/Zhao_Song_crop.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Zhao_Song_crop.jpg","mime":"image\/jpeg","size":67218,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Zhao_Song_crop.jpg?itok=jsIq6KAL"}}},"media_ids":["646209"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"645050":{"#nid":"645050","#data":{"type":"event","title":"ML@GT Virtual Seminar: Shivani Agarwal, University of Pennsylvania","body":[{"value":"\u003Cp\u003EML@GT invites you to a virtual seminar featuring Shivani Agarwal from the University of Pennsylvania. This seminar is open to Georgia Tech faculty, staff, and students, and any interested members of the public.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/khjkbseb\u0022\u003ERegistration is required\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Ch2\u003EMulticlass and Multi-Label Learning with General Losses: What is the Right Output Coding and Decoding?\u003C\/h2\u003E\r\n\r\n\u003Ch4\u003E\u0026nbsp;\u003C\/h4\u003E\r\n\r\n\u003Ch4\u003EAbstract\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EMany practical applications of machine learning involve multiclass learning problems with a large number of classes -- indeed, multi-label learning problems can be viewed as a special case. Multiclass learning with the standard 0-1 loss is fairly well understood; however, in practice, applications with large numbers of classes often require performance to be measured via a different, problem-specific loss. What is the right way to design principled and efficient learning algorithms for multiclass (and multi-label) problems with general losses?\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFrom a theoretical standpoint, an elegant approach for designing statistically consistent learning algorithms is via the design of convex calibrated surrogate losses. From a practical standpoint, an approach that is often favored is that of output coding, which reduces multiclass learning to a set of simpler binary classification problems. In this talk, I will discuss recent progress in bringing together these seemingly disparate approaches under a unifying lens to develop statistically consistent and computationally efficient learning algorithms for a wide range of problems, in some cases recovering existing state-of-the-art algorithms, and in other cases providing new ones. Our algorithms require learning at most r real-valued scoring functions, where r is the rank of the target loss matrix, and come with corresponding principled decoding schemes. I will also discuss connections with the field of property elicitation, and new tools for deriving quantitative regret transfer bounds via strongly proper losses.\u003C\/p\u003E\r\n\r\n\u003Ch4\u003EAbout Shivani\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EShivani Agarwal is Rachleff Family Associate Professor of Computer and Information Science at the University of Pennsylvania, where she also directs the NSF-sponsored Penn Institute for Foundations of Data Science (PIFODS) and co-directs the Penn Research in Machine Learning (PRiML) center. She is currently an Action Editor for the Journal of Machine Learning Research and an Associate Editor for the Harvard Data Science Review. She has previously been a Radcliffe Fellow at Harvard University, an Assistant Professor and Ramanujan Fellow at the Indian Institute of Science, and a postdoctoral lecturer at MIT. She received her PhD in computer science at the University of Illinois, Urbana-Champaign, and a bachelors degree in computer science as a Nehru Scholar at Trinity College, University of Cambridge. Her research interests include foundational questions in machine learning, applications of machine learning in the life sciences, and connections between machine learning and other disciplines such as economics, operations research, and psychology. More broadly, she is excited by research at the intersection of computer science, mathematics, and statistics, and its ability to turn data into actionable insights in both the natural and social sciences.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The Machine Learning Center will host a virtual seminar on April 21, 2021."}],"uid":"34773","created_gmt":"2021-03-05 18:47:35","changed_gmt":"2021-03-31 21:03:19","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-04-21T13:15:00-04:00","event_time_end":"2021-04-21T14:15:00-04:00","event_time_end_last":"2021-04-21T14:15:00-04:00","gmt_time_start":"2021-04-21 17:15:00","gmt_time_end":"2021-04-21 18:15:00","gmt_time_end_last":"2021-04-21 18:15:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"645892":{"#nid":"645892","#data":{"type":"event","title":"30th Annual College of Computing Awards (virtual) Celebration","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003E30th Annual College of Computing Awards Celebration\u0026nbsp;\u003C\/strong\u003E\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nDate: Wednesday, March 31, April 7, April 14 and April 21, 2021\u003Cbr \/\u003E\r\nPlace: \u003Ca href=\u0022https:\/\/sites.gatech.edu\/gtcomputingawards2021\/\u0022\u003EOnline\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nDean Isbell and the College of Computing Awards Committee\u0026nbsp;recognize the achievements of the faculty, students and staff!\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"30th Annual College of Computing Awards (virtual) Celebration"}],"uid":"28150","created_gmt":"2021-03-30 16:39:36","changed_gmt":"2021-03-30 21:23:30","author":"Birney Robert","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-03-31T13:00:00-04:00","event_time_end":"2021-03-31T13:00:00-04:00","event_time_end_last":"2021-03-31T13:00:00-04:00","gmt_time_start":"2021-03-31 17:00:00","gmt_time_end":"2021-03-31 17:00:00","gmt_time_end_last":"2021-03-31 17:00:00","rrule":"RRULE:FREQ=WEEKLY;INTERVAL=1;BYDAY=WE;UNTIL=20210422T035959Z;WKST=SU","timezone":"America\/New_York"},"extras":[],"hg_media":{"645891":{"id":"645891","type":"image","title":"2021 Awards Banner","body":null,"created":"1617121722","gmt_created":"2021-03-30 16:28:42","changed":"1617122449","gmt_changed":"2021-03-30 16:40:49","alt":"","file":{"fid":"245218","name":"2021 CoC Awards mailchimp hero.jpg","image_path":"\/sites\/default\/files\/images\/2021%20CoC%20Awards%20mailchimp%20hero.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/2021%20CoC%20Awards%20mailchimp%20hero.jpg","mime":"image\/jpeg","size":367090,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/2021%20CoC%20Awards%20mailchimp%20hero.jpg?itok=q1hwNwvu"}}},"media_ids":["645891"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"168280","name":"College of Computing Awards Ceremony"},{"id":"109","name":"Georgia Tech"},{"id":"654","name":"College of Computing"},{"id":"187424","name":"Dean Charles Isbell"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAlicia Richhart\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ealicia@cc.gatech.edu\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eor\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBirney Robert\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ebrobert@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"642967":{"#nid":"642967","#data":{"type":"event","title":"ML@GT Virtual Seminar: Qi Wei, J.P. Morgan Chase","body":[{"value":"\u003Cp\u003EML@GT will host a\u0026nbsp;virtual seminar featuring Qi Wei, Vice President and ML\/AI Lead at JP Morgan Chase.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERegistration is required. \u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/vbspsshh\u0022\u003ERegister here.\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch3\u003EGenerative models based on point processes for financial time series simulation\u003C\/h3\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch4\u003EAbstract:\u0026nbsp;\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EIn this seminar, I will talk about generative models based on point processes for financial time series simulation. Specifically, we focus on a recently developed state-dependent Hawkes (sdHawkes) process to model the limit order book dynamics [Morariu-Patrichi, 2018]. The sdHawkes model consists of an oracle Hawkes process and a state process following Markov transition. The Hawkes and state processes are fully coupled, which enables the point process captures the self-and cross-excitation as well as the interaction between events and states. We will go through the model formulation in sdHawkes, the simulation of sdHawkes, its maximum likelihood estimation, and more importantly, its application to high-frequency data modeling that captures the interactions between the order flow and the state of the current market.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nMorariu-Patrichi, Maxime, and Mikko S. Pakkanen. \u0026quot;State-dependent Hawkes processes and their application to limit order book modelling.\u0026quot; arXiv preprint arXiv:1809.08060 (2018).\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch4\u003EAbout Qi:\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EQi\u0026nbsp;Wei\u0026nbsp;received\u0026nbsp;his\u0026nbsp;Ph.D.\u0026nbsp;degree\u0026nbsp;in\u0026nbsp;machine\u0026nbsp;learning\u0026nbsp;and\u0026nbsp;image\u0026nbsp;processing\u0026nbsp;from the\u0026nbsp;National\u0026nbsp;Polytechnic\u0026nbsp;Institute\u0026nbsp;of\u0026nbsp;Toulouse\u0026nbsp;(INPENSEEIHT),\u0026nbsp;University\u0026nbsp;of\u0026nbsp;Toulouse,\u0026nbsp;France\u0026nbsp;in\u0026nbsp;September\u0026nbsp;2015,\u0026nbsp;and\u0026nbsp;Bachelor\u0026nbsp;degree\u0026nbsp;in\u0026nbsp;Electrical\u0026nbsp;Engineering\u0026nbsp;from\u0026nbsp;Beihang\u0026nbsp;University\u0026nbsp;(BUAA),\u0026nbsp;Beijing,\u0026nbsp;China\u0026nbsp;in\u0026nbsp;July\u0026nbsp;2010. Wei\u0026#39;s\u0026nbsp;doctoral thesis\u0026nbsp;\u003Cem\u003EBayesian Fusion of Multi-band Images: A Powerful Tool for Super-resolution\u0026nbsp;\u003C\/em\u003Ewas rated as one of the best theses (awarded Prix Leopold Escande) at the\u0026nbsp;University\u0026nbsp;of\u0026nbsp;Toulouse,\u0026nbsp;2015.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWei\u0026nbsp;has worked on multiband\u0026nbsp;image\u0026nbsp;processing\u0026nbsp;as a Research Associate with Signal\u0026nbsp;Processing\u0026nbsp;Laboratory,\u0026nbsp;University\u0026nbsp;of\u0026nbsp;Cambridge, UK, and\u0026nbsp;as a Research Associate at Duke\u0026nbsp;University, US. He has also\u0026nbsp;worked at Siemens Corporate Technology as a Research Scientist.\u0026nbsp;Since\u0026nbsp;2018, Wei served as a vice president and machine learning scientist at\u0026nbsp;JPMorgan.\u0026nbsp;His\u0026nbsp;research has been focused on\u0026nbsp;machine\/deep\u0026nbsp;learning, time series analysis, computer vision\/image\u0026nbsp;processing, Bayesian statistical inference, etc.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"A virtual seminar featuring Qi Wei, Vice President and ML\/AI Lead at JP Morgan Chase"}],"uid":"34773","created_gmt":"2021-01-15 14:26:43","changed_gmt":"2021-03-30 13:06:06","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-04-07T13:15:00-04:00","event_time_end":"2021-04-07T14:15:00-04:00","event_time_end_last":"2021-04-07T14:15:00-04:00","gmt_time_start":"2021-04-07 17:15:00","gmt_time_end":"2021-04-07 18:15:00","gmt_time_end_last":"2021-04-07 18:15:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"645800":{"#nid":"645800","#data":{"type":"event","title":"SCS Seminar Talk: Marios Kogias","body":[{"value":"\u003Cp\u003ETITLE: \u0026nbsp;Building Latency-Critical Datacenter Systems\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003EOnline services play a major role in our everyday life for communication, entertainment, socializing, e-commerce, etc. \u0026nbsp;These services run inside the datacenter under strict tail-latency service level objectives in order to remain interactive.\u0026nbsp;The emergence of new hardware for IO has enabled microsecond-scale datacenter communications that challenge the efficiency of existing operating system and network mechanisms.\u0026nbsp;Also, new in-network programmable devices start being deployed in datacenters and introduce a new computing paradigm that shifts functionality traditionally performed at the end-points to the network.\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003EIn this talk I will revisit the operating systems, networking, and distributed systems infrastructure specifically targeting latency-critical datacenter systems, while drawing intuition from basic queueing theory results.\u0026nbsp;In the first part of the talk, I will focus on ZygOS[SOSP 2017], a system optimized for \u0026mu;s-scale, in-memory computing on multicore servers.\u0026nbsp;ZygOS implements a work-conserving scheduler within a specialized operating system designed for high request rates and a large number of network connections.\u0026nbsp;ZygOS revealed the challenges associated with serving remote procedure calls (RPCs) on top of a byte-stream oriented protocol, such as TCP.\u0026nbsp;In the second part of the talk, I will present R2P2[ATC 2019].\u0026nbsp;R2P2 is a transport protocol specifically designed for datacenter RPCs, that exposes the RPC abstraction to the endpoints and the network, making RPCs first-class datacenter citizens.\u0026nbsp;R2P2 enables pushing functionality, such as scheduling, fault-tolerance, and tail-tolerance, inside the transport protocol.\u0026nbsp;I will show how using R2P2 allowed us to offload RPC scheduling to programmable switches that can schedule requests directly on individual CPU cores.\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMarios Kogias is a researcher at MSR Cambridge. He graduated from EPFL in August 2020. His main research focus is at the intersection of operating systems and networking in the datacenter. He\u0026rsquo;s working on building and understanding systems with strict tail-latency SLOs leveraging new emerging hardware. He was an IBM PhD Fellow and won the best student paper award at Eurosys2020. Before joining EPFL he got his undergrad degree from the National Technical University of Athens. He has interned at Cern, Google, and Microsoft Research\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJOIN THE TALK: \u003Ca href=\u0022https:\/\/bluejeans.com\/946032411\u0022\u003Ehttps:\/\/bluejeans.com\/946032411\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":" Building Latency-Critical Datacenter Systems"}],"uid":"34541","created_gmt":"2021-03-26 21:21:39","changed_gmt":"2021-03-26 21:24:52","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-04-06T12:00:00-04:00","event_time_end":"2021-04-06T13:00:00-04:00","event_time_end_last":"2021-04-06T13:00:00-04:00","gmt_time_start":"2021-04-06 16:00:00","gmt_time_end":"2021-04-06 17:00:00","gmt_time_end_last":"2021-04-06 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"645801":{"id":"645801","type":"image","title":"Marios Kogias","body":null,"created":"1616793850","gmt_created":"2021-03-26 21:24:10","changed":"1616793850","gmt_changed":"2021-03-26 21:24:10","alt":"Marios","file":{"fid":"245176","name":"marioskogias-mugshot.jpg","image_path":"\/sites\/default\/files\/images\/marioskogias-mugshot.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/marioskogias-mugshot.jpg","mime":"image\/jpeg","size":2554520,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/marioskogias-mugshot.jpg?itok=BiYhxDJW"}}},"media_ids":["645801"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"645798":{"#nid":"645798","#data":{"type":"event","title":"SCS Seminar Talk: Dylan Foster","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EBridging Learning and Decision Making\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMachine learning is becoming widely used in decision making, in domains ranging from personalized medicine and mobile health to online education and recommendation systems. While (supervised) machine learning traditionally excels at prediction problems, decision making requires answering questions that are counterfactual in nature, and ignoring this mismatch leads to unreliable decisions. As a consequence, our understanding of the algorithmic foundations for data-driven decision making is limited, and efficient algorithms are typically developed on an ad hoc basis. Can we bridge this gap and make decision making as easy as machine learning? Focusing on the contextual bandit, a core problem in data-driven decision making, we bridge the gap by providing the first optimal and efficient reduction to supervised machine learning. The algorithm allows users to seamlessly apply off-the-shelf supervised learning models and methods to make decisions on the fly, and has been implemented in widely-used, industry-standard tools for decision making. Our results advance a broader program to develop a universal algorithm design paradigm for data-driven decision making. I will close the talk by discussing challenges and opportunities in building such a framework, including efforts to extend our developments to difficult reinforcement learning problems in large state spaces.\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDylan Foster is a postdoctoral fellow at the MIT Institute for Foundations of Data Science. He holds a Ph.D. in computer science from Cornell University, where he was advised by Karthik Sridharan. He has received several awards, including the best paper award at COLT (2019), best student paper award at COLT (2018, 2019), Facebook Ph.D. fellowship, and NDSEG PhD fellowship. His research focuses on problems at the intersection of learning and decision making.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJOIN TALK HERE: \u003Ca href=\u0022https:\/\/bluejeans.com\/946032411\u0022\u003Ehttps:\/\/bluejeans.com\/946032411\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Bridging Learning and Decision Making"}],"uid":"34541","created_gmt":"2021-03-26 21:05:15","changed_gmt":"2021-03-26 21:06:43","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-03-30T12:00:00-04:00","event_time_end":"2021-03-30T13:00:00-04:00","event_time_end_last":"2021-03-30T13:00:00-04:00","gmt_time_start":"2021-03-30 16:00:00","gmt_time_end":"2021-03-30 17:00:00","gmt_time_end_last":"2021-03-30 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"645799":{"id":"645799","type":"image","title":"Dylan Foster","body":null,"created":"1616792747","gmt_created":"2021-03-26 21:05:47","changed":"1616792747","gmt_changed":"2021-03-26 21:05:47","alt":"Dylan Foster","file":{"fid":"245175","name":"d2.jpg","image_path":"\/sites\/default\/files\/images\/d2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/d2.jpg","mime":"image\/jpeg","size":236154,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/d2.jpg?itok=EllcEMdX"}}},"media_ids":["645799"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"645514":{"#nid":"645514","#data":{"type":"event","title":"SCS \u0026 ECE Recruiting Seminar: Akshitha Sriraman","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EEnabling Hyperscale Web Services\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECurrent hardware and software systems were conceived at a time when we had scarce compute and memory resources, limited quantity of data and users, and easy hardware performance scaling due to Moore\u0026rsquo;s Law. These assumptions are not true today. Today, emerging web services require data centers that scale to hundreds of thousands of servers, i.e., hyperscale, to efficiently process requests from billions of users. In this new era of hyperscale computing, we can no longer afford to build each layer of the systems stack separately. Instead, we must rethink the synergy between the software and hardware worlds from the ground up.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;In this talk, I will focus on re-thinking (1) software threading and concurrency paradigms and (2) data center hardware architectures. First, I will describe \u0026mu;Tune, my software threading framework that is aware of the overheads induced by the underlying hardware\u0026rsquo;s constraints. Then, I will discuss SoftSKU and Accelerometer\u0026mdash;my proposals to answer the question of: How should we build data center hardware for emerging software paradigms in the post-Moore era? Finally, I will conclude by describing my ongoing and future research towards re-designing the systems stack to enable the hyperscale web services of tomorrow.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAkshitha Sriraman is a Ph.D. candidate in Computer Science and Engineering at the University of Michigan. Her research bridges computer architecture and software systems, demonstrating the importance of that bridge in realizing efficient hyperscale web services via solutions that span the systems stack. Her systems solutions to improve hardware efficiency have been deployed in real hyperscale data centers and currently serve billions of users, saving millions of dollars and meaningfully reducing the global carbon footprint. Additionally, her hardware design proposals have influenced Intel\u0026rsquo;s Alder Lake+ CPU architectures.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESriraman has been recognized with a Facebook Fellowship, a Rackham Merit Ph.D. Fellowship, and was selected for the Rising Stars in EECS Workshop. Her work has been recognized with an IEEE Micro Top Picks distinction and has appeared in top architecture and systems venues like OSDI, ISCA, ASPLOS, MICRO, and HPCA.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJOIN THIS TALK HERE: \u003Ca href=\u0022https:\/\/bluejeans.com\/946032411\u0022\u003Ehttps:\/\/bluejeans.com\/946032411\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Enabling Hyperscale Web Services"}],"uid":"34541","created_gmt":"2021-03-18 18:14:01","changed_gmt":"2021-03-18 18:15:39","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-03-23T12:00:00-04:00","event_time_end":"2021-03-23T13:00:00-04:00","event_time_end_last":"2021-03-23T13:00:00-04:00","gmt_time_start":"2021-03-23 16:00:00","gmt_time_end":"2021-03-23 17:00:00","gmt_time_end_last":"2021-03-23 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"645515":{"id":"645515","type":"image","title":"Akshitha Sriraman","body":null,"created":"1616091311","gmt_created":"2021-03-18 18:15:11","changed":"1616091311","gmt_changed":"2021-03-18 18:15:11","alt":"Akshitha","file":{"fid":"245062","name":"Akshitha.jpg","image_path":"\/sites\/default\/files\/images\/Akshitha.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Akshitha.jpg","mime":"image\/jpeg","size":28245,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Akshitha.jpg?itok=YbRACGv-"}}},"media_ids":["645515"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"645191":{"#nid":"645191","#data":{"type":"event","title":"SCS Seminar Talk: Aditi Raghunathan","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003ERethinking the Role of Data in Robust Machine Learning\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDespite notable successes on several carefully controlled benchmarks, current machine learning (ML) systems are remarkably brittle, raising serious concerns about their deployment in safety-critical applications like self-driving cars and predictive healthcare. In this talk, I discuss fundamental obstacles to building robust ML systems and develop principled approaches that form the foundations of robust ML. In particular, I will focus on the role of data and demonstrate the need to question common assumptions when improving robustness to (i) adversarial examples and (ii) spurious correlations. On the one hand, I will describe how and why naively using more data can surprisingly hurt performance in these settings. On the other hand, I will show that unlabeled data, when harnessed in the right fashion, is extremely beneficial and enables state-of-the-art robustness. In closing, I will discuss how to build on the foundations of robust ML and achieve wide-ranging robustness in various domains including natural language processing and vision.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAditi Raghunathan is a fifth-year Ph.D. student at Stanford University advised by Percy Liang. She is interested in building robust machine learning systems with guarantees for trustworthy real-world deployment. Her research in robustness has been recognized by a Google Ph.D. Fellowship in Machine Learning and the Open Philanthropy AI Fellowship. Among other honors, she is also the recipient of the Anita Borg Memorial Scholarship and the Stanford School of Engineering Fellowship.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJOIN THE TALK HERE: \u003Ca href=\u0022https:\/\/bluejeans.com\/946032411\u0022 id=\u0022docs-internal-guid-00ee120b-7fff-ef0f-8647-792bf3ec7d70\u0022 style=\u0022text-decoration:none;\u0022\u003Ehttps:\/\/bluejeans.com\/946032411\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Rethinking the Role of Data in Robust Machine Learning"}],"uid":"34541","created_gmt":"2021-03-10 16:19:25","changed_gmt":"2021-03-10 16:20:35","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-03-16T12:00:00-04:00","event_time_end":"2021-03-16T13:00:00-04:00","event_time_end_last":"2021-03-16T13:00:00-04:00","gmt_time_start":"2021-03-16 16:00:00","gmt_time_end":"2021-03-16 17:00:00","gmt_time_end_last":"2021-03-16 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"645192":{"id":"645192","type":"image","title":"Aditi Raghunathan","body":null,"created":"1615393214","gmt_created":"2021-03-10 16:20:14","changed":"1615393214","gmt_changed":"2021-03-10 16:20:14","alt":"Aditi Raghunathan","file":{"fid":"244956","name":"photo_aditi copy.jpg","image_path":"\/sites\/default\/files\/images\/photo_aditi%20copy.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/photo_aditi%20copy.jpg","mime":"image\/jpeg","size":64825,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/photo_aditi%20copy.jpg?itok=lMZYBQh0"}}},"media_ids":["645192"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"644065":{"#nid":"644065","#data":{"type":"event","title":"SCS Seminar Talk: Ankush Das","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EProgramming Language Principles for Distributed Systems\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWith the proliferation of distributed systems, the design of safe, secure, and efficient software has become an ever more complex task. The heterogeneous nature of these distributed systems have further introduced domain-specific programming requirements such as programming in an adversarial setting and inferring execution cost. Recognizing these requirements, my research has focused on advancing programming languages to support developers with program verification techniques, complexity analysis tools, and domain-specific languages.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this talk, I focus on the domain of smart contracts, i.e., programs that enforce digital transactions, often legal or financial, between multiple parties. Programming smart contracts comes with its unique challenges, which include enforcing protocols of interaction, analyzing execution cost, and tracking linear assets. To address these challenges, the talk introduces Nomos, a programming language for smart contracts. To express and enforce protocols, Nomos is based on session types rooted in linear logic. To predict execution cost, Nomos uses resource-aware session types and automatic amortized resource analysis, a type-based technique for inferring cost bounds. To track assets, Nomos employs a linear type system that prevents assets from being duplicated or discarded.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe talk concludes with my future plans on exploring how programming languages can aid in the synthesis of smart contracts, verification of cryptographic protocols, and analysis of probabilistic systems with applications in artificial intelligence.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAnkush Das is a final-year Ph.D. student at Carnegie Mellon University. He is advised by Professor Jan Hoffmann and closely works with Professor Frank Pfenning. He is broadly interested in programming languages with a specific focus on program verification, complexity analysis, and domain-specific languages. He is the lead designer and developer of Nomos, a programming language for smart contracts rooted in resource-aware session types. He has also designed the Rast language based on refinement session types that won the best system description paper award at FSCD 2020. Before joining CMU, he worked as a Research Fellow at Microsoft Research, India where he designed static analysis and verification tools for Windows driver modules. He completed his undergraduate at IIT Bombay, India in 2014 where he worked on deciding termination of linear loop programs.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJOIN THE TALK HERE: \u003Ca href=\u0022https:\/\/bluejeans.com\/946032411\u0022\u003Ehttps:\/\/bluejeans.com\/946032411\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Programming Language Principles for Distributed Systems"}],"uid":"34541","created_gmt":"2021-02-10 17:21:00","changed_gmt":"2021-03-10 15:52:09","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-03-11T11:00:00-05:00","event_time_end":"2021-03-11T12:00:00-05:00","event_time_end_last":"2021-03-11T12:00:00-05:00","gmt_time_start":"2021-03-11 16:00:00","gmt_time_end":"2021-03-11 17:00:00","gmt_time_end_last":"2021-03-11 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"644062":{"id":"644062","type":"image","title":"Ankush Das","body":null,"created":"1612977196","gmt_created":"2021-02-10 17:13:16","changed":"1612977196","gmt_changed":"2021-02-10 17:13:16","alt":"Ankush Das","file":{"fid":"244529","name":"Photo - A. Das.jpg","image_path":"\/sites\/default\/files\/images\/Photo%20-%20A.%20Das.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Photo%20-%20A.%20Das.jpg","mime":"image\/jpeg","size":4879781,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Photo%20-%20A.%20Das.jpg?itok=L3-2rEy2"}}},"media_ids":["644062"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"644068":{"#nid":"644068","#data":{"type":"event","title":"SCS Seminar Talk: Caroline Lemieux","body":[{"value":"\u003Cp\u003ETITLE: \u0026nbsp;\u003Cem\u003EExpanding the Reach of Fuzzing\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESoftware bugs are pervasive in modern software. As software is integrated into increasingly many aspects of our lives, these bugs have increasingly severe consequences, both from a security (e.g. Cloudbleed, Heartbleed, Shellshock) and cost standpoint. Fuzzing refers to a set of techniques that automatically find bug-triggering inputs by sending many random-looking inputs to the program under test. In this talk, I will discuss how, by identifying core under-generalized components of modern fuzzing algorithms, and building algorithms that generalize or tune these components, I have expanded the application domains of fuzzing. First, by building a general feedback-directed fuzzing algorithm, I enabled fuzzing to consistently find performance and resource consumption errors. Second, by developing techniques to maintain structure during mutation, I brought fuzzing exploration to \u0026ldquo;deeper\u0026rdquo; program states. Third, by decoupling the user-facing abstraction of random input generators from their sampling distributions, I built faster validity fuzzing and even tackled program synthesis. Finally, I will discuss the key research problems that must be tackled to make fuzzing readily-available and useful to all developers.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECaroline Lemieux is a final-year Ph.D. candidate at UC Berkeley, advised by Koushik Sen. Her research aims to help developers improve the correctness, security, and performance of large, existing software systems, ranging from complex open-source projects to industrial-scale software. Her current projects tackle these goals with a focus on fuzz testing and program synthesis. Her work on fuzz testing has been awarded an ACM SIGSOFT Distinguished Paper Award, ACM SIGSOFT Distinguished Artifact Award, ACM SIGSOFT Tool Demonstration Award, and Best Paper Award (Industry Track). Before Berkeley, she received her B.Sc. in combined honours computer science and mathematics at the University of British Columbia, where she won the Governor General\u0026rsquo;s Silver Medal in Science (highest standing in the Faculty of Science). She is the recipient of a Berkeley Fellowship for Graduate Study and a Google Ph.D. Fellowship in Programming Technologies and Software Engineering.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJOIN THE TALK HERE: \u003Ca href=\u0022https:\/\/bluejeans.com\/946032411\u0022\u003Ehttps:\/\/bluejeans.com\/946032411\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":" Expanding the Reach of Fuzzing"}],"uid":"34541","created_gmt":"2021-02-10 17:25:24","changed_gmt":"2021-03-10 15:51:33","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-03-09T11:00:00-05:00","event_time_end":"2021-03-09T12:00:00-05:00","event_time_end_last":"2021-03-09T12:00:00-05:00","gmt_time_start":"2021-03-09 16:00:00","gmt_time_end":"2021-03-09 17:00:00","gmt_time_end_last":"2021-03-09 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"644061":{"id":"644061","type":"image","title":"Caroline Lemieux","body":null,"created":"1612977158","gmt_created":"2021-02-10 17:12:38","changed":"1612977158","gmt_changed":"2021-02-10 17:12:38","alt":"Caroline Lemieux","file":{"fid":"244528","name":"caroline_lemieux_small.jpg","image_path":"\/sites\/default\/files\/images\/caroline_lemieux_small.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/caroline_lemieux_small.jpg","mime":"image\/jpeg","size":252840,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/caroline_lemieux_small.jpg?itok=y3dHbpz1"}}},"media_ids":["644061"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"643857":{"#nid":"643857","#data":{"type":"event","title":"SCS Seminar Talk: Manuel Rigger","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003ERobustifying Data-Centric Systems\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EData is eating the world. Systems for storing and processing data, such as database\u003Cbr \/\u003E\r\nmanagement systems (DBMSs), are thus pivotal for our computing infrastructure. It is critical\u003Cbr \/\u003E\r\nthat they function correctly \u0026mdash; incorrectly computed results (e.g., by omitting a row) can cause\u003Cbr \/\u003E\r\nserious loss or damage. Despite their importance, finding such logic bugs in production DBMSs is a longstanding challenge. This talk presents novel, general approaches to effectively detecting logic bugs in DBMSs by tackling the test oracle problem, i.e., deciding whether the returned result for a query is correct. These approaches were realized as the SQLancer open-source tool, which was evaluated on widely-used, production-quality DBMSs, such as SQLite, MySQL, and PostgreSQL. To date, SQLancer has found over 450 unique previously unknown bugs in these systems, most of which have been fixed by the developers. This body of work has provided solid methodological and technical bases for effectively testing DBMSs and has already been widely adopted by industry. Many reliability challenges remain, not only for DBMSs, but also for other data-centric systems. The heterogeneous landscape in this space provides an exciting, fertile ground for new, practically relevant research for improving the reliability and performance of our society\u0026rsquo;s data processing infrastructure\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EManuel Rigger is a postdoctoral researcher in the Advanced Software Technologies (AST)\u003Cbr \/\u003E\r\nLab at ETH Zurich, mentored by Zhendong Su. His research goal is to make software more\u003Cbr \/\u003E\r\nreliable by developing practical and principled approaches to tackle important challenges related to correctness, performance, and security. He draws on and contributes to the software engineering, systems, programming languages, and compilers fields. His recent work has focused on automatically testing database management systems, and led to over 450 unique bugs in widely-used systems such as SQLite, MySQL, PostgreSQL, TiDB, and CockroachDB being discovered, most of which have been fixed. He completed his Ph.D. at Johannes Kepler University Linz, mentored by Hanspeter M\u0026ouml;ssenb\u0026ouml;ck, and worked on the safe and efficient execution of unsafe languages (project Sulong). Part of this work was integrated into Oracle\u0026rsquo;s GraalVM to support its execution of LLVM IR.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJOIN THE TALK HERE: \u003Ca href=\u0022https:\/\/bluejeans.com\/946032411\u0022\u003Ehttps:\/\/bluejeans.com\/946032411\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Robustifying Data-Centric Systems"}],"uid":"34541","created_gmt":"2021-02-03 22:23:09","changed_gmt":"2021-03-10 15:50:26","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-03-04T11:00:00-05:00","event_time_end":"2021-03-04T12:00:00-05:00","event_time_end_last":"2021-03-04T12:00:00-05:00","gmt_time_start":"2021-03-04 16:00:00","gmt_time_end":"2021-03-04 17:00:00","gmt_time_end_last":"2021-03-04 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"643858":{"id":"643858","type":"image","title":"Manuel Rigger","body":null,"created":"1612391233","gmt_created":"2021-02-03 22:27:13","changed":"1612391233","gmt_changed":"2021-02-03 22:27:13","alt":"Manuel Rigger","file":{"fid":"244463","name":"manuel.jpg","image_path":"\/sites\/default\/files\/images\/manuel.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/manuel.jpg","mime":"image\/jpeg","size":756586,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/manuel.jpg?itok=cw-f_9jw"}}},"media_ids":["643858"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"644505":{"#nid":"644505","#data":{"type":"event","title":"SCS Seminar Talk: Praveen Kumar","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003ETowards Predictable Networks\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFueled by evolving applications, requirements from systems and networks are changing in fundamental ways: networks today must provide increasingly strict performance guarantees and not just high performance. However, the design principles of the early Internet continue to be the basis of modern networks to provide best-effort performance. This leads to a mismatch between what applications need and what networks provide. To bridge this gap, we need predictability to be built into the design of networks.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this talk, I will focus on the unique challenges and unprecedented opportunities for building predictable networks. I will first discuss this in the context of shared public clouds by presenting a new abstraction and system, PicNIC, for predictable network performance while navigating fundamental trade-offs. Then, I will expand the discussion with wide-area networks with a system to achieve efficiency and predictability. Finally, I will highlight research directions towards leveraging hardware support to build predictable networks in a scalable, robust, and efficient manner.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPraveen Kumar is a Ph.D. candidate in computer science at Cornell University. His research focuses on building predictable networks and takes a multi-disciplinary approach spanning architecture, PL, systems, and theory to build holistic networking solutions \u0026mdash; from low-level hardware to high-level abstractions and algorithms. Kumar\u0026rsquo;s systems have been deployed at scale and also influenced the design of several other systems in production. His work has been recognized with a SIGCOMM best student paper award.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJOIN THE TALK HERE: \u003Ca href=\u0022https:\/\/bluejeans.com\/946032411\u0022\u003Ehttps:\/\/bluejeans.com\/946032411\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Towards Predictable Networks"}],"uid":"34541","created_gmt":"2021-02-19 18:59:51","changed_gmt":"2021-03-10 15:49:39","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-03-02T11:00:00-05:00","event_time_end":"2021-03-02T12:00:00-05:00","event_time_end_last":"2021-03-02T12:00:00-05:00","gmt_time_start":"2021-03-02 16:00:00","gmt_time_end":"2021-03-02 17:00:00","gmt_time_end_last":"2021-03-02 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"644506":{"id":"644506","type":"image","title":"Praveen Kumar","body":null,"created":"1613761531","gmt_created":"2021-02-19 19:05:31","changed":"1613761531","gmt_changed":"2021-02-19 19:05:31","alt":"Praveen Kumar","file":{"fid":"244701","name":"Photo[1].png","image_path":"\/sites\/default\/files\/images\/Photo%5B1%5D.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Photo%5B1%5D.png","mime":"image\/png","size":936846,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Photo%5B1%5D.png?itok=3cXKAZH4"}}},"media_ids":["644506"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"642100":{"#nid":"642100","#data":{"type":"event","title":"ML@GT Virtual Seminar: Ellie Pavlick, Brown University","body":[{"value":"\u003Cp\u003EML@GT is hosting a virtual seminar featuring Ellie Pavlick from Brown University.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/esbdzzaf\u0022\u003E\u003Cstrong\u003ERegistration is required.\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch3\u003EYou\u0026nbsp;can\u0026nbsp;lead\u0026nbsp;a\u0026nbsp;horse\u0026nbsp;to water...: Representing vs. Using Features in Neural\u0026nbsp;NLP\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/h3\u003E\r\n\r\n\u003Ch4\u003EAbstract\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EA\u0026nbsp;wave\u0026nbsp;of\u0026nbsp;recent work has sought to understand how pretrained\u0026nbsp;language\u0026nbsp;models work. Such analyses have resulted in two seemingly contradictory sets\u0026nbsp;of\u0026nbsp;results. On one hand, work based on \u0026quot;probing classifiers\u0026quot; generally suggests that SOTA\u0026nbsp;language\u0026nbsp;models contain rich information about\u0026nbsp;linguistic\u0026nbsp;structure (e.g., parts\u0026nbsp;of\u0026nbsp;speech, syntax, semantic roles). On the other hand, work which measures performance on\u0026nbsp;linguistic\u0026nbsp;\u0026quot;challenge sets\u0026quot; shows that models consistently fail to use this information when making predictions. In this talk, I will present\u0026nbsp;a\u0026nbsp;series\u0026nbsp;of\u0026nbsp;results that attempt to bridge this gap. Our recent experiments suggest that the disconnect is not due to catastrophic forgetting nor is it (entirely) explained by insufficient training data. Rather, it is best explained in terms\u0026nbsp;of\u0026nbsp;how \u0026quot;accessible\u0026quot; features are to the model following pretraining, where \u0026quot;accessibility\u0026quot;\u0026nbsp;can\u0026nbsp;be quantified using an information-theoretic interpretation\u0026nbsp;of\u0026nbsp;probing classifiers.\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch4\u003EAbout Ellie\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EEllie Pavlick is an Assistant Professor\u0026nbsp;of\u0026nbsp;Computer Science at Brown University where she leads the\u0026nbsp;Language\u0026nbsp;Understanding and Representation (LUNAR) Lab. She received her PhD from the one-and-only University\u0026nbsp;of\u0026nbsp;Pennsylvania. Her current work focuses on building more cognitively-plausible models\u0026nbsp;of\u0026nbsp;natural\u0026nbsp;language\u0026nbsp;semantics, focusing on grounded\u0026nbsp;language\u0026nbsp;learning and on sample efficiency and generalization\u0026nbsp;of\u0026nbsp;neural\u0026nbsp;language\u0026nbsp;models.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"ML@GT is hosting a virtual seminar featuring Ellie Pavlick from Brown University. "}],"uid":"34773","created_gmt":"2020-12-14 15:14:05","changed_gmt":"2021-03-09 16:14:59","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-03-24T13:15:00-04:00","event_time_end":"2021-03-24T14:15:00-04:00","event_time_end_last":"2021-03-24T14:15:00-04:00","gmt_time_start":"2021-03-24 17:15:00","gmt_time_end":"2021-03-24 18:15:00","gmt_time_end_last":"2021-03-24 18:15:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"645116":{"#nid":"645116","#data":{"type":"event","title":"SCS Seminar Talk: Maria Apostolaki ","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EBuilding Secure Distributed Systems atop the Insecure Internet\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDistributed systems are increasingly important for our everyday life, allowing for high performance, fault tolerance, and flexibility. Many of these systems nowadays rely on the inherently insecure internet infrastructure. Surely though, they should have been designed to take this into account?\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this talk, I will answer negatively to this question using a concrete example: public blockchain systems such as Bitcoin. These are novel distributed systems that are designed according to stringent failure models. In this context, I will explain how an adversary controlling pieces of Internet infrastructure can practically compromise: (i) Bitcoin\u0026rsquo;s consensus protocol (by partitioning the network); (ii) Bitcoin\u0026rsquo;s anonymity guarantees (by mapping pseudonyms to real-world identities); and (iii) Bitcoin\u0026rsquo;s availability (by eclipsing clients).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhile these attacks are worrying, I will also introduce practical and effective defenses to counter them both at the network and the application layer. Beyond Bitcoin, this work teaches essential lessons for distributed-system design.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMaria Apostolaki is a Ph.D. student at ETH Zurich advised by Laurent Vanbever.\u003Cbr \/\u003E\r\nDuring her studies, she has been a visiting student at MIT (2019) and a research intern at Microsoft Research (2018) and Google (2017). Before joining ETH, she earned her diploma in electrical and computer engineering at the National Technical University of Athens, Greece.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nHer research focuses on building secure, performance, and deployable networked systems using both hardware and software. Her research led to discovering significant vulnerabilities in the Bitcoin system and spearheaded changes to the Bitcoin codebase. Apostolaki\u0026rsquo;s work received widespread media coverage and was awarded an Applied Networking Research Prize by IETF.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nJOIN THE TALK HERE: \u003Ca href=\u0022https:\/\/bluejeans.com\/946032411\u0022\u003Ehttps:\/\/bluejeans.com\/946032411\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Building Secure Distributed Systems atop the Insecure Internet"}],"uid":"34541","created_gmt":"2021-03-08 20:45:45","changed_gmt":"2021-03-08 20:53:45","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-03-18T12:00:00-04:00","event_time_end":"2021-03-18T13:00:00-04:00","event_time_end_last":"2021-03-18T13:00:00-04:00","gmt_time_start":"2021-03-18 16:00:00","gmt_time_end":"2021-03-18 17:00:00","gmt_time_end_last":"2021-03-18 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"645118":{"id":"645118","type":"image","title":"Maria Apostolaki","body":null,"created":"1615236556","gmt_created":"2021-03-08 20:49:16","changed":"1615236556","gmt_changed":"2021-03-08 20:49:16","alt":"Maria Apostolaki","file":{"fid":"244935","name":"MariaApostolakiSQ.jpeg","image_path":"\/sites\/default\/files\/images\/MariaApostolakiSQ.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/MariaApostolakiSQ.jpeg","mime":"image\/jpeg","size":467898,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/MariaApostolakiSQ.jpeg?itok=xn67ZK_c"}}},"media_ids":["645118"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto: tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"645109":{"#nid":"645109","#data":{"type":"event","title":"SCS Seminar Talk: Sahil Singla","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EAlgorithms and Uncertainty\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EModern algorithms have to regularly deal with uncertain inputs. This uncertainty can take many forms, e.g., in online advertisement future users are unknown (the input arrives online), in spectrum-auctions bidder valuations are unknown (the users are strategic), and in oil-drilling the amount of oil is unknown (the input is stochastic). Traditionally, there has not been significant overlap in the study of these different forms of uncertainty. I believe that studying these uncertainties together gives us a lot more power. In this talk, I will give an overview of my research in \u0026ldquo;Algorithms and Uncertainty\u0026rdquo; where I am able to successfully use these relationships.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EStudying these different forms of uncertainty together allows us to find connections and build unifying techniques. As an example, I will talk about my progress on long-standing combinatorial auctions problems that deal with strategic inputs, by using techniques which were originally developed for online inputs. Moreover, a combined study of uncertainty helps us find richer cross-cutting models. For example, several important online problems do not admit good algorithms in the classical worst-case models. I will talk about how to give a \u0026ldquo;beyond the worst-case\u0026rdquo; analysis for such problems and obtain more nuanced performance guarantees, by using models\/techniques arising in other forms of uncertainty.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESahil Singla is a research instructor (postdoc) jointly between Princeton University and Institute for Advanced Study. He received his Ph.D. in computer science from Carnegie Mellon University, where he was advised by Anupam Gupta and Manuel Blum. His research is in algorithms and uncertainty where the goal is to design optimal algorithms for uncertain inputs by studying different forms of uncertainty together. Singla has served on the program committees of the conferences SODA, ICALP, EC, and ESA. His research has been invited for talks at Highlights Beyond EC, at China Theory Week, at TCS+, and at Highlights of Algorithms. He recently contributed a chapter to the book Beyond the Worst-Case Analysis of Algorithms.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJOIN THE TALK HERE: \u003Ca href=\u0022mailto:https:\/\/bluejeans.com\/946032411\u0022\u003Ehttps:\/\/bluejeans.com\/946032411\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":" Algorithms and Uncertainty"}],"uid":"34541","created_gmt":"2021-03-08 19:51:58","changed_gmt":"2021-03-08 19:54:22","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-04-01T12:00:00-04:00","event_time_end":"2021-04-01T13:00:00-04:00","event_time_end_last":"2021-04-01T13:00:00-04:00","gmt_time_start":"2021-04-01 16:00:00","gmt_time_end":"2021-04-01 17:00:00","gmt_time_end_last":"2021-04-01 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"645110":{"id":"645110","type":"image","title":"Sahil Singla","body":null,"created":"1615233231","gmt_created":"2021-03-08 19:53:51","changed":"1615233231","gmt_changed":"2021-03-08 19:53:51","alt":"Sahil Singla","file":{"fid":"244932","name":"Sahil Image.jpg","image_path":"\/sites\/default\/files\/images\/Sahil%20Image.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Sahil%20Image.jpg","mime":"image\/jpeg","size":908561,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Sahil%20Image.jpg?itok=pHDzyuy7"}}},"media_ids":["645110"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"645085":{"#nid":"645085","#data":{"type":"event","title":"SCS Seminar Talk: Matteo Brucato","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EPackage Queries: Scalable Prescriptive Analytics Close to the Data \u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDecision making is central to a broad range of domains, including finance, transportation, healthcare, the travel industry, robotics, and engineering. It is often found at the very final step of business analytics--prescriptive analytics--to allow businesses to transform a rich understanding of data, typically provided by advanced predictive models, into actionable decisions. Modeling and solving these problems have relied on application-specific solutions, which are often complex, error-prone, and not generalizable. My goal is to create a domain-independent, declarative approach, supported and powered by the system where the data relevant to these problems typically resides: the database. Despite the widespread importance of prescriptive analytics, unified solutions close to the data did not exist.In my talk, I will present a prototype system that supports package queries, a new query modelthat extends traditional database queries to handle complex constraints and preferences over answer sets. Package queries allow the declarative specification and efficient evaluation of a significant class of constrained optimization problems--integer programs--within a database. These queries pose unique challenges to a database system, ranging from their richer expressive power, more complex semantics, and harder computational complexity than their SQL counterpart, to scalability issues that arise from large amounts of data and uncertainty in the data. I will illustrate how our unified system addresses all these challenges achieving high performance and quality in many real-world problems from finance, healthcare, and science. I will also present my vision for data-centric systems for decision making, and their connections with robotics, machine learning, natural language processing, visualization, operations management, and simulation.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMatteo Brucato is a Ph.D. candidate in computer science at the University of Massachusetts Amherst. Matteo\u0026#39;s research aims at augmenting data management systems to better support data science and all stages of analytics, with a focus on prescriptive analytics and data-driven decision making. He is the co-inventor of package queries and his work has been recognized by multiple awards, including CACM and SIGMOD Record research highlights, best paper at VLDB 2016, and both the best demonstration and the runner-up award in VLDB 2020. Matteo\u0026#39;s work is largely interdisciplinary, spanning multiple research areas beyond data management, such as natural language processing, information retrieval, AI, machine learning, robotics, and operations research. He received his Bachelor\u0026#39;s and Master\u0026#39;s degrees in computer science from the University of Bologna (Italy), he visited Aarhus University (Denmark), UC Riverside, UC Berkeley, and NYU, and he interned at MSR and IBM.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJOIN THE TALK HERE: \u003Ca href=\u0022https:\/\/bluejeans.com\/946032411\u0022\u003Ehttps:\/\/bluejeans.com\/946032411\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Package Queries: Scalable Prescriptive Analytics Close to the Data "}],"uid":"34541","created_gmt":"2021-03-08 16:27:15","changed_gmt":"2021-03-08 16:33:50","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-03-25T12:00:00-04:00","event_time_end":"2021-03-25T13:00:00-04:00","event_time_end_last":"2021-03-25T13:00:00-04:00","gmt_time_start":"2021-03-25 16:00:00","gmt_time_end":"2021-03-25 17:00:00","gmt_time_end_last":"2021-03-25 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"645086":{"id":"645086","type":"image","title":"Matteo Bruacato","body":null,"created":"1615220967","gmt_created":"2021-03-08 16:29:27","changed":"1615220967","gmt_changed":"2021-03-08 16:29:27","alt":"Matteo Brucato","file":{"fid":"244922","name":"M. BRUCATO - Photo 3-25-2021.docx_.png","image_path":"\/sites\/default\/files\/images\/M.%20BRUCATO%20-%20Photo%203-25-2021.docx_.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/M.%20BRUCATO%20-%20Photo%203-25-2021.docx_.png","mime":"image\/png","size":217145,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/M.%20BRUCATO%20-%20Photo%203-25-2021.docx_.png?itok=7iM2gXQ5"}}},"media_ids":["645086"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"642095":{"#nid":"642095","#data":{"type":"event","title":"ML@GT Virtual Seminar: Csaba Szepesvari, University of Alberta","body":[{"value":"\u003Cp\u003EML@GT invites you to a virtual seminar featuring Csaba Szepesvari from the University of Alberta. Please check back soon for additional information\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/ddtatyph\u0022\u003ERegistration is required\u003C\/a\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch2\u003EHardness of MDP planning with linear function approximation\u003C\/h2\u003E\r\n\r\n\u003Cp\u003EMarkov decision processes (MDPs) is a minimalist framework to capture that many tasks require long-term plans and feedback due to noisy dynamics. Yet, as a result MDPs lack structure and as such planning and learning in MDPs with the typically enormous state and action spaces is strongly intractable; no algorithm can avoid Bellman\u0026#39;s curse of dimensionality in the worst case. However, as recognized already by Bellman and his co-workers at the advent of our field, for many problem of practical interest, the optimal value function of an MDP is well approximated by just using a few basis functions, such as those that are standardly used in numerical calculations. As knowing the optimal value function is essentially equivalent to knowing how to act optimally, one hopes that this observation can be turned into efficient algorithms as there are only a few coefficients to compute. If this is possible, we can think of the resulting algorithms as performing computations with a compressed form of the value functions. While many algorithms have been proposed as early as in the 1960s, until recently not much has been known about whether these compressed computations are possible and when. In this talk, I will discuss a few recent results (some positive, some negative) that are concerned with these compressed computations and conclude with some open problems. As we shall see, still today, there are more open questions than questions that have been satisfactorily answered.\u003C\/p\u003E\r\n\r\n\u003Ch4\u003E\u003Cstrong\u003EAbout Csaba\u003C\/strong\u003E\u003C\/h4\u003E\r\n\r\n\u003Cp\u003ECsaba Szepesvari is a Canada CIFAR AI Chair, the team-lead for the \u0026ldquo;Foundations\u0026rdquo; team at DeepMind and a Professor of Computing Science at the University of Alberta. He earned his PhD in 1999 from Jozsef Attila University, in Szeged, Hungary. He has authored three books and over 200 peer-reviewed journal and conference papers. He serves as the action editor of the\u0026nbsp;\u003Ca href=\u0022http:\/\/www.jmlr.org\/\u0022 target=\u0022\u201cblank\u201d\u0022\u003EJournal of Machine Learning Research\u003C\/a\u003E\u0026nbsp;and\u0026nbsp;\u003Ca href=\u0022https:\/\/link.springer.com\/journal\/10994\/volumes-and-issues\u0022 target=\u0022\u201cblank\u201d\u0022\u003EMachine Learning\u003C\/a\u003E, as well as on various program committees. Dr. Szepesvari\u0026#39;s interest is artificial intelligence (AI) and, in particular, principled approaches to AI that use machine learning. He is the co-inventor of\u0026nbsp;\u003Ca href=\u0022https:\/\/en.wikipedia.org\/wiki\/Monte_Carlo_tree_search#Exploration_and_exploitation\u0022 target=\u0022\u201cblank\u201d\u0022\u003EUCT\u003C\/a\u003E, a widely successful\u0026nbsp;\u003Ca href=\u0022https:\/\/en.wikipedia.org\/wiki\/Monte_Carlo_tree_search\u0022 target=\u0022\u201cblank\u201d\u0022\u003EMonte-Carlo tree search algorithm\u003C\/a\u003E. UCT ignited much work in AI, such as DeepMind\u0026#39;s AlphaGo which defeated the top Go professional Lee Sedol in a landmark game. This work on UCT won the 2016 test-of-time award at ECML\/PKDD.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"ML@GT invites you to a virtual seminar featuring Csaba Szepesvari from the University of Alberta. "}],"uid":"34773","created_gmt":"2020-12-14 15:08:13","changed_gmt":"2021-03-02 17:25:01","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-03-10T12:15:00-05:00","event_time_end":"2021-03-10T13:15:00-05:00","event_time_end_last":"2021-03-10T13:15:00-05:00","gmt_time_start":"2021-03-10 17:15:00","gmt_time_end":"2021-03-10 18:15:00","gmt_time_end_last":"2021-03-10 18:15:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"644259":{"#nid":"644259","#data":{"type":"event","title":"SCP\/SCS Seminar Talk: Aayush Jain","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EProvably Secure Indistinguishability Obfuscation\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003EIn this talk, we will cover some exciting progress on the problem of Indistinguishability Obfuscation (proposed by Barak et. al. 2001). In a nutshell, an Indistinguishability Obfuscation scheme is an efficient compiler that takes as input a program and outputs a new program with the same input-behavior and only a polynomial slowdown, but in addition, we have the guarantee that the new program reveals minimal information about the original program.\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003EIf realized securely and efficiently, such an obfuscation scheme would have huge consequences to both theory and practice. However, until now we did not know if it exists under any reasonably well-believed conjecture. Our work places iO onto \u0026ldquo;terra-firma\u0026rdquo;, by giving a construction that is as secure as several well-studied mathematical problems that are widely believed to be extremely hard to solve.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this talk, we will hear about indistinguishability obfuscation, why it is useful, how it can be constructed, and future work.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAayush Jain is a final year Ph.D. student, advised by Amit Sahai at UCLA. He is interested in research questions in cryptography and their wonderful connections with related areas in computer science.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHis most notable contribution is the first construction of Program Obfuscation whose security rests upon four well-studied hard problems.\u0026nbsp; This problem was widely considered to be one of the most consequential open problems in cryptography. His work on this problem has been the subject of an invited tutorial at FOCS 2020, an article in Quanta magazine, and a Simons Institute Workshop. His research is recognized by a Google PhD Fellowship (2018-present), a Dean\u0026rsquo;s Fellowship (2016), and the 2020 Symantec Outstanding Graduate Research Award at UCLA.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJOIN THE TALK: \u003Cstrong\u003E\u003Ca href=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fbluejeans.com%2F821585375\u0026amp;data=04%7C01%7Ctess.malone%40cc.gatech.edu%7Cf5587f72bb6b430a547708d8cf9ff199%7C482198bbae7b4b258b7a6d7f32faa083%7C0%7C0%7C637487633149446795%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000\u0026amp;sdata=sogA9GuoLoCsZ%2FD1exKvpluiHaPZ%2BSKR5X90hPaleYQ%3D\u0026amp;reserved=0\u0022 style=\u0022color: blue; text-decoration: underline;\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/bluejeans.com\/821585375\u003C\/a\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Provably Secure Indistinguishability Obfuscation"}],"uid":"34541","created_gmt":"2021-02-15 18:47:50","changed_gmt":"2021-02-15 18:50:37","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-02-16T11:00:00-05:00","event_time_end":"2021-02-16T12:00:00-05:00","event_time_end_last":"2021-02-16T12:00:00-05:00","gmt_time_start":"2021-02-16 16:00:00","gmt_time_end":"2021-02-16 17:00:00","gmt_time_end_last":"2021-02-16 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"644260":{"id":"644260","type":"image","title":"Aayush Jain","body":null,"created":"1613415011","gmt_created":"2021-02-15 18:50:11","changed":"1613415011","gmt_changed":"2021-02-15 18:50:11","alt":"Aayush Jain","file":{"fid":"244603","name":"Jain-2000_v3-1720x1097.jpg","image_path":"\/sites\/default\/files\/images\/Jain-2000_v3-1720x1097.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Jain-2000_v3-1720x1097.jpg","mime":"image\/jpeg","size":355760,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Jain-2000_v3-1720x1097.jpg?itok=vjjF9E3Z"}}},"media_ids":["644260"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"644008":{"#nid":"644008","#data":{"type":"event","title":"SCS Seminar Talk: Kexin Rong","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EPrioritizing Computation and Analyst Resources in Large-scale Data Analytics \u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EData volumes are growing exponentially, fueled by an increased number of automated processes such as sensors and devices. Meanwhile, the computational power available for processing this data \u0026ndash; as well as analysts\u0026rsquo; ability to interpret it \u0026ndash; remain limited. As a result, database systems must evolve to address these new bottlenecks in analytics. In my work, I ask: how can we adapt classic ideas from database query processing to modern compute- and analyst-limited data analytics?In this talk, I will discuss the potential for this kind of systems development through the lens of several practical systems I have developed. By drawing insights from database query optimization, such as pushing workload-\u0026nbsp; and domain-s pecific filtering, aggregation, and sampling into core analytics workflows, we can dramatically improve the efficiency of analytics at scale. I will illustrate these ideas by focusing on two systems \u0026mdash; one designed for high-volume seismic waveform analysis and one designed to optimize visualizations for streaming infrastructure and application telemetry \u0026mdash; both of which have been field-tested at scale. I will also discuss lessons from production deployments at companies including Datadog, Microsoft, Google and Facebook\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EKexin Rong is a Ph.D. student in computer science at Stanford University, co-advised by Professors Peter Bailis and Philip Levis. She designs and builds systems to enable data analytics at scale, supporting applications including scientific analysis, infrastructure monitoring, and analytical queries on big data clusters. Prior to Stanford, she received her bachelor\u0026rsquo;s degree in computer science from California Institute of Technology.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJOIN THE TALK HERE:\u0026nbsp; \u003Ca href=\u0022mailto:https:\/\/bluejeans.com\/538930562\u0022\u003Ehttps:\/\/bluejeans.com\/538930562\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Prioritizing Computation and Analyst Resources in Large-scale Data Analytics "}],"uid":"34541","created_gmt":"2021-02-08 22:16:15","changed_gmt":"2021-02-08 22:21:11","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-02-23T11:00:00-05:00","event_time_end":"2021-02-23T12:00:00-05:00","event_time_end_last":"2021-02-23T12:00:00-05:00","gmt_time_start":"2021-02-23 16:00:00","gmt_time_end":"2021-02-23 17:00:00","gmt_time_end_last":"2021-02-23 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"644009":{"id":"644009","type":"image","title":"Kexin Rong","body":null,"created":"1612822703","gmt_created":"2021-02-08 22:18:23","changed":"1612822703","gmt_changed":"2021-02-08 22:18:23","alt":"Kexin","file":{"fid":"244507","name":"Kexin Rong - Photo 1-21-21.jpeg.jpg","image_path":"\/sites\/default\/files\/images\/Kexin%20Rong%20-%20Photo%201-21-21.jpeg.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Kexin%20Rong%20-%20Photo%201-21-21.jpeg.jpg","mime":"image\/jpeg","size":632414,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Kexin%20Rong%20-%20Photo%201-21-21.jpeg.jpg?itok=yLb_wQsa"}}},"media_ids":["644009"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"643961":{"#nid":"643961","#data":{"type":"event","title":"NLP Seminar: Addressing Biases for Robust, Generalizable AI","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u0026nbsp;Swabha Swayamdipta\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETime:\u0026nbsp;\u003C\/strong\u003E02\/12\/2021, 12.30pm - 1.30pm\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation\u003C\/strong\u003E:\u0026nbsp;\u003Ca href=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fprimetime.bluejeans.com%2Fa2m%2Flive-event%2Fjzpdzxqz\u0026amp;data=04%7C01%7Callie.mcfadden%40cc.gatech.edu%7Cc8fd7d275d114a5b2daa08d8ca20a735%7C482198bbae7b4b258b7a6d7f32faa083%7C0%7C0%7C637481588901120661%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000\u0026amp;sdata=Bnr5JNd4ooNvqC0OB5ZlJZ1iozhzWogi9IxUeR5oSDo%3D\u0026amp;reserved=0\u0022\u003Ehttps:\/\/primetime.bluejeans.com\/a2m\/live-event\/jzpdzxqz\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;Addressing Biases for Robust, Generalizable AI\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EArtificial Intelligence has made unprecedented progress in the past decade. However, there still remains a large gap between the decision-making capabilities of humans and machines. In this talk, I will investigate two factors to explain why. First, I will discuss the presence of undesirable biases in datasets, which ultimately hurt generalization. I will then present bias mitigation algorithms that boost the ability of AI models to generalize to unseen data. Second, I will explore task-specific prior knowledge which aids robust generalization, but is often ignored when training modern AI architectures. Throughout this discussion, I will focus my attention on language applications, and will show how certain underlying structures\u0026nbsp;can provide useful biases for inferring meaning in natural language. I will conclude with a discussion of how the broader framework of dataset and model biases will play a critical role in the societal impact of AI, going forward.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESwabha Swayamdipta is a postdoctoral investigator at the Allen Institute for AI, working with Yejin Choi. Her research focuses on natural language processing, where she explores dataset and linguistic structural biases, and model interpretability. Swabha received her Ph.D. from Carnegie Mellon University, under the supervision of Noah A. Smith and Chris Dyer. During most of her Ph.D. she was a visiting student at the University of Washington. She holds a Masters degree from Columbia University, where she was advised by Owen Rambow. Her research has been published at leading NLP and machine learning conferences, and has received an honorable mention for the best paper at ACL 2020.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"A seminar featuring Swabha Swayamdipta."}],"uid":"34773","created_gmt":"2021-02-08 13:43:24","changed_gmt":"2021-02-08 13:43:24","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-02-12T12:30:00-05:00","event_time_end":"2021-02-12T13:30:00-05:00","event_time_end_last":"2021-02-12T13:30:00-05:00","gmt_time_start":"2021-02-12 17:30:00","gmt_time_end":"2021-02-12 18:30:00","gmt_time_end_last":"2021-02-12 18:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJiaao Chen\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ejiaaochen@gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"643909":{"#nid":"643909","#data":{"type":"event","title":"SCP\/SCS Seminar Talk: Julian Loss","body":[{"value":"\u003Cp\u003ETITLE:\u0026nbsp; \u003Cem\u003EFoundations of Blockchain Systems \u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne of the most successful applications of modern cryptography has been its use in electronic and digital payment systems. In traditional systems, a trusted authority handles all payments (e.g., a bank or a credit card company). More recently, blockchain systems have emerged as a trust-free and increasingly popular alternative.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn a blockchain system, users jointly emulate the trusted authority by running a distributed protocol to agree on the transaction history of users (i.e., the blockchain). Making blockchain systems a secure and scalable environment poses many new and fascinating challenges that require solutions from both cryptography and distributed computing. In my talk, I will explain the different areas of my research and their importance as components that make up a blockchain system. For each of these areas, I will also list some of the open questions that I plan to work on in the near future.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJulian Loss obtained his MSc in computer science from ETH Zurich in 2016 and his Ph.D. from the Ruhr University of Bochum in 2019. He is currently a postdoc at the University of Maryland in the group of Jonathan Katz. His interests include classic cryptographic primitive,s such as digital signatures and multi-party computation, as well as blockchain\/consensus protocols.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJOIN THE TALK HERE: \u003Ca href=\u0022mailto:https:\/\/bluejeans.com\/821585375\u0022\u003Ehttps:\/\/bluejeans.com\/821585375\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Foundations of Blockchain Systems "}],"uid":"34541","created_gmt":"2021-02-05 00:26:16","changed_gmt":"2021-02-05 02:55:24","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-02-11T11:00:00-05:00","event_time_end":"2021-02-11T12:00:00-05:00","event_time_end_last":"2021-02-11T12:00:00-05:00","gmt_time_start":"2021-02-11 16:00:00","gmt_time_end":"2021-02-11 17:00:00","gmt_time_end_last":"2021-02-11 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"643910":{"id":"643910","type":"image","title":"Julian Loss","body":null,"created":"1612484847","gmt_created":"2021-02-05 00:27:27","changed":"1612484847","gmt_changed":"2021-02-05 00:27:27","alt":"Julian Loss","file":{"fid":"244477","name":"loss.jpg","image_path":"\/sites\/default\/files\/images\/loss.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/loss.jpg","mime":"image\/jpeg","size":182854,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/loss.jpg?itok=J5Y2UODd"}}},"media_ids":["643910"],"groups":[{"id":"50875","name":"School of Computer Science"},{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"643865":{"#nid":"643865","#data":{"type":"event","title":"SCS Seminar Talk: Ahmed Saeed","body":[{"value":"\u003Cp\u003ETITLE:\u003Cstrong\u003E \u003C\/strong\u003E\u003Cem\u003EBuilding Scalable Networks Stacks for Modern Applications\u202f\u0026nbsp;\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003EThe network stack in today\u0026#39;s operating systems is a remnant from a time when a server had a handful of cores and processed requests from a few thousand clients. It simply cannot keep up with the scale of modern servers and the requirements of modern applications. Specifically, real-time applications and high user expectations enforce strict performance requirements on the infrastructure. Further, there is a fundamental shift in the way hardware capacity scales from simply relying on Moore\u0026#39;s law to deliver faster hardware every couple of years to leveraging parallel processing and task-specific accelerators. This talk covers innovations in three key components of the network stack.\u202f First, I will cover my work on scalable packet scheduling in software network stacks, improving the control of traffic outgoing from large-scale servers. Second, I will move on to my work on improving overload control for servers handling microsecond-scale remote procedure calls, providing better control over incoming traffic to large-scale servers. Then, the talk covers my work on Wide Area Network (WAN) congestion control, focusing on network-assisted congestion control schemes, where end-to-end solutions fail. The talk will conclude with a discussion of plans for future research in this area.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003ESaeed is a postdoctoral associate at MIT working with Professor Mohammad Alizadeh. His research interests broadly cover the theory, design, and implementation of scalable computer networks and systems, including resource scheduling, congestion control, wireless networks, and cyber-physical systems. Before joining MIT, Saeed received his Ph.D. in computer science from Georgia Tech, where he was advised by Professors Mostafa Ammar and Ellen Zegura. His Ph.D. was partially supported by the Google Ph.D. Fellowship in Systems and Networking. He received his bachelor\u0026#39;s degree from Alexandria University in 2010.\u0026nbsp;\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003EJOIN THE TALK HERE:\u0026nbsp;\u003Ca href=\u0022https:\/\/bluejeans.com\/777110507\u0022\u003E https:\/\/bluejeans.com\/777110507\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Building Scalable Networks Stacks for Modern Applications\u202f "}],"uid":"34541","created_gmt":"2021-02-03 23:45:09","changed_gmt":"2021-02-03 23:47:09","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-02-25T11:00:00-05:00","event_time_end":"2021-02-25T12:00:00-05:00","event_time_end_last":"2021-02-25T12:00:00-05:00","gmt_time_start":"2021-02-25 16:00:00","gmt_time_end":"2021-02-25 17:00:00","gmt_time_end_last":"2021-02-25 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"643866":{"id":"643866","type":"image","title":"Ahmed Saeed","body":null,"created":"1612395992","gmt_created":"2021-02-03 23:46:32","changed":"1612395992","gmt_changed":"2021-02-03 23:46:32","alt":"Ahmed Saeed","file":{"fid":"244469","name":"ahmed_saeed_headshot1.png","image_path":"\/sites\/default\/files\/images\/ahmed_saeed_headshot1.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/ahmed_saeed_headshot1.png","mime":"image\/png","size":1273503,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/ahmed_saeed_headshot1.png?itok=3KxIE-3h"}}},"media_ids":["643866"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"643802":{"#nid":"643802","#data":{"type":"event","title":"SCS Seminar Talk: Alberto Dainotti ","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETITLE:\u003C\/strong\u003E \u003Cem\u003EDetecting and Visualizing Internet Failures: From Measurements to Streaming Analytics\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EABSTRACT:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOur society\u0026#39;s dependence on the internet is unquestioned. Yet our ability to manage the risks associated with relying on the proper functioning of the internet\u0026#39;s core infrastructure is hindered by a poor understanding of how it can fail. For example, we lack a thorough understanding of when\/where\/how\/why large connectivity failures happen; or we rely on a global routing system that is extremely vulnerable and we do not know to what extent it is exploited, by whom, and for what purposes. My research tries to address these questions by acquiring empirical evidence (e.g., on network status and misuse) on a global scale and longitudinally.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;In this talk I will first describe an approach I developed to gather unprecedented insight into episodes of connectivity disruption, which is based on two intuitions: the opportunity to extract (connectivity liveness) \u0026quot;signals\u0026quot; from so-called \u0026quot;Internet background noise\u0026quot; traffic and the benefit of combining different types of control-plane and data-plane measurements.\u0026nbsp; I then discuss how this inspired me to build a system (IODA,ioda.caida.org) to monitor the Internet for large-scale connectivity outages. IODA can detect Internet outages worldwide within minutes, continuously updating and monitoring hundreds of thousands of time series. IODA serves both as a research testbed and as a public service that provides automatically generated alerts and visualizations. This effort has enabled further research in multiple directions, facilitated interdisciplinary collaborations, and resulted in the engagement of industry, government, and civil society.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;I will conclude my talk by briefly discussing my other ongoing and future research efforts to understand and remediate Internet infrastructural issues and weaknesses.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBIO: \u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlberto Dainotti is an associate research scientist at CAIDA, the Center for Applied Internet Data Analysis at University of California, San Diego. His research is at the intersection of internet measurement, data science, and internet security with a focus on understanding and improving internet infrastructure security and reliability. He has received the ACM SIGCOMM Internet Measurement Conference Distinguished Paper Award, two IRTF Applied Networking Research Prizes, and the Best of ACM SIGCOMM Computer Communication Review award. Dainotti received his Ph.D. in computer engineering and systems at University of Napoli \u0026ldquo;Federico II,\u0026rdquo; Italy. \u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EJoin the talk here:\u003C\/strong\u003E \u003Ca href=\u0022https:\/\/bluejeans.com\/640828498\u0022\u003Ehttps:\/\/bluejeans.com\/640828498\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Detecting and Visualizing Internet Failures:  From Measurements to Streaming Analytics"}],"uid":"34541","created_gmt":"2021-02-02 23:02:08","changed_gmt":"2021-02-02 23:04:16","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-02-18T11:00:00-05:00","event_time_end":"2021-02-18T12:00:00-05:00","event_time_end_last":"2021-02-18T12:00:00-05:00","gmt_time_start":"2021-02-18 16:00:00","gmt_time_end":"2021-02-18 17:00:00","gmt_time_end_last":"2021-02-18 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"643803":{"id":"643803","type":"image","title":"Alberto Dainotti","body":null,"created":"1612307023","gmt_created":"2021-02-02 23:03:43","changed":"1612307023","gmt_changed":"2021-02-02 23:03:43","alt":"Alberto Dainotti","file":{"fid":"244425","name":"avatar.jpg","image_path":"\/sites\/default\/files\/images\/avatar.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/avatar.jpg","mime":"image\/jpeg","size":35157,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/avatar.jpg?itok=zhGCQg3M"}}},"media_ids":["643803"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"642092":{"#nid":"642092","#data":{"type":"event","title":"ML@GT Virtual Seminar: Sujith Ravi, Amazon","body":[{"value":"\u003Cp\u003EThe Machine Learning Center at Georgia Tech (ML@GT) will host a virtual seminar Sujith Ravi from Amazon.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/efbdudwx\u0022\u003E\u003Cstrong\u003ERegistration is required\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Ch5\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;Building the Next-Generation AI: Small and Efficient Neural Computing\u003C\/h5\u003E\r\n\r\n\u003Ch5\u003E\u0026nbsp;\u003C\/h5\u003E\r\n\r\n\u003Ch5\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/h5\u003E\r\n\r\n\u003Cp\u003EDeep learning has changed the computing paradigm. Today, AI researchers \u0026amp; practitioners increasingly use deep neural networks for many applications across different modalities and areas such as NLP, Vision, Speech, Conversational and Multimodal AI. However, much of the Deep Learning revolution has been limited to the Cloud and highly specialized hardware. Recently the AI community has witnessed an increasing trend for training larger and larger neural models (e.g., GPT-3, T5, BERT) that achieve state-of-the-art results but require enormous computation, memory and energy resources on the Cloud. In order to enable AI experiences in real-time across all users and devices, ML models have to run efficiently on the Cloud and personal devices on the Edge (e.g., mobile phones, wearables, IoT) which have limited computing capabilities.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this talk, I will introduce our work on Neural Projection computing, an efficient AI paradigm, and a family of efficient Projection Neural Network architectures that yield fast (e.g., quadratic speedup for transformer networks) and tiny models that shrink memory requirements by upto 10000x while achieving near state-of-the-art performance powering vision and NLP applications on billions of mobile devices. Widespread increase in availability of connected \u0026ldquo;smart\u0026rdquo; appliances (e.g., conversational assistants) means that there is an ever-expanding surface area for mobile intelligence and ambient devices in homes. Our approach enables efficient ML to solve complex prediction tasks for such applications both on-device and on Cloud, keeping model size, compute and power usage low while simultaneously optimizing for accuracy.\u003C\/p\u003E\r\n\r\n\u003Ch5\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/h5\u003E\r\n\r\n\u003Cp\u003EDr. Sujith Ravi is a Director at Amazon Alexa AI where he is leading efforts to build the future of multimodal conversational AI experiences at scale. Prior to that, he was leading and managing multiple ML and NLP teams and efforts in Google AI. He founded and headed Google\u0026rsquo;s large-scale graph-based semi-supervised learning platform, deep learning platform for structured and unstructured data as well as on-device machine learning efforts for products used by billions of people in Search, Ads, Assistant, Gmail, Photos, Android, Cloud and YouTube. These technologies power conversational AI (e.g., Smart Reply), Web and Image Search; On-Device predictions in Android and Assistant; and ML platforms like Neural Structured Learning in TensorFlow, Learn2Compress as Google Cloud service, TensorFlow Lite for edge devices.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Ravi has authored over 100 scientific publications and patents in top-tier machine learning and natural language processing conferences. His work has been featured in press: Wired, Forbes, Forrester, New York Times, TechCrunch, VentureBeat, Engadget, New Scientist, among others, and also won the SIGDIAL Best Paper Award in 2019 and ACM SIGKDD Best Research Paper Award in 2014. For multiple years, he was a mentor for Google Launchpad startups. Dr. Ravi was the Co-Chair (AI and deep learning) for the 2019 National Academy of Engineering (NAE) Frontiers of Engineering symposium. He was also the Co-Chair for EMNLP 2020, ICML 2019, NAACL 2019, and NeurIPS 2018 ML workshops and regularly serves as Senior\/Area Chair and PC of top-tier machine learning and natural language processing conferences like NeurIPS, ICML, ACL, NAACL, AAAI, EMNLP, COLING, KDD, and WSDM.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWebsite:\u0026nbsp;\u003Ca href=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=http%3A%2F%2Fwww.sravi.org%2F\u0026amp;data=04%7C01%7Callie.mcfadden%40cc.gatech.edu%7C358505da057b4b89b93308d8c2f15102%7C482198bbae7b4b258b7a6d7f32faa083%7C0%7C0%7C637473688990717085%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000\u0026amp;sdata=PzZ0DLRsNTRZhK6PDpCj4cA1PwGc%2Bx1pul2ZBnsQzVk%3D\u0026amp;reserved=0\u0022 target=\u0022_blank\u0022\u003Ewww.sravi.org\u003C\/a\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETwitter:\u0026nbsp;\u003Ca href=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=https%3A%2F%2Ftwitter.com%2Fravisujith\u0026amp;data=04%7C01%7Callie.mcfadden%40cc.gatech.edu%7C358505da057b4b89b93308d8c2f15102%7C482198bbae7b4b258b7a6d7f32faa083%7C0%7C0%7C637473688990727081%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000\u0026amp;sdata=%2BEvEkOmlvdPpK4v2v1A6z8LqT2KZ3kltqQJZ3xxGxEQ%3D\u0026amp;reserved=0\u0022 target=\u0022_blank\u0022\u003E@ravisujith\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELinkedIn:\u0026nbsp;\u003Ca href=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fwww.linkedin.com%2Fin%2Fsujithravi\u0026amp;data=04%7C01%7Callie.mcfadden%40cc.gatech.edu%7C358505da057b4b89b93308d8c2f15102%7C482198bbae7b4b258b7a6d7f32faa083%7C0%7C0%7C637473688990727081%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000\u0026amp;sdata=Sy0rraM1au%2Ftl%2FdEq5WCD%2F5zO%2FjsWrmS1IhClZMe9a0%3D\u0026amp;reserved=0\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/www.linkedin.com\/in\/sujithravi\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"ML@GT will host a seminar with guest, Sujith Ravi from Amazon Alexa AI"}],"uid":"34773","created_gmt":"2020-12-14 15:00:14","changed_gmt":"2021-01-28 14:54:56","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-02-24T12:15:00-05:00","event_time_end":"2021-02-24T13:15:00-05:00","event_time_end_last":"2021-02-24T13:15:00-05:00","gmt_time_start":"2021-02-24 17:15:00","gmt_time_end":"2021-02-24 18:15:00","gmt_time_end_last":"2021-02-24 18:15:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"642091":{"#nid":"642091","#data":{"type":"event","title":"ML@GT Virtual Seminar: Vincent Y.F. Tan, National University of Singapore (NUS)","body":[{"value":"\u003Cp\u003EML@GT will host Vincent Y.F. Tan from the\u0026nbsp;National University of Singapore (NUS) for a virtual seminar on Wednesday, Feb. 10.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/wtkyatrw\u0022\u003E\u003Cstrong\u003ERegistration is required\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETALK TITLE\u003C\/strong\u003E\u003Cbr \/\u003E\r\nLearning Tree Models in Noise: Exact Asymptotics and Robust Algorithms\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003EABSTRACT\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWe consider the classical problem of learning tree-structured graphical models but with the twist that the observations are corrupted in independent noise. For the case in which the noise is identically distributed, we derive the exact asymptotics via the use of probabilistic tools from the theory of strong large deviations. Our results strictly improve those of Bresler and Karzand (2020) and Nikolakakis et al. (2019) and demonstrate keen agreement with experimental results for sample sizes as small as that in the hundreds. When the noise is non-identically distributed, Katiyar et al. (2020) showed that although the exact tree structure cannot be recovered, one can recover a \u0026quot;partial\u0026quot; tree structure; that is, one that belongs to the equivalence class containing the true tree. We propose Symmetrized Geometric Averaging (SGA), a statistically robust algorithm for partial tree recovery. We provide error exponent analyses and extensive numerical results on a variety of trees to show that the sample complexity of SGA is significantly better than the algorithm of Katiyar et al. (2020). SGA can be readily extended to Gaussian models and is shown via numerical experiments to be similarly superior.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Ca href=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=https%3A%2F%2Farxiv.org%2Fabs%2F2101.08917\u0026amp;data=04%7C01%7Callie.mcfadden%40cc.gatech.edu%7Cc6863e90d4b4494351c808d8c3310f58%7C482198bbae7b4b258b7a6d7f32faa083%7C0%7C0%7C637473962801816192%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000\u0026amp;sdata=ZTmvfmgM%2BxcUYkVKwN%2FZYFnY7E8HY8rZx2VsbiLWN3U%3D\u0026amp;reserved=0\u0022\u003Ehttps:\/\/arxiv.org\/abs\/2101.08917\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Ca href=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=https%3A%2F%2Farxiv.org%2Fabs%2F2005.04354\u0026amp;data=04%7C01%7Callie.mcfadden%40cc.gatech.edu%7Cc6863e90d4b4494351c808d8c3310f58%7C482198bbae7b4b258b7a6d7f32faa083%7C0%7C0%7C637473962801816192%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000\u0026amp;sdata=OsXoKiYjXR17Hflt4BaHuB7TCdwY23Er1E0LJuwJcJ8%3D\u0026amp;reserved=0\u0022\u003Ehttps:\/\/arxiv.org\/abs\/2005.04354\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nThis is joint work with Anshoo Tandon, Aldric J. Y. Han and Shiyao Zhu.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003EABOUT VINCENT\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EVincent Y. F. Tan received the B.A. and M.Eng. degrees in electrical and information sciences from Cambridge University and the Ph.D. degree in electrical engineering and computer science (EECS) from the Massachusetts Institute of Technology (MIT).\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nHe is currently a Dean\u0026rsquo;s Chair Associate Professor with the Department\u0026nbsp; of Electrical and Computer Engineering and the Department of Mathematics,\u0026nbsp;National University of Singapore (NUS). His research interests include\u0026nbsp;information theory, machine learning, and statistical signal processing.\u0026nbsp;\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nHe was also an IEEE Information\u0026nbsp;Theory Society Distinguished Lecturer in 2018\/9. He is currently\u0026nbsp;serving as an Associate Editor for the IEEE Transactions on Signal Processing and an Associate Editor for Machine Learning for the IEEE Transactions\u0026nbsp;on Information Theory. He is a member of the IEEE\u0026nbsp;Information Theory Society Board of Governors.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Vincent Y.F. Tan, National University of Singapore (NUS)"}],"uid":"34773","created_gmt":"2020-12-14 14:50:41","changed_gmt":"2021-01-28 14:19:59","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-02-10T12:15:00-05:00","event_time_end":"2021-02-10T13:15:00-05:00","event_time_end_last":"2021-02-10T13:15:00-05:00","gmt_time_start":"2021-02-10 17:15:00","gmt_time_end":"2021-02-10 18:15:00","gmt_time_end_last":"2021-02-10 18:15:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"643461":{"#nid":"643461","#data":{"type":"event","title":"SCS Recruiting Seminar: Josh Alman","body":[{"value":"\u003Cp\u003ETITLE: Algorithms and Barriers for Fast Matrix Multiplication\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMatrix multiplication is one of the most basic algebraic operations. Since Strassen\u0026rsquo;s surprising breakthrough algorithm from 1969, which showed that matrices can be multiplied faster than the most straightforward algorithm, algorithmic problems from nearly every area of computer science have been sped up by clever reductions to matrix multiplication. It is popularly conjectured that two n \u0026times; n matrices can be multiplied in roughly O(n^2) time, but we don\u0026rsquo;t yet have the algorithmic techniques needed to achieve this.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this talk, I\u0026rsquo;ll give an overview of my work on this important problem in the broad context of my research on algorithm design and complexity theory for algebraic problems. First, I\u0026rsquo;ll give an overview of known applications of matrix multiplication, including some new applications to nearest neighbor search and processing data streams. Second, I\u0026rsquo;ll talk about the fastest known algorithm for matrix multiplication, which runs in time O(n^2.37286), which I recently designed with Virginia Vassilevska Williams. Third, I\u0026rsquo;ll describe new barrier results which help to explain why we\u0026rsquo;ve been stuck for so long on this problem, and describe what kinds of insights are needed for further improvements.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJosh Alman is a Michael O. Rabin postdoctoral fellow in theoretical computer science at Harvard University. He earned his Ph.D. in computer science from MIT in 2019, where he was advised by Virginia Vassilevska Williams and Ryan Williams. He works on both algorithm design and complexity theory, and much of his work combines tools and insights from both areas. He\u0026rsquo;s particularly interested in developing algebraic tools like algorithms for matrix multiplication and Fourier transforms, and applying them to problems throughout computer science. His awards include the European Association of TCS Distinguished Dissertation Award, the George M. Sprowls Award for outstanding Ph.D. theses in computer science at MIT, and best student paper awards at CCC 2019 and FOCS 2019.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWATCH HERE: \u003Ca href=\u0022mailto:https:\/\/bluejeans.com\/493104294\u0022\u003Ehttps:\/\/bluejeans.com\/493104294\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Algorithms and Barriers for Fast Matrix Multiplication"}],"uid":"34541","created_gmt":"2021-01-26 21:10:17","changed_gmt":"2021-01-28 00:02:55","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-02-02T11:00:00-05:00","event_time_end":"2021-02-02T12:00:00-05:00","event_time_end_last":"2021-02-02T12:00:00-05:00","gmt_time_start":"2021-02-02 16:00:00","gmt_time_end":"2021-02-02 17:00:00","gmt_time_end_last":"2021-02-02 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"643462":{"id":"643462","type":"image","title":"Josh Alman","body":null,"created":"1611695777","gmt_created":"2021-01-26 21:16:17","changed":"1611695777","gmt_changed":"2021-01-26 21:16:17","alt":"Josh Alman","file":{"fid":"244302","name":"image.png","image_path":"\/sites\/default\/files\/images\/image_5.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/image_5.png","mime":"image\/png","size":1926646,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/image_5.png?itok=wOCFAQAi"}}},"media_ids":["643462"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"643533":{"#nid":"643533","#data":{"type":"event","title":"SCS Seminar Talk: Sepideh Mahabadi ","body":[{"value":"\u003Cp\u003ETITLE: \u0026nbsp;\u003Cem\u003EDiversity and Fairness in Data Summarization Algorithms\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESearching and summarization are two of the most fundamental tasks in massive data analysis. In this talk, I will focus on these two tasks from the perspective of diversity and fairness. Search is often formalized as the (approximate) nearest neighbor problem. Despite an extensive research on this topic, its basic formulation is insufficient for many applications. In this talk, I will describe such applications and our approaches to address them. For example, we show how to incorporate diversity or fairness in the results of a search query.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EA prominent approach to summarize the data is to compute a small \u0026ldquo;core-set\u0026rdquo;: a subset of the data that is sufficient for approximating the solution of a given task. We introduce the notion of \u0026ldquo;composable core-sets\u0026rdquo; as core-sets with the composability property: the union of multiple core-sets should form a good summary for the union of the original data sets. This composability property enables efficient solutions to a wide variety of massive data processing applications, including distributed computation (e.g. Map-Reduce model), streaming algorithms, and similarity search. We show how to produce such efficient summaries of the data while preserving the diversity in the data set. I will describe several metrics for capturing the notion of diversity, and present efficient algorithms for construction of composable core-sets with respect to those metrics.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESepideh Mahabadi is a research assistant professor at the Toyota Technological Institute at Chicago (TTIC).\u0026nbsp; She received her Ph.D. from MIT, where she was advised by Piotr Indyk. For a year, she was a postdoctoral research scientist at Simons Collaboration on Algorithms and Geometry based at Columbia University. Her research focuses on theoretical foundations of massive data including high dimensional computational geometry, streaming algorithms, and data summarization; as well as social aspects of algorithms for massive data including diversity maximization and algorithmic fairness.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWATCH HERE:\u0026nbsp; \u003Ca href=\u0022https:\/\/bluejeans.com\/457461626\u0022\u003Ehttps:\/\/bluejeans.com\/457461626\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":" Diversity and Fairness in Data Summarization Algorithms"}],"uid":"34541","created_gmt":"2021-01-28 00:00:02","changed_gmt":"2021-01-28 00:01:55","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-02-04T11:00:00-05:00","event_time_end":"2021-02-04T12:00:00-05:00","event_time_end_last":"2021-02-04T12:00:00-05:00","gmt_time_start":"2021-02-04 16:00:00","gmt_time_end":"2021-02-04 17:00:00","gmt_time_end_last":"2021-02-04 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"643534":{"id":"643534","type":"image","title":"Sepideh Mahabadi ","body":null,"created":"1611792052","gmt_created":"2021-01-28 00:00:52","changed":"1611792052","gmt_changed":"2021-01-28 00:00:52","alt":"Sepideh Mahabadi ","file":{"fid":"244326","name":"photo-SepidehMahabadi.jpg","image_path":"\/sites\/default\/files\/images\/photo-SepidehMahabadi.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/photo-SepidehMahabadi.jpg","mime":"image\/jpeg","size":493058,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/photo-SepidehMahabadi.jpg?itok=loGHhv4S"}}},"media_ids":["643534"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"643408":{"#nid":"643408","#data":{"type":"event","title":"NLP in the Wild: From Ancient Akkadian to Biochemistry Protocols","body":[{"value":"\u003Cp\u003EWe are excited to start our NLP seminar this week! Our first speaker\u0026nbsp;for the semester is Dr. Gabriel Stanovsky,\u0026nbsp;a senior lecturer (\u0026asymp; assistant professor) at the Hebrew University of Jerusalem.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETime:\u0026nbsp;\u003C\/strong\u003E01\/29\/2021, 12.30pm - 1.30pm\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation\u003C\/strong\u003E:\u0026nbsp;\u003Ca href=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fprimetime.bluejeans.com%2Fa2m%2Flive-event%2Featygusw\u0026amp;data=04%7C01%7Callie.mcfadden%40cc.gatech.edu%7C2d0622d682954edfcfa408d8c154a5ff%7C482198bbae7b4b258b7a6d7f32faa083%7C0%7C0%7C637471916598397344%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000\u0026amp;sdata=82AuKkwKTZqWYwoz5AlGoAfAtgmpbTZHXD4kI4JCHsI%3D\u0026amp;reserved=0\u0022\u003Ehttps:\/\/primetime.bluejeans.com\/a2m\/live-event\/eatygusw\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch5\u003E\u003Cstrong\u003ETitle:\u0026nbsp;NLP in the Wild: From Ancient Akkadian to Biochemistry Protocols\u003C\/strong\u003E\u003C\/h5\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI\u0026rsquo;ll present two recent projects showing the range of domains I\u0026rsquo;d like to tackle in my work to help experts with diverse real-world research questions. First, I\u0026rsquo;ll present a model capable of filling in missing parts in ancient cuneiform tablets written thousands of years ago in now-extinct languages (Akkadian and Sumerian). Due to deterioration over time, these excavated tablets are often broken, faded, or cracked, making it hard for historians and archaeologists to read and interpret them. We show that by leveraging large-scale language models pretrained on modern texts we achieve good results in restoring missing parts in various domains and time periods, in the automatic evaluation as well as human analysis. Second, I will discuss a novel document-level representation of wet lab biochemistry protocols geared towards experiment automation and reproducibility, addressing challenges such as cross-sentence relations, long-range coreference, grounding, and implicit arguments. I\u0026rsquo;ll show examples from a manually-annotated corpus of complex lab protocols, and\u0026nbsp;present graph-prediction models that form the first step towards fully executable lab protocols.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr.\u0026nbsp;Gabriel Stanovsky is a senior lecturer (\u0026asymp; assistant professor) at the Hebrew University of Jerusalem. He did his postdoctoral research at the University of Washington and the Allen Institute for AI in Seattle, working with Prof. Luke Zettlemoyer and Prof. Noah Smith, and his PhD with Prof. Ido Dagan at Bar-Ilan University. He is interested in developing NLP models that with benefits for users in real-world applications. His work has received awards at top-tier conferences, including ACL and CoNLL, and recognition in popular journals such as Science and The New York Times.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"A seminar featuring Dr. Gabriel Stanovsky."}],"uid":"34773","created_gmt":"2021-01-25 18:59:53","changed_gmt":"2021-01-25 18:59:53","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-01-29T12:30:00-05:00","event_time_end":"2021-01-29T13:30:00-05:00","event_time_end_last":"2021-01-29T13:30:00-05:00","gmt_time_start":"2021-01-29 17:30:00","gmt_time_end":"2021-01-29 18:30:00","gmt_time_end_last":"2021-01-29 18:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMounica Maddela\u003C\/p\u003E\r\n\r\n\u003Cp\u003Emmaddela3@gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"643298":{"#nid":"643298","#data":{"type":"event","title":"SCS Recruiting Seminar: Jan van den Brand ","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003E Dynamic Linear Algebra \u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDynamic linear algebra \u0026mdash; algorithmic techniques for matrices that change over time \u0026mdash; lies at the core of many applications, from continuous optimization to efficient graph algorithms to machine learning. Yet, until recently, the full power of dynamic linear algebra was not known and exploited in most applications.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this talk, I will describe several new advances in using these techniques and outline the limits of what can be done with them. I will overview progress on longstanding problems in dynamic shortest path data structures, regression algorithms, optimal transport, and other problems using dynamic linear algebra.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJan van den Brand obtained his bachelor\u0026#39;s and master\u0026#39;s degrees in both mathematics and computer science at the Goethe University Frankfurt. Currently, he is a Ph.D. candidate at KTH Royal Institute of Technology, Stockholm, and recipient of the Google Ph.D. Fellowship. His research is on efficient algorithms with focus on optimization and dynamic problems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWATCH HERE: \u003Ca href=\u0022https:\/\/bluejeans.com\/558696336\u0022\u003Ehttps:\/\/bluejeans.com\/558696336\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Dynamic Linear Algebra"}],"uid":"34541","created_gmt":"2021-01-21 17:53:18","changed_gmt":"2021-01-21 18:14:05","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-01-28T11:00:00-05:00","event_time_end":"2021-01-28T12:00:00-05:00","event_time_end_last":"2021-01-28T12:00:00-05:00","gmt_time_start":"2021-01-28 16:00:00","gmt_time_end":"2021-01-28 17:00:00","gmt_time_end_last":"2021-01-28 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"643299":{"id":"643299","type":"image","title":"Jan van den Brand","body":null,"created":"1611252789","gmt_created":"2021-01-21 18:13:09","changed":"1611252789","gmt_changed":"2021-01-21 18:13:09","alt":"Jan van den Brand ","file":{"fid":"244245","name":"_avatar.jpg","image_path":"\/sites\/default\/files\/images\/_avatar.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/_avatar.jpg","mime":"image\/jpeg","size":191776,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/_avatar.jpg?itok=UzNECck6"}}},"media_ids":["643299"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"643193":{"#nid":"643193","#data":{"type":"event","title":"SCS Recruiting Seminar: Kira Goldner","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EMechanism Design for Social Good\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cdiv\u003ESociety is run by algorithms, and in many cases, these algorithms interact with participants who have a stake in the outcome. The participants may behave strategically in an attempt to \u0026quot;game the\u0026nbsp;system,\u0026quot; resulting in unexpected or suboptimal outcomes. In order to accurately predict an algorithm\u0026#39;s outcome and quality, we must design it to be robust to strategic manipulation. This is the subject\u0026nbsp;of algorithmic mechanism design, which borrows ideas from game theory and economics to\u0026nbsp;design robust algorithms.\u0026nbsp;\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003EIn this talk, I will show how results from the theoretical foundations of algorithmic mechanism design can be used to solve problems of societal concern. I will focus on applications in carbon license allocations, health insurance markets, and online labor markets.\u003C\/div\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cdiv\u003EKira Goldner is a postdoctoral researcher in the Computer Science Department and at the Data Science Institute at Columbia University, hosted by Tim Roughgarden, and supported by NSF Math Sciences and Data Science Institute fellowships. Goldner uses her background in the foundations of mechanism design to address societal problems, e.g., in healthcare, climate change, and privacy.\u0026nbsp; She has also worked on core problems concerning revenue maximization, simplicity, and robustness.\u0026nbsp; As part of this agenda, Goldner co-founded Mechanism Design for Social Good (MD4SG), an interdisciplinary initiative working to improve access to opportunity for historically disadvantaged communities.\u0026nbsp; She received her Ph.D. in computer science and engineering from the University of Washington under the advisement of Anna Karlin and was supported by a Microsoft Research PhD Fellowship and a Google Anita Borg Scholarship. She has received many awards for her work, including the EC 2019 Best Paper with a Student Lead Author Award and the EC 2020 Best Presentation by a Student or Postdoctoral Researcher Award.\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\u0026nbsp;\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003EWATCH HERE: \u003Ca href=\u0022https:\/\/bluejeans.com\/130236968\u0022 id=\u0022docs-internal-guid-9871806d-7fff-387c-8c3d-cb9a75129764\u0022 style=\u0022text-decoration:none;\u0022\u003Ehttps:\/\/bluejeans.com\/130236968\u003C\/a\u003E\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Mechanism Design for Social Good"}],"uid":"34541","created_gmt":"2021-01-20 19:16:58","changed_gmt":"2021-01-21 17:07:48","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-01-25T11:00:00-05:00","event_time_end":"2021-01-25T12:00:00-05:00","event_time_end_last":"2021-01-25T12:00:00-05:00","gmt_time_start":"2021-01-25 16:00:00","gmt_time_end":"2021-01-25 17:00:00","gmt_time_end_last":"2021-01-25 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"643196":{"id":"643196","type":"image","title":"Kira Goldner","body":null,"created":"1611170327","gmt_created":"2021-01-20 19:18:47","changed":"1611170327","gmt_changed":"2021-01-20 19:18:47","alt":"Kira Goldner","file":{"fid":"244220","name":"kiragoldnersquare.jpg","image_path":"\/sites\/default\/files\/images\/kiragoldnersquare.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/kiragoldnersquare.jpg","mime":"image\/jpeg","size":107869,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/kiragoldnersquare.jpg?itok=efwYrg6B"}}},"media_ids":["643196"],"groups":[{"id":"50875","name":"School of Computer Science"},{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"642985":{"#nid":"642985","#data":{"type":"event","title":"SCS Recruiting Seminar: Ellen Vitercik","body":[{"value":"\u003Cp\u003ETITLE: \u0026nbsp;\u003Cem\u003EIntegrating Machine Learning into Algorithm Design\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAn important property of those algorithms that are typically used in practice is broad applicability \u0026mdash; the ability to solve problems across diverse domains. However, the default, out-of-the-box performance of these algorithms can be unsatisfactory with slow runtime, poor solution quality, and even negative long-term social ramifications. In practice, there is often ample data available about the types of problems an algorithm will be run on, data that can potentially be harnessed to fine-tune the algorithm\u0026rsquo;s performance. We therefore need principled approaches for using this data to obtain strong application-specific performance guarantees.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this talk, I will give an overview of my research that provides practical methods built on firm theoretical foundations for incorporating machine learning and optimization into the process of algorithm design, selection, and configuration. I will describe my contributions across several diverse domains, including integer programming, clustering, mechanism design, and computational biology. As I will demonstrate, these seemingly disparate areas are connected by overarching structure which implies broadly-applicable guarantees.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EEllen Vitercik is a Ph.D. student at Carnegie Mellon University, where she is co-advised by Maria-Florina Balcan and Tuomas Sandholm. Her research revolves around artificial intelligence, algorithm design, and the interface between economics and computation with a particular focus on machine learning theory. Among other honors, she is a recipient of the Exemplary Artificial Intelligence Track Paper Award at EC\u0026rsquo;19, the Best Presentation by a Student or Postdoctoral Researcher Award at EC\u0026rsquo;19, the NSF Graduate Research Fellowship, the IBM PhD Fellowship, the Fellowship in Digital Health from CMU\u0026rsquo;s Center for Machine Learning and Health, and the Teaching Assistant of the Year Award from CMU\u0026rsquo;s Machine Learning Department.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/bluejeans.com\/139596401\u0022\u003EWatch here.\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":" Integrating Machine Learning into Algorithm Design"}],"uid":"34541","created_gmt":"2021-01-15 16:47:04","changed_gmt":"2021-01-19 15:30:12","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-01-19T11:00:00-05:00","event_time_end":"2021-01-19T12:00:00-05:00","event_time_end_last":"2021-01-19T12:00:00-05:00","gmt_time_start":"2021-01-19 16:00:00","gmt_time_end":"2021-01-19 17:00:00","gmt_time_end_last":"2021-01-19 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"642988":{"id":"642988","type":"image","title":"Ellen Vitercik","body":null,"created":"1610729903","gmt_created":"2021-01-15 16:58:23","changed":"1610729903","gmt_changed":"2021-01-15 16:58:23","alt":"Ellen ","file":{"fid":"244151","name":"vitercik_headshot.jpg","image_path":"\/sites\/default\/files\/images\/vitercik_headshot.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/vitercik_headshot.jpg","mime":"image\/jpeg","size":452375,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/vitercik_headshot.jpg?itok=fCTn0H0L"}}},"media_ids":["642988"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"642597":{"#nid":"642597","#data":{"type":"event","title":"ML@GT Virtual Seminar: Bolei Zhou, The Chinese University of Hong Kong","body":[{"value":"\u003Cp\u003EML@GT will host a virtual seminar featuring Bolei Zhou, an assistant professor at The Chinese University of Hong Kong. More information will be available soon.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ERegistration is required. \u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/rhffewaj\u0022\u003ERegister here.\u003C\/a\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Ch3\u003EInterpretable latent space and inverse problem in deep generative models\u003C\/h3\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Ch4\u003E\u0026nbsp;\u003C\/h4\u003E\r\n\r\n\u003Ch4\u003EAbstract:\u003C\/h4\u003E\r\n\r\n\u003Cp\u003ERecent progress in deep generative models such as Generative Adversarial Networks (GANs) has enabled synthesizing photo-realistic images, such as faces and scenes. However, it remains much less explored on what has been learned in the deep generative representation and why diverse realistic images can be synthesized. In this talk, I will present our recent series work from GenForce (\u003Ca href=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fgenforce.github.io%2F\u0026amp;data=04%7C01%7Callie.mcfadden%40cc.gatech.edu%7Cef1169ae547645db74a708d8b73e6548%7C482198bbae7b4b258b7a6d7f32faa083%7C0%7C0%7C637460825895700506%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000\u0026amp;sdata=tpUrPGh7hIZ6mJmxhluRQ712jBMajzIsy5sU%2FKw5UU0%3D\u0026amp;reserved=0\u0022 title=\u0022https:\/\/genforce.github.io\/\u0022\u003Ehttps:\/\/genforce.github.io\/\u003C\/a\u003E) on interpreting and utilizing latent space of the GANs. Identifying these semantics not only allows us to better understand the inner working of the deep generative models but also facilitates versatile image editings. I will also briefly talk about the inverse problem (how to invert a given image into the latent code) and the fairness of the generative model.\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Ch4\u003EBio\u003C\/h4\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003EBolei Zhou is an Assistant Professor with the Information Engineering Department at the Chinese University of Hong Kong. He earned his PhD in computer science at the Massachusetts Institute of Technology. His research is on machine perception and autonomy, with a focus on enabling interpretable human-AI interactions. He received the MIT Tech Review\u0026rsquo;s Innovators under 35 in Asia-Pacific Award, Facebook Fellowship, Microsoft Research Asia Fellowship, MIT Greater China Fellowship, and his research was featured in media outlets such as TechCrunch, Quartz, and MIT News.\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"A seminar hosted by ML@GT."}],"uid":"34773","created_gmt":"2021-01-06 16:04:18","changed_gmt":"2021-01-12 21:12:42","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-01-27T12:15:00-05:00","event_time_end":"2021-01-27T13:15:00-05:00","event_time_end_last":"2021-01-27T13:15:00-05:00","gmt_time_start":"2021-01-27 17:15:00","gmt_time_end":"2021-01-27 18:15:00","gmt_time_end_last":"2021-01-27 18:15:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"642596":{"#nid":"642596","#data":{"type":"event","title":"ML@GT Virtual Seminar: Sanjeet Hajarnis, eightfold.ai","body":[{"value":"\u003Cp\u003EML@GT will host a virtual seminar featuring Sanjeet Hajarnis, a principal engineer at eightfold.ai. Please check back soon for additional information.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ERegistration is required.\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/ydpugvgw\u0022\u003E Register here.\u003C\/a\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch3\u003EScalable and Responsible AI to Find the Right Career for the Right Person\u003C\/h3\u003E\r\n\r\n\u003Ch4\u003E\u0026nbsp;\u003C\/h4\u003E\r\n\r\n\u003Ch4\u003EAbstract:\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EEightfold\u0026#39;s\u0026nbsp;mission statement is to find the right career for the right person. In order to successfully\u0026nbsp;find the right career for any individual, it is imperative to have a deep understanding of their past and current accomplishments and use them to forecast their future capabilities and potential. The Machine Learning at Eightfold tackles this exact problem that helps to hire for potential and answer the question \u0026quot;What\u0026rsquo;s Next for You\u0026quot;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch4\u003EBio:\u003C\/h4\u003E\r\n\r\n\u003Cp\u003ESanjeet Hajarnis is a Principal Engineer at Eightfold AI and focuses on building scalable Machine Learning platforms at Eightfold. At Eightfold, he focuses on building large scale language models. Prior to Eightfold, Sanjeet has worked at Uber (Matching) and Facebook (News Feed). He graduated from Georgia Tech in 2012 with a specialization in Machine Learning.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"A seminar hosted by ML@GT."}],"uid":"34773","created_gmt":"2021-01-06 16:01:31","changed_gmt":"2021-01-11 17:28:15","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-01-20T12:15:00-05:00","event_time_end":"2021-01-20T13:15:00-05:00","event_time_end_last":"2021-01-20T13:15:00-05:00","gmt_time_start":"2021-01-20 17:15:00","gmt_time_end":"2021-01-20 18:15:00","gmt_time_end_last":"2021-01-20 18:15:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"642726":{"#nid":"642726","#data":{"type":"event","title":"CRNCH Summit","body":[{"value":"\u003Cp\u003EThe Center for Research into Novel Computing Hierarchies (CRNCH) at Georgia Tech is hosting our Fourth Annual Summit as a Virtual event on January 28-29, 2021.\u0026nbsp; Join us as we share updates from CRNCH including the latest in post-Moore research from Georgia Tech researchers, exciting developments from the NSF-funded Rogues Gallery testbed, and engaging talks from collaborators across industry and federal research labs. \u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe summit will start at 1:00pm \u0026ndash; 5:00 p.m., Thursday, Jan. 28\u003Csup\u003E,\u003C\/sup\u003E and will resume at 12:00 p.m. \u0026ndash; 5:00 p.m. on Friday, Jan. 29.\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Join us for CRNCH\u0027s annual summit."}],"uid":"34541","created_gmt":"2021-01-08 17:15:41","changed_gmt":"2021-01-08 17:16:03","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-01-29T12:00:00-05:00","event_time_end":"2021-01-29T17:00:00-05:00","event_time_end_last":"2021-01-29T17:00:00-05:00","gmt_time_start":"2021-01-29 17:00:00","gmt_time_end":"2021-01-29 22:00:00","gmt_time_end_last":"2021-01-29 22:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"642716":{"id":"642716","type":"image","title":"CRNCH Summit 2021","body":null,"created":"1610120032","gmt_created":"2021-01-08 15:33:52","changed":"1610120032","gmt_changed":"2021-01-08 15:33:52","alt":"CRNCH Summit 2021","file":{"fid":"244077","name":"image002.jpg","image_path":"\/sites\/default\/files\/images\/image002_5.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/image002_5.jpg","mime":"image\/jpeg","size":50544,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/image002_5.jpg?itok=F4v-g9PW"}}},"media_ids":["642716"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576491","name":"CRNCH"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1789","name":"Conference\/Symposium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ERuthie Book, Administrative Professional Sr.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:ruthie.book@cc.gatech.edu\u0022 style=\u0022color: rgb(5, 99, 193); text-decoration: underline; font-family: Calibri, sans-serif; font-size: 14.666666984558105px; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px;\u0022\u003Eruthie.book@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"642714":{"#nid":"642714","#data":{"type":"event","title":"CRNCH Summit","body":[{"value":"\u003Cp\u003EThe Center for Research into Novel Computing Hierarchies (CRNCH) at Georgia Tech is hosting our Fourth Annual Summit as a Virtual event on January 28-29, 2021.\u0026nbsp; Join us as we share updates from CRNCH including the latest in post-Moore research from Georgia Tech researchers, exciting developments from the NSF-funded Rogues Gallery testbed, and engaging talks from collaborators across industry and federal research labs. \u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe summit will start at 1:00pm \u0026ndash; 5:00 p.m., Thursday, Jan. 28\u003Csup\u003E,\u003C\/sup\u003E and will resume at 12:00 p.m. \u0026ndash; 5:00 p.m. on Friday, Jan. 29.\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Join us for CRNCH\u0027s annual summit."}],"uid":"34541","created_gmt":"2021-01-08 15:27:23","changed_gmt":"2021-01-08 17:07:45","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-01-28T13:00:00-05:00","event_time_end":"2021-01-28T17:00:00-05:00","event_time_end_last":"2021-01-28T17:00:00-05:00","gmt_time_start":"2021-01-28 18:00:00","gmt_time_end":"2021-01-28 22:00:00","gmt_time_end_last":"2021-01-28 22:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"642716":{"id":"642716","type":"image","title":"CRNCH Summit 2021","body":null,"created":"1610120032","gmt_created":"2021-01-08 15:33:52","changed":"1610120032","gmt_changed":"2021-01-08 15:33:52","alt":"CRNCH Summit 2021","file":{"fid":"244077","name":"image002.jpg","image_path":"\/sites\/default\/files\/images\/image002_5.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/image002_5.jpg","mime":"image\/jpeg","size":50544,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/image002_5.jpg?itok=F4v-g9PW"}}},"media_ids":["642716"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576491","name":"CRNCH"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1789","name":"Conference\/Symposium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ERuthie Book, Administrative Professional Sr.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:ruthie.book@cc.gatech.edu\u0022 style=\u0022color: rgb(5, 99, 193); text-decoration: underline; font-family: Calibri, sans-serif; font-size: 16px; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px;\u0022\u003Eruthie.book@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"642712":{"#nid":"642712","#data":{"type":"event","title":"SCS Seminar Talk: Vijay Ganesh","body":[{"value":"\u003Cp\u003ETITLE: \u0026nbsp;\u003Cem\u003EOn The Unreasonable Effectiveness of SAT Solvers\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOver the last two decades, software engineering (broadly construed to include testing, analysis, synthesis, verification, and security) has witnessed a silent revolution in the form of Boolean SAT and SMT solvers. These solvers are now integral to many testing, analysis, synthesis, and verification approaches. This is largely due to adramatic improvement in the scalability of these solvers vis-a-vis large real-world formulas. What is surprising is that the Booleansatisfiability problem is NP-complete, believed to be intractable, and yet these solvers easily solve industrial instances containing millions of variables and clauses in them. How can that be?\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn my talk, I will address this question of why SAT solvers are soefficient through the lens of machine learning (ML) as well as ideas from (parameterized) proof complexity. While the focus of my talk is almost entirely empirical, I will show how can we leverage theoretical ideas to not only deepen our understanding but also to build better SAT solvers. I will argue that SAT solvers are best viewed as proof systems, composed of two kinds of sub-routines, ones that implement proof rules and others that are prediction engines that optimize some metric correlated with solver running time. These prediction engines can be built using ML techniques, whose aim is to structure solverproofs in an optimal way. Thus, two major paradigms of AI, namely ML and logical deduction, are brought together in a principled way in order to design efficient SAT solvers. A result of my research is the MapleSAT solver, that has been the winner of several recent international SAT competitions and is widely used inindustry and academia.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Vijay Ganesh is an associate professor at the University of Waterloo. Prior to joining Waterloo in 2012, he was a research scientist at MIT (2007-2012) and completed his Ph.D. in computer science from Stanford in 2007. Ganesh\u0026rsquo;s primary area of research is the theory and practice of automated mathematical reasoning algorithms aimed at software engineering, security, and mathematics. In this context he has led the development of many SAT\/SMT solvers, most notably, STP, Z3 string, MapleSAT, and MathCheck. He has also proved several decidability and complexity results in the context of first-order theories. He has won over 25 awards, honors, and medals to date for his research, including an ACM Impact Paper Award at ISSTA 2019, ACM Test of Time Award at CCS 2016, and a Ten-Year Most Influential Paper citation in 2008. He is the editor-in-chief of the Springer book series Progress in Computer Science and Applied Logic (PCSAL) and has co-chaired many conferences, workshops, and seminars including a Simons Institute semester on Boolean Satisfiability in 2021.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":" On The Unreasonable Effectiveness of SAT Solvers"}],"uid":"34541","created_gmt":"2021-01-08 15:11:58","changed_gmt":"2021-01-08 15:19:46","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-01-14T11:00:00-05:00","event_time_end":"2021-01-14T12:00:00-05:00","event_time_end_last":"2021-01-14T12:00:00-05:00","gmt_time_start":"2021-01-14 16:00:00","gmt_time_end":"2021-01-14 17:00:00","gmt_time_end_last":"2021-01-14 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"642713":{"id":"642713","type":"image","title":"Vijay Ganesh","body":null,"created":"1610118813","gmt_created":"2021-01-08 15:13:33","changed":"1610118813","gmt_changed":"2021-01-08 15:13:33","alt":"Vijay Ganesh","file":{"fid":"244076","name":"Vijay-Ganesh-at-MIT.jpg","image_path":"\/sites\/default\/files\/images\/Vijay-Ganesh-at-MIT.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Vijay-Ganesh-at-MIT.jpg","mime":"image\/jpeg","size":18249,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Vijay-Ganesh-at-MIT.jpg?itok=_rtU_ZwM"}}},"media_ids":["642713"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"641426":{"#nid":"641426","#data":{"type":"event","title":"Fall 2020 Virtual Dean\u0027s New Undergraduate Alumni Celebration","body":[{"value":"\u003Cp\u003ECongratulations to another class of graduates, who will soon become part of the thousands of GT Computing alumni spread around the world. We\u0026#39;d like to help our newest alumni mark the occasion at the Fall 2020 Dean\u0026#39;s New Alumni Celebration!\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPlease join us a virtual\u0026nbsp;Dean\u0026#39;s New Undergraduate Alumni Celebration, to\u0026nbsp;be held Thursday, December\u0026nbsp;10\u0026nbsp;at 7\u0026nbsp;p.m. EST on\u0026nbsp;\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/ypyvbukg\u0022 target=\u0022_blank\u0022\u003EBlueJeans\u003C\/a\u003E**\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIf you are a graduate, be sure to look for an email titled\u003Cstrong\u003E \u0026quot;create your personal graduation slide\u0026quot;\u003C\/strong\u003E to personalize your slide for the virtual celebration! \u003Cstrong\u003EWednesday, Dec. 2\u0026nbsp;at 5 p.m. EST\u003C\/strong\u003E\u0026nbsp;is the slide submission deadline\u0026nbsp;- there is NO flexibility in\u0026nbsp;this submission deadline.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nThe program for December 10\u0026nbsp;is as follows;\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003ECharles Isbell\u003C\/strong\u003E, Dean of the College of Computing, John P. Imlay Jr. Chair\u003C\/li\u003E\r\n\t\u003Cli\u003ESlideshow presentation of all the Spring 2020 graduates in alpha order by last name\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003ECedric Stallworth\u003C\/strong\u003E, Assistant Dean for Outreach, Enrollment and Community; Senior Lecturer\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EJennifer Whitlow,\u0026nbsp;\u003C\/strong\u003EDirector of Computing Enrollment and Alumni Engagement\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\n**This ceremony\u0026nbsp;will also be housed on our website and emailed to you after the event.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nBe sure to tag your Dean\u0026rsquo;s New Alumni Celebration photos and posts on Instagram and Twitter with #GTComputing and #GT20\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nWe wish all of our graduates a safe, healthy and enjoyable winter!\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Fall 2020 Virtual Dean\u0027s New Undergraduate Alumni Celebration"}],"uid":"28150","created_gmt":"2020-11-18 20:04:15","changed_gmt":"2020-12-02 00:02:50","author":"Birney Robert","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-12-10T19:00:00-05:00","event_time_end":"2020-12-10T20:30:00-05:00","event_time_end_last":"2020-12-10T20:30:00-05:00","gmt_time_start":"2020-12-11 00:00:00","gmt_time_end":"2020-12-11 01:30:00","gmt_time_end_last":"2020-12-11 01:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"641423":{"id":"641423","type":"image","title":"Fall 2020 DNUAC","body":null,"created":"1605728014","gmt_created":"2020-11-18 19:33:34","changed":"1605728014","gmt_changed":"2020-11-18 19:33:34","alt":"","file":{"fid":"243741","name":"DNAC_Fall20 rotator.jpg","image_path":"\/sites\/default\/files\/images\/DNAC_Fall20%20rotator.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/DNAC_Fall20%20rotator.jpg","mime":"image\/jpeg","size":264467,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/DNAC_Fall20%20rotator.jpg?itok=1NxeWUh6"}}},"media_ids":["641423"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBirney Robert\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ebrobert@cc.gatech.edu\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eor\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJennifer Whitlow\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ejwhitlow@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"641388":{"#nid":"641388","#data":{"type":"event","title":"Fall 2020 Virtual Dean\u0027s New Graduate Alumni Celebration","body":[{"value":"\u003Cp\u003ECongratulations! You are about to earn your graduate degree from Georgia Tech, and we want to honor your achievement and help you celebrate!\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPlease join us for a virtual Dean\u0026#39;s New Graduate Alumni Celebration, to\u0026nbsp;be held on Monday, December 14\u0026nbsp;at 7\u0026nbsp;p.m. EST on\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/hyzkhpfw\u0022 target=\u0022_blank\u0022\u003E\u0026nbsp;\u003C\/a\u003E\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/kfjradbq\u0022\u003EBlueJeans**\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nThe program for December 14 is as follows;\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003ECharles Isbell\u003C\/strong\u003E, Dean of the College of Computing, John P. Imlay Jr. Chair\u003C\/li\u003E\r\n\t\u003Cli\u003ESlideshow presentation of all the Fall 2020 graduates in alpha order by last name\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EDavid Joyner\u003C\/strong\u003E, Executive Director of Online Education \u0026amp; OMSCS\u0026nbsp;and Senior Research Associate\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EJennifer Whitlow,\u0026nbsp;\u003C\/strong\u003EDirector of Computing Enrollment and Alumni Engagement\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E**This ceremony will also be housed on our website afterwards.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIf you are a graduate, be sure to look for an email titled\u003Cstrong\u003E \u0026quot;create your personal graduation slide\u0026quot;\u003C\/strong\u003E to personalize your slide for the virtual celebration! \u003Cstrong\u003EWednesay, Dec. 2\u0026nbsp;at 5\u0026nbsp;p.m. EST\u003C\/strong\u003E is the slide submission deadline\u0026nbsp;- there is NO flexibility in\u0026nbsp;this submission deadline.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nIf you are an OMS\u0026nbsp;graduate, please tune in\u0026nbsp;\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/vypwhwyp\u0022 target=\u0022_blank\u0022\u003EHERE\u003C\/a\u003E\u0026nbsp;Monday, December 14 at 10 a.m. EST or \u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/rgfxyjeg\u0022\u003EHERE \u003C\/a\u003EMonday, December 14 at 6 p.m. EST to see Executive Director, David Joyner give a tour of the Georgia Tech campus. You will have the opportunity to ask questions during this live event. Any and all are welcome to join. Just so we have an idea of numbers, please\u0026nbsp;\u003Ca href=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_28XPVWa2NbPXDW5\u0022 target=\u0022_blank\u0022\u003ERSVP HERE\u003C\/a\u003E\u003Ca href=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_8Bxpow3WEYQgXbv\u0022\u003E.\u003C\/a\u003E\u0026nbsp;This tour will also be hosted on the website a week after the event.\u003Cbr \/\u003E\r\nBe sure to tag your Dean\u0026rsquo;s New Alumni Celebration photos and posts on Instagram and Twitter with #GTComputing and #GT20\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nWe wish all of our graduates a safe, healthy, and enjoyable winter!\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Fall 2020 Virtual Dean\u0027s New Graduate Alumni Celebration"}],"uid":"28150","created_gmt":"2020-11-17 20:22:59","changed_gmt":"2020-12-01 23:59:07","author":"Birney Robert","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-12-14T19:00:00-05:00","event_time_end":"2020-12-14T20:30:00-05:00","event_time_end_last":"2020-12-14T20:30:00-05:00","gmt_time_start":"2020-12-15 00:00:00","gmt_time_end":"2020-12-15 01:30:00","gmt_time_end_last":"2020-12-15 01:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"641405":{"id":"641405","type":"image","title":"Fall 2020 DNGAC","body":null,"created":"1605713030","gmt_created":"2020-11-18 15:23:50","changed":"1605713030","gmt_changed":"2020-11-18 15:23:50","alt":"","file":{"fid":"243737","name":"DNGAC_Fall20 rotator.jpg","image_path":"\/sites\/default\/files\/images\/DNGAC_Fall20%20rotator.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/DNGAC_Fall20%20rotator.jpg","mime":"image\/jpeg","size":315141,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/DNGAC_Fall20%20rotator.jpg?itok=KJE1_wRH"}}},"media_ids":["641405"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBirney Robert\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ebrobert@cc.gatech.edu\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eor\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJennifer Whitlow\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ejwhitlow@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"639400":{"#nid":"639400","#data":{"type":"event","title":"ML@GT Virtual Seminar: Jia-Bin Huang, Virginia Tech","body":[{"value":"\u003Cp\u003EJia-Bin Huang, an assistant professor at Virginia Tech, will give a virtual seminar on machine learning on December 2, 2020.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERegister at:\u0026nbsp;\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/kgjkcdxt\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/primetime.bluejeans.com\/a2m\/register\/kgjkcdxt\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Ch4\u003E\u003Cstrong\u003ETalk title\u003C\/strong\u003E:\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EBringing Visual Memories to Life\u003C\/p\u003E\r\n\r\n\u003Ch4\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E:\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EPhotography allows us to capture and share memorable moments of our lives. However, 2D images appear flat due to the lack of depth perception and may suffer from poor imaging conditions such as taking photos through reflecting or occluding elements. In this talk, I will present our recent efforts to overcome these limitations. Specifically, I will cover our recent for creating\u0026nbsp;compelling 3D photography, removing unwanted obstructions seamlessly from images or videos, and estimating consistent video depth\u0026nbsp;for advanced video-based visual effects.\u0026nbsp;I will conclude the talk with some ongoing research and research challenges ahead.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch4\u003E\u003Cstrong\u003ESpeaker\u003C\/strong\u003E:\u0026nbsp;\u003C\/h4\u003E\r\n\r\n\u003Cp\u003E- Jia-Bin Huang,\u0026nbsp;Assistant Professor,\u0026nbsp;Virginia Tech\u003C\/p\u003E\r\n\r\n\u003Cp\u003E- Website:\u0026nbsp;\u003Ca href=\u0022https:\/\/filebox.ece.vt.edu\/~jbhuang\/\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/filebox.ece.vt.edu\/~jbhuang\/\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Ch4\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E:\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EJia-Bin Huang is an Assistant Professor in the Bradley Electrical and Computer Engineering at Virginia Tech. He received his Ph.D. degree from the Department of Electrical and Computer Engineering at the University of Illinois, Urbana-Champaign. His research interests include computer vision, computer graphics, and machine learning with a focus on visual analysis and synthesis with physically grounded constraints. His research received the best student paper award in IAPR International Conference on Pattern Recognition (ICPR) for the work on computational modeling of visual saliency and the best paper award in the ACM Symposium on Eye Tracking Research \u0026amp; Applications (ETRA) for work on learning-based eye gaze tracking. Huang is the recipient of the NSF CRII award, Samsung Global Outreach Award, 3M non-tenured faculty award, and a Google faculty research award.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Jia-Bin Huang, an assistant professor at Virginia Tech, will give a virtual seminar on machine learning on December 2, 2020.\u00a0"}],"uid":"34773","created_gmt":"2020-09-22 17:21:37","changed_gmt":"2020-11-18 14:23:28","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-12-02T12:15:00-05:00","event_time_end":"2020-12-02T13:15:00-05:00","event_time_end_last":"2020-12-02T13:15:00-05:00","gmt_time_start":"2020-12-02 17:15:00","gmt_time_end":"2020-12-02 18:15:00","gmt_time_end_last":"2020-12-02 18:15:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"640967":{"#nid":"640967","#data":{"type":"event","title":"ML@GT Lab Lightning Talks","body":[{"value":"\u003Cp\u003ELabs affiliated with the Machine Learning Center at Georgia Tech (ML@GT) will have the opportunity to share their research interests, work, and unique aspects of their lab in three minutes or less to interested graduate students, Georgia Tech faculty, and members of the public.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/sebjuyte\u0022\u003ERegistration is required.\u003C\/a\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EParticipating labs include:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EYao\u0026rsquo;s Group - \u003Cstrong\u003EYao Xie\u003C\/strong\u003E, H. Milton Stewart School of Industrial Systems and Engineering (ISyE)\u003C\/li\u003E\r\n\t\u003Cli\u003EHuo Lab - \u003Cstrong\u003EXiaoming Huo\u003C\/strong\u003E, ISyE\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/www2.isye.gatech.edu\/~tzhao80\/Ads.pdf\u0022\u003EFLASH\u003C\/a\u003E \u0026ndash; \u003Cstrong\u003ETuo Zhao\u003C\/strong\u003E, ISyE and School of Computational Science and Engineering (CSE)\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/lf.gatech.edu\/\u0022\u003ELF Radio Lab\u003C\/a\u003E \u0026ndash; \u003Cstrong\u003EMorris Cohen\u003C\/strong\u003E, School of Electrical Computing and Engineering (ECE)\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/poloclub.github.io\/\u0022\u003EPolo Club of Data Science\u003C\/a\u003E \u0026ndash; \u003Cstrong\u003EPolo Chau\u003C\/strong\u003E, CSE\u003C\/li\u003E\r\n\t\u003Cli\u003ENetwork Science \u0026ndash; \u003Cstrong\u003EConstantine Dovrolis\u003C\/strong\u003E, School of Computer Science\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/claws.cc.gatech.edu\/\u0022\u003ECLAWS\u003C\/a\u003E \u0026ndash; \u003Cstrong\u003ESrijan Kumar\u003C\/strong\u003E, CSE\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/rehg.org\/research\/\u0022\u003ERehg Lab\u003C\/a\u003E \u0026ndash; \u003Cstrong\u003EJim Rehg\u003C\/strong\u003E, School of Interactive Computing (IC)\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/sites.google.com\/site\/sivatheja\/group\u0022\u003EControl, Optimization, Algorithms, and Randomness (COAR) Lab\u003C\/a\u003E \u0026ndash; \u003Cstrong\u003ESiva Theja Maguluri\u003C\/strong\u003E, ISyE\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/eilab.gatech.edu\/mark-riedl\u0022\u003EEntertainment Intelligence Lab and Human Centered AI Lab\u003C\/a\u003E \u0026ndash; \u003Cstrong\u003EMark Riedl\u003C\/strong\u003E, IC\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~dyang888\/group.html\u0022\u003ESocial and Language Technologies (SALT) Lab\u003C\/a\u003E \u0026ndash; \u003Cstrong\u003EDiyi Yang\u003C\/strong\u003E, IC\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/swatigupta.tech\/research\/\u0022\u003EFATHOM Research Group\u003C\/a\u003E \u0026ndash; \u003Cstrong\u003ESwati Gupta\u003C\/strong\u003E, ISyE\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/xiuweizhang.wordpress.com\/group\/\u0022\u003EZhang\u0026#39;s CompBio Lab\u003C\/a\u003E \u0026ndash; \u003Cstrong\u003EXiuwei Zhang,\u003C\/strong\u003E CSE\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/people.eecs.berkeley.edu\/~ashwinpm\/\u0022\u003EStatistical Machine Learning\u003C\/a\u003E - \u003Cstrong\u003EAshwin Pananjady\u003C\/strong\u003E, ISyE and ECE\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~badityap\/index.html#students\u0022\u003EAdityaLab\u003C\/a\u003E - \u003Cstrong\u003EB. Aditya Prakash\u003C\/strong\u003E, CSE\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/ghassanalregib.info\/\u0022\u003EOLIVES\u003C\/a\u003E - \u003Cstrong\u003EGhassan AlRegib\u003C\/strong\u003E, ECE\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~zk15\/group\/\u0022\u003ERobotics Perception and Learning (RIPL)\u003C\/a\u003E \u0026ndash; \u003Cstrong\u003EZsolt Kira\u003C\/strong\u003E, IC\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/www.irfanessa.gatech.edu\/team\/\u0022\u003EEye-Team \u003C\/a\u003E- \u003Cstrong\u003EIrfan Essa\u003C\/strong\u003E, IC\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/mdav.ece.gatech.edu\/students\/\u0022\u003E\u003Cstrong\u003EMark Davenport\u003C\/strong\u003E\u003C\/a\u003E, ECE\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Learn more labs affiliated with ML@GT in a lightning round style event on Dec. 4, 2020."}],"uid":"34773","created_gmt":"2020-11-04 19:59:14","changed_gmt":"2020-11-16 23:42:32","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-12-04T14:00:00-05:00","event_time_end":"2020-12-04T15:30:00-05:00","event_time_end_last":"2020-12-04T15:30:00-05:00","gmt_time_start":"2020-12-04 19:00:00","gmt_time_end":"2020-12-04 20:30:00","gmt_time_end_last":"2020-12-04 20:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"640966":{"id":"640966","type":"image","title":"ML@GT Lab Lightning Talk","body":null,"created":"1604519327","gmt_created":"2020-11-04 19:48:47","changed":"1604519327","gmt_changed":"2020-11-04 19:48:47","alt":"ML@GT Lab Lightning Talk","file":{"fid":"243598","name":"Lab Lightning Talk (2).png","image_path":"\/sites\/default\/files\/images\/Lab%20Lightning%20Talk%20%282%29.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Lab%20Lightning%20Talk%20%282%29.png","mime":"image\/png","size":173493,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Lab%20Lightning%20Talk%20%282%29.png?itok=r91SlW3M"}}},"media_ids":["640966"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden | Communications Officer | allie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"641249":{"#nid":"641249","#data":{"type":"event","title":"Analytics Seminar: LinkedIn Data Science - Creating Global Economic Opportunities","body":[{"value":"\u003Cp\u003EDate: Monday, Nov 16, 2020\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETime: 3:00pm-4:00pm Eastern Time (ET)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EJoin virtually:\u0026nbsp;\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/live-event\/xvrbevrh\u0022\u003Ehttps:\/\/primetime.bluejeans.com\/a2m\/live-event\/xvrbevrh\u003C\/a\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Ch3\u003ETitle\u003C\/h3\u003E\r\n\r\n\u003Cp\u003ELinkedIn Data Science - Creating Global Economic Opportunities\u003C\/p\u003E\r\n\r\n\u003Ch3\u003EAbstract\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EAt LinkedIn, data plays an essential role in achieving our vision of creating economic opportunity for every member of the global workforce. In this talk, Ya Xu will share perspectives from her experience and will highlight a few interesting problems her team tackles, such as measuring network effects, addressing cannibalization bias on advertising using budget split, forecasting, data privacy, responsible design, and fairness in our products and ML models.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003ESpeaker\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EYa Xu, VP of Engineering and Head of Data Science Team at LinkedIn\u003C\/p\u003E\r\n\r\n\u003Cp\u003EYa joined LinkedIn in 2013 and has since truly helped make LinkedIn a Data First company. She leads an exceptional team of talented data scientists whose work covers metrics, insights, inference and algorithms and they tackle data science challenges across product, sales, marketing, economics, infrastructure, and operations. This centralized group has 300+ data scientists distributed across US (Sunnyvale, Mountain View, San Francisco, New York), India, China, Singapore and Dublin, Ireland. Ya is passionate about bridging science and engineering to create impactful results. She and her team try to keep LinkedIn on the cutting edge while ensuring that its A.I. systems avoid providing biased results while maintaining user privacy. They help the company take active responsibility over the data they collect to ensure fairness and protect privacy.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn addition to her work at LinkedIn, Ya\u0026rsquo;s contributions outside of her day job, such as the bookshe co-authored on Experimentation and her Stanford commencement speech, are meaningful to the entire industry as well as future Data Scientists. Before LinkedIn, she worked at Microsoft and received a PhD in Statistics from Stanford University.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EYa Xu\u0026rsquo;s LinkedIn Profile:\u0026nbsp;\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/ya-xu\/\u0022\u003Ehttps:\/\/www.linkedin.com\/in\/ya-xu\/\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Ch3\u003EHost\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EPolo Chau\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAssociate Professor, CSE, College of Computing\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAssociate Director, MS Analytics\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDirector of Industry Relations, Institute for Data Engineering and Science (IDEaS)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAssociate Director of Corporate Relations, Center for Machine Learning (ML@GT)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E2018-2021 Provost Teaching and Learning Fellow\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"In this talk, Ya Xu will share perspectives from her experience and will highlight a few interesting problems her team tackles at LinkedIn."}],"uid":"34773","created_gmt":"2020-11-11 20:41:47","changed_gmt":"2020-11-11 20:42:56","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-11-16T15:00:00-05:00","event_time_end":"2020-11-16T16:00:00-05:00","event_time_end_last":"2020-11-16T16:00:00-05:00","gmt_time_start":"2020-11-16 20:00:00","gmt_time_end":"2020-11-16 21:00:00","gmt_time_end_last":"2020-11-16 21:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EPolo Chau\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAssociate Professor, CSE, College of Computing\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAssociate Director, MS Analytics\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDirector of Industry Relations, Institute for Data Engineering and Science (IDEaS)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAssociate Director of Corporate Relations, Center for Machine Learning (ML@GT)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E2018-2021 Provost Teaching and Learning Fellow\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"640729":{"#nid":"640729","#data":{"type":"event","title":"Let\u2019s Talk about Bias and Diversity in Data, Software, and Institutions","body":[{"value":"\u003Cp\u003EBias and lack of diversity have long been deep-rooted problems across industries. To discuss how these issues impact data, software, and institutions, and how we can improve moving forward, the \u003Ca href=\u0022http:\/\/ml.gatech.edu\/\u0022\u003EMachine Learning Center at Georgia Tech (ML@GT) \u003C\/a\u003Ewill be hosting a panel discussion on Friday, Nov.\u0026nbsp;20 from 12-1 pm ET.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe panel will feature thought leaders from Google, Georgia Tech, and Queer in AI, who will together answer questions like \u0026quot;What implications and problems exist or will exist if the tech workforce does not become more diverse?\u0026quot; and \u0026quot;How does anyone make sure they are not introducing their bias into a given system? What questions should we be asking or actions should we be taking to avoid this?\u0026quot;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ERegistration is required and \u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/kchrwwug\u0022\u003Eavailable here.\u003C\/a\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Ch2\u003EPanelists\u003C\/h2\u003E\r\n\r\n\u003Ch4\u003E\u0026nbsp;\u003C\/h4\u003E\r\n\r\n\u003Ch4\u003ECharles Isbell\u003C\/h4\u003E\r\n\r\n\u003Cp\u003ECharles Isbell is the Dean of Computing and The John P. Imlay Jr. Chair at Georgia Tech\u0026rsquo;s College of Computing. He is also a professor in the School of Interactive Computing and the Machine Learning Center at Georgia Tech (ML@GT.)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIsbell\u0026#39;s research passion is artificial intelligence. In particular, he focuses on applying statistical machine learning to building autonomous agents that must live and interact with large numbers of other intelligent agents, some of whom may be human.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELately, Isbell has turned his energies toward adaptive modeling, especially activity discovery (as distinct from activity recognition); scalable coordination; and development environments that support the rapid prototyping of adaptive agents. As a result, he has begun developing adaptive programming languages, worrying about issues of software engineering, and trying to understand what it means to bring machine learning tools to non-expert authors, designers, and developers.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch4\u003E\u003Cstrong\u003ERapha Gontijo Lopes\u003C\/strong\u003E\u003C\/h4\u003E\r\n\r\n\u003Cp\u003ERapha Gontijo Lopes is a research associate at Google Brain and a founder of Queer in AI. He joined Google as an AI Resident in the summer of 2018 after completing his B.S. degree in Computer Science at Georgia Tech. His work investigates how deep learning works (or doesn\u0026#39;t), and the role that input distributions have on model robustness. As an organizer for Queer in AI, he creates academic workshops that drive the research conversation at the intersection of AI and LGBTQ+ people.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch4\u003ETiffany Deng\u003C\/h4\u003E\r\n\r\n\u003Cp\u003ETiffany Deng leads the Responsible AI Program Management Team at Google where she is focused on helping people build products that work for everyone. Prior to Google, Tiffany worked as a Privacy Program Manager at Facebook and as consultant in Washington, D.C.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch4\u003EModerator: Deven Desai\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EDeven Desai is an associate director of the Machine Learning Center (ML@GT) and associate professor in the Scheller College of Business. He was also the first, and to date, only Academic Research Counsel at Google, Inc., and a Visiting Fellow at Princeton University\u0026#39;s Center for Information Technology Policy.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;Professor Desai\u0026#39;s scholarship examines how business interests, new technology, and economic theories shape privacy and intellectual property law and where those arguments explain productivity or where they fail to capture society\u0026#39;s interest in the free flow of information and development\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Thought leaders from higher-ed and industry will discuss the problems bias and lack of diversity cause and how we can improve our data sets, software, and institutions moving forward."}],"uid":"34773","created_gmt":"2020-10-28 19:42:52","changed_gmt":"2020-11-06 16:05:34","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-11-20T12:00:00-05:00","event_time_end":"2020-11-20T13:00:00-05:00","event_time_end_last":"2020-11-20T13:00:00-05:00","gmt_time_start":"2020-11-20 17:00:00","gmt_time_end":"2020-11-20 18:00:00","gmt_time_end_last":"2020-11-20 18:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"606703","name":"Constellations Center"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAllie McFadden\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"640407":{"#nid":"640407","#data":{"type":"event","title":"ML@GT Virtual Seminar: Towards High Precision Text Generation with Ankur Parikh, Google","body":[{"value":"\u003Cp\u003EAnkur Parikh is a senior research scientist at Google NYC and adjunct assistant professor at NYU will give a talk on November 11, 2020 at 12:15 pm ET. This is a virtual event and is open to all Georgia Tech students, faculty, staff, and interested members of the public.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003E\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/ekdzxjxs\u0022\u003EREGISTER HERE\u003C\/a\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;Towards High Precision Text Generation\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDespite large advances in neural text generation in terms of fluency, existing generation techniques are prone to hallucination and often produce output that is unfaithful or irrelevant to the source text. In this talk, we take a multi-faceted approach to this problem from 3 aspects: data, evaluation, and modeling.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFrom the data standpoint, we propose ToTTo, a tables-to-text-dataset with high quality annotator revised references that we hope can serve as a benchmark for high precision text generation task.\u0026nbsp;\u0026nbsp;While the dataset is challenging, existing n-gram based evaluation metrics are often insufficient to detect hallucinations. To this end, we propose BLEURT, a fully learnt end-to-end metric based on transfer learning that can quickly adapt to measure specific evaluation criteria. Finally, we propose a model based on confidence decoding to mitigate hallucinations.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECollaborators:\u0026nbsp;\u003C\/strong\u003EThis is joint work with Thibault Sellam, Ran Tian, Xuezhi Wang, Sebastian Gehrmann, Manaal Faruqui, Bhuwan Dhingra, Diyi Yang, and Dipanjan Das.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbout the author:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAnkur Parikh is a senior research scientist at Google NYC and adjunct assistant professor at NYU.\u0026nbsp;His\u0026nbsp;research interests are in natural language processing and machine learning with a recent focus on high precision text generation.\u0026nbsp;Ankur received his PhD from Carnegie Mellon in 2015 and has received a best paper runner up award at EMNLP 2014 and a best paper in translational bioinformatics at ISMB 2011.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"A seminar on Towards High Precision Text Generation with Ankur Parikh from Google"}],"uid":"34773","created_gmt":"2020-10-20 15:51:06","changed_gmt":"2020-10-20 15:58:31","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-11-11T12:15:00-05:00","event_time_end":"2020-11-11T13:15:00-05:00","event_time_end_last":"2020-11-11T13:15:00-05:00","gmt_time_start":"2020-11-11 17:15:00","gmt_time_end":"2020-11-11 18:15:00","gmt_time_end_last":"2020-11-11 18:15:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden | Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"637861":{"#nid":"637861","#data":{"type":"event","title":"ML@GT Virtual Seminar: Adriana Kovashka, University of Pittsburgh","body":[{"value":"\u003Cp\u003EAdriana Kovashka from the University of Pittsburgh will give a virtual seminar on Oct. 28 at 12:15 p.m. ET. This event is open to all Georgia Tech students, faculty, staff, and interested members of the public.\u003C\/p\u003E\r\n\r\n\u003Ch5\u003E\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/fzbpkbju\u0022\u003ERegister Here\u003C\/a\u003E\u003C\/h5\u003E\r\n\r\n\u003Ch3\u003E\u0026nbsp;\u003C\/h3\u003E\r\n\r\n\u003Ch3\u003EReasoning about Complex Media from Weak Multi-modal Supervision\u003C\/h3\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EIn a world of abundant information targeting multiple senses, and increasingly powerful media, we need new mechanisms to model content. Techniques for representing individual channels, such as visual data or textual data, have greatly improved, and some techniques exist to model the relationship between channels that are \u0026ldquo;mirror images\u0026rdquo; of each other and contain the same semantics. However, multimodal data in the real world contains little redundancy; the visual and textual channels \u003Cem\u003Ecomplement\u003C\/em\u003E each other. We examine the relationship between multiple channels in complex media, in two domains, advertisements and political articles.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFirst, we collect a large dataset of advertisements and public service announcements, covering almost forty topics (ranging from automobiles and clothing, to health and domestic violence). We pose decoding the ads as automatically answering the questions \u0026ldquo;\u003Cem\u003EWhat\u003C\/em\u003E should do viewer do, according to the ad\u0026rdquo; (the suggested \u003Cem\u003Eaction\u003C\/em\u003E), and \u0026ldquo;\u003Cem\u003EWhy\u003C\/em\u003E should the viewer do the suggested action, according to the ad\u0026rdquo; (the suggested \u003Cem\u003Ereason\u003C\/em\u003E). We train a variety of algorithms to choose the appropriate action-reason statement, given the ad image and potentially a slogan embedded in it. The task is challenging because of the great diversity in how different users annotate an ad, even if they draw similar conclusions. One approach mines information from external knowledge bases, but there is a plethora of information that can be retrieved yet is not relevant. We show how to automatically transform the training data in order to focus our approach\u0026rsquo;s attention to relevant facts, without relevance annotations for training. We also present an approach for learning to recognize new concepts given supervision only in the form of noisy captions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESecond, we collect a dataset of multimodal political articles containing lengthy text and a small number of images. We learn to predict the political bias of the article, as well as perform cross-modal retrieval despite large visual variability for the same topic. To infer political bias, we use generative modeling to show how the face of the same politician appears differently at each end of the political spectrum. To understand how image and text contribute to persuasion and bias, we learn to retrieve sentences for a given image, and vice versa. The task is challenging because unlike image-text in captioning, the images and text in political articles overlap in only a very abstract sense. We impose a loss requiring images that correspond to similar text to live closeby in a projection space, even if they appear very diverse purely visually. We show that our loss significantly improves performance in conjunction with a variety of existing recent losses. We also propose new weighting mechanisms to prioritize abstract image-text relationships during training.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EAdriana Kovashka is an Assistant Professor in Computer Science at the University of Pittsburgh. Her research interests are in computer vision and machine learning. She has authored eighteen publications in top-tier computer vision and artificial intelligence conferences and journals (CVPR, ICCV, ECCV, NeurIPS, AAAI, ACL, TPAMI, IJCV) and ten second-tier conference publications (BMVC, ACCV, WACV). She has served as an Area Chair for CVPR in 2018-2021, NeurIPS 2020, ICLR 2021, AAAI 2021, and will serve as co-Program Chair of ICCV 2025. She has been on program committees for over twenty conferences and journals, and has co-organized seven workshops. Her research is funded by the National Science Foundation, Google, Amazon and Adobe.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Adriana Kovashka from the University of Pittsburgh will give a virtual seminar."}],"uid":"34773","created_gmt":"2020-08-13 19:58:17","changed_gmt":"2020-10-08 13:26:03","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-10-28T13:15:00-04:00","event_time_end":"2020-10-28T14:15:00-04:00","event_time_end_last":"2020-10-28T14:15:00-04:00","gmt_time_start":"2020-10-28 17:15:00","gmt_time_end":"2020-10-28 18:15:00","gmt_time_end_last":"2020-10-28 18:15:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer | allie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"639875":{"#nid":"639875","#data":{"type":"event","title":"Anthem\u0027s Approach to Data \u0026 Visualization","body":[{"value":"\u003Cp\u003EJoin virtually:\u0026nbsp;\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/live-event\/vgagayxq\u0022\u003Ehttps:\/\/primetime.bluejeans.com\/a2m\/live-event\/vgagayxq\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Ch4\u003EAbstract\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EThe healthcare industry is rapidly evolving and this change is fueled by data. Now more than ever, data management ensures data-driven personalization for each individual patient. Learn how Anthem uses data to improve the lives of each of our patients. During this session, our team will discuss how data is ingested, processed, cleansed, managed, and visualized to improve healthcare for our communities.\u003C\/p\u003E\r\n\r\n\u003Ch4\u003ESpeakers\u003C\/h4\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESanjay Vishwakarma, Sr. Director Engineering\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESanjay Vishwakarma is the Engineering Senior Director for Data and Analytics Operations within Anthem. In this role, Sanjay architects complex solutions for Anthem\u0026rsquo;s Data Lake including: data ingestion, standardization, curation, and consumption in both onPrem and Cloud based implementations. Prior to joining Anthem, Sanjay served in enterprise architecture roles spanning several industries including healthcare, insurance, technology, and the financial industry.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EShannon Miles, Director\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EShannon Miles has over 23 years of data warehousing leadership with Anthem. Shannon has owned large-scale initiatives across all lines of business and multiple domains. In his current role, Shannon is the Director within the IT Program Integrity team. In this role, Shannon leads program integrity efforts utilizing multiple platforms including analytics based claims and provider analysis.\u003C\/p\u003E\r\n\r\n\u003Ch4\u003EHost\u0026nbsp;\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EPolo Chau\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAssociate Professor, CSE, College of Computing\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAssociate Director, MS Analytics\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDirector of Industry Relations, Institute for Data Engineering and Science (IDEaS)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAssociate Director of Corporate Relations, Center for Machine Learning (ML@GT)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:polo@gatech.edu\u0022\u003Epolo@gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/www.cc.gatech.edu\/~dchau\/\u0022\u003Ehttp:\/\/www.cc.gatech.edu\/~dchau\/\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The healthcare industry is rapidly evolving and this change is fueled by data. Now more than ever, data management ensures data-driven personalization for each individual patient. Learn how Anthem uses data to improve the lives of each of our patients. Du"}],"uid":"34773","created_gmt":"2020-10-02 20:25:36","changed_gmt":"2020-10-02 20:25:36","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-10-07T15:00:00-04:00","event_time_end":"2020-10-07T16:00:00-04:00","event_time_end_last":"2020-10-07T16:00:00-04:00","gmt_time_start":"2020-10-07 19:00:00","gmt_time_end":"2020-10-07 20:00:00","gmt_time_end_last":"2020-10-07 20:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EPolo Chau\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAssociate Professor, CSE, College of Computing\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAssociate Director, MS Analytics\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDirector of Industry Relations, Institute for Data Engineering and Science (IDEaS)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAssociate Director of Corporate Relations, Center for Machine Learning (ML@GT)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:polo@gatech.edu\u0022\u003Epolo@gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/www.cc.gatech.edu\/~dchau\/\u0022\u003Ehttp:\/\/www.cc.gatech.edu\/~dchau\/\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"639874":{"#nid":"639874","#data":{"type":"event","title":"Anthem\u0027s Approach to Data \u0026 Visualization","body":[{"value":"\u003Cp\u003EJoin virtually:\u0026nbsp;\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/live-event\/vgagayxq\u0022\u003Ehttps:\/\/primetime.bluejeans.com\/a2m\/live-event\/vgagayxq\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Ch4\u003EAbstract\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EThe healthcare industry is rapidly evolving and this change is fueled by data. Now more than ever, data management ensures data-driven personalization for each individual patient. Learn how Anthem uses data to improve the lives of each of our patients. During this session, our team will discuss how data is ingested, processed, cleansed, managed, and visualized to improve healthcare for our communities.\u003C\/p\u003E\r\n\r\n\u003Ch4\u003ESpeakers\u003C\/h4\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESanjay Vishwakarma, Sr. Director Engineering\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESanjay Vishwakarma is the Engineering Senior Director for Data and Analytics Operations within Anthem. In this role, Sanjay architects complex solutions for Anthem\u0026rsquo;s Data Lake including: data ingestion, standardization, curation, and consumption in both onPrem and Cloud based implementations. Prior to joining Anthem, Sanjay served in enterprise architecture roles spanning several industries including healthcare, insurance, technology, and the financial industry.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EShannon Miles, Director\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EShannon Miles has over 23 years of data warehousing leadership with Anthem. Shannon has owned large-scale initiatives across all lines of business and multiple domains. In his current role, Shannon is the Director within the IT Program Integrity team. In this role, Shannon leads program integrity efforts utilizing multiple platforms including analytics based claims and provider analysis.\u003C\/p\u003E\r\n\r\n\u003Ch4\u003EHost\u0026nbsp;\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EPolo Chau\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAssociate Professor, CSE, College of Computing\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAssociate Director, MS Analytics\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDirector of Industry Relations, Institute for Data Engineering and Science (IDEaS)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAssociate Director of Corporate Relations, Center for Machine Learning (ML@GT)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:polo@gatech.edu\u0022\u003Epolo@gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/www.cc.gatech.edu\/~dchau\/\u0022\u003Ehttp:\/\/www.cc.gatech.edu\/~dchau\/\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The healthcare industry is rapidly evolving and this change is fueled by data. Now more than ever, data management ensures data-driven personalization for each individual patient. Learn how Anthem uses data to improve the lives of each of our patients. Du"}],"uid":"34773","created_gmt":"2020-10-02 20:25:31","changed_gmt":"2020-10-02 20:25:31","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-10-07T15:00:00-04:00","event_time_end":"2020-10-07T16:00:00-04:00","event_time_end_last":"2020-10-07T16:00:00-04:00","gmt_time_start":"2020-10-07 19:00:00","gmt_time_end":"2020-10-07 20:00:00","gmt_time_end_last":"2020-10-07 20:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EPolo Chau\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAssociate Professor, CSE, College of Computing\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAssociate Director, MS Analytics\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDirector of Industry Relations, Institute for Data Engineering and Science (IDEaS)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAssociate Director of Corporate Relations, Center for Machine Learning (ML@GT)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:polo@gatech.edu\u0022\u003Epolo@gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/www.cc.gatech.edu\/~dchau\/\u0022\u003Ehttp:\/\/www.cc.gatech.edu\/~dchau\/\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"639661":{"#nid":"639661","#data":{"type":"event","title":"Applying Emerging Technologies In Service of Journalism at The New York Times","body":[{"value":"\u003Cp\u003EThe Machine Learning Center at Georgia Tech (ML@GT) and the University of California-Berkeley are\u0026nbsp;thrilled to welcome a group of engineers, creatives, and journalists from The New York Times\u0026#39; Research and Development team to discuss how the NYT applies emerging technology in service of journalism.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERegister:\u0026nbsp;\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/ppyhwquh\u0022\u003Ehttps:\/\/primetime.bluejeans.com\/a2m\/register\/ppyhwquh\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EThis event will take place on Friday, October 30 at 2\u0026nbsp;pm ET\/\/ 11 am PT.\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EEmerging technologies, particularly within computer vision, photogrammetry, and spatial computing, are unlocking new forms of storytelling for journalists to help people understand the world around them. In this talk, members of the R\u0026amp;D team at The New York Times talk about their process for researching and developing new capabilities built atop emerging research. In particular, hear how they are embracing photogrammetry and spatial computing to create new storytelling techniques that allow a reader to experience an event as close to reality as possible. Learn about the process of collecting photos, generating 3D models, editing, and technologies used to scale up to millions of readers. The team will also share their vision for these technologies and journalism, their ethical considerations along the way, and a research wishlist that would accelerate their work.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn its 169 year history, The New York Times has evolved with new technologies, publishing its \u003Ca href=\u0022https:\/\/www.nytimes.com\/2018\/11\/10\/reader-center\/past-tense-photos-history-morgue.html\u0022\u003Efirst photo in 1896\u003C\/a\u003E with the rise of cameras, introducing the world\u0026rsquo;s \u003Ca href=\u0022https:\/\/www.nytimes.com\/2019\/10\/01\/business\/media\/john-rothman-dead.html\u0022\u003Efirst computerized news retrieval system in 1972\u003C\/a\u003E with the rise of the computer, and \u003Ca href=\u0022https:\/\/timesmachine.nytimes.com\/timesmachine\/1996\/01\/22\/687588.html?pageNumber=49\u0026amp;zoom=16\u0026amp;smid=tw-nytarchives\u0026amp;smtyp=cur\u0022\u003Elaunching a website in 1996\u003C\/a\u003E with the rise of the internet. Since then, the pace of innovation has accelerated alongside the rise of smartphones, cellular networks, and other new technologies. The Times now has the world\u0026rsquo;s most popular daily podcast, a new weekly video series, and award-winning interactive graphics storytelling. Join us for a discussion about how our embrace of emerging technologies is helping us push the boundaries of journalism in 2020 and beyond.\u003C\/p\u003E\r\n\r\n\u003Ch4\u003ESpeakers:\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EMembers of The New York Times R\u0026amp;D Team, including:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\r\n\t\u003Cp\u003EMarc Lavallee, Executive Director, R\u0026amp;D\u003C\/p\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003E\r\n\t\u003Cp\u003EOr Fleisher, Sr. Engineer\u003C\/p\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003E\r\n\t\u003Cp\u003EMint Boonyapanachoti, Creative Technologist\u003C\/p\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003E\r\n\t\u003Cp\u003ELana Porter, Creative Director\u003C\/p\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003E\r\n\t\u003Cp\u003EMark McKeague, Technical Lead\u003C\/p\u003E\r\n\t\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch4\u003ETeam Bio:\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EThe \u003Ca href=\u0022https:\/\/rd.nytimes.com\/\u0022\u003ENew York Times Research and Development\u003C\/a\u003E team applies emerging technologies in service of our company\u0026rsquo;s mission to seek the truth and help people understand the world.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EUsing new technologies and formats, we develop technical capabilities for our newsroom and new forms of storytelling for our readers. As part of our method, we evaluate emerging trends in media and technology and forecast how they might play out over the next two to three years. Once we identify an opportunity, we dedicate a team to explore the space and develop products in collaboration with other parts of our organization.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWe\u0026#39;re a multidisciplinary team of journalists, creative technologists, designers, and engineers.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Members from the New York Times Research and Development team will discuss how NYT applies emerging technologies in journalism."}],"uid":"34773","created_gmt":"2020-09-28 19:37:46","changed_gmt":"2020-10-02 13:41:07","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-10-30T15:00:00-04:00","event_time_end":"2020-10-30T16:00:00-04:00","event_time_end_last":"2020-10-30T16:00:00-04:00","gmt_time_start":"2020-10-30 19:00:00","gmt_time_end":"2020-10-30 20:00:00","gmt_time_end_last":"2020-10-30 20:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"639660":{"id":"639660","type":"image","title":"Sand Banks capture","body":null,"created":"1601321292","gmt_created":"2020-09-28 19:28:12","changed":"1601321292","gmt_changed":"2020-09-28 19:28:12","alt":"","file":{"fid":"243192","name":"Sand Banks capture 1.jpeg","image_path":"\/sites\/default\/files\/images\/Sand%20Banks%20capture%201.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Sand%20Banks%20capture%201.jpeg","mime":"image\/jpeg","size":659360,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Sand%20Banks%20capture%201.jpeg?itok=Ull5lPQ3"}}},"media_ids":["639660"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"637836":{"#nid":"637836","#data":{"type":"event","title":"ML@GT Virtual Seminar: Robert Nowak, University of Wisconsin-Madison","body":[{"value":"\u003Ch2\u003EActive Learning: From Linear Classifiers to Overparameterized Neural Networks\u003C\/h2\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERobert Nowak will give a virtual seminar on October 7, 2020. Please check back soon for registration and talk details.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERegister:\u0026nbsp;\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/vzjxvxjh\u0022\u003Ehttps:\/\/primetime.bluejeans.com\/a2m\/register\/vzjxvxjh\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Ch4\u003EAbstract:\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EThe field of Machine Learning (ML) has advanced considerably in recent years, but mostly in well-defined domains using huge amounts of human-labeled training data. Machines can recognize objects in images and translate text, but they must be trained with more images and text than a person can see in nearly a lifetime.\u0026nbsp;\u0026nbsp;The computational complexity of training has been offset by recent technological advances, but the cost of training data is measured in terms of the human effort in labeling data. People are not getting faster nor cheaper, so generating labeled training datasets has become a major bottleneck in ML pipelines.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EActive ML aims to address this issue by designing learning algorithms that automatically and adaptively select the most informative examples for labeling so that human time is not wasted labeling irrelevant, redundant, or trivial examples. This talk explores the development of active ML theory and methods over the past decade, including a new approach applicable to kernel methods and neural networks, which views the learning problem through the lens of representer theorems. This perspective highlights the effect that adding a given training example has on the representation.\u0026nbsp;\u0026nbsp; The new approach is shown to possess a variety of desirable mathematical properties that allow active learning algorithms to learn good classifiers from few labeled examples.\u003C\/p\u003E\r\n\r\n\u003Ch4\u003EAbout Robert:\u003C\/h4\u003E\r\n\r\n\u003Cp\u003ENowak\u0026nbsp;holds the Nosbusch Professorship in Engineering at the University of Wisconsin-Madison, where his research focuses on signal processing, machine learning, optimization, and statistics.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Nowak will give a virtual seminar as a part of the ML@GT Seminar Series."}],"uid":"34773","created_gmt":"2020-08-13 15:25:38","changed_gmt":"2020-09-29 13:36:01","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-10-07T13:15:00-04:00","event_time_end":"2020-10-07T14:15:00-04:00","event_time_end_last":"2020-10-07T14:15:00-04:00","gmt_time_start":"2020-10-07 17:15:00","gmt_time_end":"2020-10-07 18:15:00","gmt_time_end_last":"2020-10-07 18:15:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"639351":{"#nid":"639351","#data":{"type":"event","title":"Through the looking glass: what NLP can reveal about sociolinguistic variation","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EJoin:\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/live-event\/adubzafx\u0022\u003E\u0026nbsp;https:\/\/primetime.bluejeans.com\/a2m\/live-event\/adubzafx\u003C\/a\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Ch4\u003E\u0026nbsp;\u003C\/h4\u003E\r\n\r\n\u003Ch4\u003EThrough the looking glass: what NLP can reveal about sociolinguistic variation\u003C\/h4\u003E\r\n\r\n\u003Ch4\u003E\u0026nbsp;\u003C\/h4\u003E\r\n\r\n\u003Ch4\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EPeople adapt their language use in different social contexts to meet communicative needs: a person may use the word \u0026lt;going\u0026gt; with colleagues and \u0026lt;goin\u0026#39;\u0026gt; with their close friends. Sociolinguistics researchers investigate the systematic variation in language use across different contexts to determine the social meaning of variation, such as how people change their word choices for different audiences. While traditional sociolinguistics investigates variation in spoken language, computational sociolinguistics relies on natural language processing and statistical methods to investigate written language in online discussions. This talk will explore how NLP can help isolate sociolinguistic phenomena that would otherwise go understudied in spoken contexts, and more broadly how NLP can help social science research.\u003C\/p\u003E\r\n\r\n\u003Ch4\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EIan Stewart is a Visiting Research Investigator with the\u0026nbsp;\u003Ca href=\u0022https:\/\/lit.eecs.umich.edu\/\u0022\u003ELIT Lab\u003C\/a\u003E\u0026nbsp;at the University of Michigan. Ian recently defended his thesis in the Human-Centered Computing PhD program at the Georgia Institute of Technology, and his research proposed computational approaches to understanding sociolinguistic variation on social media. Ian is currently interested in incorporating sociolinguistic insight into NLP models to address different speaker needs.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Ian Stewart will be talking about her work on NLP and sociolinguistic variation"}],"uid":"34773","created_gmt":"2020-09-21 17:36:42","changed_gmt":"2020-09-21 17:38:44","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-09-25T13:30:00-04:00","event_time_end":"2020-09-25T14:30:00-04:00","event_time_end_last":"2020-09-25T14:30:00-04:00","gmt_time_start":"2020-09-25 17:30:00","gmt_time_end":"2020-09-25 18:30:00","gmt_time_end_last":"2020-09-25 18:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJiaao Chen\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ejiaaochen@gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"637558":{"#nid":"637558","#data":{"type":"event","title":"ML@GT Virtual Seminar: Kazoo Sone and Pradyumna Narayana, Google","body":[{"value":"\u003Cp\u003EKazoo Sone and Pradyumna Narayana, software engineers at Google will give a virtual seminar on machine learning on September 23, 2020.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERegister at:\u0026nbsp;\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/rujhjqhe\u0022\u003Ehttps:\/\/primetime.bluejeans.com\/a2m\/register\/rujhjqhe\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Ch4\u003ETitle:\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EMachine Learning Challenges at Google Ads\u003C\/p\u003E\r\n\r\n\u003Ch4\u003EAbstract:\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EWhile we have made significant advances in the last two decades, serving the most relevant ads to our users is still a big challenge to date. In particular, commercial contents are full of images, videos in addition to textual information, and understanding our advertiser products and offers from their ad creatives and landing pages poses interesting multimodal modeling problems. In this talk, we will discuss a new multimodal task (\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/2006.08686.pdf\u0022 target=\u0022_blank\u0022\u003EMulti-Image Summarization\u003C\/a\u003E) and the associated dataset we are releasing. We will also talk about our \u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/1911.05978.pdf\u0022 target=\u0022_blank\u0022\u003Erecent work\u003C\/a\u003E which co-embeds text and image in a shared embedding space to improve a cross-modal retrieval task. Then we will share some challenges \u0026amp; experiences from quality improvements in Search Ads products.\u003C\/p\u003E\r\n\r\n\u003Ch4\u003EAbout Pradyumna\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EPradyumna Narayana is a software engineer for Google. He joined Google in 2018 and is conducting research at the intersection of computer vision and natural language processing for Search Ads. He earned his PhD in the area of Computer Vision from Colorado State University in 2018. His Ph.D work focused on Gesture recognition from videos using Deep Learning. Prior to that, he earned his MS from Colorado State University in 2015.\u003C\/p\u003E\r\n\r\n\u003Ch4\u003EAbout Kazoo\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EKazoo Sone is a software engineer for Google. Since he joined Google in 2011, he has led several machine learning \u0026amp; natural language processing projects for Search Ads and Research and contributed to many of Google\u0026rsquo;s Ads products. He earned his MS from Georgia Tech and Ph.D from Caltech.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Kazoo Sone, a software engineer at Google will give a virtual seminar on machine learning."}],"uid":"34773","created_gmt":"2020-08-05 21:35:52","changed_gmt":"2020-09-02 13:53:26","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-09-23T13:15:00-04:00","event_time_end":"2020-09-23T14:15:00-04:00","event_time_end_last":"2020-09-23T14:15:00-04:00","gmt_time_start":"2020-09-23 17:15:00","gmt_time_end":"2020-09-23 18:15:00","gmt_time_end_last":"2020-09-23 18:15:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"637557":{"#nid":"637557","#data":{"type":"event","title":"ML@GT Virtual Seminar: Byron Wallace, Northeastern University","body":[{"value":"\u003Cp\u003EByron Wallace, an assistant professor at Northeastern University will give a virtual seminar on September 9, 2020. This even is open to the public and will take place via Bluejeans Events (no download required.)\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERegister:\u0026nbsp;\u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/ghfqxrfr\u0022\u003Ehttps:\/\/primetime.bluejeans.com\/a2m\/register\/ghfqxrfr\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Ch3\u003ETitle\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EUsing rationales and influential training examples to (attempt to) explain neural predictions in NLP\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch3\u003EAbstract\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EModern deep learning models for natural language processing (NLP) achieve state-of-the-art predictive performance but are notoriously opaque. I will discuss recent work looking to address this limitation. I will focus specifically on approaches to: (i) Providing snippets of text (sometimes called \u0026quot;rationales\u0026quot;) that support predictions, and; (ii) Identifying examples from the training data that influenced a given model output.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch3\u003EAbout Byron\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EByron Wallace is an assistant professor in the Khoury College of Computer Sciences at Northeastern University. He earned his PhD from Tufts University in 2012, after which he taught at Brown University as research faculty. He joined Northeastern from the University of Texas at Austin, where he was an assistant professor in the School of Information from 2014-2016.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWallace\u0026rsquo;s research areas include artificial intelligence, data science, machine learning, natural language processing, and information retrieval, with emphasis on applications in health informatics. Byron is a member of the applied machine learning group and the Data Science and Analytics Lab at Northeastern.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWallace develops machine learning and natural language processing methods that make synthesizing the vast biomedical evidence-base more efficient. He also works on core machine learning and natural language processing methods, with his more of his recent work concerning Convolutional Neural Network (CNN) architectures for text. Wallace has recently been developing hybrid, interactive human\/machine learning systems that aim to robustly combine human and machine intelligence.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHis work has been supported by grants from the Army Research Office, the NIH, and the NSF. He won the Tufts University 2012 Outstanding Graduate Researcher award and his thesis work was recognized as\u0026nbsp;\u003Cem\u003EThe Runner Up\u0026nbsp;\u003C\/em\u003Efor the 2013 ACM Special Interest Group on Knowledge Discovery and Data Mining (SIG KDD) Dissertation Award. He recently co-authored the winning submission for the Health Care Data Analytics Challenge at the 2015 IEEE International Conference on Healthcare Informatics.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Byron Wallace, an assistant professor at Northeastern University will give a virtual seminar."}],"uid":"34773","created_gmt":"2020-08-05 21:33:25","changed_gmt":"2020-08-26 20:04:02","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-09-09T13:15:00-04:00","event_time_end":"2020-09-09T14:15:00-04:00","event_time_end_last":"2020-09-09T14:15:00-04:00","gmt_time_start":"2020-09-09 17:15:00","gmt_time_end":"2020-09-09 18:15:00","gmt_time_end_last":"2020-09-09 18:15:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"635992":{"#nid":"635992","#data":{"type":"event","title":"ML@GT Presents Using Machine Learning to Respond to Covid-19","body":[{"value":"\u003Cp\u003EIn the midst of a global pandemic, ML@GT researchers have worked on projects to respond to Covid-19. From creating digital tools used by Piedmont Healthcare to studying the psychological\u0026nbsp;impact of the disease, our researchers have been hard at work to help those suffering from the disease.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nJoin ML@GT\u0026nbsp;faculty members \u003Cstrong\u003ENicoleta Serban, Srijan Kumar, Aditya Prakash,\u0026nbsp;Munmun de Choudhury\u003C\/strong\u003E, and \u003Cstrong\u003EIrfan Essa\u003C\/strong\u003E\u0026nbsp;and OMSCS student \u003Cstrong\u003EKenneth Miller \u003C\/strong\u003Efor a panel discussion on their work in regards to Covid-19.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe event will virtually take place via Bluejeans Events and \u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/sfpbpsgg\u0022\u003Erequires registration\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch3\u003EAbout the Panelists:\u003C\/h3\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ENicoleta Serban\u003C\/strong\u003E\u0026nbsp;is the Virginia C. and Joseph C. Mello Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr.\u0026nbsp;Serban\u0026#39;s\u0026nbsp;most recent research\u0026nbsp;focuses\u0026nbsp;on model-based data mining for functional data,\u0026nbsp;spatio-temporal\u0026nbsp;data with applications to industrial economics with a focus on service distribution and\u0026nbsp;nonparametric statistical methods motivated by recent applications from proteomics and genomics.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EShe received her B.S. in Mathematics and an M.S. in Theoretical Statistics and Stochastic Processes from the University of Bucharest. She went on to earn her Ph.D. in Statistics at Carnegie Mellon University. \u003Ca href=\u0022http:\/\/rh.gatech.edu\/news\/634299\/digital-tool-helps-hospital-make-important-coronavirus-retest-decisions\u0022\u003E(Nicoleta\u0026#39;s Work)\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAditya Prakash \u003C\/strong\u003Erecently joined Georgia Tech as an associate professor in the School of Computational Science and Engineering. He has published one book, more than 80 papers in major venues, holds two U.S. patents and has given four tutorials at leading conferences. His work has received a best paper award and four best-of-conference selections. Tools developed by his group have been in use in many places including ORNL, Walmart and Facebook. His research interests include Data Science, Machine Learning and AI, with emphasis on big-data problems in large real-world networks and time-series. \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/635849\/forecasting-covid-19-pandemic-united-states\u0022\u003E(Aditya\u0026#39;s Work)\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EMunmun DeChoudhury\u003C\/strong\u003E is an associate professor in the School of Interactive Computing. She is affiliated with ML@GT, GVU Center, and IPaT. At Georgia Tech, she leads the Social Dynamics and Wellbeing Lab to study, analyze, and appropriate social media, responsibly and ethically to derive computational, large-scale data-driven insights, and to develop mechanisms and technologies for improving our well-being, particularly our mental health. Her research has been motivated by how the availability of large-scale online social data, with the amalgamation of advances in machine learning and grounding in human-centered approaches can help us answer fundamental questions relating to our social lives. \u003Ca href=\u0022http:\/\/ml.gatech.edu\/hg\/item\/635397\u0022\u003E(Munmun\u0026#39;s Work)\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESrijan Kumar \u003C\/strong\u003Eis an assistant professor in the School of Computational Science and Engineering. His research develops data science solutions to address the high-stakes challenges on the web and in the society. He has pioneered the development of user models and network science tools to enhance the well-being and safety of people. His research has been the subject of a documentary and has been recognized with best paper awards at WWW and ICDM. \u003Ca href=\u0022http:\/\/ml.gatech.edu\/hg\/item\/635397\u0022\u003E(Srijan\u0026#39;s Work)\u003C\/a\u003E\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/635858\/predicting-hate-crimes-targeting-asian-americans-amid-covid-19-outbreak\u0022\u003E(Srijan\u0026#39;s Work Part 2)\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EKenneth Miller \u003C\/strong\u003Eis a student in Georgia Tech\u0026rsquo;s Online Master\u0026rsquo;s of Computer Science (OMSCS) program. He is a partner at Erskine Law where he represents Ford Motor Company and cases in the field of mass toxic tort litigation. Miller is a 13-year veteran of the United States Navy. \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/635081\/omscs-student-uses-machine-learning-help-understand-covid-19\u0022\u003E(Kenneth\u0026#39;s Work)\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EIrfan Essa\u003C\/strong\u003E is the executive director of ML@GT and distinguished professor and senior associate dean in the School of Interactive Computing. Essa is also a senior staff research scientist at Google. His research focuses on computer vision, machine learning, computer graphics, computational perception, robotics, computer animation, and social computing. Essa is a IEEE Fellow and has published over 200 scholarly articles with several winning best paper awards.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"A panel featuring ML@GT faculty members and their work in response to Covid-19."}],"uid":"34773","created_gmt":"2020-06-05 17:43:54","changed_gmt":"2020-06-15 16:04:57","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-06-24T12:00:00-04:00","event_time_end":"2020-06-24T13:15:00-04:00","event_time_end_last":"2020-06-24T13:15:00-04:00","gmt_time_start":"2020-06-24 16:00:00","gmt_time_end":"2020-06-24 17:15:00","gmt_time_end_last":"2020-06-24 17:15:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"634573":{"#nid":"634573","#data":{"type":"event","title":"Virtual Spring 2020 Dean\u0027s New Graduate Alumni Celebration ","body":[{"value":"\u003Cp\u003ECongratulations! You are about to earn your graduate degree from Georgia Tech, and we want to honor your achievement and help you celebrate!\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPlease join us for a virtual Dean\u0026#39;s New Graduate Alumni Celebration, to\u0026nbsp;be held Tuesday, May 19 at 2\u0026nbsp;p.m. EST on \u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/eqkhqfzc\u0022\u003EBlueJeans\u003C\/a\u003E**\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EIf you are a student, please create your profile\u0026nbsp;no later than\u0026nbsp;Tuesday, May 5\u0026nbsp;by 12\u0026nbsp;p.m. EST\u0026nbsp;on the \u003Ca href=\u0022https:\/\/gatech.marchingorder.com\/#\/\u0022\u003EMarching Order website \u003C\/a\u003Eto be included in the slideshow during the program. \u003C\/strong\u003EIf not, no\u0026nbsp;profile needs to be created, just simply register and tune into the \u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/twkwheew\u0022\u003EBlueJeans link\u003C\/a\u003E or refer to our website at a later date.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E**This ceremony will be live streamed \u003Ca href=\u0022https:\/\/primetime.bluejeans.com\/a2m\/register\/eqkhqfzc\u0022\u003EHERE\u003C\/a\u003E and will also be housed on our website a week after the ceremony. If you use closed captioning, there will be a link for this when you enter the live event on BlueJeans.\u0026nbsp;\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Virtual Spring 2020 Dean\u0027s New Graduate Alumni Celebration"}],"uid":"28150","created_gmt":"2020-04-20 19:55:08","changed_gmt":"2020-05-15 18:40:44","author":"Birney Robert","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-05-19T15:00:00-04:00","event_time_end":"2020-05-19T16:00:00-04:00","event_time_end_last":"2020-05-19T16:00:00-04:00","gmt_time_start":"2020-05-19 19:00:00","gmt_time_end":"2020-05-19 20:00:00","gmt_time_end_last":"2020-05-19 20:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"634572":{"id":"634572","type":"image","title":"Spring 2020 Dean\u0027s New Graduate Alumni Celebration - Virtual","body":null,"created":"1587411200","gmt_created":"2020-04-20 19:33:20","changed":"1588095172","gmt_changed":"2020-04-28 17:32:52","alt":"","file":{"fid":"241579","name":"DNGAC_Spr20 mailchimp hero.v3.jpg","image_path":"\/sites\/default\/files\/images\/DNGAC_Spr20%20mailchimp%20hero.v3.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/DNGAC_Spr20%20mailchimp%20hero.v3.jpg","mime":"image\/jpeg","size":372791,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/DNGAC_Spr20%20mailchimp%20hero.v3.jpg?itok=fdw6pkuL"}}},"media_ids":["634572"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBirney Robert\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ebrobert@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"634200":{"#nid":"634200","#data":{"type":"event","title":"SCS Recruiting Seminar: Ashia Wilson","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EVariational Perspectives on Machine Learning: Algorithms, Inference, and Fairness\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMachine learning plays a key role in shaping the decisions made by a growing number of institutions. This talk will share variational perspectives on aspects of inference, algorithms and fairness. On the topic of algorithms, I will present a variational framework on a classical family of convex optimization algorithm called accelerated gradient algorithms and demonstrate how it leads to simpler, faster gradient-based algorithms and generalizations of existing acceleration frameworks. On the topic of inference, I will present a variational framework for developing computationally e\u0026yuml;cient approximations of cross-validation and show how it provides fast and reliable estimates of out-of-sample performance for many machine learning models. On the topic of fairness, I will present a variational model for reasoning about the long-term impacts of using machine learning models to allocate scarce resources and opportunities to people, such as employment and educational decisions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAshia Wilson is a postdoctoral researcher in the Machine Learning Group at Microsoft Research, New England. She received undergraduate degrees in applied mathematics and philosophy from Harvard University in 2011. She received her doctorate in atatistics from the University of California, Berkeley in 2018 advised by Benjamin Recht and Michael I. Jordan. Her research interests are in providing rigorous guarantees for algorithmic performance and developing frameworks for studying issues of fairness and governance in machine learning.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Variational Perspectives on Machine Learning: Algorithms, Inference, and Fairness"}],"uid":"34541","created_gmt":"2020-04-08 23:18:29","changed_gmt":"2020-04-08 23:19:39","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-04-16T12:00:00-04:00","event_time_end":"2020-04-16T13:00:00-04:00","event_time_end_last":"2020-04-16T13:00:00-04:00","gmt_time_start":"2020-04-16 16:00:00","gmt_time_end":"2020-04-16 17:00:00","gmt_time_end_last":"2020-04-16 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"634201":{"id":"634201","type":"image","title":"Ashia Wilson","body":null,"created":"1586387954","gmt_created":"2020-04-08 23:19:14","changed":"1586387954","gmt_changed":"2020-04-08 23:19:14","alt":"Ashia Wilson","file":{"fid":"241334","name":"bio-photo.jpg","image_path":"\/sites\/default\/files\/images\/bio-photo_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/bio-photo_0.jpg","mime":"image\/jpeg","size":28371,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/bio-photo_0.jpg?itok=3DtvS9_b"}}},"media_ids":["634201"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"634022":{"#nid":"634022","#data":{"type":"event","title":"SCS Recruiting Seminar: Vatsal Sharan","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EModern Perspectives on Classical Learning Problems: Role of Memory and Data Amplification\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis talk will discuss statistical and computation requirements \u0026mdash; and how they interact \u0026mdash; for three learning setups. In the first part, we inspect the role of memory in learning. We study how the total memory available to a learning algorithm affects the amount of data needed for learning (or optimization), beginning by considering the fundamental problem of linear regression. Next, we examine the role of long-term memory vs. short-term memory for the task of predicting the next observation in a sequence given the past observations. Finally, we explore the statistical requirements for the task of manufacturing more data \u0026mdash; namely how to generate a larger set of samples from an unknown distribution. Can \u0026ldquo;amplifying\u0026rdquo; a dataset be easier than learning?\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EVatsal Sharan is a Ph.D. student at Stanford, advised by Greg Valiant. He is a part of the Theory group and the Statistical Machine Learning group, and his primary interests are in the theory and practice of machine learning.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Modern Perspectives on Classical Learning Problems: Role of Memory and Data Amplification"}],"uid":"34541","created_gmt":"2020-04-02 20:44:43","changed_gmt":"2020-04-02 20:46:07","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-04-09T12:00:00-04:00","event_time_end":"2020-04-09T13:00:00-04:00","event_time_end_last":"2020-04-09T13:00:00-04:00","gmt_time_start":"2020-04-09 16:00:00","gmt_time_end":"2020-04-09 17:00:00","gmt_time_end_last":"2020-04-09 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"634023":{"id":"634023","type":"image","title":"Vatsal Sharan","body":null,"created":"1585860337","gmt_created":"2020-04-02 20:45:37","changed":"1585860337","gmt_changed":"2020-04-02 20:45:37","alt":"Vatsal","file":{"fid":"241249","name":"vatsal_picture.jpg","image_path":"\/sites\/default\/files\/images\/vatsal_picture.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/vatsal_picture.jpg","mime":"image\/jpeg","size":306354,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/vatsal_picture.jpg?itok=cxX-g5Ih"}}},"media_ids":["634023"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"633994":{"#nid":"633994","#data":{"type":"event","title":"SCS Recruiting Seminar: Sara Achour","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003ENew Compilation Techniques for Reconfigurable Analog Devices\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EReconfigurable analog devices are a powerful new computing substrate especially appropriate for executing dynamical systems in an energy efficient manner. These devices leverage the physical behavior of transistors to directly implement computation. Under this paradigm, voltages and currents within the device implement continuously evolving variables in the computation.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this talk, I discuss compilation techniques for automatically configuring such devices to execute dynamical systems. I present Legno, the first compilation system that automatically targets a real reconfigurable analog device of this class. Legno synthesizes analog circuits from parametric and specialized analog blocks and accounts for analog noise, quantization error, operating range limitations, and manufacturing variations within the device. I evaluate Legno on applications from the biology, physics, and controls domains. The results demonstrate that these applications execute with acceptable error while consuming microjoules of energy.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESara Achour is a Ph.D. candidate at the Computer Science and Artificial Intelligence Laboratory at Massachusetts Institute of Technology (CSAIL MIT) and a NSF Fellowship recipient. Her research focuses on new techniques and tools, specifically new programming languages, compilers, and runtime systems that enable end users to easily develop computations that exploit the potential of emerging nontraditional computing platforms.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"New Compilation Techniques for Reconfigurable Analog Devices"}],"uid":"34541","created_gmt":"2020-04-01 21:56:20","changed_gmt":"2020-04-01 21:57:09","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-04-21T12:00:00-04:00","event_time_end":"2020-04-21T13:00:00-04:00","event_time_end_last":"2020-04-21T13:00:00-04:00","gmt_time_start":"2020-04-21 16:00:00","gmt_time_end":"2020-04-21 17:00:00","gmt_time_end_last":"2020-04-21 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"633995":{"id":"633995","type":"image","title":"Sarah Achour","body":null,"created":"1585778211","gmt_created":"2020-04-01 21:56:51","changed":"1585778211","gmt_changed":"2020-04-01 21:56:51","alt":"Sara Achour","file":{"fid":"241237","name":"saraha.png","image_path":"\/sites\/default\/files\/images\/saraha.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/saraha.png","mime":"image\/png","size":385312,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/saraha.png?itok=WZpR1rZ-"}}},"media_ids":["633995"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"633963":{"#nid":"633963","#data":{"type":"event","title":"SCS Recruiting Seminar: Ming Liu","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EBuilding Distributed Systems Using Programmable Networks\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe continuing increase of data center network bandwidth, coupled with a slower improvement in CPU performance, has challenged our conventional wisdom regarding data center networks: how to build distributed systems that can keep up with the network speeds and are high-performant and energy-efficient? The recent emergence of a programmable network fabric (PNF) suggests a potential solution. By offloading suitable computations to a PNF device (i.e., SmartNIC, reconfigurable switch, or network accelerator), one can reduce request serving latency, save end-host CPU cores, and enable efficient traffic control.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this talk, I will present two frameworks for building PNF-enabled distributed systems: (1) IncBricks, an in-network caching fabric built with network accelerators and programmable switches; (2) iPipe, an actor-based framework for offloading distributed applications\u003Cbr \/\u003E\r\n\u0026nbsp;on SmartNICs. I will show how to make efficient use of in-network heterogeneous computing resources by applying approximation techniques, co-designing with end-host software layers, employing new programming abstractions, and designing efficient control-\/data-planes. Finally, I will discuss how to use PNF to re-architect other data center systems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMing Liu is a Ph.D. candidate in the Paul G. Allen School of Computer Science \u0026amp; Engineering at the University of Washington, advised by Arvind Krishnamurthy, Luis Ceze, and Simon Peter. His research interests are in computer systems and networks, with a focus on optimizing distributed systems by exploring the computing capabilities across the programmable network fabric (including SmartNICs, reconfigurable switches, and network accelerators).\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Building Distributed Systems Using Programmable Networks"}],"uid":"34541","created_gmt":"2020-04-01 01:21:52","changed_gmt":"2020-04-01 21:52:36","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-04-14T12:00:00-04:00","event_time_end":"2020-04-14T13:00:00-04:00","event_time_end_last":"2020-04-14T13:00:00-04:00","gmt_time_start":"2020-04-14 16:00:00","gmt_time_end":"2020-04-14 17:00:00","gmt_time_end_last":"2020-04-14 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"633964":{"id":"633964","type":"image","title":"Ming Liu","body":null,"created":"1585704263","gmt_created":"2020-04-01 01:24:23","changed":"1585704263","gmt_changed":"2020-04-01 01:24:23","alt":"Ming Liu","file":{"fid":"241231","name":"mgliu.jpg","image_path":"\/sites\/default\/files\/images\/mgliu.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/mgliu.jpg","mime":"image\/jpeg","size":6202364,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/mgliu.jpg?itok=KyPHG9as"}}},"media_ids":["633964"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"633943":{"#nid":"633943","#data":{"type":"event","title":"SCS Recruiting Seminar: Lei Cao","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EToward an End-to-end Anomaly Discovery System\u003C\/em\u003E\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAnomaly detection is critical in enterprises, with applications including financial fraud,\u0026nbsp; defending network intrusions, and detecting imminent device failures. Although previously research has proposed a variety of stand-alone methods for detecting particular types of anomalies, there is no end-to-end solution for data scientists to effectively discover anomalies over large volumes of varied data. To build such a system, several critical challenges have to be solved: How to determine which among many alternative anomaly detection algorithms is the best for a given task and to find the proper parameter settings? How to leverage a small amount of end-user feedback to improve the anomaly extraction process? How to best present the anomaly detection results such that users do not have to evaluate the potentially large number of anomaly candidates one by one?\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis talk will present our solution, called ADS, that solves all above problems. ADS supports all stages of anomaly discovery by seamlessly integrating anomaly-related services within one integrated platform. It enables tuning-free anomaly detection, anomaly summarization and explanation services, and the ability to integrate user-feedback into the discovery process.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELei Cao is a postdoctoral associate at the Computer Science and Artificial Intelligence Laboratory of MIT since November 2016, working with Professors Samuel Madden and Michael Stonebraker. Before that, he worked for IBM T.J. Watson Research Center as a research staff member. He received his Ph.D. in computer science from Worcester Polytechnic Institute, supervised by Professor Elke Rundensteiner. He has conducted research in the broad areas of data sicence and systems ranging from the low-level core database performance optimization to designing the high level, application specific machine learning techniques. His recent research falls in the emerging area of systems for AI and AI for systems, focused on designing scalable algorithms and systems for the data scientists to effectively yet efficiently explore and discover knowledge from heterogeneous data sources \u0026mdash; especially anomalies.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Toward an End-to-end Anomaly Discovery System  "}],"uid":"34541","created_gmt":"2020-03-31 17:11:50","changed_gmt":"2020-03-31 17:32:30","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-04-07T12:00:00-04:00","event_time_end":"2020-04-07T13:00:00-04:00","event_time_end_last":"2020-04-07T13:00:00-04:00","gmt_time_start":"2020-04-07 16:00:00","gmt_time_end":"2020-04-07 17:00:00","gmt_time_end_last":"2020-04-07 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"633946":{"id":"633946","type":"image","title":"Lei Cao","body":null,"created":"1585675583","gmt_created":"2020-03-31 17:26:23","changed":"1585675583","gmt_changed":"2020-03-31 17:26:23","alt":"Lei Cao","file":{"fid":"241217","name":"leicao.jpg","image_path":"\/sites\/default\/files\/images\/leicao.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/leicao.jpg","mime":"image\/jpeg","size":14155,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/leicao.jpg?itok=e02CbCN6"}}},"media_ids":["633946"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"633011":{"#nid":"633011","#data":{"type":"event","title":"SCS Seminar Talk: Shi Li","body":[{"value":"\u003Cp\u003ETITLE:\u0026nbsp; \u003Cem\u003ELeveraging Fundamental Algorithmic Techniques on Modern Applications\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003EThe fast growth of data has placed many new challenges to algorithm designers. Many datasets unavoidably contain noise, outliers, and errors, which can dramatically influence the performance of computations. This necessitates algorithms that are robust against the inconsistencies. Due to their large volumes, many datasets are stored across different servers in a cluster. It is desirable that the algorithms are not only fast but also communication efficient. The computational tasks of an algorithm may be dependent of each other and thus good scheduling decisions are crucial in its performance. In this talk, I will present some of my recent results on many types of fundamental problems rooted in these applications, such as clustering with outliers, scheduling, and network design. I will highlight how fundamental algorithmic techniques from mathematical programming and combinatorial optimization can be leveraged to address these challenges.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003EShi Li is an assistant professor in the department of computer science and engineering at University at Buffalo. He obtained his Ph.D in 2014 from the department of computer science at Princeton university. \u0026nbsp;Before joining University at Buffalo in 2015, he spent two years in Toyota Technological Institute at Chicago as a research assistant professor. \u0026nbsp;His primary research interest is in the design of algorithms with provable guarantee for problems arising in modern applications under various computation models.\u0026nbsp;\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003EDr. Li is a recipient of an NSF Early Career Award, a Computer and Information Science and Engineering (CISE) Research Initiation Initiative (CRII) award, University at Buffalo Exceptional Scholars \u0026ndash; Young Investigator Award, School of Engineering Early Career Researcher Award, Department of Computer Science and Engineering Early Career Teaching Award, and Early Career Researcher Award. He was also a recipient of the best paper award in FOCS 2012, the best student paper award in ICALP 2011, and a gold medal winner of International Olympiad in Informatics in 2004.\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"  Leveraging Fundamental Algorithmic Techniques on Modern Applications"}],"uid":"34541","created_gmt":"2020-02-26 22:13:06","changed_gmt":"2020-03-31 15:05:34","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-03-31T12:00:00-04:00","event_time_end":"2020-03-31T13:00:00-04:00","event_time_end_last":"2020-03-31T13:00:00-04:00","gmt_time_start":"2020-03-31 16:00:00","gmt_time_end":"2020-03-31 17:00:00","gmt_time_end_last":"2020-03-31 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"633012":{"id":"633012","type":"image","title":"Shi Li","body":null,"created":"1582755218","gmt_created":"2020-02-26 22:13:38","changed":"1582755218","gmt_changed":"2020-02-26 22:13:38","alt":"Shi Li","file":{"fid":"240862","name":"Unknown-1.jpeg","image_path":"\/sites\/default\/files\/images\/Unknown-1_7.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Unknown-1_7.jpeg","mime":"image\/jpeg","size":93679,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Unknown-1_7.jpeg?itok=9lbV7D6-"}}},"media_ids":["633012"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"633808":{"#nid":"633808","#data":{"type":"event","title":"SCS Recruiting Seminar: Brandon Haynes","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EVideo Data Management for the Real World\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe proliferation of cameras deployed throughout our world is enabling and accelerating exciting new applications, such as virtual and augmented reality, autonomous driving, drone analytics, and smart infrastructure. However, because cameras produce large volumes of content-rich data, application development remains tedious. In this talk, I describe several video data management systems designed to simplify application development and optimize execution. By exposing declarative interfaces, these systems automatically produce efficient execution strategies that include leveraging heterogeneous hardware, operating directly on the compressed representation of video data, and improving video storage performance.\u0026nbsp; Through these systems, we show that the application of fundamental data management principles to this space vastly improves performance while greatly decreasing application development complexity.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;Brandon Haynes is a Ph.D. candidate in the Paul G. Allen School of Computer Science at the University of Washington, where he is advised by Magdalena Balazinska and Alvin Cheung.\u0026nbsp; His research interests focus on designing and building data management systems that address the needs of new and emerging application domains.\u0026nbsp; His recent work has focused on video analytics and video data management, focusing especially on areas with extremely large data sizes (e.g., VR\/AR and large-scale multi-camera networks) and new application areas (e.g., deep learning).\u0026nbsp; His research has been supported in part by a University of Washington fellowship and the UW Reality Lab.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Video Data Management for the Real World"}],"uid":"34541","created_gmt":"2020-03-24 22:23:56","changed_gmt":"2020-03-24 22:25:30","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-04-02T12:00:00-04:00","event_time_end":"2020-04-02T13:00:00-04:00","event_time_end_last":"2020-04-02T13:00:00-04:00","gmt_time_start":"2020-04-02 16:00:00","gmt_time_end":"2020-04-02 17:00:00","gmt_time_end_last":"2020-04-02 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"633809":{"id":"633809","type":"image","title":"Brandon Haynes","body":null,"created":"1585088696","gmt_created":"2020-03-24 22:24:56","changed":"1585088696","gmt_changed":"2020-03-24 22:24:56","alt":"Brandon Haynes","file":{"fid":"241167","name":"brandon.png","image_path":"\/sites\/default\/files\/images\/brandon.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/brandon.png","mime":"image\/png","size":264800,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/brandon.png?itok=8E6G1mYA"}}},"media_ids":["633809"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"633476":{"#nid":"633476","#data":{"type":"event","title":"SCS Recruiting Seminar: Wenting Zheng","body":[{"value":"\u003Cp\u003E\u003Ca href=\u0022https:\/\/bluejeans.com\/198610704?src=join_info\u0022\u003EJoin the talk here.\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETITLE: \u003Cem\u003ESharing without Showing: Building Secure Collaborative Systems\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003EIn many domains, such as finance and medicine, organizations have encountered obstacles in data acquisition because their target applications need sensitive data that reside across multiple parties. However, such data cannot be shared today due to data privacy concerns, policy regulation, and business competition.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMy graduate research focused on solving this problem by enabling organizations to run complex computations on the joint dataset without revealing their sensitive input to the other parties. My overall approach is to co-design systems with cryptography to build practical and functional systems that provide strong and provable security. In this talk, I will focus on two systems \u0026mdash; Opaque and Helen \u0026mdash; which secure SQL analytics and machine learning, respectively. My open source has been used by organizations such as IBM Research, Ericsson, Alibaba, and Microsoft.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWenting Zheng is a Ph.D. candidate at UC Berkeley, co-advised by Raluca Ada Popa and Ion Stoica. She completed her bachelor\u0026rsquo;s and master of engineering at MIT, where she was advised by Barbara Liskov. Her research interests are in computer systems, security, and applied cryptography. She is the recipient of a Berkeley Fellowship from 2014-2016, an IBM Research fellowship from 2017-2018, and was an invited participant at the 2019 EECS Rising Stars workshop.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Sharing without Showing: Building Secure Collaborative Systems"}],"uid":"34541","created_gmt":"2020-03-10 21:14:28","changed_gmt":"2020-03-18 18:51:23","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-03-24T12:00:00-04:00","event_time_end":"2020-03-24T13:00:00-04:00","event_time_end_last":"2020-03-24T13:00:00-04:00","gmt_time_start":"2020-03-24 16:00:00","gmt_time_end":"2020-03-24 17:00:00","gmt_time_end_last":"2020-03-24 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"633477":{"id":"633477","type":"image","title":"Wenting Zheng","body":null,"created":"1583874914","gmt_created":"2020-03-10 21:15:14","changed":"1583874914","gmt_changed":"2020-03-10 21:15:14","alt":"Wenting Zheng","file":{"fid":"241042","name":"dare.jpg","image_path":"\/sites\/default\/files\/images\/dare.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/dare.jpg","mime":"image\/jpeg","size":398381,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/dare.jpg?itok=8k7yumc0"}}},"media_ids":["633477"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto: tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"630580":{"#nid":"630580","#data":{"type":"event","title":"*CANCELLED* ML@GT Seminar: Byron Wallace, Northeastern University","body":[{"value":"\u003Cp\u003EThe Machine Learning Center at Georgia Tech invites you to a seminar by Byron Wallace, an assistant professor at Northeastern University.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSfhv9dNcVYbFdq0Eel710ofvCxVux8jVVG0wX2TXgLQk3_17w\/viewform?usp=sf_link\u0022\u003ERSVP Here\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETalk Title\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECheck back soon for updated information\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAbstract\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECheck back soon for updated information\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBio\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECheck back soon for updated information\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The Machine Learning Center at Georgia Tech invites you to a seminar by Byron Wallace, an assistant professor at Northeastern University."}],"uid":"34773","created_gmt":"2020-01-06 17:50:15","changed_gmt":"2020-03-18 13:45:11","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-04-15T13:15:00-04:00","event_time_end":"2020-04-15T14:15:00-04:00","event_time_end_last":"2020-04-15T14:15:00-04:00","gmt_time_start":"2020-04-15 17:15:00","gmt_time_end":"2020-04-15 18:15:00","gmt_time_end_last":"2020-04-15 18:15:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"630579":{"id":"630579","type":"image","title":"Byron Wallace is an assistant professor at Northeastern University.","body":null,"created":"1578332991","gmt_created":"2020-01-06 17:49:51","changed":"1578332991","gmt_changed":"2020-01-06 17:49:51","alt":"Byron Wallace","file":{"fid":"240074","name":"byron.jpg","image_path":"\/sites\/default\/files\/images\/byron.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/byron.jpg","mime":"image\/jpeg","size":72687,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/byron.jpg?itok=OC27SU7Q"}}},"media_ids":["630579"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKyla Hanson\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ekhanson@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"633575":{"#nid":"633575","#data":{"type":"event","title":"*CANCELLED* ML@GT and CSE Joint Seminar: Dan Roth, University of Pennsylvania ","body":[{"value":"\u003Cp\u003EML@GT and the School of Computational Science and Engineering invite you to a seminar by Dan Roth, Eduardo D. Glandt Distinguished Professor at the Department of Computer and Information Science at the University of Pennsylvania.\u003C\/p\u003E\r\n\r\n\u003Ch4\u003ETalk Title\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EIt\u0026#39;s Time to Reason\u003C\/p\u003E\r\n\r\n\u003Ch4\u003ETalk Abstract\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EThe fundamental issue underlying natural language understanding is that of semantics \u0026ndash; there is a need to move toward understanding natural language at an appropriate level of abstraction in order to support natural language understanding and communication.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMachine Learning has become ubiquitous in our attempt to induce semantic representations of natural language and support decisions that depend on it; however, while we have made significant progress over the last few years, it has focused on classification tasks for which we have large amounts of annotated data. Supporting high-level decisions that depend on natural language understanding is still beyond our capabilities, partly since most of these tasks are very sparse and generating supervision signals for these tasks does not scale.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI will discuss some of the challenges underlying reasoning \u0026ndash; making natural language understanding decisions that depend on multiple, interdependent, models, and exemplify it using the domain of Reasoning about Time, as it is expressed in natural language.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch4\u003EBio\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EDan Roth is the Eduardo D. Glandt Distinguished Professor at the Department of Computer and Information Science, University of Pennsylvania, and a Fellow of the AAAS, the ACM, AAAI, and the ACL.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn 2017 Roth was awarded the John McCarthy Award, the highest award the AI community gives to mid-career AI researchers. Roth was recognized \u0026ldquo;for major conceptual and theoretical advances in the modeling of natural language understanding, machine learning, and reasoning.\u0026rdquo;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERoth has published broadly in machine learning, natural language processing, knowledge representation and reasoning, and learning theory, and has developed advanced machine learning-based tools for natural language applications that are being used widely. Until February 2017 Roth was the Editor-in-Chief of the Journal of Artificial Intelligence Research (JAIR).\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERoth is a co-founder and the chief scientist of NexLP, Inc., a startup that leverages the latest advances in Natural Language Processing (NLP), Cognitive Analytics, and Machine Learning in the legal and compliance domains.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EProf. Roth received his B.A Summa cum laude in Mathematics from the Technion, Israel, and his Ph.D. in Computer Science from Harvard University in 1995.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"ML@GT and the School of Computational Science and Engineering invite you to a seminar by Dan Roth, Eduardo D. Glandt Distinguished Professor at the Department of Computer and Information Science at the University of Pennsylvania."}],"uid":"34773","created_gmt":"2020-03-12 18:49:49","changed_gmt":"2020-03-18 13:42:34","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-04-14T12:00:00-04:00","event_time_end":"2020-04-14T13:00:00-04:00","event_time_end_last":"2020-04-14T13:00:00-04:00","gmt_time_start":"2020-04-14 16:00:00","gmt_time_end":"2020-04-14 17:00:00","gmt_time_end_last":"2020-04-14 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"633574":{"id":"633574","type":"image","title":"Dan Roth, University of Pennsylvania","body":null,"created":"1584038968","gmt_created":"2020-03-12 18:49:28","changed":"1584038968","gmt_changed":"2020-03-12 18:49:28","alt":"Dan Roth","file":{"fid":"241083","name":"Dan Roth-PennEng_03-04-20.jpg","image_path":"\/sites\/default\/files\/images\/Dan%20Roth-PennEng_03-04-20.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Dan%20Roth-PennEng_03-04-20.jpg","mime":"image\/jpeg","size":389681,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Dan%20Roth-PennEng_03-04-20.jpg?itok=2NprEM2p"}}},"media_ids":["633574"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAnna Stroup-Holladay\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eastroup@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"633040":{"#nid":"633040","#data":{"type":"event","title":"*CANCELLED* ML@GT Seminar: Elad Hazan, Princeton University","body":[{"value":"\u003Cp\u003EML@GT invites you to a seminar by Elad Hazan from Princeton University.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSfpB4Jzqw83oZYx-JOtDbE7dm1Xiwp96LvqUWAGbZmbPEOnmg\/viewform?usp=sf_link\u0022\u003ERSVP here\u003C\/a\u003E by April 17.\u003C\/p\u003E\r\n\r\n\u003Ch4\u003ETalk Title\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EThe Non-Stochastic Control Problem\u003C\/p\u003E\r\n\r\n\u003Ch4\u003EAbstract\u003C\/h4\u003E\r\n\r\n\u003Cp\u003ELinear dynamical systems are a continuous subclass of reinforcement learning models that are widely used in robotics, finance, engineering, and meteorology. Classical\u0026nbsp;control, since the work of Kalman, has focused on dynamics with Gaussian i.i.d. noise, quadratic loss functions and, in terms of provably efficient algorithms, known statespace realization and observed state. We\u0026#39;ll discuss how to apply new machine learning methods which relax all of the above: efficient\u0026nbsp;control\u0026nbsp;with adversarial noise, general loss functions, unknown systems, and partial observation.\u003C\/p\u003E\r\n\r\n\u003Ch4\u003EBio\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EElad Hazan is a professor of computer science at Princeton University. His research focuses on the design and analysis of algorithms for basic problems in machine learning and optimization. Amongst his contributions are the co-development of the AdaGrad optimization algorithm, and the first sublinear-time algorithms for convex optimization. He is the recipient of the Bell Labs prize, (twice) the IBM Goldberg best paper award in 2012 and 2008, a European Research Council grant, a Marie Curie fellowship and Google Research Award (twice). He served on the steering committee of the Association for Computational Learning and has been program chair for COLT 2015. In 2017 he co-founded In8 inc. focusing on efficient optimization and control, acquired by Google in 2018. He is the co-founder and director of Google AI Princeton.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nResearch interests: Control and Reinforcement Learning, Optimization for Machine Learning, Online Convex Optimization. More details and links to the relevant papers are\u0026nbsp;\u003Ca href=\u0022https:\/\/minimizingregret.wordpress.com\/research\/\u0022\u003Ein this page\u003C\/a\u003E.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"ML@GT invites you to a seminar by Elad Hazan from Princeton University."}],"uid":"34773","created_gmt":"2020-02-27 15:45:30","changed_gmt":"2020-03-13 15:40:01","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-04-20T14:00:00-04:00","event_time_end":"2020-04-20T15:00:00-04:00","event_time_end_last":"2020-04-20T15:00:00-04:00","gmt_time_start":"2020-04-20 18:00:00","gmt_time_end":"2020-04-20 19:00:00","gmt_time_end_last":"2020-04-20 19:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKyla Hanson\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ekhanson@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"633268":{"#nid":"633268","#data":{"type":"event","title":"*POSTPONED* ML@GT and ISyE Joint Seminar: Warren B. Powell, Princeton University","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003E**This event has been postponed**\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EML@GT and ISyE invite you to a seminar by Warren B. Powell, professor of operations research and financial engineering at Princeton University.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor scheduling information, please contact\u0026nbsp;Anton Kleywegt at\u0026nbsp;\u003Ca href=\u0022mailto:anton.kleywegt@isye.gatech.edu\u0022\u003Eanton.kleywegt@isye.gatech.edu\u003C\/a\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch4\u003ETitle\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EFrom Reinforcement Learning to Stochastic Optimization: A Universal Framework for Sequential Decision Analytics\u003C\/p\u003E\r\n\r\n\u003Ch4\u003EAbstract\u003C\/h4\u003E\r\n\r\n\u003Cp\u003ESequential decisions are an almost universal problem class, spanning dynamic resource allocation problems, control problems, discrete graph problems, active learning problems, as well as two-agent games and multiagent problems.\u0026nbsp; Application settings span engineering, the sciences, transportation, health services, medical decision making, energy, e-commerce and finance.\u0026nbsp; A rich problem class involves systems that must actively learn about the environment, possibly via drones or robots.\u0026nbsp; In multi-agent systems, we may need to learn about the behavior of other agents.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese problems have been addressed in the academic literature using a variety of modeling and algorithmic frameworks, including dynamic programming, stochastic programming, stochastic control, simulation optimization, approximate dynamic programming\/reinforcement learning, and even multiarmed bandit problems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI will describe a universal modeling framework that can be used for \u003Cem\u003Eany\u003C\/em\u003E sequential decision problem in the presence of different sources of uncertainty.\u0026nbsp; The framework is centered on an optimization problem that optimizes over policies (rules for making decisions), where we show that there are two fundamental strategies for designing policies (policy search and policies based on lookahead approximations), each of which further divide into two classes, creating four (meta)classes of policies that are the foundation of \u003Cem\u003Eany\u003C\/em\u003E solution approach that has ever been proposed for a sequential problem.\u0026nbsp; I will demonstrate these policies in two broad contexts: pure learning problems (\u0026ldquo;bandit problems\u0026rdquo;) and dynamic resource allocation problems, where I will use a simple energy storage problem to show that each of the four classes (and a hybrid) can be made to work best.\u003C\/p\u003E\r\n\r\n\u003Ch4\u003EBio\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EWarren Powell is a faculty member in the Department of Operations Research and Financial Engineering at Princeton University where he has taught since 1981. In 1990, he founded\u0026nbsp;\u003Ca href=\u0022http:\/\/www.castlelab.princeton.edu\/\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022\u003ECASTLE Laboratory\u003C\/a\u003E\u0026nbsp;which spans research in computational stochastic optimization with applications initially in transportation and logistics. In 2011, he founded the\u0026nbsp;\u003Ca href=\u0022http:\/\/energysystems.princeton.edu\/\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022\u003EPrinceton laboratory for ENergy Systems Analysis (PENSA)\u003C\/a\u003E\u0026nbsp;to tackle the rich array of problems in energy systems analysis. In 2013, this morphed into \u0026ldquo;CASTLE Labs,\u0026rdquo; focusing on computational stochastic optimization and learning.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn the 1980\u0026rsquo;s, he designed and wrote\u0026nbsp;\u003Ca href=\u0022http:\/\/castlelab.princeton.edu\/Papers\/Braklow%20Graham%20et%20al%20%20Interactive%20Optimization%20Improves%20Service%20at%20Yellow.pdf\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022\u003ESYSNET\u003C\/a\u003E, an interactive optimization model for load planning at Yellow Freight System, where it is still in use after 25 years. In 1988, he founded the Princeton Transportation Consulting Group which marketed the model as\u0026nbsp;\u003Ca href=\u0022https:\/\/castlelab.princeton.edu\/superspin\/\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022\u003ESuperSPIN\u003C\/a\u003E, which was adopted by the entire less-than-truckload industry, stabilizing an industry where 80 percent of the companies went bankupt in the first post-deregulation decade.\u0026nbsp;\u003Ca href=\u0022https:\/\/castlelab.princeton.edu\/superspin\/\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022\u003ESuperSPIN\u003C\/a\u003E\u0026nbsp;was used in the planning of American Freightways (which became FedEx Freight), Roadway Package System (which became FedEx Ground), and Overnight Transportation (which became UPS Freight). SuperSPIN stabilized the LTL trucking industry in the 1990\u0026rsquo;s, following its deregulation in 1980.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlso in the 1980\u0026rsquo;s he developed a series of models for truckload trucking, starting with\u0026nbsp;\u003Ca href=\u0022http:\/\/castlelab.princeton.edu\/Papers\/Powell-OperationalPlanningModelforDVA.pdf\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022\u003ELoadMAP\u003C\/a\u003E\u0026nbsp;(written by Ken Nickerson \u0026rsquo;84), which then evolved to an integrated stochastic model for driver assignment called\u0026nbsp;\u003Ca href=\u0022https:\/\/castlelab.princeton.edu\/micromap\/\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022\u003EMicroMAP\u003C\/a\u003E\u0026nbsp;(the senior thesis of David Cape \u0026rsquo;87). As of 2011, MicroMAP was being used to dispatch over 66,000 drivers for 20 of the largest truckload carriers in the U.S.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHe has started three consulting firms: Princeton Transportation Consulting Group (1988),\u0026nbsp; Transport Dynamics (1995), and Optimal Dynamics (2016) (CEO is his son Daniel Powell), but he has continued to do his developmental work through CASTLE Laboratory at Princeton University, where he has worked with the leading companies in less-than-truckload trucking (Yellow Freight System\/YRC), parcel shipping (United Parcel Service), truckload trucking (Schneider National), rail (primarily Norfolk Southern Railway), air (Netjets and Embraer), as well as the Air Mobility Command. As he moved into energy, he has worked with PJM Interconnections (the grid operator for the mid-Atlantic states), and PSE\u0026amp;G (the utility that serves 75 percent of New Jersey).\u0026nbsp;\u003Ca href=\u0022https:\/\/castlelab.princeton.edu\/impact-on-industry\/\u0022\u003EClick here for a complete list.\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMotivated by these applications, he developed a method for bridging dynamic programming with math programming to solve very high-dimensional stochastic, dynamic programs using the modeling and algorithmic framework of\u0026nbsp;\u003Ca href=\u0022http:\/\/adp.princeton.edu\/\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022\u003Eapproximate dynamic programming\u003C\/a\u003E. This work has been used in a variety of applications including\u0026nbsp;\u003Ca href=\u0022https:\/\/castlelab.princeton.edu\/wagner\/\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022\u003Efleet management at Schneider National\u003C\/a\u003E\u0026nbsp;(50,000 variables per time period, and a state variable with 10^{20}\u0026nbsp;\u003Cem\u003Edimensions\u003C\/em\u003E), the\u0026nbsp;\u003Ca href=\u0022http:\/\/castlelab.princeton.edu\/Papers\/Powell-SMART_JOC_2011.pdf\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022\u003ESMART energy resource planning model\u003C\/a\u003E\u0026nbsp;(175,000 time periods), and\u0026nbsp;\u003Ca href=\u0022https:\/\/castlelab.princeton.edu\/plasma\/\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022\u003Elocomotive optimization at Norfolk Southern\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHe identified four fundamental classes of policies for solving sequential decision problems, integrating fields such as stochastic programming, dynamic programming (including approximate dynamic programming\/reinforcement learning), robust optimization, optimal control and stochastic search (to name a few). This work identified a new class of policy called a\u0026nbsp;\u003Cem\u003Eparametric cost function approximation\u0026nbsp;\u003C\/em\u003E(\u003Ca href=\u0022https:\/\/castlelab.princeton.edu\/jungle\/\u0022\u003Eclick here for more information\u003C\/a\u003E).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHis work in industry is balanced by contributions to the\u0026nbsp;\u003Ca href=\u0022https:\/\/castlelab.princeton.edu\/castle-lab-theory\/\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022\u003Etheory of stochastic optimization, and machine learning.\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPrizes and awards \u0026ndash; Recipient\u0026nbsp;\u003Cem\u003EDocteur Honoris Causa\u003C\/em\u003E\u0026nbsp;from the University of Quebec in Montreal in 2013. Winner,\u0026nbsp;\u003Ca href=\u0022https:\/\/castlelab.princeton.edu\/wagner\/\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022\u003EDaniel Wagner Prize\u003C\/a\u003E\u0026nbsp;for extending approximate dynamic programming to very high-dimensional problems for Schneider National. Best Paper Prize from the Society for Transportation Science and Logistics (once for this problem, and once for our ADP model for locomotive management at Norfolk Southern). His students have won many awards (Dantzig Prize for best dissertation in Operations Research, several winners of the Transportation Science dissertation prize, Doing Good with Good OR Competition honorable mention, Nicholson Prize finalist). Finalist in the prestigious Edelman competition in 1987 and 1991. Informs Fellows Award, Presidential Young Investigator Award.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBooks: He is the author of\u0026nbsp;\u003Ca href=\u0022http:\/\/adp.princeton.edu\/\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022\u003EApproximate Dynamic Programming: Solving the curses of dimensionality\u003C\/a\u003E\u0026nbsp;and co-author (with Ilya Ryzhov) of\u0026nbsp;\u003Ca href=\u0022http:\/\/optimallearning.princeton.edu\/\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022\u003EOptimal Learning\u003C\/a\u003E\u0026nbsp;(both published by Wiley). Co-editor (with J. Si, A. Barto, and D. Wunsch)\u0026nbsp;\u003Cem\u003ELearning and Approximate Dynamic Programming: Scaling up to the Real World.\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJust the numbers: $50+ million in research funding (in 2020 dollars), 250+ refereed papers, two books (plus an edited volume), ~60 Ph.D. students and post-docs (~30 in academia and research laboratories), 10 Masters, 200+ undergraduate senior theses,\u0026nbsp;\u003Ca href=\u0022http:\/\/scholar.google.com\/citations?user=vDw80QEAAAAJ\u0026amp;hl=en\u0022\u003Eh-number (on Google) of 65, 18,000+ citations,\u003C\/a\u003E\u0026nbsp;36,000+ visitors per year to my websites, 7,000+ connections on LinkedIn (some miniscule number on Facebook)\u0026hellip; (let me know if you can think of any more).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHe has served in numerous leadership and service roles, including President of the Transportation Science Section, Informs board of directors, director of several NSF workshops, Area Editor for transportation at Operations Research (8 years), and numerous prize, review and service committees. In 1991 he co-founded the triennial conference TRISTAN, now the leading international conference for transportation systems analysis. In 2003 he designed the Informs Impact Prize and served as the first chair in 2004.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"ML@GT and ISyE invite you to a seminar by Warren B. Powell, professor of operations research and financial engineering at Princeton University."}],"uid":"34773","created_gmt":"2020-03-04 14:15:22","changed_gmt":"2020-03-13 13:06:04","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-04-02T14:00:00-04:00","event_time_end":"2020-04-02T15:30:00-04:00","event_time_end_last":"2020-04-02T15:30:00-04:00","gmt_time_start":"2020-04-02 18:00:00","gmt_time_end":"2020-04-02 19:30:00","gmt_time_end_last":"2020-04-02 19:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKyla Hanson\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ekhanson@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"630891":{"#nid":"630891","#data":{"type":"event","title":"*POSTPONED* ML@GT Seminar: Pradyumna Narayana and Kazoo Sone, Google","body":[{"value":"\u003Cp\u003EThis event has been postponed until Fall 2020.\u0026nbsp;Please check back for new information soon.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"ML@GT invites you to a seminar by Pradyumna Narayana and Kazoo Sone from Google"}],"uid":"34773","created_gmt":"2020-01-10 17:06:57","changed_gmt":"2020-03-12 15:44:41","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-04-01T13:15:00-04:00","event_time_end":"2020-04-01T14:15:00-04:00","event_time_end_last":"2020-04-01T14:15:00-04:00","gmt_time_start":"2020-04-01 17:15:00","gmt_time_end":"2020-04-01 18:15:00","gmt_time_end_last":"2020-04-01 18:15:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKyla Hanson\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ekhanson@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"633401":{"#nid":"633401","#data":{"type":"event","title":"SCS Recruiting Seminar: Simon S. Du","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EFoundations of Learning Systems with (Deep) Function Approximators\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFunction approximators, such as deep neural networks, play a crucial role in building learning systems that make predictions and decisions. In this talk, I will discuss my work on understanding, designing, and applying function approximators.\u003C\/p\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003EFirst, I will focus on understanding deep neural networks. The main result is that the over-parameterized neural network is equivalent to a new kernel, Neural Tangent Kernel. This equivalence implies two surprising phenomena: 1) the simple algorithm gradient descent provably finds the global optimum of the highly non-convex empirical risk, and 2) the learned neural network generalizes well despite being highly over-parameterized. Furthermore, this equivalence helps us design a new class of function approximators: we transform (fully-connected and graph) neural networks to (fully-connected and graph) Neural Tangent Kernels, which achieve superior performance on standard benchmarks.\u0026nbsp;\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003EIn the second part of the talk, I will focus on applying function approximators to decision-making, aka reinforcement learning, problems. In sharp contrast to the (simpler) supervised prediction problems, solving reinforcement learning problems requires an exponential number of samples, even if one applies function approximators. \u0026nbsp;I will then discuss what additional structures that permit statistically efficient algorithms.\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESimon S. Du is a postdoc at the Institute for Advanced Study of Princeton, hosted by Sanjeev Arora. He completed his Ph.D. in machine learning at Carnegie Mellon University, where he was co-advised by Aarti Singh and Barnab\u0026aacute;s P\u0026oacute;czos. Previously, he studied EECS and EMS at UC Berkeley. He has also spent time at Simons Institute and research labs of Facebook, Google, and Microsoft. His research interests are broadly in machine learning, with a focus on the foundations of deep learning and reinforcement learning.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Foundations of Learning Systems with (Deep) Function Approximators"}],"uid":"34541","created_gmt":"2020-03-09 16:02:52","changed_gmt":"2020-03-09 16:09:59","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-03-26T12:00:00-04:00","event_time_end":"2020-03-26T13:00:00-04:00","event_time_end_last":"2020-03-26T13:00:00-04:00","gmt_time_start":"2020-03-26 16:00:00","gmt_time_end":"2020-03-26 17:00:00","gmt_time_end_last":"2020-03-26 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"633402":{"id":"633402","type":"image","title":"Simon S. Du","body":null,"created":"1583770160","gmt_created":"2020-03-09 16:09:20","changed":"1583770160","gmt_changed":"2020-03-09 16:09:20","alt":"Simon S. Du","file":{"fid":"241008","name":"image001.jpg","image_path":"\/sites\/default\/files\/images\/image001_15.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/image001_15.jpg","mime":"image\/jpeg","size":173512,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/image001_15.jpg?itok=SBp3B1zv"}}},"media_ids":["633402"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"633267":{"#nid":"633267","#data":{"type":"event","title":"Building the Future: Fireside Chat with Dean Charles Isbell","body":[{"value":"\u003Cp\u003EThis event is hosted by the College of Computing Student Council, features Charles Isbell (Dean of Computing\/The John P. Imlay Jr. Chair), and is open for attendance by Georgia Tech students.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDean Isbell will share his vision for shaping the future of the college he is leading, insights he has gained from connecting with alumni around the country, and thoughts on the student community. The event has an open Q\u0026amp;A from the audience as well.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELunch will be provided. RSVPs at:\u0026nbsp;\u003Ca href=\u0022https:\/\/forms.gle\/9psszSSdmbcKE1hi7\u0022\u003Ehttps:\/\/forms.gle\/9psszSSdmbcKE1hi7\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe College of Computing Student Council is a student-led organization that works closely with the administration of Computing and students to establish a direct communication channel between them, enabling students to help shape the future of the college.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cem\u003EDean Isbell will share his vision for shaping the future of the college he is leading, insights he has gained from connecting with alumni around the country, and thoughts on the student community. The event has an open Q\u0026amp;A from the audience as well.\u003C\/em\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"This event is hosted by the College of Computing Student Council and is open to Georgia Tech students."}],"uid":"34773","created_gmt":"2020-03-04 14:07:49","changed_gmt":"2020-03-04 14:08:13","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-03-10T12:00:00-04:00","event_time_end":"2020-03-10T13:00:00-04:00","event_time_end_last":"2020-03-10T13:00:00-04:00","gmt_time_start":"2020-03-10 16:00:00","gmt_time_end":"2020-03-10 17:00:00","gmt_time_end_last":"2020-03-10 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"622870":{"id":"622870","type":"image","title":"Charles Isbell, John P. Imlay Jr. Dean of Computing","body":null,"created":"1561986445","gmt_created":"2019-07-01 13:07:25","changed":"1561986445","gmt_changed":"2019-07-01 13:07:25","alt":"Charles Isbell John P Imlay Jr Dean of Computing","file":{"fid":"237213","name":"Charles Isbell_John P Imlay Jr Dean of Computing_July2019.jpg","image_path":"\/sites\/default\/files\/images\/Charles%20Isbell_John%20P%20Imlay%20Jr%20Dean%20of%20Computing_July2019.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Charles%20Isbell_John%20P%20Imlay%20Jr%20Dean%20of%20Computing_July2019.jpg","mime":"image\/jpeg","size":1278786,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Charles%20Isbell_John%20P%20Imlay%20Jr%20Dean%20of%20Computing_July2019.jpg?itok=1-mm0kB3"}}},"media_ids":["622870"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"606703","name":"Constellations Center"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1791","name":"Student sponsored"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ERiya Agrawal\u003Cbr \/\u003E\r\n\u003Ca href=\u0022mailto:ragrawal45@gatech.edu\u0022\u003Eragrawal45@gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"633025":{"#nid":"633025","#data":{"type":"event","title":"SCS Seminar Talk: Steven Wu","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EMachine Learning Meets Societal Values\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe vast collection of detailed personal data has enabled machine learning to have a tremendous impact on society. Algorithms now provide predictions and insights that are used to make or inform consequential decisions on people. Concerns have been raised that our heavy reliance on personal data and machine learning might compromise people\u0026rsquo;s privacy, produce new forms of discrimination, and violate other kinds of social norms. My research seeks to address this emerging tension between machine learning and society by focusing on two interconnected questions: 1) how to make machine learning better aligned with societal values, especially privacy and fairness, and 2) how to make machine learning methods more reliable and robust in social and economic dynamics. In this talk, I will provide an overview of my research and highlight some of my recent work on fairness in machine learning and differentially private synthetic data generation.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESteven Wu is an assistant professor of computer science and engineering at the University of Minnesota. His research interests are in algorithms and machine learning, with a focus on privacy-preserving data analysis, algorithmic fairness, and algorithmic economics. From 2017 to 2018, he was a post-doc researcher at Microsoft Research-New York City in the machine learning and algorithmic economics groups. In 2017, he received his Ph.D. in computer science under the supervision of Michael Kearns and Aaron Roth at the University of Pennsylvania, where his doctoral dissertation received Penn\u0026rsquo;s Morris and Dorothy Rubinoff Award for best thesis. His research is supported by an Amazon Research Award, a Facebook Research Award, a Mozilla research grant, a Google Faculty Research Award, a J.P. Morgan Research Faculty Award, and the National Science Foundation.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Machine Learning Meets Societal Values"}],"uid":"34541","created_gmt":"2020-02-27 04:50:55","changed_gmt":"2020-02-27 20:54:58","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-03-12T12:00:00-04:00","event_time_end":"2020-03-12T13:00:00-04:00","event_time_end_last":"2020-03-12T13:00:00-04:00","gmt_time_start":"2020-03-12 16:00:00","gmt_time_end":"2020-03-12 17:00:00","gmt_time_end_last":"2020-03-12 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"633024":{"id":"633024","type":"image","title":"Steven Wu","body":null,"created":"1582778780","gmt_created":"2020-02-27 04:46:20","changed":"1582778780","gmt_changed":"2020-02-27 04:46:20","alt":"Steven Wu","file":{"fid":"240874","name":"image.png","image_path":"\/sites\/default\/files\/images\/image_3.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/image_3.png","mime":"image\/png","size":1451098,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/image_3.png?itok=l1LU3qTO"}}},"media_ids":["633024"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"633022":{"#nid":"633022","#data":{"type":"event","title":"SCS Recruiting Seminar: Shweta Shinde","body":[{"value":"\u003Cp\u003ETITLE: Better Foundations for Secure Software: Minimize Trust and Verify It\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESoftware systems are ever-growing in size and complexity while being rife with vulnerabilities. Patches and defenses are continuously deployed, but the software attack surface is extremely large and attackers invariably find ways to gain a persistent foothold. An effective way to end the arms race between vulnerabilities and defense tools is by isolating the software using trusted hardware. With such isolation, what is the least amount of code that needs to be bug-free to securely run user applications? At the moment, even after using trusted hardware, this number can be upwards of a few million lines of code. Can we do any better?\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nIn this talk, I present two key results from my work that shows a foundational approach to safeguard applications against large and potentially buggy software. First, I present a principled way of using hardware isolation to securely execute Linux applications while only trusting a few thousand lines of code.\u0026nbsp;This system has been adopted by two startups. Second, I show the feasibility of full formal verification of the trusted code by proving guarantees over a large-subset, such as the file system interface. Overall, these implementations point to a new way of executing secure applications with a thousand lines of trusted and verified code. Finally, I will summarize my long-term vision for building the next generation of better, trusted, and verified secure hardware and software designs.\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EShweta Shinde is a postdoctoral scholar at UC Berkeley. Her research is broadly at the intersection of trusted computing, system security, program analysis, and formal verification. Her work has been published at top venues in security (IEEE S\u0026amp;P, CCS, Usenix Security, NDSS), programming languages (PLDI), and software engineering (FSE). Her research has been commercialized at three start-ups and has led to a direct impact at various companies. Shweta received her Ph.D. from the National University of Singapore in 2018, where she was awarded the Dean\u0026rsquo;s Graduate Research Excellence.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Better Foundations for Secure Software: Minimize Trust and Verify It "}],"uid":"34541","created_gmt":"2020-02-27 04:26:10","changed_gmt":"2020-02-27 20:54:11","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-03-10T12:00:00-04:00","event_time_end":"2020-03-10T13:00:00-04:00","event_time_end_last":"2020-03-10T13:00:00-04:00","gmt_time_start":"2020-03-10 16:00:00","gmt_time_end":"2020-03-10 17:00:00","gmt_time_end_last":"2020-03-10 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"633023":{"id":"633023","type":"image","title":"Shweta Shinde","body":null,"created":"1582777628","gmt_created":"2020-02-27 04:27:08","changed":"1582777628","gmt_changed":"2020-02-27 04:27:08","alt":"Shweta Shinde","file":{"fid":"240873","name":"shweta.jpg","image_path":"\/sites\/default\/files\/images\/shweta.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/shweta.jpg","mime":"image\/jpeg","size":385321,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/shweta.jpg?itok=HPOp2Mso"}}},"media_ids":["633023"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"632956":{"#nid":"632956","#data":{"type":"event","title":"SCS Recruiting Seminar: Yuliang Li","body":[{"value":"\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETITLE: \u003Cem\u003ERevisiting Network Transport in Evolving Datacenters\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDatacenters are evolving quickly with more diversified applications, more hardware accelerators, and new architectures. They pose significant challenges on existing network transport layers because they generate heavier and more dynamic traffic while requiring even more extreme transport performance. The transport layer is also pressured from the other side \u0026mdash; the physical network, which also evolves towards larger scales and higher speed. To meet the stringent requirements, today operators often spend months on diagnosing transport anomalies and tuning transport features; this labor-intensive process will be worse with future datacenter evolutions. In this talk, I will show how to fundamentally change transport designs to adapt to the rapid evolutions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo simplify diagnosing existing transport (i.e., TCP) in large scale networks, I design DETER, which can deterministically replay problematic TCP connections using lightweight information recorded during the runtime. The key challenge is to overcome the chain reaction between TCP and the network that completely deviates the replay. DETER isolates each connection\u0026rsquo;s replay by capturing its interactions with applications and the network. DETER is very lightweight and can help diagnose many transport problems in large systems (e.g., Spark).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGoing forward, transport protocols start to be offloaded to hardware for ultra-low latency and high bandwidth (e.g., RDMA). To unleash the raw hardware performance at scale, I design HPCC, a new high-speed transport that utilizes new capabilities of switches and NICs. Unlike existing protocols which use heuristics, HPCC precisely calculates the traffic rate that fully utilizes the bandwidth with near-zero queuing. It achieves this with precise modeling of hardware nature, driven by the link load measurement from programmable switches. HPCC has been deployed in Alibaba Cloud and supported by most switch and NIC vendors (e.g., Broadcom, Cisco, Mellanox).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EYuliang Li is a Ph.D. candidate in computer science at Harvard. He is advised by Professor Minlan Yu. His research focuses on improving datacenter network performance and availability by leveraging the opportunity of co-designing diverse hardware or software components. Prior to Harvard, he received his bachelor\u0026rsquo;s degree from Tsinghua University. He is a recipient of Siebel Scholar.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Revisiting Network Transport in Evolving Datacenters"}],"uid":"34541","created_gmt":"2020-02-25 20:54:06","changed_gmt":"2020-02-27 20:53:20","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-03-02T11:00:00-05:00","event_time_end":"2020-03-02T12:00:00-05:00","event_time_end_last":"2020-03-02T12:00:00-05:00","gmt_time_start":"2020-03-02 16:00:00","gmt_time_end":"2020-03-02 17:00:00","gmt_time_end_last":"2020-03-02 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"632958":{"id":"632958","type":"image","title":"Yuliang Li","body":null,"created":"1582664450","gmt_created":"2020-02-25 21:00:50","changed":"1582664450","gmt_changed":"2020-02-25 21:00:50","alt":"Yuliang Li","file":{"fid":"240837","name":"Unknown-1.png","image_path":"\/sites\/default\/files\/images\/Unknown-1_2.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Unknown-1_2.png","mime":"image\/png","size":123010,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Unknown-1_2.png?itok=7AbD0r_L"}}},"media_ids":["632958"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"630874":{"#nid":"630874","#data":{"type":"event","title":"ML@GT Seminar: Daniel Russo, Columbia University","body":[{"value":"\u003Cp\u003EML@GT invites you to a seminar by Daniel Russo, an assistant professor at Columbia Business School.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLScO_LcGzGuE8reXCZ8v03hknbkweLf20TQ-H5VggfFK0LKB4w\/viewform\u0022\u003ERSVP here\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Ch3\u003ETalk Title\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EGlobal Optimality Guarantees for Policy Gradient Methods\u003C\/p\u003E\r\n\r\n\u003Ch3\u003EAbstract\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EPolicy gradients methods are perhaps the most widely used class of reinforcement learning algorithms.\u0026nbsp; These methods apply to complex, poorly understood, control problems by performing stochastic gradient descent over a parameterized class of polices. Unfortunately, due to the multi-period nature of the objective, policy gradient algorithms face non-convex optimization problems and can get stuck in suboptimal local minima even for extremely simple problems. This talk with discus structural properties \u0026ndash; shared by several canonical control problems \u0026ndash; that guarantee the policy gradient objective function has no suboptimal stationary points despite being non-convex. Time permitting, I\u0026rsquo;ll also discuss (1) convergence rates that follow as a consequence of this theory and (2) consequences of this theory for policy gradient performed with highly expressive policy classes.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E* This talk is based on ongoing joint work with Jalaj Bhandari.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003EBio\u003C\/h3\u003E\r\n\r\n\u003Cp\u003ERusso joined the\u0026nbsp;\u003Ca href=\u0022https:\/\/www8.gsb.columbia.edu\/faculty-research\/divisions\/decision-risk-operations\u0022\u003EDecision, Risk, and Operations division\u003C\/a\u003E\u0026nbsp;of the Columbia Business School as an assistant professor in Summer 2017. Prior to joining Columbia, he\u0026nbsp;spent one great year as an assistant professor in the MEDS department at Northwestern\u0026#39;s Kellogg School of Management and one year at Microsoft Research in New England as Postdoctoral Researcher. Russo recieved his\u0026nbsp;Ph.D. from Stanford University in 2015, where he\u0026nbsp;was advised by\u0026nbsp;\u003Ca href=\u0022http:\/\/engineering.stanford.edu\/profile\/bvr\u0022\u003EBenjamin Van Roy\u003C\/a\u003E. In 2011 Russo recieved his\u0026nbsp;\u0026nbsp;BS in Mathematics and Economics from the University of Michigan.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERusso\u0026#39;s research lies at the intersection of statistical machine learning and sequential decision-making, and contributes to the fields of online optimization, reinforcement learning, and sequential design of experiments. He is\u0026nbsp;interested in the design and analysis of algorithms that learn over time to make increasingly effective decisions through interacting with a poorly understood environment.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"ML@GT invites you to a seminar by Daniel Russo, an assistant professor at Columbia University\u0027s business school. "}],"uid":"34773","created_gmt":"2020-01-10 15:21:49","changed_gmt":"2020-02-27 15:47:38","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-03-11T13:15:00-04:00","event_time_end":"2020-03-11T14:15:00-04:00","event_time_end_last":"2020-03-11T14:15:00-04:00","gmt_time_start":"2020-03-11 17:15:00","gmt_time_end":"2020-03-11 18:15:00","gmt_time_end_last":"2020-03-11 18:15:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKyla Hanson\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ekhanson@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"632655":{"#nid":"632655","#data":{"type":"event","title":"SCS Recruiting Seminar: Rediet Abebe","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EDesigning Algorithms for Social Good\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlgorithmic and artificial intelligence techniques show immense potential to deepen our understanding of socioeconomic inequality and inform interventions designed to improve access to opportunity. Interventions aimed at historically under-served communities are made particularly challenging by the fact that disadvantage and inequality are multifaceted, notoriously difficult to measure, and reinforced by feedback loops in underlying structures.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this talk, we develop and analyze algorithmic and computational techniques to address these issues through two types of interventions: one in the form of allocating scarce societal resources and another in the form of improving access to information. We examine the ways in which techniques from algorithms, discrete optimization, and network and computational science can combat different forms of disadvantage, including susceptibility to income shocks, disparities in access to health information, and social segregation. We discuss current policy and practice informed by this work and close with a discussion of an emerging research area --\u003Ca href=\u0022http:\/\/md4sg.com\/\u0022\u003E\u003Cem\u003E\u0026nbsp;\u003C\/em\u003EMechanism Design for Social Good\u003C\/a\u003E\u003Cem\u003E\u0026nbsp;\u003C\/em\u003E(MD4SG) -- around the use of algorithms, optimization, and mechanism design to address this category of problems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERediet Abebe is a junior fellow at the Harvard Society of Fellows. She holds a Ph.D. in computer science from Cornell University, where she was advised by Jon Kleinberg, as well as an M.S. in applied mathematics from Harvard University, an M.A. in mathematics from the University of Cambridge, and a B.A. in mathematics from Harvard College. Her research is in the fields of algorithms and AI, with a focus on discrete algorithms, optimization, network and computational science, and their applications to equity and social good concerns. As part of this research agenda, Abebe co-founded\u003Ca href=\u0022https:\/\/urldefense.proofpoint.com\/v2\/url?u=http-3A__md4sg.com_\u0026amp;d=DwMFaQ\u0026amp;c=WO-RGvefibhHBZq3fL85hQ\u0026amp;r=4Kh60f71PvemPhNfp1CuSrcPEDVxaUgxgdVN07B8Wmk\u0026amp;m=Q4qa6rKnZXF3wCLYYfboMgx3_WovzR8ogOy3FsVpcWY\u0026amp;s=fsYhUVZ7pYMtjdhXbafORU2TQaNj1zbv1o5FFcRs4SA\u0026amp;e=\u0022\u003E\u0026nbsp;Mechanism Design for Social Good\u003C\/a\u003E\u0026nbsp;(MD4SG), a multi-institutional, interdisciplinary initiative working to improve access to opportunity. This initiative has participants from over 100 institutions in 20 countries and has been supported by Schmidt Futures, the MacArthur Foundation, and the Institute for New Economic Thinking.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAbebe\u0026#39;s work has informed policy and practice at various organizations, including the Ethiopian Ministry of Education and the National Institutes of Health. In 2019, she served on the\u003Ca href=\u0022https:\/\/urldefense.proofpoint.com\/v2\/url?u=https-3A__acd.od.nih.gov_working-2Dgroups_ai.html\u0026amp;d=DwMFaQ\u0026amp;c=WO-RGvefibhHBZq3fL85hQ\u0026amp;r=4Kh60f71PvemPhNfp1CuSrcPEDVxaUgxgdVN07B8Wmk\u0026amp;m=Q4qa6rKnZXF3wCLYYfboMgx3_WovzR8ogOy3FsVpcWY\u0026amp;s=BLq2ZAYG_jgtnUTI0AAvp_q1NQ9TDKrOv5KxKNxwRbk\u0026amp;e=\u0022\u003E\u0026nbsp;NIH Advisory Committee to the Director Working Group on AI\u003C\/a\u003E, whose recommendations were unanimously approved by the General Director\u0026#39;s advisory committee. Abebe was recently recognized by the 2019 \u003Cem\u003EMIT Technology Review\u003C\/em\u003E\u0026rsquo;s\u0026nbsp;35 Innovators Under 35\u0026nbsp;award and honored as a one to watch by the 2018\u0026nbsp;Bloomberg 50\u0026nbsp;list. She has presented her research in venues such as the\u003Cem\u003E\u0026nbsp;\u003C\/em\u003ENational Academy of Sciences, the\u0026nbsp;United Nations, and the\u0026nbsp;Museum of Modern Art\u003Cem\u003E.\u0026nbsp;\u003C\/em\u003EHer work has been covered by outlets including\u003Cem\u003E\u0026nbsp;Forbes\u003C\/em\u003E, the\u0026nbsp;\u003Cem\u003EBoston Globe\u003C\/em\u003E, and the\u0026nbsp;\u003Cem\u003EWashington Post\u003C\/em\u003E. In 2017 Abebe co-founded\u003Ca href=\u0022https:\/\/urldefense.proofpoint.com\/v2\/url?u=https-3A__blackinai.github.io_\u0026amp;d=DwMFaQ\u0026amp;c=WO-RGvefibhHBZq3fL85hQ\u0026amp;r=4Kh60f71PvemPhNfp1CuSrcPEDVxaUgxgdVN07B8Wmk\u0026amp;m=Q4qa6rKnZXF3wCLYYfboMgx3_WovzR8ogOy3FsVpcWY\u0026amp;s=zOjrA8mevcptlKFsJLupk-WTSf-nfNhY-Kxyh6QEZUE\u0026amp;e=\u0022\u003E\u0026nbsp;Black in AI\u003C\/a\u003E, a non-profit organization tackling diversity and inclusion issues in the field. Her research is deeply influenced by her upbringing in her hometown of Addis Ababa, Ethiopia.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Designing Algorithms for Social Good"}],"uid":"34541","created_gmt":"2020-02-19 18:53:56","changed_gmt":"2020-02-27 14:24:25","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-02-27T11:00:00-05:00","event_time_end":"2020-02-27T12:00:00-05:00","event_time_end_last":"2020-02-27T12:00:00-05:00","gmt_time_start":"2020-02-27 16:00:00","gmt_time_end":"2020-02-27 17:00:00","gmt_time_end_last":"2020-02-27 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"632656":{"id":"632656","type":"image","title":"Rediet Abebe","body":null,"created":"1582138462","gmt_created":"2020-02-19 18:54:22","changed":"1582138462","gmt_changed":"2020-02-19 18:54:22","alt":"Rediet Abebe","file":{"fid":"240715","name":"Rediet.jpg","image_path":"\/sites\/default\/files\/images\/Rediet.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Rediet.jpg","mime":"image\/jpeg","size":853806,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Rediet.jpg?itok=xngvs5sH"}}},"media_ids":["632656"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"},{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"632599":{"#nid":"632599","#data":{"type":"event","title":"SCS Recruiting Seminar: Tegan Brennan","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003ESoftware Side Channels\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESide channels in software are a class of information leaks where non-functional side effects of software systems (such as execution time, memory usage, or power consumption) can leak information about sensitive data. In this talk, I present my research on a new class of side-channel vulnerabilities: JIT-induced side channels. In contrast to side channels introduced at the source code level, JIT-induced side channels arise at runtime due to the behavior of just-in-time (JIT) compilation.\u0026nbsp; I show the existence of this class of side channels across multiple runtimes, and I demonstrate JIT-induced timing channels in large, open source projects large enough in magnitude to be detected over the public internet. I also present an automated approach to inducing this type of side channel in programs. In evaluating my automated technique, I show that programs classified as side-channel free by four state-of-the-art side channel analysis tools are, in fact, vulnerable to JIT-induced side channels. Finally, I discuss my contributions towards scalable quantification of side-channel vulnerabilities through a caching framework for model-counting queries.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETegan Brennan is a Ph.D. candidate in computer science at the University of California, Santa Barbara. Her research is in software engineering, formal verification, and computer security. She has worked extensively on side-channel vulnerabilities in software. Brennan is a recipient of an IGERT Fellowship in Network Science, an NCWIT Collegiate Award Honorable Mention in 2018, and an invited participant of the 2019 Rising Stars workshop. She has also interned twice with Amazon\u0026rsquo;s Automated Reasoning Group.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Software Side Channels"}],"uid":"34541","created_gmt":"2020-02-18 17:43:52","changed_gmt":"2020-02-25 20:05:51","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-03-03T11:00:00-05:00","event_time_end":"2020-03-03T12:00:00-05:00","event_time_end_last":"2020-03-03T12:00:00-05:00","gmt_time_start":"2020-03-03 16:00:00","gmt_time_end":"2020-03-03 17:00:00","gmt_time_end_last":"2020-03-03 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"632950":{"id":"632950","type":"image","title":"Tegan Brennan","body":null,"created":"1582661137","gmt_created":"2020-02-25 20:05:37","changed":"1582661137","gmt_changed":"2020-02-25 20:05:37","alt":"Tegan Brennan","file":{"fid":"240835","name":"Tegan_Brennan_headshot.jpg","image_path":"\/sites\/default\/files\/images\/Tegan_Brennan_headshot.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Tegan_Brennan_headshot.jpg","mime":"image\/jpeg","size":2650934,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Tegan_Brennan_headshot.jpg?itok=HFgRimlI"}}},"media_ids":["632950"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"632861":{"#nid":"632861","#data":{"type":"event","title":"Dr. Richard Tapia speaks at Georgia Tech; \u201cMy Unlikely Journey from the Barrios of Los Angeles to the White House \u0026 the National Medal of Science\u0022","body":[{"value":"\u003Cp\u003EDr. Richard Tapia\u003Cbr \/\u003E\r\nUniversity Professor\u003Cbr \/\u003E\r\nMaxfield-Oshman Professor in Engineering\u003Cbr \/\u003E\r\nDirector, Richard Tapia Center for Excellence and Equity in Education\u003Cbr \/\u003E\r\nRice University\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u0026ldquo;MY UNLIKELY JOURNEY FROM THE BARRIOS OF LOS ANGELES TO THE WHITE\u003Cbr \/\u003E\r\nHOUSE \u0026amp; THE NATIONAL MEDAL OF SCIENCE\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis talk is intended to be motivational and is directed at students. I hope to motivate by sharing my life story, including the many adversities and the many successes. I want to let students know that \u0026ldquo;si se puede\u0026rdquo;. Yes it is possible to go from a humble beginning to the top of your career dreams, but this path will most likely be long and winding with many challenges and obstacles. However, we must not lose sight of the pot of gold at the end of the path.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nCollege of Computing Dean\u0026rsquo;s Special event series. Co-hosted by ISYE and OMED\u003Cbr \/\u003E\r\nGeorgia Institute of Technology and invited guests.\u0026nbsp;\u003Cbr \/\u003E\r\nMarch 3, 2020\u003Cbr \/\u003E\r\n1:00 PM\u003Cbr \/\u003E\r\nFerst Center\u003Cbr \/\u003E\r\n\u003Ca href=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_cO0hcL7fxQLRdWt\u0022\u003ERSVP requested\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Dr. Richard Tapia speaks at Georgia Tech; \u201cMy Unlikely Journey from the Barrios of Los Angeles to the White House \u0026 the National Medal of Science\u0022"}],"uid":"28150","created_gmt":"2020-02-24 14:47:39","changed_gmt":"2020-02-24 14:47:39","author":"Birney Robert","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-03-03T13:00:00-05:00","event_time_end":"2020-03-03T14:30:00-05:00","event_time_end_last":"2020-03-03T14:30:00-05:00","gmt_time_start":"2020-03-03 18:00:00","gmt_time_end":"2020-03-03 19:30:00","gmt_time_end_last":"2020-03-03 19:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"632860":{"id":"632860","type":"image","title":"Dr. Richard Tapia","body":null,"created":"1582555132","gmt_created":"2020-02-24 14:38:52","changed":"1582555132","gmt_changed":"2020-02-24 14:38:52","alt":"","file":{"fid":"240804","name":"Tapia_headshot.jpg","image_path":"\/sites\/default\/files\/images\/Tapia_headshot.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Tapia_headshot.jpg","mime":"image\/jpeg","size":65242,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Tapia_headshot.jpg?itok=eDw4hFFm"}}},"media_ids":["632860"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"184064","name":"Dr. Richard Tapia"},{"id":"109","name":"Georgia Tech"},{"id":"654","name":"College of Computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAlicia Richhart\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ealicia@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"632809":{"#nid":"632809","#data":{"type":"event","title":"CSE\/ISYE Joint Distinguished Lecture Steve Vavasis","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EPlease join us for the joint\u0026nbsp;CSE\/ISYE\u0026nbsp;Distinguished Lecture\u0026nbsp;by Steve Vavasis, Associate Dean for Computing and Faculty of Mathematics Director at the University of Waterloo\u003C\/strong\u003E\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cem\u003E\u0026quot;\u003C\/em\u003ETwo Termination Tests for Algorithms in Machine Learning\u003Cem\u003E\u0026quot;\u003C\/em\u003E\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cem\u003E\u003Cstrong\u003EMonday, February\u0026nbsp;24\u003C\/strong\u003E\u003Cbr \/\u003E\r\nKACB 2447 (Classroom Side)\u003C\/em\u003E\u003Cbr \/\u003E\r\n\u003Cem\u003E10\u0026nbsp;- 11\u0026nbsp;am\u0026nbsp;\u003C\/em\u003E\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nHost: Haesun Park\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\n\u003Cstrong\u003EAbstract\u003C\/strong\u003E:\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETermination tests are central to scientific computing but are sometimes treated as an afterthought in machine learning,\u0026nbsp; often not even mentioned in published papers.\u0026nbsp; In this talk, termination tests will be proposed and analyzed for two core problems in machine learning where the termination question is important.\u0026nbsp; First, I will propose a new, simple, and computationally inexpensive termination test for constant step-size stochastic gradient descent (SGD) applied to binary classification with homogeneous linear predictors. Constant step-size SGD is a widely used but non-convergent algorithm, so the issue of termination is nontrivial.\u0026nbsp; Given the huge resource demands of machine learning (e.g., training a neural network has a carbon footprint equal to five times that of an automobile over its life), good termination tests in this regime have a larger environmental significance.\u0026nbsp; The second termination test in my talk applies to sum-of-norms (SON) clustering, a recent convex formulation of the classical clustering problem.\u0026nbsp; Identifying clusters in the SON formulation apparently requires exact knowledge of the optimizer, but all known algorithms are iterative and exact only in the infinite limit, so correct termination is central to correctness of the method.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\n\u003Cstrong\u003EBiography:\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EVavasis received a Bachelors in Mathematics from Princeton in 1984, a Masters (i.e., Part III of the Tripos) in Mathematics from Cambridge in 1985, and PhD in Computer Science from Stanford in 1989.\u0026nbsp; He was an assistant, then associate, then full professor of computer science at Cornell University from 1989 to 2006.\u0026nbsp; Since 2006 he has been a professor in the Department of Combinatorics and Optimization at University of Waterloo.\u0026nbsp; He has served as Associate Dean for Computing since 2017.\u0026nbsp; He has held summer or sabbatical positions at Argonne, Sandia, Bell Labs, Xerox PARC, NASA Ames and elsewhere.\u0026nbsp; He is a past winner of the Hertz Graduate Fellowship, Churchill Scholarship, Presidential Young Investigator award, and Guggenheim Fellowship.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor scheduling information, please contact Anna Stroup at\u0026nbsp;astroup@cc.gatech.edu.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE and ISYE are hosting a joint distinguished lecture featuring Associate Dean of Computing from the University of Waterloo Steve Vavasis."}],"uid":"34540","created_gmt":"2020-02-21 18:40:59","changed_gmt":"2020-02-21 18:40:59","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-02-24T10:00:00-05:00","event_time_end":"2020-02-24T11:00:00-05:00","event_time_end_last":"2020-02-24T11:00:00-05:00","gmt_time_start":"2020-02-24 15:00:00","gmt_time_end":"2020-02-24 16:00:00","gmt_time_end_last":"2020-02-24 16:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"946","name":"distinguished lecture"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"632682":{"#nid":"632682","#data":{"type":"event","title":"SCS Recruiting Seminar: David Kohlbrenner","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EBuilding Trusted Systems on Top of Leaky Abstractions\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EA modern application\u0026rsquo;s safety and security relies on a staggeringly complex stack of abstractions, from software libraries and operating systems to firmware and chip architectural choices. Often, performance-oriented design choices at a lower level can impact security in surprising ways and have no clean fix.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis talk will cover how I construct secure and deployable systems without needing to know the adversary\u0026rsquo;s exact technique. To understand the threat posed by leaky abstractions, I first detail my work on a novel class of side-channel attacks. With this as motivation, I present my Fuzzyfox project for securing the Firefox web browser against all known and unknown timing attacks. Finally, I describe a new way to construct trusted systems leveraging both software and hardware in the Keystone Trusted Execution Environment Framework and future projects.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDavid Kohlbrenner is a postdoctoral scholar working with Dawn Song at UC Berkeley. He previously received his Ph.D. from UC San Diego, where he was advised by Hovav Shacham.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHis research focuses on building deployable secure systems with both hardware and software. Adaptations of his research have been deployed in Firefox, Chrome, and the Linux kernel. His adversarial research discovered major vulnerabilities in popular web browsers, resulting in extensive changes to Chrome, Safari, and Firefox. Kohlbrenner also co-founded the San Diego-based embedded security company Somerset Recon in 2012.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Building Trusted Systems on Top of Leaky Abstractions"}],"uid":"34541","created_gmt":"2020-02-19 21:45:00","changed_gmt":"2020-02-19 21:46:34","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-02-25T11:00:00-05:00","event_time_end":"2020-02-25T12:00:00-05:00","event_time_end_last":"2020-02-25T12:00:00-05:00","gmt_time_start":"2020-02-25 16:00:00","gmt_time_end":"2020-02-25 17:00:00","gmt_time_end_last":"2020-02-25 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"632683":{"id":"632683","type":"image","title":"David Kohlbrenner","body":null,"created":"1582148730","gmt_created":"2020-02-19 21:45:30","changed":"1582148730","gmt_changed":"2020-02-19 21:45:30","alt":"David Kohlbrenner","file":{"fid":"240723","name":"DavidKohlbrenner.png","image_path":"\/sites\/default\/files\/images\/DavidKohlbrenner.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/DavidKohlbrenner.png","mime":"image\/png","size":1211551,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/DavidKohlbrenner.png?itok=5-IskgJz"}}},"media_ids":["632683"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"632557":{"#nid":"632557","#data":{"type":"event","title":"SCS \u0026 ECE Recruiting Seminar: Yatin Manerkar","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EProgressive Automated Formal Verification of Hardware and Software Systems\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe ubiquity of computing today means that the ramifications of computing bugs are higher than ever. Modern computing systems are increasing in complexity, making it challenging to ensure their correctness. Despite this, verification is often conducted late in development using empirical testing. This results in bugs being missed, while those that are discovered are found late in development\u0026nbsp;\u0026ndash;\u0026nbsp;when the opportunities for fixing them may be limited.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nAutomated formal verification methods can provide strong correctness guarantees based on mathematical proofs, but they present a number of challenges. The models used in such verification may be far removed from real implementations, and they may have trouble scaling to the size of real-world systems. In addition, their correctness guarantees may not cover all possible programs.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nIn this talk, I will discuss how my Ph.D. research has addressed each of these challenges for the verification of Memory Consistency Model (MCM) properties in parallel systems. MCMs specify the ordering and visibility rules for memory operations in parallel programs, so MCM verification is critical to parallel system correctness. My MCM verification work spans the hardware\/software stack, and the tools I have developed are designed to be employed at different points in the design timeline. Together, they provide \u0026quot;Progressive Automated Formal Verification,\u0026quot; or automated formal verification throughout the system development process. Progressive verification catches bugs earlier than traditional flows, while also amortizing verification overhead over the entire development timeline.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nI will conclude with my plans for future work, which include developing new methodologies and tools for the principled design and verification of emerging heterogeneous parallel hardware, applying progressive verification to distributed and cyber-physical systems, and automating the generation of formal hardware specifications.\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EYatin Manerkar is a final-year Ph.D. candidate in the Princeton computer science department, advised by Professor Margaret Martonosi. He holds a BASc in computer engineering from the University of Waterloo and an M.S. in computer science and engineering from the University of Michigan. He also worked full-time at Qualcomm Research for one year. Yatin\u0026#39;s research develops automated formal methodologies and tools for the design and verification of computing systems. His work has led to the discovery of bugs in a lazy coherence protocol, a \u0026quot;proven-correct\u0026quot; compiler mapping for C\/C++11 atomics, a commercial compiler, and an open-source processor. He has also contributed to the development of the RISC-V ISA\u0026#39;s memory model by finding deficiencies in its draft specification. Yatin\u0026#39;s research has been recognised with two best paper nominations, and three of his papers have been honoured for their high potential impact as either Top Picks or Honorable Mentions in IEEE Micro\u0026#39;s annual \u0026quot;Top Picks\u0026quot; issue. Yatin is a recipient of the Wallace Memorial Fellowship, one of Princeton\u0026#39;s highest graduate honours awarded to approximately 25 PhD students annually for a senior year of their doctoral studies. He also received the 2019 Award for Excellence from Princeton\u0026#39;s School of Engineering and Applied Science.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Progressive Automated Formal Verification of Hardware and Software Systems"}],"uid":"34541","created_gmt":"2020-02-17 20:05:00","changed_gmt":"2020-02-17 20:06:02","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-02-24T11:00:00-05:00","event_time_end":"2020-02-24T12:00:00-05:00","event_time_end_last":"2020-02-24T12:00:00-05:00","gmt_time_start":"2020-02-24 16:00:00","gmt_time_end":"2020-02-24 17:00:00","gmt_time_end_last":"2020-02-24 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"632558":{"id":"632558","type":"image","title":"Yatin Manerkar","body":null,"created":"1581969936","gmt_created":"2020-02-17 20:05:36","changed":"1581969936","gmt_changed":"2020-02-17 20:05:36","alt":"Yatin Manerkar","file":{"fid":"240674","name":"manerkar_headshot.jpg","image_path":"\/sites\/default\/files\/images\/manerkar_headshot.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/manerkar_headshot.jpg","mime":"image\/jpeg","size":90687,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/manerkar_headshot.jpg?itok=h0lYDBio"}}},"media_ids":["632558"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"632470":{"#nid":"632470","#data":{"type":"event","title":"Meet 2020 ICPC NAC Sponsors","body":[{"value":"\u003Cp\u003ESponsors of the 2020 ICPC North America Championship are welcoming Georgia Tech students to meet with them on Feb. 20, from 12 to 5 p.m. at the Georgia World Congress Center, Ballrooms 405-407. Sponsors include IBM, NSA, Universal Parks and Resorts, SpaceX, and more.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Sponsors of the 2020 ICPC North America Championship are welcoming Georgia Tech students to meet with them on Feb. 20, from 12 to 5 p.m."}],"uid":"32045","created_gmt":"2020-02-14 16:54:05","changed_gmt":"2020-02-14 16:54:05","author":"Ben Snedeker","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-02-20T12:00:00-05:00","event_time_end":"2020-02-20T17:00:00-05:00","event_time_end_last":"2020-02-20T17:00:00-05:00","gmt_time_start":"2020-02-20 17:00:00","gmt_time_end":"2020-02-20 22:00:00","gmt_time_end_last":"2020-02-20 22:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"628123":{"id":"628123","type":"image","title":"ICPC 2020 North America Championship in Atlanta","body":null,"created":"1572271214","gmt_created":"2019-10-28 14:00:14","changed":"1572271214","gmt_changed":"2019-10-28 14:00:14","alt":"ICPC NAC 2020 at GT Computing logo","file":{"fid":"239192","name":"icpc-2020-north-america-championship-host-1.jpg","image_path":"\/sites\/default\/files\/images\/icpc-2020-north-america-championship-host-1.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/icpc-2020-north-america-championship-host-1.jpg","mime":"image\/jpeg","size":377468,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/icpc-2020-north-america-championship-host-1.jpg?itok=rFtgkWTp"}}},"media_ids":["628123"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"606703","name":"Constellations Center"},{"id":"576491","name":"CRNCH"},{"id":"545781","name":"Institute for Data Engineering and Science"},{"id":"430601","name":"Institute for Information Security and Privacy"},{"id":"576481","name":"ML@GT"},{"id":"66442","name":"MS HCI"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"183974","name":"icpc gt computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"632309":{"#nid":"632309","#data":{"type":"event","title":"SCS Recruiting Seminar: Gagandeep Singh","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003ECertified Artificial Intelligence\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDespite remarkable success over the last decade, increasing evidence pointing to the fragility of modern data-driven AI systems has started to emerge, triggering social concerns, government regulations, and limiting wider adoption. Indeed, creating AI systems that behave safely and reliably is a fundamental challenge of critical importance. In this talk, I will present a path towards addressing this fundamental problem. Specifically, I will introduce new mathematical methods based on convex relaxations, sampling, and Lipschitz optimization that enable scalable and precise reasoning about the (potentially infinite number of) behaviors of an AI system (e.g., a deep neural network). I will then show how these methods enable both the creation of state-of-the-art automated verifiers for modern AI systems and the discovery of new provable training techniques. Finally, I will outline several promising future research directions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGagandeep Singh is a Ph.D. candidate at ETH Zurich supervised by Professors Martin Vechev and Markus P\u0026uuml;schel. He completed his master\u0026rsquo;s from ETH and bachelor\u0026rsquo;s from the Indian Institute of Technology, Patna. His research interests lie at the intersection of automated reasoning and machine learning. He has built several systems now used in both academia and industry, including ELINA, a state-of-the-art library for fast numerical static analysis and ERAN, a state-of-the-art verifier for deep neural networks.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Certified Artificial Intelligence"}],"uid":"34541","created_gmt":"2020-02-11 17:16:00","changed_gmt":"2020-02-11 17:18:51","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-02-20T10:50:00-05:00","event_time_end":"2020-02-20T11:50:00-05:00","event_time_end_last":"2020-02-20T11:50:00-05:00","gmt_time_start":"2020-02-20 15:50:00","gmt_time_end":"2020-02-20 16:50:00","gmt_time_end_last":"2020-02-20 16:50:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"632310":{"id":"632310","type":"image","title":"Gagandeep Singh","body":null,"created":"1581441509","gmt_created":"2020-02-11 17:18:29","changed":"1581441509","gmt_changed":"2020-02-11 17:18:29","alt":"Gagandeep Singh","file":{"fid":"240584","name":"Gagandeep.jpg","image_path":"\/sites\/default\/files\/images\/Gagandeep.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Gagandeep.jpg","mime":"image\/jpeg","size":170340,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Gagandeep.jpg?itok=Scb_fwqQ"}}},"media_ids":["632310"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"631312":{"#nid":"631312","#data":{"type":"event","title":"SCS Recruiting Seminar: Rohan Padhye","body":[{"value":"\u003Cp\u003ETITLE:\u003Cem\u003E \u0026nbsp;Bending Fuzzers to One\u0026rsquo;s Own Will\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESoftware bugs affect the security, reliability, and performance of critical software systems that much of our society depends on. The predominant form of ensuring software quality in practice is via testing. Although software developers have considerable domain expertise, handcrafted test cases often fail to catch corner-case bugs. Automated testing techniques such as random fuzzing have become popular for discovering unexpected inputs that cause certain programs to crash. However, their effectiveness as push-button tools is limited when the test program, the input format, or the testing objective becomes complex.\u003Cbr \/\u003E\r\n\u0026nbsp;\u0026nbsp; \u0026nbsp;In this talk, I will describe novel program analysis and fuzzing techniques that make automated testing tools smarter by leveraging the domain knowledge of software developers. These techniques draw upon external artifacts ranging from existing functional tests to explicitly provided specifications. The corresponding research tools such as JQF+Zest, PerfFuzz, and FuzzFactory have uncovered new classes of software bugs that are beyond the reach of prior work, helped identify security vulnerabilities in real-world software that runs on billions of devices, been adopted by firms such as Netflix and Samsung, and been commercialized as services by startups.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERohan Padhye is a Ph.D. candidate in computer science at the University of California, Berkeley. Padhye\u0026rsquo;s research focuses on dynamic program analysis and automated test-input generation. Complementing his doctoral work, Padhye spent a summer each at Microsoft Research and Samsung Research America, developing techniques to automatically find software bugs in large-scale production systems. He is the recipient of an ACM SIGSOFT Distinguished Paper Award, a Distinguished Artifact Award, a Tool Demonstration Award, and an SOSP Best Paper Award. Padhye is also the lead designer of the ChocoPy programming language, which underpins the undergraduate compilers course at Berkeley. He previously worked full time at IBM Research and holds a master\u0026rsquo;s degree from IIT Bombay.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":" Bending Fuzzers to One\u2019s Own Will"}],"uid":"34541","created_gmt":"2020-01-17 21:34:07","changed_gmt":"2020-02-07 15:06:41","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-02-13T11:00:00-05:00","event_time_end":"2020-02-13T12:00:00-05:00","event_time_end_last":"2020-02-13T12:00:00-05:00","gmt_time_start":"2020-02-13 16:00:00","gmt_time_end":"2020-02-13 17:00:00","gmt_time_end_last":"2020-02-13 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"631313":{"id":"631313","type":"image","title":"Rohan Padhye","body":null,"created":"1579296872","gmt_created":"2020-01-17 21:34:32","changed":"1579296872","gmt_changed":"2020-01-17 21:34:32","alt":"Rohan Padhye","file":{"fid":"240253","name":"Rohan Headshot 3x4.jpg","image_path":"\/sites\/default\/files\/images\/Rohan%20Headshot%203x4.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Rohan%20Headshot%203x4.jpg","mime":"image\/jpeg","size":164718,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Rohan%20Headshot%203x4.jpg?itok=kbn0F9OO"}}},"media_ids":["631313"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"632110":{"#nid":"632110","#data":{"type":"event","title":"SCS Seminar Talk: Aditya Akella","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EDesign Principles For Cluster Computing Systems\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECluster computing systems \u0026ndash; i.e., collections of parallel interconnected machines and the infrastructure software running atop them \u0026ndash; drive many important applications such as search, data analytics, and drug discovery, and are at the heart of key innovations in computer science and beyond.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EToday, these cluster systems are facing constant disruption. The emergence of new complex analytics algorithms, performance-hungry distributed applications, and new cluster computing use-cases is stretching cluster systems beyond the original targets they were designed to meet. The growing mismatch between application needs and cluster system designs is hurting application performance and robustness, and curtailing future application innovation.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this talk, I will describe four general design principles for cluster systems that enable them to offer excellent performance to applications and support innovation while gracefully accommodating disruptions. These principles shed light on the need for: (a) software stacks that enable the execution strategy for a cluster application (e.g., when and where to execute application components) to adapt over time; (b) systems that manage cluster applications\u0026rsquo; memory (or \u0026ldquo;intermediate state\u0026rdquo;) as a separate first-class entity; (c) domain-specific abstractions and tools to ensure cluster networks provably meet applications\u0026rsquo; requirements; and (d) principled division of labor between cluster software and hardware to accelerate application performance. I will illustrate the importance of these principles using examples of clusters systems we\u0026rsquo;ve built based upon them.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAditya Akella is a professor of computer sciences and an H. I. Romnes Faculty Fellow at UW-Madison. He received his B. Tech. from IIT Madras (2000), and Ph.D. from CMU (2005). His research spans the computer systems area, with a focus on formal methods applied to networks, hardware acceleration, serverless computing, and systems for big data. Akella\u0026rsquo;s research has been incorporated into several real-world systems, including content distribution networks, data analytics stacks, and production datacenter networks. Akella has received many awards including Professor-of-the-Year (2017 and 2019), Vilas Associate (2017), IRTF Applied Networking Research Prize (2015), ACM SIGCOMM Rising Star Award (2014), NSF CAREER Award (2008), and several best paper awards. Akella co-leads CloudLab (http:\/\/cloudlab.us), a testbed for foundational cloud research.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Design Principles For Cluster Computing Systems"}],"uid":"34541","created_gmt":"2020-02-04 21:39:57","changed_gmt":"2020-02-04 21:45:37","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-02-11T11:00:00-05:00","event_time_end":"2020-02-11T12:00:00-05:00","event_time_end_last":"2020-02-11T12:00:00-05:00","gmt_time_start":"2020-02-11 16:00:00","gmt_time_end":"2020-02-11 17:00:00","gmt_time_end_last":"2020-02-11 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"632111":{"id":"632111","type":"image","title":"Aditya Akella","body":null,"created":"1580852721","gmt_created":"2020-02-04 21:45:21","changed":"1580852721","gmt_changed":"2020-02-04 21:45:21","alt":"Aditya Akella","file":{"fid":"240503","name":"akella-2018 (2).jpg","image_path":"\/sites\/default\/files\/images\/akella-2018%20%282%29.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/akella-2018%20%282%29.jpg","mime":"image\/jpeg","size":215950,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/akella-2018%20%282%29.jpg?itok=-iOB9G2c"}}},"media_ids":["632111"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"631943":{"#nid":"631943","#data":{"type":"event","title":"Google Accessibility Networking Event Presented by ABLE Alliance","body":[{"value":"\u003Cp\u003EGoogle will be at the Georgia Tech campus on Thursday, February 13 for a special Google Networking event in the Marcus Nanotechnology building Rooms 1116-1118.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe event is from 11:30am-2:30pm, with 3 separate 1-hour sessions. Anyone interested in general employment or careers at Google; accessible software product design; or special Google programs for inclusive employment, are especially welcome.\u0026nbsp;This event will serve refreshments and is sponsored by Google Accessibility and the Georgia Tech ABLE Alliance.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFree pre-registration is kindly requested. Use below link or QR code on the attached flyer. Each session is different, so you may sign-up for one or multiple sessions:\u0026nbsp;\u003Ca href=\u0022https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSc-lf_7oKv3zdc8hlmt-OPxpCJ-1y4Hk2-ejkQXkhFdcYNarQ\/viewform\u0022 id=\u0022LPlnk133977\u0022\u003Ehttps:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSc-lf_7oKv3zdc8hlmt-OPxpCJ-1y4Hk2-ejkQXkhFdcYNarQ\/viewform\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Anyone interested in general employment or careers at Google; accessible software product design; or special Google programs for inclusive employment, are especially welcome"}],"uid":"34773","created_gmt":"2020-01-31 14:54:42","changed_gmt":"2020-01-31 15:00:06","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-02-13T11:30:00-05:00","event_time_end":"2020-02-13T14:30:00-05:00","event_time_end_last":"2020-02-13T14:30:00-05:00","gmt_time_start":"2020-02-13 16:30:00","gmt_time_end":"2020-02-13 19:30:00","gmt_time_end_last":"2020-02-13 19:30:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food"],"hg_media":{"631942":{"id":"631942","type":"image","title":"Google Accessibility Networking Event on Feb. 13, 2020","body":null,"created":"1580482305","gmt_created":"2020-01-31 14:51:45","changed":"1580482305","gmt_changed":"2020-01-31 14:51:45","alt":"Google Accessibility Networking Event on Feb. 13, 2020","file":{"fid":"240443","name":"GoogleNetworking-Feb13.png","image_path":"\/sites\/default\/files\/images\/GoogleNetworking-Feb13.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/GoogleNetworking-Feb13.png","mime":"image\/png","size":141479,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/GoogleNetworking-Feb13.png?itok=EvN0TKTo"}}},"media_ids":["631942"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"606703","name":"Constellations Center"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ECassie Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAssistant Professor\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ecassie.mitchell@bme.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"631852":{"#nid":"631852","#data":{"type":"event","title":"Accelerating Atlanta\u0027s Innovation with Chris Klaus","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EWhat:\u0026nbsp;\u003C\/strong\u003EAccelerating Atlanta\u0026#39;s Innovation with Chris Klaus\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u0026nbsp;\u003C\/strong\u003EThe Garage @ Tech Square\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate\/Time:\u0026nbsp;\u003C\/strong\u003E4 p.m., Friday, Jan. 31, 2020\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EMore info:\u0026nbsp;\u003C\/strong\u003Ehttps:\/\/www.eventbrite.com\/e\/fireside-chat-w-chris-klaus-tickets-90254703247\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Join College of Computing alum Chris Klaus for a discussion on innovation in Atlanta at the Garage @ Tech Square."}],"uid":"33939","created_gmt":"2020-01-29 18:00:57","changed_gmt":"2020-01-29 18:00:57","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-01-31T16:00:00-05:00","event_time_end":"2020-01-31T18:00:00-05:00","event_time_end_last":"2020-01-31T18:00:00-05:00","gmt_time_start":"2020-01-31 21:00:00","gmt_time_end":"2020-01-31 23:00:00","gmt_time_end_last":"2020-01-31 23:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576491","name":"CRNCH"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"183765","name":"Chris Klaus; innovation; computing; technology; college of computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"631837":{"#nid":"631837","#data":{"type":"event","title":"SCS Recruiting Seminar: Noah Stephens-Davidowitz","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EFoundations of Lattice-Based Cryptography\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003EThere has been a recent revolution in cryptography due to the introduction of lattice-based constructions. These are cryptographic schemes whose security relies on the presumed hardness of certain computational problems over ubiquitous (and beautiful) geometric objects called lattices. Their many applications (e.g., fully homomorphic encryption) and security against adversaries with quantum computers has created some urgency to deploy lattice-based schemes widely over the next few years. For example, the National Institute of Standards and Technology is in the process of standardizing lattice-based cryptography, and Google has already implemented such a scheme in its Canary browser.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nThe security of the proposed schemes relies crucially on the assumption that our current best algorithms (both classical and quantum) for the relevant computational lattice problems cannot be improved by even a relatively small amount. I will discuss the state of the art in the study of this assumption. In particular, I will describe the fastest known algorithms for these problems (and potential directions to improve them) as well as a recent series of hardness results that use the tools of fine-grained complexity to provide strong evidence for the security of lattice-based cryptography.\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nBIO:\u003C\/p\u003E\r\n\r\n\u003Cdiv\u003E\r\n\u003Cp\u003ENoah Stephens-Davidowitz is the Microsoft Research Fellow at the Simons Institute in Berkeley. He has also been a postdoctoral researcher at MIT, Princeton, and the Institute for Advanced Study. He received his Ph.D. from NYU, where his dissertation won the Dean\u0026rsquo;s Outstanding Dissertation Award in the sciences.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nMuch of Stephens-Davidowitz\u0026#39;s research uses the tools of theoretical computer science to answer fundamental questions about the security of widely deployed real-world cryptography, particularly post-quantum lattice-based cryptography. He is also interested more broadly in theoretical computer science, cryptography, and geometry.\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Foundations of Lattice-Based Cryptography"}],"uid":"34541","created_gmt":"2020-01-29 15:45:35","changed_gmt":"2020-01-29 16:53:10","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-02-06T11:00:00-05:00","event_time_end":"2020-02-06T12:00:00-05:00","event_time_end_last":"2020-02-06T12:00:00-05:00","gmt_time_start":"2020-02-06 16:00:00","gmt_time_end":"2020-02-06 17:00:00","gmt_time_end_last":"2020-02-06 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"631840":{"id":"631840","type":"image","title":"Noah Stephens-Davidowitz","body":null,"created":"1580316749","gmt_created":"2020-01-29 16:52:29","changed":"1580316749","gmt_changed":"2020-01-29 16:52:29","alt":"Noah Stephens-Davidowitz","file":{"fid":"240397","name":"nsdpic.jpg","image_path":"\/sites\/default\/files\/images\/nsdpic.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/nsdpic.jpg","mime":"image\/jpeg","size":25761,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/nsdpic.jpg?itok=4Ec4BBUk"}}},"media_ids":["631840"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"631726":{"#nid":"631726","#data":{"type":"event","title":"SCS Recruiting Seminar: Krzysztof Onak ","body":[{"value":"\u003Cp\u003E\u0026nbsp;TITLE: \u003Cem\u003EAlgorithmic Challenges of Modern Distributed Data\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGrowing amounts of collected and processed data, on the one hand, and throughput, real-time response, and privacy constraints, on the other hand, increasingly lead to computing systems in which the entirety of data is no longer local to any single processing unit. Both cloud computing and computing at the edge pose new unique algorithmic challenges. How does one minimize the number of communication rounds, total information exchanged, and surplus computation while still providing answers in a timely manner?\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nApart from giving an overview of the variety of arising challenges, this talk will focus on new techniques developed for processing frameworks similar to MapReduce and Spark. We will show how to obtain significant improvements on direct implementations of classic or straightforward algorithms for graph combinatorial optimization problems and computing PageRank. Our techniques allow for compressing several rounds of computation into exponentially fewer rounds of MapReduce computation. In particular, this line of work has led to the first approximate maximum matching algorithms with sublogarithmic round complexity when the space per machine is linear or sublinear in the number of nodes in the graph.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nThis is a very quickly developing area of research and many intriguing questions remain open.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EKrzysztof Onak is a research scientist in the Mathematics of AI group at the IBM T.J. Watson Research Center. His main research interests concern big data computation with limited resources, including algorithms for modern parallel and distributed systems, sublinear-time algorithms, and streaming. Onak received his master\u0026rsquo;s degree from the University of Warsaw and his Ph.D. from the Massachusetts Institute of Technology. Before joining IBM, he was a Simons Postdoctoral Fellow at Carnegie Mellon University.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":" Algorithmic Challenges of Modern Distributed Data"}],"uid":"34541","created_gmt":"2020-01-27 20:30:54","changed_gmt":"2020-01-27 20:31:45","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-02-04T11:00:00-05:00","event_time_end":"2020-02-04T12:00:00-05:00","event_time_end_last":"2020-02-04T12:00:00-05:00","gmt_time_start":"2020-02-04 16:00:00","gmt_time_end":"2020-02-04 17:00:00","gmt_time_end_last":"2020-02-04 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"631727":{"id":"631727","type":"image","title":"Krzysztof Onak ","body":null,"created":"1580157083","gmt_created":"2020-01-27 20:31:23","changed":"1580157083","gmt_changed":"2020-01-27 20:31:23","alt":"Krzysztof Onak ","file":{"fid":"240358","name":"photo.jpg","image_path":"\/sites\/default\/files\/images\/photo_8.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/photo_8.jpg","mime":"image\/jpeg","size":233791,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/photo_8.jpg?itok=ddkTkTKW"}}},"media_ids":["631727"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto: tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"631715":{"#nid":"631715","#data":{"type":"event","title":"SCS Recruiting Seminar: Shaddi Hasan","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EDemocratizing Service Provider Networks\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs the internet grows in importance worldwide, legacy network architectures, closed vendor ecosystems, and rigid regulatory frameworks constrain innovation in internet service provider and mobile operator networks. As a result, the expansion of the internet is slowing, leaving more than 1.7 billion people without access, largely in rural areas. In this talk, I present approaches to enabling new classes of service providers that are able to expand the frontiers of the internet beyond what is achievable today. First, I present Nomadic GSM, a system that demonstrates community-run mobile networks can safely share radio spectrum with existing mobile network operators. Next, I present CCM, a system that shows how community networks and traditional mobile network operators can cooperate to share resources to extend service. Finally, I will discuss an evaluation of these systems through longitudinal deployments in Southeast Asia that provide service to thousands of rural people, as well as their implications for future service provider networks and universal access to the internet.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nShaddi Hasan works on open wireless networks and rural connectivity at Facebook Connectivity. His research interests lie at intersection of computer networks and ICTD. His work addresses fundamental scale and flexibility challenges faced by service provider networks, especially in rural and developing regions, and has appeared in venues such as NSDI, IEEE DySPAN, ICTD, and SIGCOMM. He received his Ph.D. and M.S. in computer science from University of California, Berkeley, and his B.S. in computer science from the University of North Carolina at Chapel Hill. Prior to its acquisition by Facebook, he was a co-founder of Endaga, a startup focused on building systems to enable community cellular networks.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Democratizing Service Provider Networks"}],"uid":"34541","created_gmt":"2020-01-27 19:52:41","changed_gmt":"2020-01-27 19:53:25","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-01-30T11:00:00-05:00","event_time_end":"2020-01-30T12:00:00-05:00","event_time_end_last":"2020-01-30T12:00:00-05:00","gmt_time_start":"2020-01-30 16:00:00","gmt_time_end":"2020-01-30 17:00:00","gmt_time_end_last":"2020-01-30 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"631716":{"id":"631716","type":"image","title":"Shaddi Hasan","body":null,"created":"1580154789","gmt_created":"2020-01-27 19:53:09","changed":"1580154789","gmt_changed":"2020-01-27 19:53:09","alt":"Shaddi Hasan","file":{"fid":"240355","name":"hasan_headshot.png","image_path":"\/sites\/default\/files\/images\/hasan_headshot.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/hasan_headshot.png","mime":"image\/png","size":6926604,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/hasan_headshot.png?itok=i0OzJxV0"}}},"media_ids":["631716"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto: tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"630778":{"#nid":"630778","#data":{"type":"event","title":"ML@GT Seminar: Ganesh Sundaramoorthi, United Technologies Research Center (UTRC)","body":[{"value":"\u003Cp\u003EML@GT invites you to a seminar by Ganesh Sundaramoorth, a principal research scientist\u0026nbsp;from United Technologies Research Center (UTRC).\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSeSaWo8qJd7-y55R3rppZ2MrArC2O-gtiLtvdqybhMRhaanrw\/viewform?usp=sf_link\u0022\u003ERSVP Here\u003C\/a\u003E\u0026nbsp;by Monday, February 10\u003C\/p\u003E\r\n\r\n\u003Ch3\u003ETalk Title\u003C\/h3\u003E\r\n\r\n\u003Cp\u003ESolving the Flickering Problem in Modern Convolutional Neural Networks\u003C\/p\u003E\r\n\r\n\u003Ch3\u003EAbstract\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EDeep Learning has revolutionized the AI field.\u0026nbsp;\u0026nbsp; Despite this, there is much progress needed to deploy deep learning in safety critical applications (such as autonomous aircraft).\u0026nbsp; This is because current deep learning systems are not robust to real-world nuisances (e.g., viewpoint, illumination, partial occlusion).\u0026nbsp; In this talk, we take a step in constructing robust deep learning systems by addressing the problem that state-of-the-art Convolution Neural Networks (CNN) classifiers and detectors are vulnerable to small perturbations, including shifts of the image or camera.\u0026nbsp; While various forms of specially engineered\u0026nbsp;\u0026ldquo;adversarial perturbations\u0026rdquo; that fool deep learning systems have been well documented, modern CNNs can surprisingly change classification up to 30% probability even for simple 1-pixel shifts of the image.\u0026nbsp;This lack of translational stability seems to be partially the cause of \u0026ldquo;flickering\u0026rdquo; in state-of-the-art object detectors applied to video.\u0026nbsp; In this talk, we introduce this phenomena, propose a solution, prove it analytically, validate it empirically, and explain why existing CNNs exhibit this phenomena.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003EBio\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EGanesh Sundaramoorthi is currently Principal Research Scientist at\u0026nbsp;\u003Ca href=\u0022http:\/\/www.utrc.utc.com\/\u0022\u003EUnited Technologies Research Center\u003C\/a\u003E\u0026nbsp;in East Hartford, CT, USA, conducting research in computer vision and machine learning, and building products in robotic inspection from this research. Prior to this, he was Assistant Professor of Electrical Engineering and jointly Assistant Professor of Applied Mathematics and Computational Science at\u0026nbsp;\u003Ca href=\u0022https:\/\/www.kaust.edu.sa\/en\u0022\u003EKAUST\u003C\/a\u003E\u0026nbsp;starting in 2011. He directed the Computational Vision Lab at KAUST, which developed novel mathematics and algorithms, as well as software for video and image understanding technology. His fundamental optimization algorithms have led to advancements in motion-based video segmentation and detection. His group also developed technology for seismic image analysis, electron microscopy images, and medical (MRI \u0026amp; CT) images.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPrior to KAUST, he was a postdoctoral research associate with\u0026nbsp;\u003Ca href=\u0022http:\/\/web.cs.ucla.edu\/~soatto\/\u0022\u003EProf.\u0026nbsp;Stefano Soatto\u003C\/a\u003E\u0026nbsp;in the Vision Lab at the University of California, Los Angeles from 2008 to 2010. There he made fundamental contributions to the view invariance problem in object recognition (with\u0026nbsp;\u003Ca href=\u0022http:\/\/www.math.ucla.edu\/~petersen\/\u0022\u003EProf. Peter Petersen\u003C\/a\u003E\u0026nbsp;and\u0026nbsp;\u003Ca href=\u0022https:\/\/en.wikipedia.org\/wiki\/Veeravalli_S._Varadarajan\u0022\u003EProf. V. S. Varadarajan\u003C\/a\u003E), and developed technology for video tracking. His PhD is in Electrical and Computer Engineering from the Georgia Institute of Technology in Atlanta, GA, USA in 2008. His PhD developed fundamental shape optimization methods for computer vision that aided in technology for video tracking, and medical image analysis. He was advised by\u0026nbsp;\u003Ca href=\u0022https:\/\/www.ece.gatech.edu\/faculty-staff-directory\/anthony-joseph-yezzi\u0022\u003EProf. Anthony Yezzi\u003C\/a\u003E. His Bachelor\u0026#39;s degrees were in Computer Engineering and Applied Mathematics, which he earned in 2003, also from Georgia Tech.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHe has served as Area Chair for the leading computer vision conferences, including\u0026nbsp;\u003Ca href=\u0022https:\/\/en.wikipedia.org\/wiki\/Conference_on_Computer_Vision_and_Pattern_Recognition\u0022\u003EIEEE Conference on Computer Vision and Pattern Recognition\u003C\/a\u003E\u0026nbsp;(CVPR) and\u0026nbsp;\u003Ca href=\u0022https:\/\/en.wikipedia.org\/wiki\/International_Conference_on_Computer_Vision\u0022\u003EIEEE International Conference on Computer Vision\u003C\/a\u003E\u0026nbsp;(ICCV).\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"ML@GT invites you to a seminar by Ganesh Sundaramoorthi from United Technologies Research Center (UTRC)"}],"uid":"34773","created_gmt":"2020-01-08 18:23:09","changed_gmt":"2020-01-27 17:52:42","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-02-12T12:15:00-05:00","event_time_end":"2020-02-12T13:15:00-05:00","event_time_end_last":"2020-02-12T13:15:00-05:00","gmt_time_start":"2020-02-12 17:15:00","gmt_time_end":"2020-02-12 18:15:00","gmt_time_end_last":"2020-02-12 18:15:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKyla Hanson\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ekhanson@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"631539":{"#nid":"631539","#data":{"type":"event","title":"SCS Seminar Talk: Shuchi Chawla","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EOnline Resource Allocation\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRCT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlgorithmic mechanism design deals with the optimization of economic systems where many parties with conflicting objectives compete for possession of resources. Insights from this area play an increasingly important role in the design of new electronic marketplaces such as online advertising, the cloud market, rideshare industry, crowdsourcing marketplaces, etc. These new marketplaces display rich combinatorial structure as well as a previously unseen scale of microtransactions necessitating an algorithmic approach towards designing solutions. A fundamental objective in these settings is to partition a set of resources among multiple participants so that the collective happiness of all participants, a.k.a. social welfare, is maximized. This classical objective from economics is very well understood in \u0026ldquo;one-shot\u0026rdquo; settings. In this talk we consider the online version of the problem, where participants arrive one by one and grab resources. I will describe some recent work showing that simple pricings can achieve near-optimal solutions to this problem. This talk is based on joint work with Nikhil Devanur, Alexander Holroyd, Anna Karlin, James Martin, J. Benjamin Miller, Balasubramanian Sivan, and Yifeng Teng.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EShuchi Chawla received a B.Tech. in computer science from the Indian Institute of Technology, Delhi, and a Ph.D. in computer science from Carnegie Mellon University. After postdocs at Stanford University and Microsoft Research Silicon Valley, she joined the University of Wisconsin-Madison, where she is now professor of computer sciences. Chawla\u0026rsquo;s research interests include the design and analysis of approximation algorithms, online algorithms, algorithmic game theory and mechanism design, and combinatorial and stochastic optimization. Shuchi is the recipient of an NSF Career award, a Sloan Foundation fellowship, UW-Madison\u0026rsquo;s Carolyn Rosner Award in Teaching, and Chancellor\u0026rsquo;s Teaching Innovation Award. She currently serves on the editorial boards of the ACM Transactions on Algorithms and the ACM Transactions on Economics and Computation. She is an elected member of the ACM SIGACT executive committee and currently serves as chair of the SIGACT Committee for the Advancement of Theoretical Computer Science.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Online Resource Allocation"}],"uid":"34541","created_gmt":"2020-01-24 15:02:20","changed_gmt":"2020-01-24 15:29:59","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-01-28T11:00:00-05:00","event_time_end":"2020-01-28T12:00:00-05:00","event_time_end_last":"2020-01-28T12:00:00-05:00","gmt_time_start":"2020-01-28 16:00:00","gmt_time_end":"2020-01-28 17:00:00","gmt_time_end_last":"2020-01-28 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"631540":{"id":"631540","type":"image","title":"Shuchi Chawla","body":null,"created":"1579878193","gmt_created":"2020-01-24 15:03:13","changed":"1579878193","gmt_changed":"2020-01-24 15:03:13","alt":"Shuchi Chawla","file":{"fid":"240328","name":"chawla.jpg","image_path":"\/sites\/default\/files\/images\/chawla.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/chawla.jpg","mime":"image\/jpeg","size":424931,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/chawla.jpg?itok=-PO0F5K7"}}},"media_ids":["631540"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"631542":{"#nid":"631542","#data":{"type":"event","title":"SCS \u0026 ECE Recruiting Seminar: Paul Grubbs","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EBreaking and Building End-to-End Encrypted Systems\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EToday\u0026rsquo;s computer systems and their owners fail to protect data. Exacerbating this are new threats stemming from the rise of cloud computing. The consequences are dire: sensitive information like financial statements, medical records, and private messages are disclosed to malicious parties. In my research at the intersection of security, cryptography, and systems, I work to change this by breaking and building efficient end-to-end (E2E) encrypted systems, which protect data by keeping it encrypted throughout processing and storage. In this talk, I\u0026rsquo;ll explain some of the flaws I\u0026rsquo;ve found in existing E2E-encrypted systems deployed to billions of users, how the flaws have led me to a new methodology for building these systems that\u0026rsquo;s rooted in co-design of cryptography and systems, and some of the new E2E-encrypted systems I\u0026rsquo;m building.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPaul Grubbs is a Ph.D. candidate in computer science at Cornell University. In his research in security, cryptography, and systems, he designs and analyzes systems that use encryption to protect data. To do this, he uses theoretical foundations from cryptography and other fields, empirical methods, and practical knowledge of real systems. He is the recipient of a 2017 NSF Graduate Research Fellowship.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Breaking and Building End-to-End Encrypted Systems"}],"uid":"34541","created_gmt":"2020-01-24 15:28:50","changed_gmt":"2020-01-24 15:29:37","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-02-18T11:00:00-05:00","event_time_end":"2020-02-18T12:00:00-05:00","event_time_end_last":"2020-02-18T12:00:00-05:00","gmt_time_start":"2020-02-18 16:00:00","gmt_time_end":"2020-02-18 17:00:00","gmt_time_end_last":"2020-02-18 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"631543":{"id":"631543","type":"image","title":"Paul Grubbs","body":null,"created":"1579879758","gmt_created":"2020-01-24 15:29:18","changed":"1579879758","gmt_changed":"2020-01-24 15:29:18","alt":"Paul Grubbs","file":{"fid":"240329","name":"headshot.jpeg","image_path":"\/sites\/default\/files\/images\/headshot.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/headshot.jpeg","mime":"image\/jpeg","size":402673,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/headshot.jpeg?itok=Awb1NDAY"}}},"media_ids":["631543"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"630577":{"#nid":"630577","#data":{"type":"event","title":"ML@GT Seminar: Yuejie Chi, Carnegie Mellon University","body":[{"value":"\u003Cp\u003EThe Machine Learning Center at Georgia Tech invites you to a seminar by Yuejie Chi, an associate professor from Carnegie Mellon University.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003ETalk Title\u003C\/h3\u003E\r\n\r\n\u003Cp\u003ECommunication-Efficient Distributed Stochastic Optimization with Variance Reduction and Gradient Tracking\u003C\/p\u003E\r\n\r\n\u003Ch3\u003EAbstract\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EThere is an increasing need to perform large-scale machine learning and optimization over distributed networks, e.g. in the context of multi-agent learning and federated optimization. It is well recognized that, a careful balance of local computation and global communication\u0026nbsp;is necessary to fully unleash the benefits in the distributed setting. In this talk, we first consider a natural framework for distributing popular stochastic variance reduced methods in the master\/slave setting, and establish its convergence guarantees under simple and intuitive assumptions that capture the effect of local data heterogeneity. Next, we move to the decentralized network setting, where each agent only aggregates information from its neighbors over a network topology. We discuss challenges and solutions to obtain decentralized counterparts for algorithms originally developed for the master\/slave setting, and highlight the resulting algorithms using approximate Newton and stochastic variance-reduced local updates. Theoretical convergence guarantees and numerical evidence are provided to demonstrate the appealing performance of our algorithms over competitive baselines, in terms of both communication and computation efficiency.\u003C\/p\u003E\r\n\r\n\u003Ch3\u003EBio\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EDr. Yuejie Chi received the Ph.D. degree in Electrical Engineering from Princeton University in 2012, and the B.E. (Hon.) degree in Electrical Engineering from Tsinghua University, Beijing, China, in 2007. Since 2018, she is Robert E. Doherty Career Development Professor and Associate Professor with the department of Electrical and Computer Engineering at Carnegie Mellon University, after spending 5 years at The Ohio State University. She is interested in the mathematics of data science that take advantage of structures and geometry to minimize complexity and improve performance in decision making. Specific topics include mathematical and statistical signal processing, machine learning, large-scale optimization, sampling theory, with applications in sensing, imaging and data science. She is a recipient of the PECASE Award, NSF CAREER Award, AFOSR YIP Award, ONR YIP Award, IEEE SPS Early Career Technical Achievement Award, and IEEE SPS Young Author Paper Award.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The Machine Learning Center at Georgia Tech invites you to a seminar by Yuejie Chi from Carnegie Mellon University."}],"uid":"34773","created_gmt":"2020-01-06 17:34:13","changed_gmt":"2020-01-10 17:13:41","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-01-29T12:15:00-05:00","event_time_end":"2020-01-29T13:15:00-05:00","event_time_end_last":"2020-01-29T13:15:00-05:00","gmt_time_start":"2020-01-29 17:15:00","gmt_time_end":"2020-01-29 18:15:00","gmt_time_end_last":"2020-01-29 18:15:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKyla Hanson\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ekhanson@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"630576":{"#nid":"630576","#data":{"type":"event","title":"ML@GT Seminar: Niranjan Balasubramanian, Stony Brook University","body":[{"value":"\u003Cp\u003E\u003Ca href=\u0022http:\/\/ml.gatech.edu\/\u0022 target=\u0022_blank\u0022\u003EThe Machine Learning Center\u003C\/a\u003E\u0026nbsp;invites\u0026nbsp;you to a lecture by Niranjan Balasubramanian from\u0026nbsp;Stony Brook University.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nThe lecture will be held at 12:15\u0026nbsp;on Wednesday, January 15\u0026nbsp;in Marcus Nanotechnology Room 1117-1118.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSfYx_UVTRLlvcS792KCYY6A6TOjbqazWLaIyl4-xJeDz7lusA\/viewform?usp=sf_link\u0022\u003ERSVP Here\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EQuestion Answering, Event Knowledge, and other NLP Stuff: Forays into Reuse, Decomposition, and\u0026nbsp;Control in Neural NLP Models\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u0026nbsp;In this three-part talk, I will present some of our recent efforts that aim to\u0026nbsp;control\u0026nbsp;and adapt neural models to work more effectively in target applications. The first part will focus on how to repurpose a pre-trained neural entailment model for multi-hop QA, and decomposing large QA models to run effectively on mobile devices. In the second part, I will present methods for learning structured latent spaces for better\u0026nbsp;control\u0026nbsp;in\u0026nbsp;modeling and generating event sequences. In the third part, I will talk briefly about modeling target-side syntax for machine translation.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENiranjan is an Assistant Professor in the Computer Science department at Stony Brook University, where he heads the Language Understanding and Reasoning lab (LUNR). Prior to joining Stony Brook, he was a post-doctoral researcher at the University of Washington, and was one of the early members of the Allen Institute for Artificial Intelligence. Niranjan completed his Ph.D. in Computer Science from the University of Massachusetts Amherst.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHe likes food and wine just enough that he sometimes wants to mention it as part of his bio and is a categorically amateurish paint splatterer that he does not (yet) want to mention it as part of his bio.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The Machine Learning Center at Georgia Tech invites you to a seminar by Niranjan Balasubramanian from Stony Brook University."}],"uid":"34773","created_gmt":"2020-01-06 17:31:03","changed_gmt":"2020-01-08 18:09:28","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-01-15T12:15:00-05:00","event_time_end":"2020-01-15T13:15:00-05:00","event_time_end_last":"2020-01-15T13:15:00-05:00","gmt_time_start":"2020-01-15 17:15:00","gmt_time_end":"2020-01-15 18:15:00","gmt_time_end_last":"2020-01-15 18:15:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKyla Hanson\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ekhanson@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"629853":{"#nid":"629853","#data":{"type":"event","title":"SCS Seminar: Jinjun Xiong","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EAcross-stack AI Systems Research in an Era of Cloud and Edge Computing\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs Moore\u0026rsquo;s law runs out of steam with CMOS technology approaching fundamental limits, heterogeneous systems become increasingly popular as a promising solution to solve the challenges of insatiable demand for high capacity, low latency and high energy efficiency computing. The recent booming of artificial intelligence (AI), machine learning and deep learning in particular, has further boosted such a demand for computing systems, including cloud computing and edge computing. This talk will discuss some of the research challenges resulting from these recent trends, and why a holistic AI systems research across the stack of software, middleware and heterogeneous hardware systems is of particular importance. I will show some exemplar research topics conducted at the IBM-ILLINOIS Center for Cognitive Computing Systems Research (\u003Ca href=\u0022http:\/\/c3sr.com\/\u0022\u003Ec3sr.com\u003C\/a\u003E), and try to shed some lights on the future directions of across stack AI Systems research.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr.\u0026nbsp;Jinjun\u0026nbsp;Xiong is currently the Program Director for Cognitive Computing Systems Research at the IBM Thomas J. Watson Research Center. He co-founded and co-directs the IBM-Illinois Center for Cognitive Computing Systems Research (\u003Ca href=\u0022http:\/\/c3sr.com\/\u0022\u003EC3SR.com\u003C\/a\u003E) with Prof. Wen-mei Hwu at UIUC. He was also a founding PI for the IBM Smarter Energy Research Institute (SERI) with deep collaboration with a number of large electrical utility companies worldwide. Prior to that, his technologies have been implemented inside IBM\u0026rsquo;s flagship EinsTimer\/EinsStat tools, design and test methodologies used for designing multi-generations of IBM\u0026rsquo;s high-performance ASICs and Processors. He has published more than 100s of peer-reviewed papers in top AI conferences and systems conferences. His publication won five Best Paper Awards and eight Nominations for Best Paper Awards. He also led teams to win top awards for various international research competitions, including the recent championships for the DAC\u0026#39;19 Systems Design Contest on designing object detection neural network on low-power FPGA and GPU devices.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Across-stack AI Systems Research in an Era of Cloud and Edge Computing"}],"uid":"34541","created_gmt":"2019-12-09 20:58:08","changed_gmt":"2019-12-09 20:59:12","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-12-10T11:00:00-05:00","event_time_end":"2019-12-10T12:00:00-05:00","event_time_end_last":"2019-12-10T12:00:00-05:00","gmt_time_start":"2019-12-10 16:00:00","gmt_time_end":"2019-12-10 17:00:00","gmt_time_end_last":"2019-12-10 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"629855":{"id":"629855","type":"image","title":"Jinjun Xiong","body":null,"created":"1575925134","gmt_created":"2019-12-09 20:58:54","changed":"1575925134","gmt_changed":"2019-12-09 20:58:54","alt":"Jinjun","file":{"fid":"239854","name":"JinjunXiong.png","image_path":"\/sites\/default\/files\/images\/JinjunXiong.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/JinjunXiong.png","mime":"image\/png","size":1746385,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/JinjunXiong.png?itok=rnUxS7Qi"}}},"media_ids":["629855"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"628841":{"#nid":"628841","#data":{"type":"event","title":"ML@GT Presents AI at Facebook Scale with Facebook VP of AI Jerome Pesenti","body":[{"value":"\u003Cp\u003EFacebook VP of AI Jerome Pesenti and colleagues will be on campus to discuss how Facebook uses AI across its family of apps and give more details about the new class being offered by Georgia Tech and Facebook.\u0026nbsp;\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nPesenti will cover how Facebook uses AI across its family of apps to benefit billions of people, some of the challenges associated with deploying AI at this scale, and the innovations the company uses to address those challenges.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nPesenti\u0026#39;s talk will be followed by an info session on how Facebook Artificial Intelligence and Georgia Tech are teaming up in Spring 2020 to co-teach the upcoming CS 4803DL\/7643 Deep Learning course.\u0026nbsp;\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nDeep learning is transforming the world and we want to invite diverse students of all backgrounds to enroll. Come meet the Facebook instructors and team behind this new initiative.\u0026nbsp;We are committed to building a more diverse AI field and we\u0026rsquo;re excited to connect with Georgia Tech students this December.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Facebook VP of AI Jerome Pesenti and colleagues will be on campus to discuss how Facebook uses AI across its family of apps and give more details about the new class being offered by Georgia Tech and Facebook. "}],"uid":"34773","created_gmt":"2019-11-11 13:44:41","changed_gmt":"2019-11-27 17:37:36","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-12-02T10:30:00-05:00","event_time_end":"2019-12-02T11:30:00-05:00","event_time_end_last":"2019-12-02T11:30:00-05:00","gmt_time_start":"2019-12-02 15:30:00","gmt_time_end":"2019-12-02 16:30:00","gmt_time_end_last":"2019-12-02 16:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"628843":{"id":"628843","type":"image","title":"The Machine Learning Center at Georgia Tech and Facebook AI will come together to teach a course on deep learning in Spring 2020.","body":null,"created":"1573482375","gmt_created":"2019-11-11 14:26:15","changed":"1573482375","gmt_changed":"2019-11-11 14:26:15","alt":"","file":{"fid":"239483","name":"Facebook_ML_Transparent.png","image_path":"\/sites\/default\/files\/images\/Facebook_ML_Transparent.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Facebook_ML_Transparent.png","mime":"image\/png","size":47576,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Facebook_ML_Transparent.png?itok=WFFMnmE9"}},"628844":{"id":"628844","type":"image","title":"Jerome Pesenti, VP of AI at Facebook","body":null,"created":"1573482437","gmt_created":"2019-11-11 14:27:17","changed":"1573482437","gmt_changed":"2019-11-11 14:27:17","alt":"","file":{"fid":"239484","name":"C_Jerome_Pesenti_044.jpg","image_path":"\/sites\/default\/files\/images\/C_Jerome_Pesenti_044.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/C_Jerome_Pesenti_044.jpg","mime":"image\/jpeg","size":117678,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/C_Jerome_Pesenti_044.jpg?itok=Gm80T5D7"}},"628847":{"id":"628847","type":"image","title":"Sam Pepose, Facebook Applied Research Scientist","body":null,"created":"1573482544","gmt_created":"2019-11-11 14:29:04","changed":"1573482544","gmt_changed":"2019-11-11 14:29:04","alt":"","file":{"fid":"239487","name":"Sam.jpg","image_path":"\/sites\/default\/files\/images\/Sam.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Sam.jpg","mime":"image\/jpeg","size":88898,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Sam.jpg?itok=I3vmTsdq"}},"628845":{"id":"628845","type":"image","title":"Jean Mailard, Facebook Research Scientist","body":null,"created":"1573482476","gmt_created":"2019-11-11 14:27:56","changed":"1573482476","gmt_changed":"2019-11-11 14:27:56","alt":"","file":{"fid":"239485","name":"Jean.jpg","image_path":"\/sites\/default\/files\/images\/Jean.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Jean.jpg","mime":"image\/jpeg","size":224622,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Jean.jpg?itok=6ebN7A1a"}},"628846":{"id":"628846","type":"image","title":"Paco Guzman, Facebook Research Scientist","body":null,"created":"1573482514","gmt_created":"2019-11-11 14:28:34","changed":"1573482514","gmt_changed":"2019-11-11 14:28:34","alt":"","file":{"fid":"239486","name":"Paco.jpg","image_path":"\/sites\/default\/files\/images\/Paco.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Paco.jpg","mime":"image\/jpeg","size":67664,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Paco.jpg?itok=sDKgpy6q"}},"628848":{"id":"628848","type":"image","title":"Jess Erickson, Facebook Program Manager","body":null,"created":"1573482572","gmt_created":"2019-11-11 14:29:32","changed":"1573482572","gmt_changed":"2019-11-11 14:29:32","alt":"","file":{"fid":"239488","name":"JessErickson.png","image_path":"\/sites\/default\/files\/images\/JessErickson.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/JessErickson.png","mime":"image\/png","size":146377,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/JessErickson.png?itok=8NRnFMlJ"}},"629447":{"id":"629447","type":"image","title":"Vincent Quenneville-Belair","body":null,"created":"1574876221","gmt_created":"2019-11-27 17:37:01","changed":"1574876221","gmt_changed":"2019-11-27 17:37:01","alt":"Vincent Quenneville-Belair","file":{"fid":"239706","name":"profile.jpg","image_path":"\/sites\/default\/files\/images\/profile.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/profile.jpg","mime":"image\/jpeg","size":153325,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/profile.jpg?itok=dG-Q1tWp"}}},"media_ids":["628843","628844","628847","628845","628846","628848","629447"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"629178":{"#nid":"629178","#data":{"type":"event","title":"SCS Seminar: Shubhangi Saraf","body":[{"value":"\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETITLE: \u003Cem\u003EPolynomial Factorization and Algebraic Complexity\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this talk, I will discuss connections between three central problems in algebraic complexity theory: arithmetic circuit lower bounds, derandomization questions in arithmetic computation, and polynomial factorization. These three closely related topics have guided algebraic complexity in the last several decades. I will talk about the interrelations between these problems and also some recent results towards the quest of deterministic multivariate polynomial factorization.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EShubhangi Saraf is an associate professor in the computer science and mathematics departments at Rutgers University. Her research interests lie broadly in theoretical computer science with a focus in arithmetic complexity, error correcting codes, and sublinear time algorithms. She received her bachelor\u0026rsquo;s degree in mathematics from MIT in 2007 and then a Ph.D. degree in computer science from MIT in 2011. Prior to joining the faculty of Rutgers University in 2012, she spent a year as a postdoctoral researcher at the Institute for Advanced Study (IAS). She is a recipient of the Alfred P. Sloan Research Fellowship and the NSF CAREER Award.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Title: Polynomial Factorization and Algebraic Complexity"}],"uid":"34541","created_gmt":"2019-11-20 20:46:30","changed_gmt":"2019-11-20 20:47:30","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-12-05T11:00:00-05:00","event_time_end":"2019-12-05T12:00:00-05:00","event_time_end_last":"2019-12-05T12:00:00-05:00","gmt_time_start":"2019-12-05 16:00:00","gmt_time_end":"2019-12-05 17:00:00","gmt_time_end_last":"2019-12-05 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"629179":{"id":"629179","type":"image","title":"Shubhangi Saraf ","body":null,"created":"1574282830","gmt_created":"2019-11-20 20:47:10","changed":"1574282830","gmt_changed":"2019-11-20 20:47:10","alt":"Shubhangi Saraf","file":{"fid":"239615","name":"photo-Shubhangi.jpg","image_path":"\/sites\/default\/files\/images\/photo-Shubhangi.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/photo-Shubhangi.jpg","mime":"image\/jpeg","size":40200,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/photo-Shubhangi.jpg?itok=T_tsIkIb"}}},"media_ids":["629179"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"628612":{"#nid":"628612","#data":{"type":"event","title":"SCS Colloquium: Yousef Khalidi","body":[{"value":"\u003Cp\u003ETITLE: \u0026nbsp;\u003Cem\u003ELessons from Designing, Building, and Operating a Hyper-scale Global Wide Area Network\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECloud computing has ushered in a new class of hyper-scale systems, characterized by large-scale distributed systems, global connectivity, and ubiquitous computing models that span the spectrum from centralized data centers to the edge. Powering these hyper-scales are global networks that connect end-users through various other networks and devices to the cloud. In this talk, we describe our journey in building the network of one of the biggest cloud systems, Microsoft Azure. This network is built out of 130K+ miles of terrestrial and subsea cables,\u0026nbsp; processes an average of 30 billion packets\/second, and interconnects with more than 20K peering points around the globe. We describe many of the technological and engineering building blocks that enable us to build and reliably operate this network, including innovations in fiber optics, software-defined networking, network design, switch software and global-scale monitoring, and simulation software.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EYousef Khalidi is responsible for product and program management for Azure Networking, which covers Microsoft\u0026rsquo;s global investments in cloud networking software and hardware. He drives strategic business planning, including world-wide partner coverage and deep integration with Microsoft services. Khalidi was a member of the team that conceived and built the initial version of Microsoft Azure (code named Red Dog) and has served in several engineering, product management, and architectural roles in Azure. Prior to joining Microsoft, Khalidi spent 14 years at Sun Microsystems, where he was a distinguished engineer. At Sun, he held several R\u0026amp;D, architecture, and management positions in enterprise software, including CTO and chief architect of Solaris, chief architect of Sun\u0026rsquo;s N1 utility computing platform, chief architect and director of the Sun Cluster product line, and as a principal architect of the Solaris MC and the Spring advanced development projects. Khalidi also served as a member of Sun\u0026rsquo;s Technical Advisory Council. Khalidi earned his bachelor\u0026rsquo;s degree in computer science from West Virginia University, where he graduated summa cum laude. He earned his M.S. and Ph.D. in information and computer science from Georgia Tech, with a minor in performance evaluation and statistics. Khalidi is a member of the Georgia Tech Advisory Board, as well as QCRI\u0026rsquo;s Scientific Advisory Committee. He holds over 50 patents in distributed systems, networking, and computer hardware.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":" Lessons from Designing, Building, and Operating a Hyper-scale Global Wide Area Network"}],"uid":"34541","created_gmt":"2019-11-05 16:45:27","changed_gmt":"2019-11-08 17:26:09","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-11-14T14:00:00-05:00","event_time_end":"2019-11-14T15:00:00-05:00","event_time_end_last":"2019-11-14T15:00:00-05:00","gmt_time_start":"2019-11-14 19:00:00","gmt_time_end":"2019-11-14 20:00:00","gmt_time_end_last":"2019-11-14 20:00:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food"],"hg_media":{"628613":{"id":"628613","type":"image","title":"Yousef Khalidi","body":null,"created":"1572972359","gmt_created":"2019-11-05 16:45:59","changed":"1572972359","gmt_changed":"2019-11-05 16:45:59","alt":"Yousef Khalidi","file":{"fid":"239405","name":"YousefKhalidi1_2014.jpg","image_path":"\/sites\/default\/files\/images\/YousefKhalidi1_2014.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/YousefKhalidi1_2014.jpg","mime":"image\/jpeg","size":1454276,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/YousefKhalidi1_2014.jpg?itok=U4j8N2QQ"}}},"media_ids":["628613"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"628662":{"#nid":"628662","#data":{"type":"event","title":"SCS Seminar Talk: Moinuddin Qureshi","body":[{"value":"\u003Cp\u003ETITLE:\u003Cem\u003E Reducing Errors in Quantum Computation via Program Transformation \u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EQuantum computing promises exponential speedups for an important class of problems. While quantum computers with few dozens of qubits have been demonstrated, these machines suffer from high rate of gate errors. Such machines are operated in the Noisy Intermediate Scale Quantum (NISQ) mode of computing where the output of the machine can be erroneous. In this talk, I will discuss some of our recent work that aims to improve the reliability of NISQ computers by developing software techniques to mitigate the hardware errors. Our first work (ASPLOS 2019) exploits the variability in the error rates of qubits to steer more operations towards qubits with lower error rates and avoid qubits that are error-prone.\u0026nbsp; Our second work (MICRO 2019) looks at executing different versions of the programs each crafted to cause diverse mistakes so that the machine becomes less vulnerable to correlated errors.\u0026nbsp; Our third work (MICRO 2019) looks at exploiting the state-dependent bias in measurement errors (state 1 is more error prone than state 0) and dynamically flips the state of the qubit to perform the measurement in the stronger state. We perform our evaluations on real quantum machines from IBM and demonstrate significant improvement in the overall system reliability. If time permits, I will also briefly discuss the hardware aspect of designing quantum computers, including cryogenic processor and cryogenic memory system.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMoinuddin Qureshi is a professor of electrical and computer engineering at the Georgia Institute of Technology. His research interests include computer architecture, memory systems, hardware security, and quantum computing. Previously, he was a research staff member (2007-2011) at IBM T.J. Watson Research Center, where he developed the caching algorithms for Power-7 processors. Qureshi has published more than 40 papers in top-tier architecture conferences and his research has received close to 9,000 citations. He is a member of the Hall of Fame of ISCA, Hall of Fame of MICRO, and Hall of Fame of HPCA. His research has been recognized with the best paper awards at MICRO 2018, CF 2019, and two selections (and three honorable mentions) at IEEE MICRO Top Picks. His ISCA 2009 paper on phase change memory was recently awarded the 2019 Persistent Impact Prize in recognition of \u0026ldquo;exceptional impact on the fields of study related to non-volatile memories.\u0026rdquo; He was the program chair of MICRO 2015 and selection committee co-chair of Top Picks 2017. He received his Ph.D. (2007) and M.S. (2003) from the University of Texas at Austin.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Reducing Errors in Quantum Computation via Program Transformation "}],"uid":"34541","created_gmt":"2019-11-06 17:24:56","changed_gmt":"2019-11-06 17:24:56","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-11-14T11:00:00-05:00","event_time_end":"2019-11-14T12:00:00-05:00","event_time_end_last":"2019-11-14T12:00:00-05:00","gmt_time_start":"2019-11-14 16:00:00","gmt_time_end":"2019-11-14 17:00:00","gmt_time_end_last":"2019-11-14 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"155101":{"id":"155101","type":"image","title":"Moin Qureshi","body":null,"created":"1449178859","gmt_created":"2015-12-03 21:40:59","changed":"1475894789","gmt_changed":"2016-10-08 02:46:29","alt":"Moin Qureshi","file":{"fid":"195264","name":"qureshi.jpg","image_path":"\/sites\/default\/files\/images\/qureshi_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/qureshi_0.jpg","mime":"image\/jpeg","size":47044,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/qureshi_0.jpg?itok=F3xwQNN_"}}},"media_ids":["155101"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576491","name":"CRNCH"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"628082":{"#nid":"628082","#data":{"type":"event","title":"IDEaS Distinguished Lecture 2019","body":[{"value":"\u003Cp\u003EThe Institute for Data Engineering and Science\u0026nbsp;presents the 2019 IDEaS Distinguished Lecture on Wednesday, November 6.\u0026nbsp;Peter S. Dodds, the Flint Professor of Mathematics and Statistics at the University of Vermont, will deliver\u0026nbsp;\u0026ldquo;The Science of Stories: Measuring and Exploring the Ecology of Human Stories with Lexical Instruments.\u0026rdquo; The event will be held\u0026nbsp;in the Klaus Advanced Computing Building, Rooms 1116 E \u0026amp; W,\u0026nbsp;from\u0026nbsp;3:00-4:00 p.m.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI will survey our efforts at the Computational Story Lab to measure and study a wide array of social and cultural phenomena using \u0026ldquo;lexical meters\u0026rdquo; \u0026mdash; online, interactive instruments that use social media and other texts to quantify population dynamics of human behavior. These include happiness, public health, obesity rates, and depression. I will explain how lexical meters work and how we have used them to uncover natural language encodings of positivity biases across cultures, universal emotional arcs of stories, links between social media posts and health, measures of fame and ultra-fame, and time compression for news. I will offer some thoughts on how fully developing a post-disciplinary, collaborative science of human stories is vital in our efforts to understand the evolution, stability, and fracturing of social systems.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPeter S. Dodds is the Flint Professor of Mathematics and Statistics at the University of Vermont. His research focuses on system-level big data problems in many areas, including language and stories, sociotechnical systems, contagion, and ecology. He is the director of UVM\u0026rsquo;s Complex Systems Center, co-director of UVM\u0026rsquo;s Computational Story Lab, and a visiting faculty fellow at the Vermont Advanced Computing Core. Dodds is the recipient of an NSF Career Award and has received funding from NSF, NASA, ONR, and the MITRE Corporation, among others.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe Institute for Data Engineering and Science\u0026nbsp;presents the 2019 IDEaS Distinguished Lecture on Wednesday, November 6.\u0026nbsp;Peter S. Dodds, the Flint Professor of Mathematics and Statistics at the University of Vermont, will deliver\u0026nbsp;\u0026ldquo;The Science of Stories: Measuring and Exploring the Ecology of Human Stories with Lexical Instruments.\u0026rdquo; The event will be held\u0026nbsp;in the Klaus Advanced Computing Building, Rooms\u0026nbsp;1116 E \u0026amp; W,\u0026nbsp;from\u0026nbsp;3:00-4:00 p.m.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Peter S. Dodds presents \u201cThe Science of Stories: Measuring and Exploring the Ecology of Human Stories with Lexical Instruments\u201d on November 6."}],"uid":"27255","created_gmt":"2019-10-25 16:04:53","changed_gmt":"2019-11-05 20:38:41","author":"Josie Giles","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-11-06T15:00:00-05:00","event_time_end":"2019-11-06T16:00:00-05:00","event_time_end_last":"2019-11-06T16:00:00-05:00","gmt_time_start":"2019-11-06 20:00:00","gmt_time_end":"2019-11-06 21:00:00","gmt_time_end_last":"2019-11-06 21:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"628086":{"id":"628086","type":"image","title":"Peter S. Dodds","body":null,"created":"1572021301","gmt_created":"2019-10-25 16:35:01","changed":"1572021301","gmt_changed":"2019-10-25 16:35:01","alt":"Peter S. Dodds","file":{"fid":"239171","name":"Peter_Dodds_900x900.jpg","image_path":"\/sites\/default\/files\/images\/Peter_Dodds_900x900.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Peter_Dodds_900x900.jpg","mime":"image\/jpeg","size":61242,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Peter_Dodds_900x900.jpg?itok=COvfD7vM"}}},"media_ids":["628086"],"related_links":[{"url":"http:\/\/ideas.gatech.edu\/","title":"Institute for Data Engineering and Science"},{"url":"https:\/\/www.uvm.edu\/pdodds\/","title":"Peter S. Dodds"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"545781","name":"Institute for Data Engineering and Science"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJosie Giles\u003Cbr \/\u003E\r\nIDEaS Marketing Communications Manager\u003Cbr \/\u003E\r\n\u003Ca href=\u0022mailto:josie@gatech.edu\u0022\u003Ejosie@gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"627547":{"#nid":"627547","#data":{"type":"event","title":"Be Your Best (Branded) Self: A Guide to Standing Out Online for Graduate Students","body":[{"value":"\u003Cp\u003EHaving a strong online presence is crucial in today\u0026#39;s technology-driven world, especially when it comes to hiring. To help you put your best (digital) foot forward, \u003Cstrong\u003Ethe\u003C\/strong\u003E \u003Cstrong\u003ECollege of Computing communications team will be hosting an interactive session on personal branding.\u003C\/strong\u003E The session will be geared specifically towards graduate-level students.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWe\u0026#39;ll walk you through the do\u0026#39;s and don\u0026#39;ts of \u003Cstrong\u003Esocial media\u003C\/strong\u003E, how to create\u0026nbsp;an amazing \u003Cstrong\u003Ewebsite\u003C\/strong\u003E, tips for becoming an all-star \u003Cstrong\u003Eacademic blogger\u003C\/strong\u003E, and more\u0026nbsp;so that your personality and your accomplishments shine bright to recruiters, journalists, and colleagues.\u0026nbsp;\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nCommunications professionals will also be available for one-on-one feedback on your existing profiles and \u003Cstrong\u003Eyou can get a professional headshot!\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBring your online profiles and get ready to make your mark as you enter the job market.\u0026nbsp;\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nP.S. there will be food.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Get real-time feedback and guidance on how to make your online profiles stand out to recruiters, journalists, and colleagues from communications professionals. "}],"uid":"34773","created_gmt":"2019-10-14 13:29:03","changed_gmt":"2019-10-29 19:36:38","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-11-19T12:00:00-05:00","event_time_end":"2019-11-19T14:00:00-05:00","event_time_end_last":"2019-11-19T14:00:00-05:00","gmt_time_start":"2019-11-19 17:00:00","gmt_time_end":"2019-11-19 19:00:00","gmt_time_end_last":"2019-11-19 19:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"628325":{"id":"628325","type":"image","title":"Be Your Best (Branded) Self: A Guide to Standing Out Online for Graduate Students","body":null,"created":"1572377770","gmt_created":"2019-10-29 19:36:10","changed":"1572377770","gmt_changed":"2019-10-29 19:36:10","alt":"","file":{"fid":"239291","name":"Be Your Best Branded Self_ A Guide to Standing Out Online for Graduate Students (1).png","image_path":"\/sites\/default\/files\/images\/Be%20Your%20Best%20Branded%20Self_%20A%20Guide%20to%20Standing%20Out%20Online%20for%20Graduate%20Students%20%281%29.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Be%20Your%20Best%20Branded%20Self_%20A%20Guide%20to%20Standing%20Out%20Online%20for%20Graduate%20Students%20%281%29.png","mime":"image\/png","size":128291,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Be%20Your%20Best%20Branded%20Self_%20A%20Guide%20to%20Standing%20Out%20Online%20for%20Graduate%20Students%20%281%29.png?itok=Mfga-BEn"}}},"media_ids":["628325"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"366","name":"Graduate"},{"id":"4407","name":"Graduate Student"},{"id":"4373","name":"professional development"},{"id":"1414","name":"career services"},{"id":"1577","name":"career"},{"id":"140171","name":"branding"},{"id":"10806","name":"personal branding"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"627697":{"#nid":"627697","#data":{"type":"event","title":"GT Computing Homecoming Weekend 2019","body":[{"value":"\u003Cp\u003EJoin the College of Computing as we celebrate homecoming weekend! We have several events planned throughout the weekend to welcome alumni and guests back\u0026nbsp;to the GT campus. We hope that through these events, we are not only able to celebrate homecoming, but reconnect with\u0026nbsp;alumni and friends as we share insight and ideas around the role of computing in society.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EGT Computing Homecoming Symposium on Responsible Computing\u003C\/strong\u003E\u003Cbr \/\u003E\r\n\u003Cem\u003EFriday, November 1\u0026nbsp;\u003C\/em\u003E\u003Cbr \/\u003E\r\n\u003Cem\u003E3:30pm-7pm\u003C\/em\u003E\u003Cbr \/\u003E\r\n\u003Cem\u003EKlaus Advanced Computing Building\u003C\/em\u003E\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nJoin alumni, faculty, staff, and friends of the College of Computing at the 2019 GT Computing Homecoming Symposium. The afternoon will begin with a welcome from Charles Isbell, the John P. Imlay Jr. Dean of Computing.\u0026nbsp;Following the welcome, guests may attend one of the two concurrent seminars on the theme of Responsible Computing:\u0026ldquo;Computing Impact on the Community\u0026ldquo; or \u0026ldquo;The Future of Computing and Privacy.\u0026rdquo;\u0026nbsp;We will cap off the afternoon with a reception for all of our attendees and panelists.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026quot;Computing Impact on the Community\u0026quot;\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EModerator:\u0026nbsp;\u003Ca href=\u0022https:\/\/gatech.us1.list-manage.com\/track\/click?u=de853fab347fb5756a5423781\u0026amp;id=bf390ff5c4\u0026amp;e=37f3bd5008\u0022 target=\u0022_blank\u0022\u003ELynn Durham\u003C\/a\u003E, Vice President of Institute Relations\u003C\/li\u003E\r\n\t\u003Cli\u003EPanelists:\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/gatech.us1.list-manage.com\/track\/click?u=de853fab347fb5756a5423781\u0026amp;id=722e22ba40\u0026amp;e=37f3bd5008\u0022 target=\u0022_blank\u0022\u003EDr. Betsy Disalvo\u003C\/a\u003E\u0026nbsp;- Associate Professor, School of Interactive Computing\u003C\/li\u003E\r\n\t\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/gatech.us1.list-manage.com\/track\/click?u=de853fab347fb5756a5423781\u0026amp;id=1d98321eb9\u0026amp;e=37f3bd5008\u0022 target=\u0022_blank\u0022\u003EDr. Carl Disalvo\u003C\/a\u003E\u0026nbsp;-\u0026nbsp;Associate Professor, School of Interactive Computing\u003C\/li\u003E\r\n\t\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/gatech.us1.list-manage.com\/track\/click?u=de853fab347fb5756a5423781\u0026amp;id=1f0cb7766a\u0026amp;e=37f3bd5008\u0022 target=\u0022_blank\u0022\u003EDr. David Joyner\u003C\/a\u003E, Assoc. Director of Student Experience (OMSCS) and Sr. Research Associate\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u0026quot;The Future of Computing and Privacy\u0026quot;\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EModerator:\u0026nbsp;\u003Ca href=\u0022https:\/\/gatech.us1.list-manage.com\/track\/click?u=de853fab347fb5756a5423781\u0026amp;id=5f75cf945f\u0026amp;e=37f3bd5008\u0022 target=\u0022_blank\u0022\u003EDr. Raheem Beyah\u003C\/a\u003E, Vice President for Interdisciplinary Research \u0026amp; Executive Director of the Online Masters of Cybersecurity program\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003EPanelists:\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/gatech.us1.list-manage.com\/track\/click?u=de853fab347fb5756a5423781\u0026amp;id=c758dc3695\u0026amp;e=37f3bd5008\u0022 target=\u0022_blank\u0022\u003EDr. Ayanna Howard\u003C\/a\u003E, Linda J. and Mark C. Smith Chair, and\u0026nbsp;Chair of the School of Interactive Computing\u003C\/li\u003E\r\n\t\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/gatech.us1.list-manage.com\/track\/click?u=de853fab347fb5756a5423781\u0026amp;id=b47b9fe488\u0026amp;e=37f3bd5008\u0022 target=\u0022_blank\u0022\u003EDr. Phyllis Schneck\u003C\/a\u003E, Vice President and Chief Information Security Officer for Northrop Grumman\u003C\/li\u003E\r\n\t\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/gatech.us1.list-manage.com\/track\/click?u=de853fab347fb5756a5423781\u0026amp;id=a9e3361e2f\u0026amp;e=37f3bd5008\u0022 target=\u0022_blank\u0022\u003EWarren Stramiello\u003C\/a\u003E, Cybersecurity Attorney at IBM\u0026nbsp;\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nKindly complete the\u0026nbsp;\u003Ca href=\u0022https:\/\/www.surveymonkey.com\/r\/GTComputingHomecoming2019\u0022 target=\u0022_blank\u0022\u003Eregistration\u003C\/a\u003E\u0026nbsp;form by Wednesday, October 30 at midnight.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EGT Computing Homecoming Football Block\u003C\/strong\u003E\u003Cbr \/\u003E\r\n\u003Cem\u003ESaturday, November 2\u0026nbsp;\u003C\/em\u003E\u003Cbr \/\u003E\r\n\u003Cem\u003EGame Time TBA\u003C\/em\u003E\u003Cbr \/\u003E\r\n\u003Cem\u003EBobby Dodd Stadium\u003C\/em\u003E\u003Cbr \/\u003E\r\n\u0026nbsp;\u003Cbr \/\u003E\r\nJoin the GT Computing Alumni Network (GTCAN) to cheer on the Yellow Jackets and receive a discount on tickets to the game. There are only 40 tickets available in the GTCAN block, and all tickets are available on a first come, first serve basis. Make sure to\u0026nbsp;\u003Ca href=\u0022https:\/\/fevo.me\/2N6xjTf\u0022 target=\u0022_blank\u0022\u003Eget your ticket\u003C\/a\u003E\u0026nbsp;by Thursday, Oct. 31.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"Join the College of Computing as we celebrate homecoming weekend! We have several events planned throughout the weekend to welcome alumni and guests back to the Georgia Tech campus. We hope that through these events, we are not only able to celebrate homecoming, but reconnect with alumni and friends as we share insight and ideas around the role of computing in society.\r\n","format":"plain_text"}],"field_summary_sentence":[{"value":"Celebrate Homecoming Weekend with GT Computing"}],"uid":"27355","created_gmt":"2019-10-16 21:38:41","changed_gmt":"2019-10-28 17:23:47","author":"Jennifer Whitlow","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-11-01T16:30:00-04:00","event_time_end":"2019-11-03T00:59:00-04:00","event_time_end_last":"2019-11-03T00:59:00-04:00","gmt_time_start":"2019-11-01 20:30:00","gmt_time_end":"2019-11-03 04:59:00","gmt_time_end_last":"2019-11-03 04:59:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"627698":{"id":"627698","type":"image","title":"GT Computing Homecoming Weekend 2019","body":null,"created":"1571262001","gmt_created":"2019-10-16 21:40:01","changed":"1571262001","gmt_changed":"2019-10-16 21:40:01","alt":"","file":{"fid":"239011","name":"Homecoming2019-2.png","image_path":"\/sites\/default\/files\/images\/Homecoming2019-2.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Homecoming2019-2.png","mime":"image\/png","size":56323,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Homecoming2019-2.png?itok=a3f5Z4w-"}}},"media_ids":["627698"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1789","name":"Conference\/Symposium"},{"id":"1795","name":"Seminar\/Lecture\/Colloquium"},{"id":"1793","name":"Sports\/Athletics"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"Jennifer Whitlow, M.Ed.\r\nDirector of Computing Enrollment \u0026 Alumni Engagement\r\nGeorgia Tech | College of Computing\r\njwhitlow@cc.gatech.edu\r\n","format":"plain_text"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"627394":{"#nid":"627394","#data":{"type":"event","title":"College of Computing Staff Retreat - 2019","body":[{"value":"\u003Cp\u003EDear Staff:\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDean Isbell believes strongly that the staff are an integral part of the College community. He believes just as strongly in the value of coming together in our Annual CoC Staff Retreat. We will discuss a number of important topics during this gathering. Please join us and take advantage of this opportunity to hear from campus leadership, to network, and to participate in team building activities.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe invitation details are\u0026nbsp;below.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAshtria Jordan\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESTAC CHAIR\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhat: \u003C\/strong\u003EThe CoC Staff Retreat\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhen:\u003C\/strong\u003E Tuesday, October 22, 2019 8:30 a.m. - 3 p.m.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EWhere: \u003C\/strong\u003EThe Bill Moore Student Success Center\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_3U80b5A2rsqLyol\u0022\u003ERSVP HERE!\u0026nbsp;\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"College of Computing Staff Retreat - 2019"}],"uid":"28150","created_gmt":"2019-10-09 16:46:35","changed_gmt":"2019-10-09 17:01:35","author":"Birney Robert","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-10-22T09:00:00-04:00","event_time_end":"2019-10-22T16:00:00-04:00","event_time_end_last":"2019-10-22T16:00:00-04:00","gmt_time_start":"2019-10-22 13:00:00","gmt_time_end":"2019-10-22 20:00:00","gmt_time_end_last":"2019-10-22 20:00:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food"],"hg_media":{"627393":{"id":"627393","type":"image","title":"2019 CoC Staff Retreat","body":null,"created":"1570638968","gmt_created":"2019-10-09 16:36:08","changed":"1570652969","gmt_changed":"2019-10-09 20:29:29","alt":"","file":{"fid":"238889","name":"STAC staff retreat_RSVP.v3 MailChimp hero.jpg","image_path":"\/sites\/default\/files\/images\/STAC%20staff%20retreat_RSVP.v3%20MailChimp%20hero.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/STAC%20staff%20retreat_RSVP.v3%20MailChimp%20hero.jpg","mime":"image\/jpeg","size":465518,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/STAC%20staff%20retreat_RSVP.v3%20MailChimp%20hero.jpg?itok=zSLgIcu2"}}},"media_ids":["627393"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"26411","name":"Training\/Workshop"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAstria Jordan\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eajordan@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"626408":{"#nid":"626408","#data":{"type":"event","title":"Mary Jean Harrold Memorial Distinguished Lecture: Mary Lou Soffa","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003ESoftware Testing: And the Challenges (and Opportunities) Keep Coming!\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDisruptive shifts in software application types and software development environments create challenges to software testing that need to be addressed to ensure software quality and reduce the cost of software development time. Over the years, the size and complexity of software have grown as well as the need for fast-changing codebases, fault detection strategies, and test case generation and selection. To meet these challenges, techniques such as regression testing, selection\/prioritization, and fault localization have been developed as well as specialized testing techniques for GUIs, object-oriented software, mobile computing, and continuous evolution of software to name a few. This talk presents an overview of these challenges and solutions and references Mary Jean Harrold\u0026rsquo;s achievements in these areas. The talk then explores current challenges and opportunities that bring problems that cannot be solved by state of art techniques, including applications that are machine learning applications or use machine learning as part of a system where components interact and evolve.\u0026nbsp; Other challenges that need to be explored involve autonomous systems, cloud applications, and data churn. As software becomes more autonomous, its operations and outputs become less predictable at test writing time; hence, the traditional nature of assert (Actual, Expected) test oracles does not work and needs to be addressed.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMary Lou Soffa is the Owen R. Cheatham Professor of Sciences in the Computer Science Department at the University of Virginia, serving as the department chair from 2004 to 2012.\u0026nbsp;\u0026nbsp; Her research interests include software testing, program analysis,\u0026nbsp; warehouse scale computing, software systems for multi-core architectures, and optimizing compilers. She has published over 175 articles and has directed 32 Ph.D. students to completion, half of whom are women and including Mary Jean Harrold.\u0026nbsp;\u0026nbsp; Soffa\u0026nbsp; is an ACM and IEEE Fellow. Other notable awards include the Ken Kennedy Award for contributions to compiler technology, the IEEE Software Engineering Women in Science and Engineering Leadership Award,\u0026nbsp; and the Anita Borg Technical Leadership Award.\u0026nbsp; For her career-long dedication to diversity in computing, she received the Presidential Award for Excellence in Science, Mathematics and Engineering Mentoring and\u0026nbsp; Computing Research Association (CRA) Nico Habermann Award.\u0026nbsp; She has served as conference chair, program chair, or program committee member for conferences in programming languages, architecture, and software engineering.\u0026nbsp;\u0026nbsp; She served on the ACM Publications Board and on the Computer Research Association Board (CRA). She co-founded the CRA-W Graduate Cohort for Women, the Cohort for Associate Professors and the Grad Cohort for Underrepresented Minorities and Persons with Disabilities.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Software Testing: And the Challenges (and Opportunities) Keep Coming!"}],"uid":"34541","created_gmt":"2019-09-19 14:29:12","changed_gmt":"2019-09-19 15:22:24","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-11-08T14:00:00-05:00","event_time_end":"2019-11-08T15:00:00-05:00","event_time_end_last":"2019-11-08T15:00:00-05:00","gmt_time_start":"2019-11-08 19:00:00","gmt_time_end":"2019-11-08 20:00:00","gmt_time_end_last":"2019-11-08 20:00:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food"],"hg_media":{"626409":{"id":"626409","type":"image","title":"Mary Lou Soffa","body":null,"created":"1568903389","gmt_created":"2019-09-19 14:29:49","changed":"1568903389","gmt_changed":"2019-09-19 14:29:49","alt":"Mary Lou Soffa","file":{"fid":"238488","name":"1513393b01f2b9553aa59c8db5cc32e3.jpg","image_path":"\/sites\/default\/files\/images\/1513393b01f2b9553aa59c8db5cc32e3.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/1513393b01f2b9553aa59c8db5cc32e3.jpg","mime":"image\/jpeg","size":210460,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/1513393b01f2b9553aa59c8db5cc32e3.jpg?itok=-nF-pzQu"}}},"media_ids":["626409"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"626397":{"#nid":"626397","#data":{"type":"event","title":"ABLE Alliance at Georgia Tech Fall Kick Off and Social Mixer","body":[{"value":"\u003Cp\u003EThe ABLE Alliance at Georgia Tech is a new organization for GT students, faculty, and staff dedicated to improving on-campus disability inclusion via access \u0026amp; resource sharing, community \u0026amp; social support, and professional \u0026amp; career mentoring.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWe welcome EVERYONE of all abilities and all allies that support our cause.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis is a drop-in event from 11 AM - 1 PM and will serve free Chick-fil-A sandwiches. Come eat and hang out with ABLE allies, and learn about volunteer and paid opportunities.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABLE is especially looking for \u0026quot;allies\u0026quot;, including students in\u0026nbsp;advanced classes in CS, CSE, Math, who can help with paid note-taking and scribing tests (paid by the hour by Disability Services.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor more information please contact\u0026nbsp;\u003Ca href=\u0022mailto:gtablealliance@gmail.com\u0022\u003Egtablealliance@gmail.com\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The ABLE Alliance at Georgia Tech Fall Kick Off and Social Mixer will be held on Sept. 27 at 11 AM."}],"uid":"34773","created_gmt":"2019-09-18 21:32:43","changed_gmt":"2019-09-18 21:37:00","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-09-27T12:00:00-04:00","event_time_end":"2019-09-27T14:00:00-04:00","event_time_end_last":"2019-09-27T14:00:00-04:00","gmt_time_start":"2019-09-27 16:00:00","gmt_time_end":"2019-09-27 18:00:00","gmt_time_end_last":"2019-09-27 18:00:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food"],"hg_media":{"626394":{"id":"626394","type":"image","title":"The ABLE Alliance at Georgia Tech Fall Kick-Off and Social Mixer will be held on Friday, Sept. 27.","body":null,"created":"1568842078","gmt_created":"2019-09-18 21:27:58","changed":"1568842078","gmt_changed":"2019-09-18 21:27:58","alt":"","file":{"fid":"238484","name":"Screen Shot 2019-09-18 at 2.25.52 PM.png","image_path":"\/sites\/default\/files\/images\/Screen%20Shot%202019-09-18%20at%202.25.52%20PM.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Screen%20Shot%202019-09-18%20at%202.25.52%20PM.png","mime":"image\/png","size":936871,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Screen%20Shot%202019-09-18%20at%202.25.52%20PM.png?itok=Kaoyh_Sv"}}},"media_ids":["626394"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EGeorgia Tech ABLE Alliance\u003C\/p\u003E\r\n\r\n\u003Cp\u003Egtablealliance@gmail.com\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"625978":{"#nid":"625978","#data":{"type":"event","title":"SCS Distinguished Lecture: Mahadev (Satya) Satyanarayanan ","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EEdge Computing: A New Disruptive Force\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAt the height of its success, cloud computing is yielding to edge computing. Why is this happening? What is the unique value proposition of edge computing? As real-world deployments of edge computing appear, how will the lives of end users be improved? What new applications and capabilities will they see?\u0026nbsp; Which applications run best at the edge, which run best in the cloud, and which should straddle the edge and cloud?\u0026nbsp;\u0026nbsp; How do we build systems that are seamless to the user but leverage all the available tiers of computing to best effect? Based on my team\u0026rsquo;s decade-long exploration of edge computing, I will share my insights on these questions.\u0026nbsp; Of particular interest is a new class of\u0026nbsp; \u0026ldquo;wearable cognitive assistance\u0026rdquo; applications that lie at the convergence of edge computing, wearable devices, and cognitive algorithms (e.g. computer vision, speech recognition, natural language processing).\u0026nbsp;\u0026nbsp; Drawing upon insights from these edge-native applications,\u0026nbsp; I will explore what hardware and software infrastructure is needed for edge computing.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESatya\u0026rsquo;s multi-decade research career has focused on the challenges of performance, scalability, availability, and trust in information systems that reach from the cloud to the mobile edge of the internet. In the course of this work, he has pioneered many advances in distributed systems, mobile computing, pervasive computing, and the internet of things (IoT). As described in How we created edge computing, Satya\u0026rsquo;s seminal 2009 publication The Case for VM-based Cloudlets in Mobile Computing, and the ensuing research has\u0026nbsp; led to the emergence of edge computing (also known as fog computing).\u0026nbsp; Satya is the Carnegie Group Professor of Computer Science at Carnegie Mellon University. He received his Ph.D. in computer science from Carnegie Mellon after bachelor\u0026rsquo;s and master\u0026rsquo;s degrees from the Indian Institute of Technology, Madras. He is a Fellow of the ACM and the IEEE. For a more detailed bio, see Satya\u0026rsquo;s Wikipedia entry.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Edge Computing: A New Disruptive Force"}],"uid":"34541","created_gmt":"2019-09-10 19:33:43","changed_gmt":"2019-09-10 19:34:45","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-10-11T15:00:00-04:00","event_time_end":"2019-10-11T16:00:00-04:00","event_time_end_last":"2019-10-11T16:00:00-04:00","gmt_time_start":"2019-10-11 19:00:00","gmt_time_end":"2019-10-11 20:00:00","gmt_time_end_last":"2019-10-11 20:00:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food"],"hg_media":{"625979":{"id":"625979","type":"image","title":"Satya","body":null,"created":"1568144049","gmt_created":"2019-09-10 19:34:09","changed":"1568144049","gmt_changed":"2019-09-10 19:34:09","alt":"Satya","file":{"fid":"238309","name":"satyaphoto.jpeg","image_path":"\/sites\/default\/files\/images\/satyaphoto.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/satyaphoto.jpeg","mime":"image\/jpeg","size":234276,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/satyaphoto.jpeg?itok=ME5K1YpS"}}},"media_ids":["625979"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"625535":{"#nid":"625535","#data":{"type":"event","title":"Change Accelerator Info Session","body":[{"value":"\u003Cp\u003EThe Center for Deliberate Innovation is launching the new\u0026nbsp;Change\u0026nbsp;Accelerator program. This program\u0026nbsp;will make the Deliberate Innovation process, developed through Flashpoint@GT, available to GT-affiliated individuals and teams with a vision for academic and research-oriented innovation. If you think that you have a project that might be advanced by\u0026nbsp;working\u0026nbsp;in a community of like-minded peers, in addition to using the latest tools and techniques, we would like to invite you to apply to the inaugural cohort of the\u0026nbsp;Change\u0026nbsp;Accelerator.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETo learn more about the\u0026nbsp;Change\u0026nbsp;Accelerator\u0026nbsp;and the application process, please visit the CDI\u0026nbsp;\u003Ca href=\u0022https:\/\/cdi.gatech.edu\/apply.html\u0022 title=\u0022https:\/\/cdi.gatech.edu\/apply.html\u0022\u003Ewebsite\u003C\/a\u003E.\u0026nbsp;Applications close September 15th, 11:59 pm.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAn on-campus\u0026nbsp;\u003Cstrong\u003EInformation Session\u003C\/strong\u003E\u0026nbsp;will be held on\u0026nbsp;\u003Cstrong\u003ESeptember 5th\u003C\/strong\u003E\u0026nbsp;from\u0026nbsp;\u003Cstrong\u003E4:00 to 6:00 p.m.\u003C\/strong\u003E\u0026nbsp;to assist potential participants with knowledge about Deliberate Innovation, the methods to be employed during the cohort, as well as information that might be useful in preparing applications.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EClick\u0026nbsp;\u003Ca href=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_e8QkYBOcrkx6Atv\u0022 title=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_e8QkYBOcrkx6Atv\u0022\u003Ehere\u003C\/a\u003E\u0026nbsp;to sign up for the information session.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Do you have an innovative idea that is academic or research-oriented? Your concept may be the perfect fit for the Center for Deliberate Innovation\u2019s new Change Accelerator program."}],"uid":"27998","created_gmt":"2019-09-03 19:52:43","changed_gmt":"2019-09-03 19:52:43","author":"Brittany Aiello","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-09-05T17:00:00-04:00","event_time_end":"2019-09-05T19:00:00-04:00","event_time_end_last":"2019-09-05T19:00:00-04:00","gmt_time_start":"2019-09-05 21:00:00","gmt_time_end":"2019-09-05 23:00:00","gmt_time_end_last":"2019-09-05 23:00:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food"],"groups":[{"id":"66244","name":"C21U"},{"id":"47223","name":"College of Computing"},{"id":"131901","name":"Provost"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"},{"id":"603290","name":"The Digital Learning Team"}],"categories":[],"keywords":[{"id":"182202","name":"CDI"},{"id":"182203","name":"Center for Deliberate Innovation"},{"id":"182204","name":"Deliberate Innovation"},{"id":"182205","name":"Nammy Vedire"},{"id":"182206","name":"Change Accelerator"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ENammy Vedire\u003C\/p\u003E\r\n\r\n\u003Cp\u003Enamratha.vedire@cc.gatech.edu\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"624690":{"#nid":"624690","#data":{"type":"event","title":"Undergraduate Research Opportunities in Computing (UROC) Job Fair","body":[{"value":"\u003Cp\u003EWhether you plan to go on to graduate school or a job in industry, doing undergraduate research will bolster your\u0026nbsp;r\u0026eacute;sum\u0026eacute;\u0026nbsp;and broaden your post-grad opportunities.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EEach year the College holds a special\u0026nbsp;UROC\u0026nbsp;job fair in which faculty talk about their research projects and describe the kinds of positions open to undergraduates.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESeveral options may be available including:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003ECash! (get paid)\u003C\/li\u003E\r\n\t\u003Cli\u003ECredit! (elective credit)\u003C\/li\u003E\r\n\t\u003Cli\u003EKarma! (volunteer)\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Ch4\u003E\u003Cstrong\u003ECan I do interdisciplinary research?\u003C\/strong\u003E\u003C\/h4\u003E\r\n\r\n\u003Cp\u003EAbsolutely. If your advisor is from your home department, your reader may be from another department. If you wish to complete Research Option with a primary advisor not from your own degree program, then you need to write a short proposal explaining what sort of research you plan to do. This proposal must be approved by the\u0026nbsp;UROC\u0026nbsp;faculty committee. Before you write it up, email\u0026nbsp;\u003Ca href=\u0022mailto:uroc%40cc.gatech.edu\u0022\u003Euroc@cc.gatech.edu\u003C\/a\u003E\u0026nbsp;and we\u0026#39;ll set up an appointment to discuss your plans with you. All reasonable plans are approved.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Whether you plan to go on to graduate school or a job in industry, doing undergraduate research will bolster your\u00a0r\u00e9sum\u00e9\u00a0and broaden your post-grad opportunities.\u00a0"}],"uid":"27592","created_gmt":"2019-08-16 20:59:34","changed_gmt":"2019-08-16 21:02:25","author":"Joshua Preston","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-08-20T17:00:00-04:00","event_time_end":"2019-08-20T19:00:00-04:00","event_time_end_last":"2019-08-20T19:00:00-04:00","gmt_time_start":"2019-08-20 21:00:00","gmt_time_end":"2019-08-20 23:00:00","gmt_time_end_last":"2019-08-20 23:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"624691":{"id":"624691","type":"image","title":"UROC","body":null,"created":"1565989207","gmt_created":"2019-08-16 21:00:07","changed":"1565989207","gmt_changed":"2019-08-16 21:00:07","alt":"","file":{"fid":"237861","name":"undergrad_research.jpg","image_path":"\/sites\/default\/files\/images\/undergrad_research.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/undergrad_research.jpg","mime":"image\/jpeg","size":661781,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/undergrad_research.jpg?itok=k_6ykEBH"}}},"media_ids":["624691"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:scott.gilliland@gatech.edu?subject=UROC%20Job%20Fair\u0022\u003EScott Gilliland\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"620630":{"#nid":"620630","#data":{"type":"event","title":"ML@GT Seminar: Matthias Grossglauser, EPFL","body":[{"value":"\u003Cp\u003EThe Machine Learning Center at Georgia Tech invites you to a seminar by\u0026nbsp;Matthias Grossglauser, an associate professor in the School of Computer and Communication Sciences at EPFL. The seminar will be at 11 a.m. on Monday, April 22 at the College of Computing (CCB), Room 345.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nTITLE\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESo Many Choices, So Little Time: Learning from Comparison and Rank Data\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe digital world offers infinite possibilities, which forces us to make choices all the time: we click on a search result in a list, choose a song from iTunes, or pick a restaurant on Yelp. Because of the central role of choosing, there is an abundance of data capturing comparisons (or rankings) over alternatives. This has led to a resurgence of interest in discrete-choice models in the machine learning community. In this talk, we discuss several recent results in this context.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nFirst, we discuss large-scale inference of the\u0026nbsp;Plackett-Luce\u0026nbsp;(PL) model, a widely used probabilistic choice model. We formulate a new iterative spectral algorithm that produces a sequence of estimates that provably converges to the ML estimator. It is considerably faster than competing approaches, and enables choice models to be applied to much larger datasets than previously possible.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nSecond, we consider a situation where choices are constrained: one navigates a network structure, e.g., surfing the web or navigating on a map, and is forced to make a decision at each web page or road intersection about where to go next. Crucially, we assume that only the total marginal counts for each vertex are available, so that the individual transitions (traffic on links) are not observable. This leads to a new node metric we term ChoiceRank, which measures the utility of a node in the network independently of the network structure. We show through extensive experiments with real data that ChoiceRank recovers link traffic more faithfully than other alternatives, such as PageRank.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nThird, we revisit inference for the PL model in an active learning setting, where we can ask an oracle for comparisons and get noisy answers. Our goal is to recover the ranking accurately by asking as few questions as possible. We develop a method to learn the model parameters whose statistical performance is comparable to prior work, but whose computational efficiency is dramatically better. To show this result, we first prove that the performance of classical sorting algorithms degrades benignly under noise. The strategy is then to simply sort all the items repeatedly until the budget is exhausted, and to combine the results into an overall ranking. This strategy performs as well as state-of-the-art methods (and much better than random sampling) at a minuscule fraction of the computational cost.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO\u003Cbr \/\u003E\r\nMatthias Grossglauser is Associate Professor in the School of Computer and Communication Sciences at EPFL. His current research interests center on machine learning and data analytics for large social systems, including stochastic models and algorithms for graph and mobility processes, and recommender systems. He is also the director of EPFL\u0026#39;s Doctoral School in Computer and Communication Sciences.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nFrom 2007-2010, he was with the Nokia Research Center (NRC) in Helsinki, Finland, serving as director of the Internet Laboratory, and driving a tech-transfer program focused on applied data mining and machine learning. In addition, he served on Nokia\u0026#39;s CEO Technology Council, a technology advisory group reporting to the CEO. Prior to this, he was Assistant Professor at EPFL, and Principal Research Scientist in the Networking and Distributed Systems Laboratory at AT\u0026amp;T Research in New Jersey.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nHe received the 1998 Cor Baayen Award from the European Research Consortium for Informatics and Mathematics (ERCIM), and the 2006 CoNEXT\/SIGCOMM Rising Star Award.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The Machine Learning Center at Georgia Tech invites you to a seminar by\u00a0Matthias Grossglauser, an associate professor in the School of Computer and Communication Sciences at EPFL. "}],"uid":"34773","created_gmt":"2019-04-18 17:58:49","changed_gmt":"2019-04-18 17:58:49","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-04-22T12:00:00-04:00","event_time_end":"2019-04-22T13:00:00-04:00","event_time_end_last":"2019-04-22T13:00:00-04:00","gmt_time_start":"2019-04-22 16:00:00","gmt_time_end":"2019-04-22 17:00:00","gmt_time_end_last":"2019-04-22 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ENegar Kiyavash\u003C\/p\u003E\r\n\r\n\u003Cp\u003Enegar.kiyavash@ece.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"620447":{"#nid":"620447","#data":{"type":"event","title":"Visualization Distinguished Lecture - Alberto Cairo, University of Miami, April 22, 12 pm, TSRB Auditorium","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHow the Public Misinterprets Visualizations \u0026mdash;and what we can do about it\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EData visualization is a powerful way to uncover patterns in data, and to communicate insights and stories to the public. This is why charts, maps, diagrams, and infographics are becoming increasingly popular in the sciences and journalism. However, recent evidence suggests that non-expert readers aren\u0026#39;t well equipped to interpret visualizations correctly. What can scientists, statisticians, journalists, and designers do to overcome this challenge?\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBiography\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlberto Cairo is the Knight Chair in Visual Journalism at the University of Miami. He also works for UM\u0026#39;s Center for Computational Science, and as a permanent consultant for companies and organizations such as Google and the Congressional Budget Office. Before becoming a professor he was a director of information graphics and multimedia at news publications in Spain in Brazil for more than a decade. He is the author of the upcoming How Charts Lie: Getting Smarter About Visual Information (October 2019) and The Truthful Art: Data, Charts, and Maps for Communication (2016). His Twitter handle is\u0026nbsp;\u0026nbsp;@AlbertoCairo.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Renowned data visualization and journalism expert Alberto Cairo will provide a talk on why the public misinterprets visualizations and how to prevent it."}],"uid":"33939","created_gmt":"2019-04-16 05:51:43","changed_gmt":"2019-04-16 13:35:20","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-04-22T13:00:00-04:00","event_time_end":"2019-04-22T14:00:00-04:00","event_time_end_last":"2019-04-22T14:00:00-04:00","gmt_time_start":"2019-04-22 17:00:00","gmt_time_end":"2019-04-22 18:00:00","gmt_time_end_last":"2019-04-22 18:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"620454":{"id":"620454","type":"image","title":"Distinguished Visualization Lecture 2019 - Alberto Cairo","body":null,"created":"1555421577","gmt_created":"2019-04-16 13:32:57","changed":"1555421577","gmt_changed":"2019-04-16 13:32:57","alt":"","file":{"fid":"236246","name":"Ablerto Cairo_4:22:2019 vis lecture.png","image_path":"\/sites\/default\/files\/images\/Ablerto%20Cairo_4%3A22%3A2019%20vis%20lecture.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Ablerto%20Cairo_4%3A22%3A2019%20vis%20lecture.png","mime":"image\/png","size":985795,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Ablerto%20Cairo_4%3A22%3A2019%20vis%20lecture.png?itok=QRfu7BEE"}}},"media_ids":["620454"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"620377":{"#nid":"620377","#data":{"type":"event","title":"GVU Center Research Showcase","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EVirtual reality, robotics, civic computing, information visualization and artificial intelligence are just a few of the research areas that come to life at the GVU Center Research Showcase and show how technology impacts the many ways society can benefit from these innovations.\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe \u003Ca href=\u0022https:\/\/gvu.gatech.edu\/gvu-center-research-showcase\u0022\u003EGVU Center Research Showcase\u003C\/a\u003E invites you to experience Georgia Tech research in human-centered technology that enhances our communities and impacts how we live day-to-day. More than 100 interactive projects will let you touch, control and imagine what technology will enable in the future.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe event is co-sponsored by the\u0026nbsp;\u003Ca href=\u0022http:\/\/dm.lmc.gatech.edu\/\u0022\u003EDigital Media Graduate Program\u003C\/a\u003E\u0026nbsp;in the spring and is part of the\u0026nbsp;\u003Ca href=\u0022http:\/\/ipat.gatech.edu\/industry-innovation-day\u0022\u003EInstitute for People and Technology\u0026#39;s Industry Innovation Day\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Ch4\u003E\u003Cstrong\u003EThe GVU Center Research Showcase offers:\u003C\/strong\u003E\u003C\/h4\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EHands-on and interactive demonstrations to\u0026nbsp;\u003Cstrong\u003Eexperience technology\u003C\/strong\u003E\u0026nbsp;in a wide variety of formats.\u003C\/li\u003E\r\n\t\u003Cli\u003EResearch from more than 30 labs with\u0026nbsp;\u003Cstrong\u003Especialties that cover broad areas\u003C\/strong\u003E\u0026nbsp;such as mobile and wearable technology, digital media, transportation, online communities, artificial intelligence, game development, graphics, user interfaces and much more.\u003C\/li\u003E\r\n\t\u003Cli\u003ENetworking with industry representatives and\u0026nbsp;\u003Cstrong\u003Eaccess to researchers\u003C\/strong\u003E\u0026nbsp;and their latest work.\u003C\/li\u003E\r\n\t\u003Cli\u003EA range of\u0026nbsp;\u003Cstrong\u003Einnovative ideas, interfaces and devices\u003C\/strong\u003E\u0026nbsp;that can only be experienced here.\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe GVU Center Research Showcase is a biannual event that\u0026nbsp;shows some of Georgia Tech\u0026#39;s latest work in\u0026nbsp;human-centered technology research and allows visitors to understand its potential impact in society.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"The GVU Center Research Showcase is a biannual event that\u00a0shows some of Georgia Tech\u0027s latest work in\u00a0human-centered technology research and allows visitors to understand its potential impact in society."}],"uid":"27592","created_gmt":"2019-04-12 17:38:37","changed_gmt":"2019-04-12 17:38:37","author":"Joshua Preston","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-04-18T15:00:00-04:00","event_time_end":"2019-04-18T18:00:00-04:00","event_time_end_last":"2019-04-18T18:00:00-04:00","gmt_time_start":"2019-04-18 19:00:00","gmt_time_end":"2019-04-18 22:00:00","gmt_time_end_last":"2019-04-18 22:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"69599","name":"IPaT"},{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EGVU Center at Georgia Tech\u003C\/p\u003E\r\n\r\n\u003Cp\u003Egvu@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"619270":{"#nid":"619270","#data":{"type":"event","title":"SCS Recruiting Seminar: Brandon Reagen","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EHardware Accelerators for Deep Learning: a Proving Ground for\u003Cbr \/\u003E\r\nSpecialized Computing\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe computing industry has a power problem: the days of ideal transistor scaling are over, and chips now have more devices than can be fully powered simultaneously, limiting performance. New architecture-level solutions are needed to continue scaling performance, and specialized hardware accelerators are one such solution. While accelerators promise to provide orders of magnitude more performance per watt, several challenges have limited their wide-scale adoption.\u003Cbr \/\u003E\r\n\u0026nbsp;\u003Cbr \/\u003E\r\nDeep learning has emerged as a sort of proving ground for hardware acceleration. With extremely regular compute patterns and wide-spread use, if accelerators can\u0026rsquo;t work here, then there\u0026rsquo;s little hope elsewhere. For accelerators to be a viable solution they must enable computation that cannot be done today and demonstrate mechanisms for performance scaling, such that they are not a one-off solution. This talk will present deep learning algorithm-hardware co-designs to answer these questions and identify the efficiency gap between standard hardware design practices and full-stack co-design to enable deep learning to be used with little restriction. To push the efficiency limits, this talk will introduce principled unsafe optimizations. A principled unsafe optimization changes how a program executes without impacting accuracy. By breaking the contract between the algorithm, architecture, and circuits, efficiency can be greatly improved. To conclude, future research directions centering around hardware specialization will be presented: accelerator-centric architectures and privacy-preserving cloud computing.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBrandon Reagen is a computer architect with a focus on specialized hardware (i.e. accelerators) with applications in deep learning. He received his Ph.D. from Harvard in May of 2018. Over the course of his Ph.D., Reagen made several research contributions to lower the barrier of using accelerators as general architectural constructs including benchmarking, simulation infrastructure, and SoC design. Using his knowledge of accelerator design, he led the way in highly efficient and accurate deep learning accelerator design with his work on principled unsafe optimizations. In his thesis, he found that for DNN inference intricate, full-stack co-design between the robust nature of the algorithm and the circuits they execute on can result in nearly an order of magnitude more power-efficiency compared to standard ASIC design practices. His work has been published in conferences ranging from architecture, ML, CAD, and circuits. Reagen is now a research scientist at Facebook in the AI Infrastructure team.\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Hardware Accelerators for Deep Learning: a Proving Ground for  Specialized Computing"}],"uid":"34541","created_gmt":"2019-03-14 16:36:38","changed_gmt":"2019-04-09 17:42:55","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-04-18T12:00:00-04:00","event_time_end":"2019-04-18T13:00:00-04:00","event_time_end_last":"2019-04-18T13:00:00-04:00","gmt_time_start":"2019-04-18 16:00:00","gmt_time_end":"2019-04-18 17:00:00","gmt_time_end_last":"2019-04-18 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"619271":{"id":"619271","type":"image","title":"Brandon Reagen","body":null,"created":"1552581427","gmt_created":"2019-03-14 16:37:07","changed":"1552581427","gmt_changed":"2019-03-14 16:37:07","alt":"Brandon Reagen","file":{"fid":"235753","name":"reagen_headshot.jpg","image_path":"\/sites\/default\/files\/images\/reagen_headshot.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/reagen_headshot.jpg","mime":"image\/jpeg","size":647520,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/reagen_headshot.jpg?itok=obpan0Ny"}}},"media_ids":["619271"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"620124":{"#nid":"620124","#data":{"type":"event","title":"ML@GT Panel Discussion with Siemens Corporation ","body":[{"value":"\u003Cp\u003EThe Machine Learning Center at Georgia Tech invites you to an interactive panel discussion featuring four Siemens employees. All of the employees have participated in Siemens\u0026#39; rotational program and will be discussing the program, their university experience and the success they have had thus far at Siemens Corporation.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003EBIOGRAPHIES\u003C\/strong\u003E\u003Cbr \/\u003E\r\n\u003Cstrong\u003ECaroline Hester \u003C\/strong\u003Eis currently participating\u0026nbsp;in the Engineering Leadership Development Program at Siemens Corporation. She holds a bachelors degree in Computer Engineering from Clemson University where she was a member of IEEE, HKN, and played club tennis. Hester co-op\u0026#39;ed\u0026nbsp;with BMW Manufacturing in the electrics\/electronics validation department.\u0026nbsp;\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003ERyan McCabe\u003C\/strong\u003E is a member of the Technical Marketing Leadership Development Program at Siemens Corporation. He holds a B.S. in electrical\u0026nbsp;engineering and a minor in engineering entrepreneurship from Penn State. McCabe has built three start-ups, RMAC Industries, BitcoinBillionaire, and ThinkTek.\u0026nbsp;\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003EEyad\u0026nbsp;Muammar \u003C\/strong\u003Eis the director of finance and administration at Siemens Corporation. He began his career at Siemens as a plant analyst intern before becoming a part of the finance leadership development program.\u0026nbsp;Muammar is an alumnus of Georgia Tech, and holds a bachelors in Management, Finance and Accounting.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nInformation to come on\u0026nbsp;\u003Cstrong\u003EKatiushka Santillan\u003C\/strong\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The Machine Learning Center at Georgia Tech will be hosting an interactive panel discussion featuring four Siemens employees."}],"uid":"34773","created_gmt":"2019-04-05 17:37:16","changed_gmt":"2019-04-05 17:37:16","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-04-16T13:00:00-04:00","event_time_end":"2019-04-16T14:30:00-04:00","event_time_end_last":"2019-04-16T14:30:00-04:00","gmt_time_start":"2019-04-16 17:00:00","gmt_time_end":"2019-04-16 18:30:00","gmt_time_end_last":"2019-04-16 18:30:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food"],"hg_media":{"620122":{"id":"620122","type":"image","title":"Siemens Corporation ","body":null,"created":"1554481907","gmt_created":"2019-04-05 16:31:47","changed":"1554481907","gmt_changed":"2019-04-05 16:31:47","alt":"","file":{"fid":"236107","name":"86a8e1c8-0cab-4d1b-b8c3-6e1d481fad17-1024x433.jpg","image_path":"\/sites\/default\/files\/images\/86a8e1c8-0cab-4d1b-b8c3-6e1d481fad17-1024x433.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/86a8e1c8-0cab-4d1b-b8c3-6e1d481fad17-1024x433.jpg","mime":"image\/jpeg","size":33570,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/86a8e1c8-0cab-4d1b-b8c3-6e1d481fad17-1024x433.jpg?itok=giI-F-6k"}}},"media_ids":["620122"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"37041","name":"Computational Science and Engineering"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKyla Hanson\u003C\/p\u003E\r\n\r\n\u003Cp\u003EProgram Manager\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ekhanson@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"619514":{"#nid":"619514","#data":{"type":"event","title":"SCS Recruiting Seminar: Alexey Tumanov","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EResource Management and Scheduling for Emerging AI Applications\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EA new class of artificial intelligence applications is emerging that imposes a challenging set of requirements on how we program the cloud and how we manage cloud resources efficiently. With the end of Moore\u0026rsquo;s law and Dennard scaling, coupled with simultaneous increase in the heterogeneity of increasingly interactive AI applications with end-to-end latency constraints, the future of AI systems depends on advances in resource management and scheduling for these applications. First, these applications generate an increasingly heterogeneous set of tasks, both in the resources optimal for their performance and in the time scale of individual tasks. Second, they are increasingly user-facing, imposing a set of soft real-time constraints on the frameworks serving these workloads. Third, they individually expect or benefit from heterogeneous and often conflicting resource allocation policies \u0026mdash; a challenge for unifying frameworks that aim to support them. Thus, a set of three emergent requirements must be efficiently addressed: (1) heterogeneity awareness in space and time, (2) soft real-time end-to-end latency constraints, and (3) scheduling policy heterogeneity at the application level. To address these requirements, I will present (1) TetriSched \u0026mdash; a mathematical framework to capture the performance as a function of resource space and timeliness requirements of these applications for cost-efficient and heterogeneity-aware resource allocation, (2) Inferline \u0026mdash; a soft real-time system for achieving these requirements under unpredictable bursty workloads when multiple ML models are composed for inference; (3) Ray --- an active open source project that brings some of these ideas together and serves as the unifying framework for distributed ML, addressing the challenge of scheduling policy heterogeneity.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nAlexey Tumanov is a postdoctoral researcher at the University of California, Berkeley, working with Ion Stoica and collaborating closely with Joseph Gonzalez in RISELab, department of computer science. He completed his Ph.D. at Carnegie Mellon University, advised by Gregory Ganger. At Carnegie Mellon, Tumanov was awarded the prestigious Canadian government fellowship NSERC Alexander Graham Bell Canada Graduate Scholarship (NSERC CGS-D3) and was a member of the Intel Science and Technology Center for Cloud Computing and the Parallel Data Lab. Tumanov\u0026rsquo;s Systems research spanned the entire stack, starting with agile stateful VM replication with para-virtualization at the University of Toronto (working with Eyal de Lara) and most recently involving resource management for emerging AI applications. He is the recipient of the best student paper award for his thesis work on TetriSched at the EuroSys 2016 and is a Ray project committer.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Resource Management and Scheduling for Emerging AI Applications"}],"uid":"34541","created_gmt":"2019-03-22 16:23:17","changed_gmt":"2019-03-22 16:24:01","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-04-02T12:00:00-04:00","event_time_end":"2019-04-02T13:00:00-04:00","event_time_end_last":"2019-04-02T13:00:00-04:00","gmt_time_start":"2019-04-02 16:00:00","gmt_time_end":"2019-04-02 17:00:00","gmt_time_end_last":"2019-04-02 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"619515":{"id":"619515","type":"image","title":"Alexey Tumanov","body":null,"created":"1553271819","gmt_created":"2019-03-22 16:23:39","changed":"1553271819","gmt_changed":"2019-03-22 16:23:39","alt":"Alexey Tumanov","file":{"fid":"235859","name":"Tumanov-RISERetreat2017-1.jpg","image_path":"\/sites\/default\/files\/images\/Tumanov-RISERetreat2017-1.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Tumanov-RISERetreat2017-1.jpg","mime":"image\/jpeg","size":20493,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Tumanov-RISERetreat2017-1.jpg?itok=64l4fTEn"}}},"media_ids":["619515"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"619481":{"#nid":"619481","#data":{"type":"event","title":"First Annual GA Tech Data Science for Social Good Workshop","body":[{"value":"\u003Ch1\u003EHome\u003C\/h1\u003E\r\n\r\n\u003Cp\u003EThe Data Science for Social Good Workshop will focus on the application of data science techniques to problems of significant societal impact, such as healthcare, data privacy, renewable energy, and transportation. Bringing together disciplines in Computer Science, Industrial and Systems Engineering and Public Policy, it will include research domains such as algorithmic fairness, mechanism design, artificial intelligence, simulation, machine learning, and optimization. The schedule is designed for attendees to form meaningful connections, including 2-minute lightning talks as an icebreaker, and breakout sessions separated by academic stage (for mentoring) and research area (for technical discussions).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis workshop is organized by ML@GT faculty including Omar Isaac Asensio, Rachel Cummings, and Jamie Morgenstern.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPlease note that workshop attendance is by application only. Applications are now closed.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor more information, please visit the workshop\u0026#39;s \u003Ca href=\u0022https:\/\/ds4sg.gatech.edu\/\u0022\u003Ewebsite.\u003C\/a\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The Data Science for Social Good Workshop will focus on the application of data science techniques to problems of significant societal impact, such as healthcare, data privacy, renewable energy, and transportation."}],"uid":"34773","created_gmt":"2019-03-21 17:58:49","changed_gmt":"2019-03-21 17:58:49","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-04-01T10:00:00-04:00","event_time_end":"2019-04-02T16:15:00-04:00","event_time_end_last":"2019-04-02T16:15:00-04:00","gmt_time_start":"2019-04-01 14:00:00","gmt_time_end":"2019-04-02 20:15:00","gmt_time_end_last":"2019-04-02 20:15:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576481","name":"ML@GT"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"26411","name":"Training\/Workshop"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"619479":{"#nid":"619479","#data":{"type":"event","title":"SCS Recruiting Seminar: Anand Iyer","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EScalable Systems for Large-Scale Dynamic Connected Data Processing\u003C\/em\u003E\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EASBTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs the proliferation of sensors rapidly make the Internet-of-Things (IoT) a reality, the devices and sensors in this ecosystem \u0026mdash;such as smartphones, video cameras, home automation systems, and autonomous vehicles \u0026mdash; constantly map out the real-world producing unprecedented amounts of connected data that captures complex and diverse relations. Unfortunately, existing big data processing and machine learning frameworks are ill-suited for analyzing such dynamic connected data and face several challenges when employed for this purpose.\u003Cbr \/\u003E\r\n\u0026nbsp;\u003Cbr \/\u003E\r\nIn this talk, I will present my research that focuses on building scalable systems for dynamic connected data processing. I will discuss simple abstractions that make it easy to operate on such data, efficient data structures for state management, and computation models that reduce redundant work. I will also describe how bridging theory and practice with algorithms and techniques that leverage approximation and streaming theory can significantly speed up computations. The systems I have built achieve more than an order of magnitude improvement over the state-of-the-art and are currently under evaluation in the industry for real-world deployments. I will end the talk with my vision for building the next generation data intensive systems that incorporates both the cloud and the edge.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAnand Iyer is a Ph.D. candidate at the University of California, Berkeley advised by Professor Ion Stoica. His research interests are in cloud computing, systems for big data analytics, and mobile systems with a current focus on enabling efficient analysis and machine learning on large-scale dynamic, connected data. He is a recipient of the best paper award at SIGMOD GRADES-NDA 2018 for his work on approximate graph analytics. Before coming to Berkeley, he was a member of the mobility, networking, and systems group at Microsoft Research India. He completed his M.S at the University of Texas at Austin. \u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Scalable Systems for Large-Scale Dynamic Connected Data Processing  "}],"uid":"34541","created_gmt":"2019-03-21 17:29:04","changed_gmt":"2019-03-21 17:30:48","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-04-04T12:00:00-04:00","event_time_end":"2019-04-04T13:00:00-04:00","event_time_end_last":"2019-04-04T13:00:00-04:00","gmt_time_start":"2019-04-04 16:00:00","gmt_time_end":"2019-04-04 17:00:00","gmt_time_end_last":"2019-04-04 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"619480":{"id":"619480","type":"image","title":"Anand Iyer","body":null,"created":"1553189367","gmt_created":"2019-03-21 17:29:27","changed":"1553189367","gmt_changed":"2019-03-21 17:29:27","alt":"Anand Iyer","file":{"fid":"235849","name":"Anand_Headshot2.jpg","image_path":"\/sites\/default\/files\/images\/Anand_Headshot2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Anand_Headshot2.jpg","mime":"image\/jpeg","size":2039268,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Anand_Headshot2.jpg?itok=z2X58as5"}}},"media_ids":["619480"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"619385":{"#nid":"619385","#data":{"type":"event","title":"SCS Recruiting Seminar: Ashutosh Dhekne","body":[{"value":"\u003Cp\u003ETITLE:\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EPutting Wireless Sensing to the Litmus Test\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETWireless radios have been conventionally used as a communication platform for many years. However, communication is not the only utility of wireless signals. As signals traverse our environment, they \u0026ldquo;pick-up\u0026rdquo; information about the environment; this enables wireless sensing. If we observe the mutations the signals undergo, we can start to decode this additional information and learn more about our environment.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this talk, I will discuss in detail how wireless sensing can enable liquid identification \u0026mdash; a literal litmus test. Fine grained analysis of the signal helps us differentiate between a wide variety of liquids including, Pepsi and Coke, or distilled water and tap water. This has applications in airport security, detecting water adulteration in developing countries, quality assurance in the food industry, etc. Our liquid identification techniques are not an outcome of data based training or feature engineering. Instead, we measure two fundamental properties of the liquid that lead to its identification. I will also talk about my wireless motion tracking research, where I look at localization of people and objects in indoor spaces, on sports arenas, or in a battlefield.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003Cbr \/\u003E\r\nAshutosh Dhekne is a Ph.D. candidate at the University of Illinois at Urbana-Champaign. His research interests are in the areas of wireless networking and mobile computing with applications to RF sensing, 5G cellular networks, and cyber physical systems. He is a winner of the Richard T. Cheng Endowed Fellowship (2014-15).\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Putting Wireless Sensing to the Litmus Test  "}],"uid":"34541","created_gmt":"2019-03-18 19:54:20","changed_gmt":"2019-03-18 19:55:07","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-04-09T12:00:00-04:00","event_time_end":"2019-04-09T13:00:00-04:00","event_time_end_last":"2019-04-09T13:00:00-04:00","gmt_time_start":"2019-04-09 16:00:00","gmt_time_end":"2019-04-09 17:00:00","gmt_time_end_last":"2019-04-09 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"619386":{"id":"619386","type":"image","title":"Ashutosh Dhekne","body":null,"created":"1552938890","gmt_created":"2019-03-18 19:54:50","changed":"1552938890","gmt_changed":"2019-03-18 19:54:50","alt":"Ashutosh Dhekne","file":{"fid":"235801","name":"AshutoshDheknePhoto.jpg","image_path":"\/sites\/default\/files\/images\/AshutoshDheknePhoto.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/AshutoshDheknePhoto.jpg","mime":"image\/jpeg","size":443560,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/AshutoshDheknePhoto.jpg?itok=2oKrrMTT"}}},"media_ids":["619386"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"619218":{"#nid":"619218","#data":{"type":"event","title":"SCS Recruiting Seminar: Saba Alimadadi","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EUnderstanding Motifs of Behavior and Sources of Errors in Programs\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Software is eating the world.\u0026rdquo; Today\u0026rsquo;s complex and large programs are not easy to comprehend and are thus not immune to bugs. Program comprehension is crucial in software engineering, a necessary step for performing many tasks. However, the implicit and intricate relations between program entities hinder comprehension of program behavior and can easily lead to bugs, which can have severe consequences. It is particularly challenging to understand and debug modern programming languages, such as JavaScript, due to their dynamic, asynchronous, and event-driven nature.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe goal of my research is to improve performance of developers during program comprehension and debugging. Using semi-automated static and dynamic techniques, I create behavioral models of program execution and visualize them for developers in order to facilitate the process of program comprehension and debugging. The outcome of my work is a set of open-source tools, which I evaluate through controlled experiments in realistic settings. The results show that my methods significantly improve developers\u0026rsquo; performance in their everyday tasks.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESaba Alimadadi is a postdoctoral researcher at Northeastern University, where she also holds an NSERC Postdoctoral Fellowship. She received her Ph.D. from the University of British Columbia (UBC) in 2017. Saba\u0026rsquo;s research is in the area of software engineering, with a focus on program analysis, comprehension, and debugging. At the conjunction of software engineering, programming languages, and human-computer interaction, her techniques aim at improving performance of developers.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Understanding Motifs of Behavior and Sources of Errors in Programs"}],"uid":"34541","created_gmt":"2019-03-13 18:32:50","changed_gmt":"2019-03-13 21:09:14","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-03-26T12:00:00-04:00","event_time_end":"2019-03-26T13:00:00-04:00","event_time_end_last":"2019-03-26T13:00:00-04:00","gmt_time_start":"2019-03-26 16:00:00","gmt_time_end":"2019-03-26 17:00:00","gmt_time_end_last":"2019-03-26 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"619219":{"id":"619219","type":"image","title":"Saba Alimadadi","body":null,"created":"1552502015","gmt_created":"2019-03-13 18:33:35","changed":"1552502015","gmt_changed":"2019-03-13 18:33:35","alt":"Saba","file":{"fid":"235720","name":"SABA2.jpg","image_path":"\/sites\/default\/files\/images\/SABA2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/SABA2.jpg","mime":"image\/jpeg","size":132997,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/SABA2.jpg?itok=duBrf0rc"}}},"media_ids":["619219"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"618322":{"#nid":"618322","#data":{"type":"event","title":"Spring 2019 Dean\u0027s New Graduate Alumni Celebration","body":[{"value":"\u003Cp\u003ECongratulations! You are about to earn your graduate degree from Georgia Tech, and we want to honor your achievement and help you celebrate!\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPlease join us for the Dean\u0026#39;s New Graduate Alumni Celebration, to\u0026nbsp;be held Thursday, May 2,\u0026nbsp;5 p.m. - 8:30\u0026nbsp;p.m. at\u0026nbsp;Biltmore\u0026#39;s Georgian Ballroom. Families and graduates will have the opportunity to mingle with\u0026nbsp;Dean Zvi Galil,\u0026nbsp;College of Computing professors, staff and\u0026nbsp;fellow students!\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E5 p.m. -\u0026nbsp;6:30 p.m. - Hors d\u0026#39;oeuvres, cocktails and registration\u003C\/li\u003E\r\n\t\u003Cli\u003E6:30 p.m. - 7:30\u0026nbsp;p.m. - Program\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E7:30 p.m. - 8:30\u0026nbsp;p.m. - Dessert and coffee\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EPay for Biltmore Parking Lot* or GT Trolley access (get off at the College of Business)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003E*Biltmore garage @ $10 per car. Overflow self-parking is in the AT\u0026amp;T garage @ $20 per car\u003C\/em\u003E\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nPlease \u003Ca href=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_6EhwfGYSh1H5Q1f\u0022\u003ERSVP\u003C\/a\u003E no later than Monday, April 22\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMake a weekend out of your graduation celebration!\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EOMSCS 5 Year Anniversary Luncheon in Celebration of Zvi Galil\u003C\/strong\u003E\r\n\r\n\t\u003Cul\u003E\r\n\t\t\u003Cli\u003EThursday, May 2, 11:30 a.m. - 1 p.m. \u003Ca href=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_7PAtzQujxqaNhAN\u0022\u003ERSVP\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003C\/ul\u003E\r\n\t\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EOMSCS New Graduate Campus Tour\u003C\/strong\u003E: Thursday, May 2, 3 p.m. Family and graduation guests welcome. Please RSVP via email to \u003Ca href=\u0022mailto:baiello@cc.gatech.edu?subject=OMSCS%20New%20Graduate%20Campus%20Tour\u0022 target=\u0022_blank\u0022\u003Eb\u003C\/a\u003E\u003Ca href=\u0022http:\/\/brobert@cc.gatech.edu\u0022 target=\u0022_blank\u0022\u003Erobert@cc.gatech.edu\u003C\/a\u003E with your expected number of participants.\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/www.commencement.gatech.edu\/schedule\u0022 target=\u0022_blank\u0022\u003EPh.D. Commencement:\u003C\/a\u003E\u0026nbsp;Friday, May 3, 9 a.m. -11 a.m. at\u0026nbsp;\u003Ca href=\u0022http:\/\/www.commencement.gatech.edu\/venue-information\u0022 target=\u0022_blank\u0022\u003EMcCamish Pavilion\u003C\/a\u003E. Students need to report for line-up at 8:15 a.m.\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/www.commencement.gatech.edu\/presidents-graduation-celebration\u0022 target=\u0022_blank\u0022\u003EPresident\u0026#39;s Graduation Celebration\u003C\/a\u003E: Friday, May 3, 11\u0026nbsp;a.m. -\u0026nbsp;1\u0026nbsp;p.m., Student Center. No RSVP required.\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/www.commencement.gatech.edu\/schedule\u0022 target=\u0022_blank\u0022\u003EMaster\u0026#39;s Commencement\u003C\/a\u003E: Friday, May 3, 3 p.m. - 5:30 p.m. at \u003Ca href=\u0022http:\/\/www.commencement.gatech.edu\/venue-information\u0022 target=\u0022_blank\u0022\u003EMcCamish Pavilion\u003C\/a\u003E. Students need to report for line-up at 2 p.m.\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Spring 2019 Dean\u0027s New Graduate Alumni Celebration"}],"uid":"28150","created_gmt":"2019-02-22 19:59:03","changed_gmt":"2019-03-12 18:11:35","author":"Birney Robert","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-05-02T18:00:00-04:00","event_time_end":"2019-05-02T21:30:00-04:00","event_time_end_last":"2019-05-02T21:30:00-04:00","gmt_time_start":"2019-05-02 22:00:00","gmt_time_end":"2019-05-03 01:30:00","gmt_time_end_last":"2019-05-03 01:30:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food","freebies"],"hg_media":{"522561":{"id":"522561","type":"image","title":"Dean\u0027s New Alumni Celebration Graphic","body":null,"created":"1460134800","gmt_created":"2016-04-08 17:00:00","changed":"1475895291","gmt_changed":"2016-10-08 02:54:51","alt":"Dean\u0027s New Alumni Celebration Graphic","file":{"fid":"205374","name":"gtcomputinggraphic.jpg","image_path":"\/sites\/default\/files\/images\/gtcomputinggraphic_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/gtcomputinggraphic_0.jpg","mime":"image\/jpeg","size":176671,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/gtcomputinggraphic_0.jpg?itok=xEL5GxwM"}}},"media_ids":["522561"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"168539","name":"Dean\u0027s New Alumni Celebration"},{"id":"109","name":"Georgia Tech"},{"id":"654","name":"College of Computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBirney Robert\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ebrobert@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"618651":{"#nid":"618651","#data":{"type":"event","title":"OMSCS Five-Year Anniversary Luncheon and Celebration of Dean Zvi Galil","body":[{"value":"\u003Cp\u003EAs the OMSCS program celebrates its fifth anniversary, we will also celebrate Dean Zvi Galil for his key role in creating the program. Georgia Tech\u0026#39;s College of Computing and Udacity partnered in 2014 to launch this affordable and competitive online degree, which has been revolutionary in the field of computer science education. This is Dr. Galil\u0026rsquo;s last year as dean \u0026ndash; he will return to faculty next year. Please help us honor his accomplishments and thank him for his service to the College of Computing, to its students, and to the field as a whole.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E*Please\u003Ca href=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_7PAtzQujxqaNhAN\u0022\u003E RSVP\u003C\/a\u003E for this luncheon*\u003C\/strong\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"OMSCS Five-Year Anniversary Luncheon and Celebration of Dean Zvi Galil"}],"uid":"28150","created_gmt":"2019-03-01 16:52:31","changed_gmt":"2019-03-11 17:38:40","author":"Birney Robert","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-05-02T12:30:00-04:00","event_time_end":"2019-05-02T14:00:00-04:00","event_time_end_last":"2019-05-02T14:00:00-04:00","gmt_time_start":"2019-05-02 16:30:00","gmt_time_end":"2019-05-02 18:00:00","gmt_time_end_last":"2019-05-02 18:00:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food"],"hg_media":{"618660":{"id":"618660","type":"image","title":"OMSCS 5 Year Anniversary Luncheon in Celebration of Dean Zvi Galil","body":null,"created":"1551464829","gmt_created":"2019-03-01 18:27:09","changed":"1551464829","gmt_changed":"2019-03-01 18:27:09","alt":"","file":{"fid":"235493","name":"OMSCS 5yr Anniv. mailchimp hero.jpg","image_path":"\/sites\/default\/files\/images\/OMSCS%205yr%20Anniv.%20mailchimp%20hero.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/OMSCS%205yr%20Anniv.%20mailchimp%20hero.jpg","mime":"image\/jpeg","size":1479298,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/OMSCS%205yr%20Anniv.%20mailchimp%20hero.jpg?itok=2IJ-hf_r"}}},"media_ids":["618660"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBirney Robert\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ebrobert@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"617872":{"#nid":"617872","#data":{"type":"event","title":"SCS Recruiting Seminar: Behnaz Arzani","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003ETowards Networks that Manage Themselves\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe goal of data center operators is to provide high availability to their customers. Data center networks operate at massive scales. Failures in these networks are unavoidable, and when they occur, they can have a detrimental effect on availability. Finding the cause of problems in data center networks is akin to finding the proverbial needle in a haystack. In addition, diagnosing failures has to go beyond finding the devices that have failed. In practice operators also need to know which applications are impacted by the failure, and by how much. In this talk, I will show how we achieved holistic, practical, and deployable diagnosis systems for data center networks. I take a two-step approach to diagnose specific applications and quantifying the impact of individual failures. First, I build a system NetPoirot (SIGCOMM 2016) that identifies the entity responsible for the failure. Second, using 007 (NSDI 2018) I identify the link responsible for the problem while quantifying its impact to individual applications. NetPoirot allows operators to identify whether the client, network, or the server is responsible for a problem without any network\/server infrastructure changes. In designing NetPoirot we showed, for the first time, that we can identify whether the network, client, or server was responsible for failures through monitoring coarse-grained TCP statistics. If NetPoirot blames the network as the culprit, 007 can be used to pinpoint the device that caused the problem. 007 can also be used to attribute failures to applications they impact.\u0026nbsp; In this talk, I will describe both NetPoirot and 007 and their impact on how operators approach diagnosis in Microsoft\u0026rsquo;s networks.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBehnaz Arzani is a postdoctoral researcher at Microsoft Research in the mobility and networking group. She received her Ph.D. in computer science from the University of Pennsylvania in 2017 working with Professors Boon Thau Loo and Roch Guerin. She also completed her dual master\u0026rsquo;s degree in computer science and electrical engineering at the University of Pennsylvania in the same year. Her B.Sc. degree is from the electrical engineering department at Sharif University of Technology in 2010, where she worked with Professor Javad Salehi. Behnaz is the recipient of the University of Pennsylvania Rubinoff dissertation award. Behnaz\u0026rsquo;s research interests lie primarily in the areas of networking and distributed systems. Her work lies in at the boundaries of theory and practice, and is published in some of the top conferences in the field including SIGCOMM and NSDI. Behnaz was selected as one of the 10 N2Women rising stars in networking and communications (formerly known as \u0026ldquo;10 Women in Networking\/Communications That You Should Watch\u0026rdquo;). She was also selected to participate in the rising stars in EECS workshop that was held at MIT this year.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Towards Networks that Manage Themselves"}],"uid":"34541","created_gmt":"2019-02-14 20:52:13","changed_gmt":"2019-03-06 17:06:54","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-03-07T11:00:00-05:00","event_time_end":"2019-03-07T12:00:00-05:00","event_time_end_last":"2019-03-07T12:00:00-05:00","gmt_time_start":"2019-03-07 16:00:00","gmt_time_end":"2019-03-07 17:00:00","gmt_time_end_last":"2019-03-07 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"617873":{"id":"617873","type":"image","title":"Behnaz Arzani","body":null,"created":"1550177968","gmt_created":"2019-02-14 20:59:28","changed":"1550177968","gmt_changed":"2019-02-14 20:59:28","alt":"Behnaz Arzani","file":{"fid":"235197","name":"Photo.jpg","image_path":"\/sites\/default\/files\/images\/Photo_1.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Photo_1.jpg","mime":"image\/jpeg","size":27202,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Photo_1.jpg?itok=bOKaUJbl"}}},"media_ids":["617873"],"groups":[{"id":"50875","name":"School of Computer Science"},{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"618012":{"#nid":"618012","#data":{"type":"event","title":"SCS \u0026 ECE Recruiting Seminar: Elissa Redmiles","body":[{"value":"\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETITLE: \u003Cem\u003ESecurity for All: Modeling Structural Inequities to Design More Secure Systems\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EUsers often fall for phishing emails, reuse simple passwords, and fail to effectively utilize \u0026ldquo;provably\u0026rdquo; secure systems. These behaviors expose users to significant harm and frustrate industry practitioners and security researchers alike. As consequences of security breaches become ever more grave, it is important to study why humans behave seemingly irrationally. In this talk, I will illustrate how modeling the effects of structural inequities \u0026mdash; variance in skill, socioeconomic status, as well as culture and gender identity \u0026mdash; can both explain apparent irrationality in users\u0026rsquo; security behavior and offer tangible improvements in industry systems. Modeling and mitigating security inequities requires a combination of techniques from economic, data scientific, and social science methodologies to develop new tools for systematically understanding and mitigating insecure behavior.\u003Cbr \/\u003E\r\n\u0026nbsp;\u003Cbr \/\u003E\r\nThrough novel experimental methodology, I empirically show strong evidence of bounded rationality in security behavior: Users make mathematically modelable trade-offs between the protection offered by security behaviors and the costs of practicing those behaviors, which even in a highly usable system may outweigh the benefits, especially for less resourced users. These findings emphasize the need for industry systems that balance structural inequities and accommodate behavioral variance between users rather than one-size-fits-all security solutions. More broadly, my techniques for modeling and accounting for inequities have offered key insights in growing technical areas beyond security, including algorithmic fairness.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;Elissa Redmiles is a Ph.D. candidate in computer science at the University of Maryland and has been a visiting researcher with the Max Planck Institute for Software Systems and the University of Zurich. Redmiles\u0026rsquo; research interests are broadly in the areas of security and privacy. She uses computational, economic, and social science methods to conduct research on behavioral security. Redmiles seeks to understand users\u0026rsquo; security and privacy decision-making processes and specifically investigate inequalities that arise in these processes and to mitigate those inequalities through the design of systems that facilitate safety equitably across users. Redmiles is the recipient of a NSF Graduate Research Fellowship, a National Science Defense and Engineering Graduate Fellowship, and a Facebook Fellowship. Her work has appeared in popular press publications such as \u003Cem\u003EScientific American\u003C\/em\u003E, \u003Cem\u003EBusiness Insider\u003C\/em\u003E, \u003Cem\u003ENewsweek\u003C\/em\u003E, and \u003Cem\u003ECNET\u003C\/em\u003E and has been recognized with the John Karat Usable Privacy and Security Student Research Award, a Distinguished Paper Award at USENIX Security 2018, and a University of Maryland Outstanding Graduate Student Award.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Security for All: Modeling Structural Inequities to Design More Secure Systems"}],"uid":"34541","created_gmt":"2019-02-18 20:10:27","changed_gmt":"2019-03-06 17:04:18","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-03-12T12:00:00-04:00","event_time_end":"2019-03-12T13:00:00-04:00","event_time_end_last":"2019-03-12T13:00:00-04:00","gmt_time_start":"2019-03-12 16:00:00","gmt_time_end":"2019-03-12 17:00:00","gmt_time_end_last":"2019-03-12 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"618013":{"id":"618013","type":"image","title":"Elissa Redmiles","body":null,"created":"1550520653","gmt_created":"2019-02-18 20:10:53","changed":"1550520653","gmt_changed":"2019-02-18 20:10:53","alt":"Elissa Redmiles","file":{"fid":"235249","name":"2017headshot (1).JPG","image_path":"\/sites\/default\/files\/images\/2017headshot%20%281%29.JPG","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/2017headshot%20%281%29.JPG","mime":"image\/jpeg","size":346457,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/2017headshot%20%281%29.JPG?itok=X5DDz1-W"}}},"media_ids":["618013"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"618024":{"#nid":"618024","#data":{"type":"event","title":"SCS Recruiting Seminar: Yongjoo Park","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EBringing Statistical Trade-offs to Data Systems\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDespite advances in computing power, the cost of large-scale analytics and machine learning remains daunting to small and large enterprises alike. This has created a pressing demand for reducing infrastructure costs and query latencies. To meet these goals, data analysts and applications are in many cases willing to tolerate a slight \u0026mdash; but controlled \u0026mdash; degradation of accuracy in exchange for substantial gains in cost and performance, which we refer to as statistical trade-offs. This is particularly true in the early stages of data exploration and is in stark contrast to traditional trade-offs where the infrastructure costs must increase for higher performance.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMy research builds large-scale data systems that can make these statistical trade-offs in a principled manner. In this talk, I will focus on two specific directions. First, I will present VerdictDB, a system that enables quality-guaranteed, statistical trade-offs without any changes to backend infrastructure; thus, it offers a universal solution for off-the-shelf query engines. Second, I will introduce Database Learning, a new query execution paradigm that allows existing query engines to constantly learn from their past executions and become \u0026ldquo;smarter\u0026rdquo; over time without any user intervention. I will conclude by briefly discussing other promising directions with emerging workloads beyond SQL, including visualization and machine learning.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;Yongjoo Park is a research fellow in computer science and engineering at the University of Michigan, Ann Arbor. His research interest is software systems for fast data analytics and machine learning. He received a Ph.D. from the University of Michigan, advised by Michael Cafarella and Barzan Mozafari. He is a recipient of 2018 ACM SIGMOD Jim Gray Dissertation Award Runner-up, Kwanjeong Ph.D. Fellowship, and Jeongsong Graduate Study Fellowship.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Bringing Statistical Trade-offs to Data Systems"}],"uid":"34541","created_gmt":"2019-02-18 20:58:15","changed_gmt":"2019-03-06 17:03:56","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-03-14T12:00:00-04:00","event_time_end":"2019-03-14T13:00:00-04:00","event_time_end_last":"2019-03-14T13:00:00-04:00","gmt_time_start":"2019-03-14 16:00:00","gmt_time_end":"2019-03-14 17:00:00","gmt_time_end_last":"2019-03-14 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"618025":{"id":"618025","type":"image","title":"Yongjoo Park","body":null,"created":"1550523521","gmt_created":"2019-02-18 20:58:41","changed":"1550523521","gmt_changed":"2019-02-18 20:58:41","alt":"Yongjoo Park","file":{"fid":"235255","name":"yongjoo 2018 square.jpg","image_path":"\/sites\/default\/files\/images\/yongjoo%202018%20square.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/yongjoo%202018%20square.jpg","mime":"image\/jpeg","size":905958,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/yongjoo%202018%20square.jpg?itok=HbFTSG5_"}}},"media_ids":["618025"],"groups":[{"id":"50875","name":"School of Computer Science"},{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"618225":{"#nid":"618225","#data":{"type":"event","title":"CRNCH\/CSE Quantum Distinguished Lecture Series:  Doug Carmean","body":[{"value":"Title: Not Another Quantum Talk! The Ebullient Future of Computer Architecture\r\n\r\nAbstract:\r\nThe rate of people predicting the end of Moore\u2019s Law is\r\ndoubling every year, with alarmists predicting a cataclysmic\r\nend to computer systems as we know them. In this\r\ndark age of technology ambiguity, the world of computer\r\narchitecture has never been brighter. This talk will explore\r\nthe possibilities of computing systems that may incorporate\r\nquantum, cryogenic and DNA components.\r\n\r\nBio:\r\nDoug is currently the Lead Architect of the Microsoft\r\nQuantum Project where he is working to define the future\r\nof computing and storage. His group is utilizing the fundamental\r\nbuilding blocks of nature to build quantum computers\r\nand DNA based information storage that will revolutionize\r\ncomputing. In a previous life, Doug was an Intel\r\nFellow and Director of the Efficient Computing Lab at Intel.\r\nHe is responsible for creating the vision and concept for\r\nthe Xeon Phi family products, an architecture for highly\r\nparallel workloads including a high-performance scientific\r\napplication based on Intel Architecture processors.\r\nCarmean led the team that founded a new group at Intel\r\nto define, build and productize the Xeon Phi family.\r\nDoug joined Intel in 1989, he has held several key roles\r\nand provided leadership in Intel\u2019s microprocessor architecture\r\ndevelopment and product roadmap. As Nehalem\u2019s\r\nfirst chief architect, a next-generation x86 flagship processor,\r\nhe led the team during the early phases of architecture\r\ndefinition. Prior to this position, he was a principal\r\narchitect for the Pentium 4 processor where he completed\r\nthe memory cluster and power architecture definition including\r\nalgorithms, structures and overall functionality.\r\nCarmean holds more than 25 patents and many\r\npending in processor architecture and implementation,\r\nmemory subsystems and low power design. He\r\nhas published more than a dozen technical papers.","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Not Another Quantum Talk! The Ebullient Future of Computer Architecture"}],"uid":"27362","created_gmt":"2019-02-21 14:56:17","changed_gmt":"2019-03-04 20:16:23","author":"Wanda Purinton","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-03-11T12:00:00-04:00","event_time_end":"2019-03-11T13:00:00-04:00","event_time_end_last":"2019-03-11T13:00:00-04:00","gmt_time_start":"2019-03-11 16:00:00","gmt_time_end":"2019-03-11 17:00:00","gmt_time_end_last":"2019-03-11 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576491","name":"CRNCH"},{"id":"592465","name":"CRNCH Center"},{"id":"1304","name":"High Performance Computing (HPC)"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"618325":{"#nid":"618325","#data":{"type":"event","title":"28th Annual College of Computing Awards Celebration","body":[{"value":"\u003Cp\u003EPlease join us for the 28th annual college of computing awards celebration on Thursday, April 18, 2019\u0026nbsp;at 11:30 a.m. This event will be a buffet lunch in the Klaus Atrium\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPlease \u003Ca href=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_8bJJZlpfvpWX2EB\u0022\u003ERSVP\u003C\/a\u003E by April 8!\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EPlease join us for the 28th annual college of computing awards celebration on Thursday, April 18, 2019\u0026nbsp;at 11:30 a.m. This event will be a buffet lunch in the Klaus Atrium\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPlease \u003Ca href=\u0022https:\/\/www.surveymonkey.com\/r\/2018CoCAwards\u0022\u003ERSVP\u003C\/a\u003E\u003Ca href=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_8bJJZlpfvpWX2EB\u0022\u003E \u003C\/a\u003Eby April 8!\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"28th Annual College of Computing Awards Celebration"}],"uid":"28150","created_gmt":"2019-02-22 20:34:31","changed_gmt":"2019-02-23 05:31:49","author":"Birney Robert","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-04-18T12:30:00-04:00","event_time_end":"2019-04-18T14:30:00-04:00","event_time_end_last":"2019-04-18T14:30:00-04:00","gmt_time_start":"2019-04-18 16:30:00","gmt_time_end":"2019-04-18 18:30:00","gmt_time_end_last":"2019-04-18 18:30:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food"],"hg_media":{"618324":{"id":"618324","type":"image","title":"28th Annual CoC Awards Celebration","body":null,"created":"1550866739","gmt_created":"2019-02-22 20:18:59","changed":"1550866739","gmt_changed":"2019-02-22 20:18:59","alt":"","file":{"fid":"235349","name":"2019 CoC Awards mailchimp hero.jpg","image_path":"\/sites\/default\/files\/images\/2019%20CoC%20Awards%20mailchimp%20hero.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/2019%20CoC%20Awards%20mailchimp%20hero.jpg","mime":"image\/jpeg","size":1763548,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/2019%20CoC%20Awards%20mailchimp%20hero.jpg?itok=kHvMPgnI"}}},"media_ids":["618324"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"654","name":"College of Computing"},{"id":"109","name":"Georgia Tech"},{"id":"177186","name":"27th Annual College of Computing Awards Celebration"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBirney Robert\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ebrobert@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"618339":{"#nid":"618339","#data":{"type":"event","title":"SCS Recruiting Seminar: Abolfazl Asudeh","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003ETowards More Responsible Data-driven Decisions\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHuman decision makers often receive assistance from data-driven algorithmic systems for evaluating objects, including individuals. When there are multiple criteria to be considered, two common ways of supporting the decision making are (i) to assign a score to each object and rank them accordingly, or (ii) to offer a small set of maxima representatives that include the \u0026ldquo;best\u0026rdquo; for different users.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe evaluations and decisions made based on data can have significant consequences for the individuals evaluated, as well as society. For example, a company may promote high-ranked employees and fire low-ranked ones. University rankings is an example of social impact where it is well-documented that the ranking formula has a significant effect on policies adopted by universities. Another important example is highlighted by ProPublica: judges in the US consider the scores assigned to the individuals based on their criminal record and their background as guidance when sentencing criminals.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMy research\u0026rsquo;s goal is to ensure that decisions based on data are made responsibly, that is, properties such as fairness, stability, diversity, and transparency are satisfied.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAbolfazl (Abol) Asudeh is a research fellow at the computer science and engineering department of the University of Michigan, Ann Arbor, working with Professor H. V. Jagadish. At Michigan, Asudeh leads Mithra, a project on responsible data management and data ethics. Asudeh completed his Ph.D. in computer science at the University of Texas at Arlington in 2017, where he worked in DBXLAB with Professor Gautam Das. He finished his academic education with the Outstanding Ph.D. Student Award. Asudeh has also done two internships with Microsoft and Microsoft Research in 2014 and 2016. His research interests include responsible data science and data ethics, big data management and analysis, ranking and top-k query processing, compact maxima representatives, data mining, machine learning, algorithm design, computational geometry, and web data retrieval. Asudeh has a strong publication record in SIGMOD and VLDB in the past few years, including recognitions such as an invitation to the \u0026ldquo;Best of VLDB.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Towards More Responsible Data-driven Decisions"}],"uid":"34541","created_gmt":"2019-02-22 23:44:13","changed_gmt":"2019-02-22 23:45:38","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-03-28T12:00:00-04:00","event_time_end":"2019-03-28T13:00:00-04:00","event_time_end_last":"2019-03-28T13:00:00-04:00","gmt_time_start":"2019-03-28 16:00:00","gmt_time_end":"2019-03-28 17:00:00","gmt_time_end_last":"2019-03-28 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"618340":{"id":"618340","type":"image","title":"Abolfazl Asudeh","body":null,"created":"1550879113","gmt_created":"2019-02-22 23:45:13","changed":"1550879113","gmt_changed":"2019-02-22 23:45:13","alt":"Abolfazl Asudeh","file":{"fid":"235355","name":"2.JPG","image_path":"\/sites\/default\/files\/images\/2_0.JPG","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/2_0.JPG","mime":"image\/jpeg","size":220882,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/2_0.JPG?itok=ZpA_3mk6"}}},"media_ids":["618340"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"618328":{"#nid":"618328","#data":{"type":"event","title":"College of Computing Hall of Fame","body":[{"value":"\u003Cp\u003EPlease join us for the Annual Hall of Fame here at the College of Computing.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe \u003Cstrong\u003ECollege of Computing Hall of Fame\u0026nbsp;\u003C\/strong\u003Eseeks to recognize those alumni, faculty, and friends who have contributed significantly to our advancement and reputation through the years. We intend to recognize the impact of members of our community on the world of computing and computing education.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis event will take place Friday, April 26, 6 - 10 p.m. at Ventanas in downtown Atlanta - 275 Baker Street, Atlanta GA 30313.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECocktails and reception start on 15th floor. Dinner will follow on 14th floor.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_d1ovQvzH9RDAzMF\u0022\u003ERSVP\u003C\/a\u003E required for event.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"College of Computing Hall of Fame"}],"uid":"28150","created_gmt":"2019-02-22 20:44:34","changed_gmt":"2019-02-22 21:46:01","author":"Birney Robert","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-04-26T19:00:00-04:00","event_time_end":"2019-04-26T23:00:00-04:00","event_time_end_last":"2019-04-26T23:00:00-04:00","gmt_time_start":"2019-04-26 23:00:00","gmt_time_end":"2019-04-27 03:00:00","gmt_time_end_last":"2019-04-27 03:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBirney Robert\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ebrobert@cc.gatech.edu\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eor\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPatricia Allen\u003C\/p\u003E\r\n\r\n\u003Cp\u003Epatricia.allen@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"617540":{"#nid":"617540","#data":{"type":"event","title":"SCS \u0026 ECE Recruiting Seminar: Mengjia Yan","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003ESecure Computer Hardware in the Age of Pervasive Security Attacks\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;Recent attacks such as Spectre and Meltdown have shown how vulnerable modern computer hardware is. The root cause of the problem is that computer architects have traditionally focused on performance and energy efficiency. Security has never been a first-class requirement. Moving forward, however, this has to radically change: we need to rethink computer architecture from the ground-up for security.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nAs an example of this vision, in this talk, I will focus on speculative execution in out-of-order processors \u0026mdash; a core computer architecture technology that is the target of the recent attacks. I will describe InvisiSpec, the first robust hardware defense mechanism against speculative (a.k.a transient) execution attacks. The idea is to make loads invisible in the cache hierarchy and only reveal their presence at the point when they are safe. Once an instruction is deemed safe, our hardware is able to cheaply modify the cache coherence state in a consistent manner. Further, to reduce the cost of InvisiSpec and increase its protection coverage, I propose Speculative Taint Tracking (STT). This is a novel form of information flow tracking that is specifically designed for speculative execution. It reduces cost by allowing tainted instructions to become safe early, and by effectively leveraging the predictor hardware that is ubiquitous in modern processors. Further improvements of InvisiSpec-STT can be attained with new compiler techniques. Finally, I will conclude my talk by describing ongoing and future directions towards designing secure processors.\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMengjia Yan is a Ph.D. student at the University of Illinois at Urbana-Champaign (UIUC), working with Professor Josep Torrellas. Her research interest lies in the areas of computer architecture and hardware security, with a focus on defenses against transient execution attacks and cache-based side channel attacks. Her work has appeared in some of the top venues in computer architecture and security, and has sparked a large research collaboration initiative between UIUC and Intel. Mengjia received the UIUC College of Engineering Mavis Future Faculty Fellow, the Computer Science W.J. Poppelbaum Memorial Award, a MICRO TopPicks in Computer Architecture Honorable Mention, and was invited to participate in two Rising Stars workshops.\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Secure Computer Hardware in the Age of Pervasive Security Attacks"}],"uid":"34541","created_gmt":"2019-02-08 17:27:10","changed_gmt":"2019-02-21 21:28:02","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-02-26T10:00:00-05:00","event_time_end":"2019-02-26T11:00:00-05:00","event_time_end_last":"2019-02-26T11:00:00-05:00","gmt_time_start":"2019-02-26 15:00:00","gmt_time_end":"2019-02-26 16:00:00","gmt_time_end_last":"2019-02-26 16:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"617541":{"id":"617541","type":"image","title":"Mengjia Yan","body":null,"created":"1549646873","gmt_created":"2019-02-08 17:27:53","changed":"1549646873","gmt_changed":"2019-02-08 17:27:53","alt":"Mengjia Yan","file":{"fid":"235052","name":"Photo_Mengjia_Yan.jpg","image_path":"\/sites\/default\/files\/images\/Photo_Mengjia_Yan.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Photo_Mengjia_Yan.jpg","mime":"image\/jpeg","size":432632,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Photo_Mengjia_Yan.jpg?itok=BzFp_lbQ"}}},"media_ids":["617541"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"617989":{"#nid":"617989","#data":{"type":"event","title":"SCS Recruiting Seminar: Ian Miers","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003ECryptography in Context: Bitcoin, Breaches, and Security in the Real World\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis talk will cover the design, implementation, and deployment of novel cryptography to solve real world security issues. While advances in computer science have revolutionized many fields and play a daily role in our lives, the security of deployed systems has not kept pace. Addressing real world security issues requires a new approach to cryptography, one that looks at the context in which it will be used and reasons backwards. I will present examples of this approach in two contexts. First, I will take a detailed look at confidentiality for payments and the privacy failures of schemes such as Bitcoin. I will then detail the design, implementation, and commercial deployment of Zcash, the first system to solve these issues and offer confidentiality and public verifiability for cryptocurrencies. Second, I will explore cryptography in the context of security breaches and the reality that attackers will get into systems and access keys, rendering traditional cryptographic protections ineffective. This will focus on applications of puncturable encryption to messaging and device encryption.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIan Miers is a postdoctoral researcher at Cornell Tech working on computer security and applied cryptography. His research focuses on making systems secure by exploring cryptography in the context of real world problems. This includes Zerocoin and Zerocash, the first systems to provide strongly confidential payments on top of public blockchains, and work improving mobile messaging including attacks on iMessage and new techniques for puncturable forward secure encryption. His work has been featured in \u003Cem\u003EThe Washington Post\u003C\/em\u003E, \u003Cem\u003EThe New York Times\u003C\/em\u003E, \u003Cem\u003EThe Economist\u003C\/em\u003E, and denounced in at least two op-eds. He is one of the founders of Zcash, a privacy preserving cryptocurrency based on Zerocash.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Cryptography in Context: Bitcoin, Breaches, and Security in the Real World"}],"uid":"34541","created_gmt":"2019-02-18 18:04:31","changed_gmt":"2019-02-18 18:05:13","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-02-28T10:00:00-05:00","event_time_end":"2019-02-28T11:00:00-05:00","event_time_end_last":"2019-02-28T11:00:00-05:00","gmt_time_start":"2019-02-28 15:00:00","gmt_time_end":"2019-02-28 16:00:00","gmt_time_end_last":"2019-02-28 16:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"617990":{"id":"617990","type":"image","title":"Ian Miers","body":null,"created":"1550513097","gmt_created":"2019-02-18 18:04:57","changed":"1550513097","gmt_changed":"2019-02-18 18:04:57","alt":"Ian Miers","file":{"fid":"235241","name":"swiss.jpeg","image_path":"\/sites\/default\/files\/images\/swiss.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/swiss.jpeg","mime":"image\/jpeg","size":88021,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/swiss.jpeg?itok=IGFjGwLr"}}},"media_ids":["617990"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"615251":{"#nid":"615251","#data":{"type":"event","title":"ML@GT Spring Seminar: Robert Nowak","body":[{"value":"\u003Cp\u003EThe Machine Learning Center at Georgia Tech\u0026nbsp;presents a seminar by Robert Nowak, a professor at the University of Wisconsin-Madison, where his research focuses on signal processing, machine learning, optimization, and statistics. The event will be held in the GTMI Auditorium from 12:15-1:15 p.m. and is open to the public.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERSVP at\u0026nbsp;http:\/\/bit.ly\/2WVYf9I\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETITLE\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERanking from Ratings and Comparisons\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EABSTRACT\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERanking items based on ratings or pairwise comparisons is ubiquitous, with applications ranging from product recommendations to teaching evaluations. \u0026nbsp;This talk describes ongoing research in two directions. \u0026nbsp;First, I present a new approach to deriving confidence intervals \u0026nbsp;tailored to rating systems using techniques from information theory, including Sanov and Csiszar inequalities. \u0026nbsp;The new intervals are often considerably tighter than commonly used bounds such as Hoeffding and Bernstein inequalities. The utility of the new confidence intervals is illustrated with applications to recommender systems and multi-armed bandits. Second, I will discuss ranking algorithms based on adaptively collecting ratings or comparisons. \u0026nbsp;Consider an algorithm that can draw samples from K unknown distributions. The goal is to order the distributions according to their (unknown) means using a minimal number of samples. This model encompasses many problems including best-arms identification in multi-armed bandits, noisy sorting and ranking, and outlier detection. \u0026nbsp;Ranking urban scenes based on human-perceived safety motivates our work. \u0026nbsp; A challenge in such applications is that correctly ordering distributions with nearly equal means is an expensive task (in terms of number of required samples). Moreover, it is arguably unnecessary to resolve the order of very similar distributions. This observation motivates the recovery of a partial ordering into clusters of distributions with similar means (e.g., safety ratings). Clustering requires locating large \u0026ldquo;gaps\u0026rdquo; in the ordered sequence of means, and I will focus on the fundamental problem of quickly finding the largest gap.\u0026nbsp;\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003EBIO\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERobert Nowak received the B.S., M.S., and Ph.D. degrees in electrical engineering from the University of Wisconsin-Madison in 1990, 1992, and 1995, respectively.\u0026nbsp; He was a Postdoctoral Fellow at Rice University in 1995-1996, an Assistant Professor at Michigan State University from 1996-1999,\u0026nbsp; held Assistant and Associate Professor positions at Rice University from 1999-2003, and is now the McFarland-Bascom Professor of Engineering at the University of Wisconsin-Madison. Professor Nowak has held visiting positions at INRIA, Sophia-Antipolis (2001), and Trinity College, Cambridge (2010). He has served as an Associate Editor for the IEEE Transactions on Image Processing and the ACM Transactions on Sensor Networks, and as the Secretary of the SIAM Activity Group on Imaging Science. He was General Chair for the 2007 IEEE Statistical Signal Processing workshop and Technical Program Chair for the 2003 IEEE Statistical Signal Processing Workshop and the 2004 IEEE\/ACM International Symposium on Information Processing in Sensor Networks. Professor Nowak received the General Electric Genius of Invention Award (1993), the National Science Foundation CAREER Award (1997), the Army Research Office Young Investigator Program\u0026nbsp; Award (1999), the Office of Naval Research Young Investigator Program Award (2000), the IEEE Signal Processing Society Young Author Best Paper Award (2000), the IEEE Signal Processing Society Best Paper Award (2011), and the ASPRS Talbert Abrams Paper Award (2012). He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE). His research interests include signal processing, machine learning, imaging, and network science, and applications in communications, bioimaging, and systems biology.\u0026nbsp; His\u0026nbsp;\u003Ca href=\u0022http:\/\/scholar.google.com\/citations?user=fn13u8IAAAAJ\u0026amp;hl=en\u0022\u003EGoogle Scholar page\u003C\/a\u003E\u0026nbsp;contains further information about his research and publications.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor scheduling information please contact Yao Xie at\u0026nbsp;yao.xie@isye.gatech.edu\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Robert Nowak, a professor at the University of Wisconsin - Madison will be on campus for a ML@GT seminar."}],"uid":"34773","created_gmt":"2018-12-12 18:09:26","changed_gmt":"2019-02-14 18:37:20","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-02-27T12:15:00-05:00","event_time_end":"2019-02-27T13:15:00-05:00","event_time_end_last":"2019-02-27T13:15:00-05:00","gmt_time_start":"2019-02-27 17:15:00","gmt_time_end":"2019-02-27 18:15:00","gmt_time_end_last":"2019-02-27 18:15:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"609146":{"id":"609146","type":"image","title":"Robert Nowak","body":null,"created":"1533046741","gmt_created":"2018-07-31 14:19:01","changed":"1533046741","gmt_changed":"2018-07-31 14:19:01","alt":"","file":{"fid":"232001","name":"robsea.jpg","image_path":"\/sites\/default\/files\/images\/robsea.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/robsea.jpg","mime":"image\/jpeg","size":240554,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/robsea.jpg?itok=sPyaavLt"}}},"media_ids":["609146"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576481","name":"ML@GT"},{"id":"1299","name":"GVU Center"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"177339","name":"AI machine learning"},{"id":"1808","name":"graduate students"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"617700":{"#nid":"617700","#data":{"type":"event","title":"SCS Recruiting Seminar: James Bornholt","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EOptimizing the Automated Programming Stack\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe scale and pervasiveness of modern software poses a challenge for programmers: software reliability is more important than ever, but the complexity of computer systems continues to grow. Automated programming tools are powerful weapons for programmers to tackle this challenge: verifiers that check software correctness and synthesizers that generate new correct-by-construction programs. These tools are most effective when they apply domain-specific optimizations, but doing so today requires considerable formal methods expertise.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this talk, I present a new application-driven approach to optimizing the automated programming stack underpinning modern domain-specific tools. I will demonstrate the importance of programming tools in the context of memory consistency models, which define the behavior of multiprocessor CPUs and whose subtleties often elude even experts. Our new tool, MemSynth, automatically synthesizes formal descriptions of memory consistency models from examples of CPU behavior. We have used MemSynth to synthesize descriptions of the x86 and PowerPC memory models, each of which previously required person-years of effort to describe by hand, and found several ambiguities and underspecifications in both architectures. I will then present symbolic profiling, a new technique we designed and implemented to help people identify the scalability bottlenecks in automated programming tools. These tools use symbolic evaluation, which evaluates all paths through a program, and is an execution model that defies both human intuition and standard profiling techniques. Symbolic profiling diagnoses scalability bottlenecks using a novel performance model for symbolic evaluation that accounts for all-paths execution. We have used symbolic profiling to find and fix performance issues in 8 state-of-the-art automated tools, improving their scalability by orders of magnitude, and our techniques have been adopted in industry. Finally, I will give a sense of the importance of future application-driven optimizations to the automated programming stack, with applications that inspire improvements to the stack and in turn beget even more powerful automated tools.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJames Bornholt is a Ph.D. candidate in the Paul G. Allen School of Computer Science \u0026amp; Engineering at the University of Washington, advised by Emina Torlak, Dan Grossman, and Luis Ceze. His research interests are in programming languages and formal methods with a focus on automated program verification and synthesis. His work has received an ACM SIGPLAN Research Highlight, two IEEE Micro Top Picks selections, an OSDI best paper award, and a Facebook Ph.D. fellowship.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Optimizing the Automated Programming Stack"}],"uid":"34541","created_gmt":"2019-02-12 18:54:08","changed_gmt":"2019-02-12 18:55:09","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-03-05T11:00:00-05:00","event_time_end":"2019-03-05T12:00:00-05:00","event_time_end_last":"2019-03-05T12:00:00-05:00","gmt_time_start":"2019-03-05 16:00:00","gmt_time_end":"2019-03-05 17:00:00","gmt_time_end_last":"2019-03-05 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"617701":{"id":"617701","type":"image","title":"James Bornholt","body":null,"created":"1549997674","gmt_created":"2019-02-12 18:54:34","changed":"1549997674","gmt_changed":"2019-02-12 18:54:34","alt":"James Bornholt","file":{"fid":"235122","name":"me_square_2018.jpg","image_path":"\/sites\/default\/files\/images\/me_square_2018.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/me_square_2018.jpg","mime":"image\/jpeg","size":66227,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/me_square_2018.jpg?itok=viYLfVgX"}}},"media_ids":["617701"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"617647":{"#nid":"617647","#data":{"type":"event","title":"2019 Georgia Scientific Computing Symposium","body":[{"value":"\u003Cp\u003EThe Georgia Scientific Computing Symposium is a forum for professors, postdocs, graduate students and other researchers in Georgia to meet in an informal setting, to exchange ideas, and to highlight local scientific computing research. The symposium has been held every year since 2009 and is open to the entire research community.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis year, the symposium will be held on\u0026nbsp;\u003Cstrong\u003ESaturday, February 16, 2019\u003C\/strong\u003E, at Georgia Institute of Technology.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe format of the day-long symposium is a set of invited presentations, poster sessions and a poster blitz, and plenty of time to network with other attendees.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERegisteration is free but\u003Cstrong\u003E\u0026nbsp;please\u0026nbsp;\u0026nbsp;\u003Ca href=\u0022http:\/\/gtmap.gatech.edu\/registration-georgia-scientific-computing-symposium\u0022\u003ERegister Here\u003C\/a\u003E\u0026nbsp;to help us plan\u003C\/strong\u003E\u0026nbsp;the event better.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe\u0026nbsp; list of speakers includes:\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/people.math.gatech.edu\/~dieci\/\u0022\u003EProf. Luca Dieci\u003C\/a\u003E\u003C\/strong\u003E, Georgia Tech, School of Math\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/www.mathstat.gsu.edu\/profile\/jun-kong\/\u0022\u003EProf. Jun Kong\u003C\/a\u003E,\u003C\/strong\u003E\u0026nbsp;Georgia State University\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Ca href=\u0022http:\/\/alpha.math.uga.edu\/~mjlai\/\u0022\u003EProf. Ming-Jun Lai\u003C\/a\u003E,\u003C\/strong\u003E\u0026nbsp;University of Georgia\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~rpeng\/\u0022\u003EProf. Richard Peng\u003C\/a\u003E\u003C\/strong\u003E, Georgia Tech, School of Computer Science.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Ca href=\u0022http:\/\/www.mathcs.emory.edu\/~yxi26\/\u0022\u003EProf. Yuanzhe Xi\u003C\/a\u003E,\u003C\/strong\u003E\u0026nbsp;Emory University\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle and abstract\u003C\/strong\u003E\u0026nbsp;with\u0026nbsp;\u003Cstrong\u003Etentative schedule\u0026nbsp;\u003C\/strong\u003Ecan be found\u0026nbsp;\u003Cstrong\u003E\u003Ca href=\u0022http:\/\/gtmap.gatech.edu\/19-georgia-scientific-computing-symposium\u0022\u003EHere\u003C\/a\u003E.\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EPoster sessions\u003C\/strong\u003E\u0026nbsp;will be held during lunch and during the afternoon break. Anyone can present a poster, but we especially encourage graduate students and postdocs to use this opportunity to advertise their work.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMore information will be posted in the near future.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EPrevious Events\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/math.gsu.edu\/xye\/public\/gscs\/gscs2018.html\u0022\u003E2018 GSCS at Georgia State University\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/euler.math.uga.edu\/cms\/GSCS-2017\u0022\u003E2017 GSCS at University of Georgia\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/www.mathcs.emory.edu\/~nagy\/GSC2016\/\u0022\u003E2016 GSCS at Emory University\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~echow\/gscs15\/\u0022\u003E2015 GSCS at Georgia Institute of Technology, CSE\u0026nbsp;\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E2014 GSCS at Kennesaw State Univeristy\u003C\/p\u003E\r\n\r\n\u003Cp\u003E2013 GSCS at Georgia State University\u003C\/p\u003E\r\n\r\n\u003Cp\u003E2012 GSCS at University of Georgia\u003C\/p\u003E\r\n\r\n\u003Cp\u003E2011 GSCS at Emory University\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/ath.gatech.edu\/news\/georgia-scientific-computing-symposium\/\u0022\u003E2010 GSCS at Georgia Institute of Technology, Math\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/www.mathcs.emory.edu\/%7Enagy\/GSC2009\/\u0022\u003E2009 GSCS at Emory University\u003C\/a\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe Georgia Scientific Computing Symposium is a forum for professors, postdocs, graduate students and other researchers in Georgia to meet in an informal setting, to exchange ideas, and to highlight local scientific computing research. The symposium has been held every year since 2009 and is open to the entire research community.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"The Georgia Scientific Computing Symposium is a forum for professors, postdocs, graduate students and other researchers in Georgia to meet in an informal setting, to exchange ideas, and to highlight local scientific computing research. "}],"uid":"34540","created_gmt":"2019-02-12 13:37:31","changed_gmt":"2019-02-12 13:38:10","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-02-16T09:00:00-05:00","event_time_end":"2019-02-16T19:00:00-05:00","event_time_end_last":"2019-02-16T19:00:00-05:00","gmt_time_start":"2019-02-16 14:00:00","gmt_time_end":"2019-02-17 00:00:00","gmt_time_end_last":"2019-02-17 00:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1789","name":"Conference\/Symposium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EHaomin Zhou\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ehmzhou@math.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"617630":{"#nid":"617630","#data":{"type":"event","title":"SCS Recruiting Seminar: Shiqing Ma","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003ETransparent Computing Systems Enabled by Program Analysis\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EModern computing systems are complex and opaque, which is the root cause of many security and software engineering problems. In enterprise level system operations, this leads to inaccurate and hard-to-understand attack forensics results, and significant runtime and space overhead. In deep learning systems, such opaqueness prevents us from developing scientific ways to improve the trained models and combating adversarial sample attacks. Hence, there is a pressing need for improving the transparency of these systems to help us solve the corresponding security and software engineering problems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this talk, I will focus on my research efforts of developing novel program analysis techniques to improve the transparency of such systems and their applications in attack forensics and deep learning systems. For attack forensics, I will first describe an annotation-based execution partitioning technique MPI which helps accomplish accurate, semantics-rich and multi-perspective attack forensics. Then I will introduce my novel provenance tracking system design which leverages the accurate analysis results enabled by execution partitioning to achieve low runtime and space overhead by performing online system event redundancy detection and reduction. For deep learning systems, I will discuss how two widely used software engineering techniques, state differential analysis and input selection, are leveraged to analyze deep learning model internals for addressing underfitting and overfitting problems; and how deep learning model invariants that are analogous to program invariants can be used to defend against adversarial sample attacks Finally, I will briefly present my ongoing and future work on intelligent system (i.e., systems that combine traditional computing components and artificial intelligent components) security and productivity.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EShiqing Ma is a Ph.D. candidate in the department of computer science at Purdue University, co-advised by Professors Xiangyu Zhang and Dongyan Xu. His research interests lie in solving security and software engineering problems via program analysis techniques with a focus on improving the transparency of modern computing systems. He is the recipient of two Distinguished Paper Awards at ISOC NDSS 2016 and USENIX Security 2017.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Transparent Computing Systems Enabled by Program Analysis"}],"uid":"34541","created_gmt":"2019-02-11 19:09:44","changed_gmt":"2019-02-11 19:10:34","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-02-19T10:00:00-05:00","event_time_end":"2019-02-19T11:00:00-05:00","event_time_end_last":"2019-02-19T11:00:00-05:00","gmt_time_start":"2019-02-19 15:00:00","gmt_time_end":"2019-02-19 16:00:00","gmt_time_end_last":"2019-02-19 16:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"617631":{"id":"617631","type":"image","title":"Shiqing Ma","body":null,"created":"1549912219","gmt_created":"2019-02-11 19:10:19","changed":"1549912219","gmt_changed":"2019-02-11 19:10:19","alt":"Shiqing","file":{"fid":"235091","name":"shiqing-1.jpg","image_path":"\/sites\/default\/files\/images\/shiqing-1.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/shiqing-1.jpg","mime":"image\/jpeg","size":155130,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/shiqing-1.jpg?itok=bVk-exNV"}}},"media_ids":["617631"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"617551":{"#nid":"617551","#data":{"type":"event","title":"SCS Seminar: Swarat Chaudhuri","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EProgram Synthesis at the Edge of Artificial Intelligence\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EProgram synthesis, the problem of automatically discovering programs that implement a given specification, is a long-standing goal in computer science. The last decade has seen a resurgence of interest in this area. Many new algorithmic solutions to the problem have emerged, and diligent engineering and the availability of powerful hardware have raised hopes for practical deployment.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhile this \u0026quot;surge\u0026quot; has primarily taken place in the programming languages (PL) community, it is now becoming clear that progress in program synthesis can broadly impact applications across computer science. Specifically, my group has worked on applications of program\u003Cbr \/\u003E\r\nsynthesis in artificial intelligence for quite some time, and in this talk I will describe some of this work.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe talk starts with the observation that the essential AI tasks of learning and motion planning can be naturally formulated as program synthesis. Learning is formulated as the automatic discovery of a statistical model, represented as a program in a higher-level language\u003Cbr \/\u003E\r\nwith symbolic and neural components, that optimally fits a dataset. Motion planning is framed as the automatic discovery of a high-level program that directs a robot\u0026#39;s behavior, and that can be \u0026quot;executed\u0026quot; by a specific robot in a specific physical environment. The problems are then solved using a combination of symbolic methods for program synthesis, and traditional sampling- or optimization-based methods for learning and motion planning.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI will speak about two concrete bodies of work that implement this worldview, each drawing an arc from foundational research on program synthesis and ending with applications in machine learning and robotics. The first of these starts with a procedure for synthesis of\u003Cbr \/\u003E\r\nfunctional programs (published in the PL community), then applies it to synthesize programmatic classifiers and reinforcement learning policies (published in the ML community). The second starts with amethod for synthesis of reactive programs (published in a PL venue), and applies it in the setting of safe-by-construction robot motion planning under adversarial and uncertain environments (published in the robotics community). These efforts illustrate the value of the view of learning\/planning as program synthesis: specifically, that it facilitates the discovery of plans\/models that are easier to interpret, are guaranteed to satisfy a set of formal requirements, can leverage domain-specific axiomatic knowledge, and can reuse knowledge from previously performed tasks. They also open up a playground of new algorithmic problems, and form the beginnings of a long-term agenda of marrying formal methods with artificial intelligence.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESwarat Chaudhuri is an associate professor of computer science at Rice University. He studies algorithms \u0026mdash; based on automated deduction, combinatorial search and optimization, and statistical machine learning \u0026mdash; for program analysis and synthesis, and the use of these algorithms in practical systems that make programs more reliable, faster, and easier to write.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESwarat received a bachelor\u0026#39;s degree in computer science from the Indian Institute of Technology, Kharagpur, in 2001, and a doctoral degree in computer science from the University of Pennsylvania in 2007. From 2008-2011, he was an assistant professor at the Pennsylvania State University. He is a recipient of the National Science Foundation CAREER award, the ACM SIGPLAN John Reynolds Doctoral Dissertation Award, the Morris and Dorothy Rubinoff Dissertation Award, and a Google Research Award. He has served on\u003Cbr \/\u003E\r\nprogram committees of many conferences in Formal Methods and Programming Languages, and chaired the 2016 Conference on Computer-Aided Verification (CAV).\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Program Synthesis at the Edge of Artificial Intelligence"}],"uid":"34541","created_gmt":"2019-02-08 18:58:12","changed_gmt":"2019-02-08 19:28:25","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-02-21T10:00:00-05:00","event_time_end":"2019-02-21T11:00:00-05:00","event_time_end_last":"2019-02-21T11:00:00-05:00","gmt_time_start":"2019-02-21 15:00:00","gmt_time_end":"2019-02-21 16:00:00","gmt_time_end_last":"2019-02-21 16:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"610245":{"id":"610245","type":"image","title":"Swarat Chaudhuri","body":null,"created":"1535036141","gmt_created":"2018-08-23 14:55:41","changed":"1535036141","gmt_changed":"2018-08-23 14:55:41","alt":"Swarat Chaudhuri","file":{"fid":"232372","name":"prof_swarat_2.jpg","image_path":"\/sites\/default\/files\/images\/prof_swarat_2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/prof_swarat_2.jpg","mime":"image\/jpeg","size":424116,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/prof_swarat_2.jpg?itok=EYgwgl6e"}}},"media_ids":["610245"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"617449":{"#nid":"617449","#data":{"type":"event","title":"SCS \u0026 CSE Recruiting Seminar: Chi Jin","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EMachine Learning: Why Do Simple Algorithms Work So Well?\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWhile state-of-the-art machine learning models are deep, large-scale, sequential, and highly nonconvex, the backbone of modern learning algorithms are simple algorithms such as stochastic gradient descent, or Q-learning (in the case of reinforcement learning tasks). A basic question endures \u0026mdash;why do simple algorithms work so well even in these challenging settings?\u003Cbr \/\u003E\r\n\u0026nbsp;\u003Cbr \/\u003E\r\nThis talk focuses on two fundamental problems: (1) in nonconvex optimization, can gradient descent escape saddle points efficiently? (2) In reinforcement learning, is Q-learning sample efficient? We will provide the first line of provably positive answers to both questions. In particular, we will show that simple modifications to these classical algorithms guarantee significantly better properties, which explains the underlying mechanisms behind their favorable performance in practice.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EChi Jin is a Ph.D. candidate in computer science at UC Berkeley, advised by Michael I. Jordan. He received a B.S. in Physics from Peking University. His research interests lie in machine learning, statistics, and optimization, with his PhD work primarily focused on nonconvex optimization and reinforcement learning.\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Machine Learning: Why Do Simple Algorithms Work So Well?"}],"uid":"34541","created_gmt":"2019-02-06 20:45:36","changed_gmt":"2019-02-08 15:23:28","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-02-14T11:00:00-05:00","event_time_end":"2019-02-14T12:00:00-05:00","event_time_end_last":"2019-02-14T12:00:00-05:00","gmt_time_start":"2019-02-14 16:00:00","gmt_time_end":"2019-02-14 17:00:00","gmt_time_end_last":"2019-02-14 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"617451":{"id":"617451","type":"image","title":"Chi Jin","body":null,"created":"1549486234","gmt_created":"2019-02-06 20:50:34","changed":"1549486234","gmt_changed":"2019-02-06 20:50:34","alt":"Chi Jin","file":{"fid":"235022","name":"face.jpg","image_path":"\/sites\/default\/files\/images\/face.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/face.jpg","mime":"image\/jpeg","size":153451,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/face.jpg?itok=bXXlVvHE"}}},"media_ids":["617451"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"617359":{"#nid":"617359","#data":{"type":"event","title":"SCS Recruiting Seminar: Tselil Schramm","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EStatistical Problems and Convex Relaxations: Dreams of a General Theory\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;Algorithmic problems that arise in practice are often not well described by the worst-case model of computation. Statistical\u003Cbr \/\u003E\r\nmodels are an avenue for building a theory that better supports computational endeavors; rather than design algorithms for the worst case, we assume that inputs come from a structured distribution. From an algorithmic perspective, statistical models are a canonical construct in machine learning; from a complexity-theoretic perspective, statistical models are a rich source of cryptographic and security primitives.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this talk, I will describe my work towards building a theory of algorithms for statistical models using convex relaxations (and particularly the powerful sum-of-squares hierarchy). I\u0026rsquo;ll talk about my efforts in understanding the trade-off between computation and statistical information, in giving fast (often linear- or almost-linear-time) algorithms based on slower semidefinite programs, and in making a broad connection between convex programs and spectral algorithms for statistical problems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETselil Schramm is a postdoc in theoretical computer science at Harvard and MIT, hosted by Boaz Barak, Jon Kelner, Ankur Moitra, and Pablo Parrilo. She obtained her Ph.D. in computer science from U.C. Berkeley under the advisement of Prasad Raghavendra and Satish Rao, and was supported by a NSF Graduate Research Fellowship. She spent Fall 2017 as the Google Research Fellow at the Simons Institute program on optimization. Her research interests include statistical and average-case problems, optimization via convex programs (especially the sum-of-squares hierarchy), spectral algorithms, spectral graph theory, and more.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Statistical Problems and Convex Relaxations: Dreams of a General Theory"}],"uid":"34541","created_gmt":"2019-02-05 18:24:30","changed_gmt":"2019-02-05 18:25:46","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-02-12T11:00:00-05:00","event_time_end":"2019-02-12T12:00:00-05:00","event_time_end_last":"2019-02-12T12:00:00-05:00","gmt_time_start":"2019-02-12 16:00:00","gmt_time_end":"2019-02-12 17:00:00","gmt_time_end_last":"2019-02-12 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"617360":{"id":"617360","type":"image","title":"Tselil Schramm ","body":null,"created":"1549391109","gmt_created":"2019-02-05 18:25:09","changed":"1549391109","gmt_changed":"2019-02-05 18:25:09","alt":"Tselil Schramm ","file":{"fid":"234972","name":"headshot[1].jpg","image_path":"\/sites\/default\/files\/images\/headshot%5B1%5D.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/headshot%5B1%5D.jpg","mime":"image\/jpeg","size":226356,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/headshot%5B1%5D.jpg?itok=MlaIc0_E"}}},"media_ids":["617360"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"617204":{"#nid":"617204","#data":{"type":"event","title":"SCS \u0026 ECE Recruiting Seminar: Suriya Gunasekar","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003ERethinking the Role of Optimization in Learning\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;In this talk, I will overview our recent progress towards understanding how we learn large capacity machine learning models, especially deep neural networks. In the modern practice of deep learning, many successful models have far more trainable parameters compared to the number of training examples. Consequently, the optimization objective for training such models have multiple minimizers that perfectly fit the training data. More problematically, while some of these minimizers generalize well to new examples, most minimizers will simply overfit or memorize the training data and will perform poorly on new examples. In practice though, when such ill-posed objectives are minimized using local search algorithms like (stochastic) gradient descent ((S)GD), the \u0026ldquo;special\u0026rdquo; minimizers returned by these algorithms have remarkably good performance on new examples. In this talk, we will explore the role optimization algorithms like (S)GD in learning overparameterized models.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESuriya Gunasekar is a research assistant professor at the Toyota Technological Institute at Chicago. Prior to joining TTIC, she finished her Ph.D. at the University of Texas at Austin advised by Professor Joydeep Ghosh. Her research interests are broadly driven by statistical, algorithmic, and societal aspects of machine learning including topics of optimization, high dimensional learning, and algorithmic fairness.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Rethinking the Role of Optimization in Learning"}],"uid":"34541","created_gmt":"2019-02-01 21:55:11","changed_gmt":"2019-02-01 21:56:35","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-02-07T11:00:00-05:00","event_time_end":"2019-02-07T12:00:00-05:00","event_time_end_last":"2019-02-07T12:00:00-05:00","gmt_time_start":"2019-02-07 16:00:00","gmt_time_end":"2019-02-07 17:00:00","gmt_time_end_last":"2019-02-07 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"617205":{"id":"617205","type":"image","title":"Suriya Gunasekar","body":null,"created":"1549058174","gmt_created":"2019-02-01 21:56:14","changed":"1549058174","gmt_changed":"2019-02-01 21:56:14","alt":"Suriya Gunasekar","file":{"fid":"234908","name":"pic.jpg","image_path":"\/sites\/default\/files\/images\/pic_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/pic_0.jpg","mime":"image\/jpeg","size":631563,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/pic_0.jpg?itok=Crd3u41U"}}},"media_ids":["617205"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"616999":{"#nid":"616999","#data":{"type":"event","title":"SCS Recruiting Seminar: Josh Alman","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EAlgebraic Tools in Algorithms and Complexity\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this talk, I will speak about how algebraic tools can be used to solve problems throughout computer science. I will focus on two such tools: algorithms for quickly multiplying matrices and mathematical techniques for approximating functions by low-degree polynomials. I will survey how these two tools, when combined, yield a wide variety of new results, including:\u003C\/p\u003E\r\n\r\n\u003Cp\u003E- the fastest known algorithm for batch nearest neighbor search, where one is given many data points and wants to find the \u0026ldquo;most similar\u0026rdquo; pairs of points according to various metrics,\u003Cbr \/\u003E\r\n- state-of-the-art limitation results for threshold circuits, a loose model of neural networks,\u003Cbr \/\u003E\r\n- a new, efficient representation of the Walsh-Hadamard transform from signal processing, and\u003Cbr \/\u003E\r\n- limitations on all known approaches to designing fast matrix multiplication algorithms.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJosh Alman is a Ph.D. candidate in computer science at MIT, where he is advised by Ryan Williams and Virginia Vassilevska Williams. He received his master\u0026rsquo;s in computer science from Stanford in 2016 and his bachelor\u0026rsquo;s in mathematics from MIT in 2014.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Title: Algebraic Tools in Algorithms and Complexity"}],"uid":"34541","created_gmt":"2019-01-28 20:57:25","changed_gmt":"2019-01-28 21:49:05","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-02-05T11:00:00-05:00","event_time_end":"2019-02-05T12:00:00-05:00","event_time_end_last":"2019-02-05T12:00:00-05:00","gmt_time_start":"2019-02-05 16:00:00","gmt_time_end":"2019-02-05 17:00:00","gmt_time_end_last":"2019-02-05 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"617000":{"id":"617000","type":"image","title":"Josh Alman","body":null,"created":"1548709068","gmt_created":"2019-01-28 20:57:48","changed":"1548709068","gmt_changed":"2019-01-28 20:57:48","alt":"Josh Alman","file":{"fid":"234823","name":"jalman.jpg","image_path":"\/sites\/default\/files\/images\/jalman.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/jalman.jpg","mime":"image\/jpeg","size":400511,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/jalman.jpg?itok=z6gpj4Mv"}}},"media_ids":["617000"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"616749":{"#nid":"616749","#data":{"type":"event","title":"SCS Recruiting Seminar: Jakub Tarnawski","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003ETowards Better Algorithms for Fundamental Optimization Problems\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe constant growth in the sizes of modern datasets, combined with an increasing reliance on algorithms in all areas of life, makes the rigorous study of algorithms more relevant than ever and necessitates the development of new algorithmic techniques. In this talk, I will show how ideas and tools from the theory of polyhedra and linear programming can be applied to make progress in two of the most fundamental optimization problems on graphs.\u003Cbr \/\u003E\r\n\u0026nbsp;\u003Cbr \/\u003E\r\nThe focus of my talk will be the asymmetric version of the traveling salesman problem (ATSP), which consists in finding the shortest tour that visits all vertices of a given directed graph with weights (costs) on edges. I will show the main ideas that lead to the first constant-factor approximation algorithm for ATSP. Here, our techniques build upon the constant-factor approximation algorithm for the special case of unweighted graphs due to Svensson. In particular, I will explain a generic reduction to structured instances that resemble but are more general than those arising from unweighted graphs. This reduction takes advantage of a laminar family of vertex sets that arises from the standard linear programming relaxation.\u003Cbr \/\u003E\r\n\u0026nbsp;\u003Cbr \/\u003E\r\nI will also briefly discuss a new deterministic parallel algorithm for matchings in graphs. The algorithm is obtained by a derandomization of the celebrated Isolation Lemma by Mulmuley, Vazirani, and Vazirani in the context of perfect matchings, and its analysis heavily depends on the laminar structure of the faces of the perfect matching polytope.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJakub Tarnawski is a doctoral student in the theory of computation laboratory at the EPFL advised by Ola Svensson. He is broadly interested in theoretical computer science and combinatorial optimization, particularly in graph algorithms and approximation algorithms. He is a recipient of the best paper awards at STOC 2018 for his work on the traveling salesman problem and FOCS 2017 for his work on matchings.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Towards Better Algorithms for Fundamental Optimization Problems"}],"uid":"34541","created_gmt":"2019-01-23 15:34:20","changed_gmt":"2019-01-28 20:05:35","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-01-30T12:00:00-05:00","event_time_end":"2019-01-30T13:00:00-05:00","event_time_end_last":"2019-01-30T13:00:00-05:00","gmt_time_start":"2019-01-30 17:00:00","gmt_time_end":"2019-01-30 18:00:00","gmt_time_end_last":"2019-01-30 18:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"616751":{"id":"616751","type":"image","title":"Jakub Tarnawski","body":null,"created":"1548257807","gmt_created":"2019-01-23 15:36:47","changed":"1548257807","gmt_changed":"2019-01-23 15:36:47","alt":"Jakub Tarnawski","file":{"fid":"234736","name":"jakub tarnawski photo.jpg","image_path":"\/sites\/default\/files\/images\/jakub%20tarnawski%20photo.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/jakub%20tarnawski%20photo.jpg","mime":"image\/jpeg","size":265929,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/jakub%20tarnawski%20photo.jpg?itok=hci_aFHS"}}},"media_ids":["616751"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"616529":{"#nid":"616529","#data":{"type":"event","title":"SCS Recruiting Seminar: Avishay Tal","body":[{"value":"\u003Cp\u003ETITLE: Title: \u003Cem\u003ESparse Polynomial Approximations and their Applications to\u003Cbr \/\u003E\r\nQuantum Advantage, Parallel Computation, and Pseudorandomness\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis talk is motivated by three seemingly unrelated questions:\u003Cbr \/\u003E\r\n1. For which tasks do quantum algorithms outperform classical computation?\u003Cbr \/\u003E\r\n2. Can parallel computing accelerate all computational tasks, or are some tasks inherently sequential?\u003Cbr \/\u003E\r\n3. Can we de-randomize every algorithm while increasing its space by at most a constant factor?\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWe make progress on all three questions by exploiting a common phenomenon at the core of their analysis: in all cases, the studied computational devices can be well-approximated by sparse polynomials. As one of the results, we show that relative to an oracle, quantum algorithms can perform decision tasks that are outside the polynomial-time hierarchy (that captures P, NP, coNP and their generalizations). This settles one of the big open questions in the area of quantum complexity.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELooking forward, we conjecture that several other computational devices can be well-approximated by sparse polynomials. Proving our conjecture would resolve several big open questions in computational complexity that have remained open since the 1980s.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nAvishay Tal is a Motwani Postdoctoral Research Fellow at Stanford University, hosted by Omer Reingold. Prior to that, he was a postdoctoral researcher at the Institute for Advanced Study, hosted byAvi Wigderson. He obtained his Ph.D. in 2015 from the Weizmann Institute of Science, under the guidance of Ran Raz. His research interests include complexity theory, analysis of Boolean functions, quantum computing, pseudorandomness, and learning theory.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Sparse Polynomial Approximations and their Applications to Quantum Advantage, Parallel Computation, and Pseudorandomness"}],"uid":"34541","created_gmt":"2019-01-16 19:25:47","changed_gmt":"2019-01-16 19:27:07","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-01-22T11:00:00-05:00","event_time_end":"2019-01-22T12:00:00-05:00","event_time_end_last":"2019-01-22T12:00:00-05:00","gmt_time_start":"2019-01-22 16:00:00","gmt_time_end":"2019-01-22 17:00:00","gmt_time_end_last":"2019-01-22 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"616530":{"id":"616530","type":"image","title":"Avishay Tal","body":null,"created":"1547666770","gmt_created":"2019-01-16 19:26:10","changed":"1547666770","gmt_changed":"2019-01-16 19:26:10","alt":"Avishay Tal","file":{"fid":"234663","name":"AvishayTal.jpg","image_path":"\/sites\/default\/files\/images\/AvishayTal.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/AvishayTal.jpg","mime":"image\/jpeg","size":348301,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/AvishayTal.jpg?itok=r2vK-yGX"}}},"media_ids":["616530"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"616220":{"#nid":"616220","#data":{"type":"event","title":"SCS Recruiting Seminar: Yuanzhi Li","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003ETowards Deeper Understandings of Deep Learning\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERecent breakthroughs in machine learning often involve learning highly non-convex models, especially deep neural networks. Though many empirical works have demonstrated the success of these methods, the formal study of the principles behind them is less established.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis talk will show a few of the recent results towards developing such principles. In particular, we focus on the over-parameterized neural networks for multi-class classifications. We will show that stochastic gradient descent (SGD) on over-parameterized deep neural networks provably finds the global minimum for the training objective. Moreover, we also prove that such perfect fitting can also be extended to test data set when the labels are generated by certain teaching networks.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis talk will also cover how to use the above results as a step to establish the theory behind the \u0026ldquo;magic\u0026rsquo;\u0026rsquo; of learning rate decay in training neural networks, as well as how the identity mapping in ResNet helps in the learning process.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EYuanzhi Li is a postdoctoral researcher at the computer science department of Stanford University. Previously, he obtained his Ph.D. at Princeton under the advice of Sanjeev Arora. His research interests include topics in deep learning, non-convex optimization, and online learning.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Towards Deeper Understandings of Deep Learning"}],"uid":"34541","created_gmt":"2019-01-10 19:19:39","changed_gmt":"2019-01-10 19:22:15","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-01-15T11:00:00-05:00","event_time_end":"2019-01-15T12:00:00-05:00","event_time_end_last":"2019-01-15T12:00:00-05:00","gmt_time_start":"2019-01-15 16:00:00","gmt_time_end":"2019-01-15 17:00:00","gmt_time_end_last":"2019-01-15 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"616221":{"id":"616221","type":"image","title":"Yuanzhi Li","body":null,"created":"1547148031","gmt_created":"2019-01-10 19:20:31","changed":"1547148031","gmt_changed":"2019-01-10 19:20:31","alt":"Yuanzhi Li","file":{"fid":"234536","name":"961061629.jpg","image_path":"\/sites\/default\/files\/images\/961061629.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/961061629.jpg","mime":"image\/jpeg","size":69215,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/961061629.jpg?itok=Rr-PYP1u"}}},"media_ids":["616221"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"616073":{"#nid":"616073","#data":{"type":"event","title":"Nobel Laureate Robert Aumann Lecture","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EWhat:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u0026quot;Rule-Rationality: A Synthesis of Behavioral and Mainstream Economics\u0026quot;\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\n\u003Cstrong\u003EWho:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E2005 Nobel Laureate Robert Aumann,\u0026nbsp;\u003Cem\u003Eprofessor,\u0026nbsp;\u003Ca href=\u0022http:\/\/www.ratio.huji.ac.il\/Aumann_Yisrael\u0022 target=\u0022_blank\u0022\u003ET\u003C\/a\u003E\u003Ca href=\u0022http:\/\/www.ratio.huji.ac.il\/Aumann_Yisrael\u0022\u003Ehe Federmann\u0026nbsp;Center for the Study of Rationality, Hebrew University of Jerusalem\u003C\/a\u003E\u003C\/em\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\n\u003Cstrong\u003EWhen:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EJanuary 29, 2019,\u0026nbsp;4:30 \u0026ndash; 5:30 p.m.\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cem\u003EReception from 5:30 \u0026ndash; 6: 30 p.m. at the\u0026nbsp;\u003Ca href=\u0022https:\/\/cdi.gatech.edu\/\u0022 target=\u0022_blank\u0022\u003ECenter for Deliberate Innovation\u003C\/a\u003E\u003C\/em\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\n\u003Cstrong\u003EWhere:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003ELecture:\u0026nbsp;\u003Ca href=\u0022https:\/\/www.scheller.gatech.edu\/index.html\u0022 target=\u0022_blank\u0022\u003EScheller College of Business\u003C\/a\u003E, Room 100\u003C\/li\u003E\r\n\t\u003Cli\u003EReception:\u0026nbsp;\u003Ca href=\u0022https:\/\/cdi.gatech.edu\u0022 target=\u0022_blank\u0022\u003ECenter for Deliberate Innovation\u003C\/a\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDirections and Parking:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/https\/www.scheller.gatech.edu\/why-scheller\/visit-campus\/directions-parking.html\u0022 target=\u0022_blank\u0022\u003EClick here for directions\u003C\/a\u003E\u003Ca href=\u0022https:\/\/www.scheller.gatech.edu\/why-scheller\/visit-campus\/directions-parking.html\u0022\u003E\u0026nbsp;and parking\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cem\u003EVisitor parking is also available at Visitors Area 6\u003C\/em\u003E\u0026nbsp;\u003Cem\u003E\u003Ca href=\u0022http:\/\/pts.gatech.edu\/visitors#l3\u0022 target=\u0022_blank\u0022\u003EClick here for a Parking Map\u003C\/a\u003E\u003C\/em\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\n\u003Cstrong\u003ESponsored by:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/\u0022 target=\u0022_blank\u0022\u003EGeorgia Tech\u0026#39;s College of Computing\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/econ.gatech.edu\/\u0022 target=\u0022_blank\u0022\u003EThe School of Economics, Ivan Allen College of Liberal Arts\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/cdi.gatech.edu\/\u0022 target=\u0022_blank\u0022\u003ECenter for Deliberate Innovation\u003C\/a\u003E\u003Cbr \/\u003E\r\n\t\u0026nbsp;\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_cA1umP05PzOElE1\u0022\u003ERSVP\u0026nbsp;HERE\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAbstract:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMainstream economic theory is based on the rationality assumption: that people act as best they can to promote their interests. Contrariwise, behavioral economics holds that people act by behavioral rules of thumb, often with poor results. We propose a synthesis according to which people indeed act by rules, which usually work well; but in exceptional or contrived scenarios, may work poorly. The reason is that like physical features, behavioral rules have evolved; and evolution works on the usual, the common---not the exception, not the contrived scenario. The upshot is that on the whole, people act rationally.\u0026nbsp; The often-heard assertion that \u0026quot;people do not act as economists think\u0026quot; is simply unfounded.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBiography:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERobert Aumann was born in Frankfurt am Main, Germany, in 1930, to a well-to-do orthodox Jewish family.\u0026nbsp; Fleeing Nazi persecution, he emigrated to the United States with his family in 1938, settling in New York.\u0026nbsp; In the process, his parents lost everything, but nevertheless gave their two children an excellent Jewish and general education.\u0026nbsp; Aumann attended Yeshiva elementary and high schools, got a bachelor\u0026#39;s degree from the City College of New York in 1950, and a Ph.D. in mathematics from MIT in 1955.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nHe joined the mathematics department at the Hebrew University of Jerusalem in 1956, and has been there ever since.\u0026nbsp; In 1990, he was among the founders of the Center for Rationality at the Hebrew University, an interdisciplinary research center, centered on Game Theory, with members from over a dozen different departments, including Business, Economics, Psychology, Computer Science, Law, Mathematics, Ecology, Philosophy, and others.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAumann is the author of over ninety scientific papers and six \u0026nbsp;books, and has held visiting positions at Princeton, Yale, Berkeley, \u0026nbsp;Louvain, Stanford, Stony Brook, and NYU.\u0026nbsp; He is a member of the American Academy of Arts and Sciences, the National Academy of Sciences (USA), the British Academy, and the Israel Academy of Sciences; holds honorary doctorates from the Universities of Chicago, Bonn, Louvain, City University of New York, Bar Ilan University, and Ben Gurion University of the Negev; and has\u0026nbsp;received numerous prizes, including the Nobel Memorial Prize in Economic Sciences for 2005.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nAumann is married and had five children (the oldest was killed in Lebanon in 1982). Also, he has twenty-one grandchildren, and twenty-six great-grandchildren. When not working, he likes to hike, ski, cook, and study the Talmud.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Nobel Laureate Robert Aumann Lecture"}],"uid":"34540","created_gmt":"2019-01-08 19:24:04","changed_gmt":"2019-01-08 19:42:03","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-01-29T16:30:00-05:00","event_time_end":"2019-01-29T18:30:00-05:00","event_time_end_last":"2019-01-29T18:30:00-05:00","gmt_time_start":"2019-01-29 21:30:00","gmt_time_end":"2019-01-29 23:30:00","gmt_time_end_last":"2019-01-29 23:30:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food"],"hg_media":{"616075":{"id":"616075","type":"image","title":"Robert Aumann","body":null,"created":"1546975634","gmt_created":"2019-01-08 19:27:14","changed":"1546975634","gmt_changed":"2019-01-08 19:27:14","alt":"","file":{"fid":"234507","name":"Prof. Aumann.jpg","image_path":"\/sites\/default\/files\/images\/Prof.%20Aumann.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Prof.%20Aumann.jpg","mime":"image\/jpeg","size":68668,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Prof.%20Aumann.jpg?itok=McCgHPpD"}}},"media_ids":["616075"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"654","name":"College of Computing"},{"id":"180090","name":"Robert Aumann"},{"id":"14430","name":"Nobel Laureate"},{"id":"167037","name":"school of economics"},{"id":"1616","name":"Ivan Allen College of Liberal Arts"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBirney Robert\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ebrobert@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"614996":{"#nid":"614996","#data":{"type":"event","title":"CRNCH\/CSE Quantum Distinguished Lecture Series: Ken Brown","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EConstructing a Quantum Computer\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EQuantum computation uses the rules of quantum mechanics to process information in a way that is fundamentally different than a digital computer. This enables the construction of algorithms that are exponentially faster than the best know current algorithms.\u0026nbsp; These provable quantum speedups are currently\u0026nbsp;beyond our reach due to the limitations of available quantum processors. I will give an overview of the state of the field and the challenges of scaling the hardware. I will discuss our recent work on quantum error correction and how this points towards the value of co-designing the hardware architecture and the applications.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EKenneth Brown is an associate professor of electrical and computer engineering, chemistry, and physics at Duke University. From 2007-2017, he was a faculty member in the Schools of Chemistry and Biochemistry, Computational Science and Engineering, and Physics at Georgia Tech. In 2018, he was\u0026nbsp;elected a fellow of the American Physical Society and has previously served as the chair of the Division of Quantum Information. He currently directs the Software Tailored Architecture for Quantum co-design (STAQ) project funded by the National Science Foundation to construct a programmable, fully-connected quantum computer.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Constructing a Quantum Computer"}],"uid":"34541","created_gmt":"2018-12-05 16:04:08","changed_gmt":"2018-12-05 18:38:53","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-12-10T11:00:00-05:00","event_time_end":"2018-12-10T12:00:00-05:00","event_time_end_last":"2018-12-10T12:00:00-05:00","gmt_time_start":"2018-12-10 16:00:00","gmt_time_end":"2018-12-10 17:00:00","gmt_time_end_last":"2018-12-10 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"615022":{"id":"615022","type":"image","title":"Ken Brown","body":null,"created":"1544035118","gmt_created":"2018-12-05 18:38:38","changed":"1544035118","gmt_changed":"2018-12-05 18:38:38","alt":"Ken Brown","file":{"fid":"234187","name":"Unknown-3.png","image_path":"\/sites\/default\/files\/images\/Unknown-3.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Unknown-3.png","mime":"image\/png","size":69354,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Unknown-3.png?itok=5qe_zkR7"}}},"media_ids":["615022"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"576491","name":"CRNCH"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"614737":{"#nid":"614737","#data":{"type":"event","title":"Mary Jean Harrold Memorial Distinguished Lecture: Jeannette Wing","body":[{"value":"\u003Cp\u003ETITLE: Data for Good: Data Science at Columbia\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EEvery field has data.\u0026nbsp; We use data to discover new knowledge, interpret the world, make decisions, and even predict the future. The recent convergence of big data, cloud computing, and novel machine learning algorithms and statistical methods is causing an explosive interest in data science and its applicability to all fields.\u0026nbsp; This convergence has already enabled the automation of some tasks that better human performance. The novel capabilities we derive from data science will drive our cars, treat disease, and keep us safe. At the same time, such capabilities risk leading to biased, inappropriate, or unintended action. The design of data science solutions requires both excellence in the fundamentals of the field and expertise to develop applications that meet human challenges without creating even greater risk.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe Data Science Institute at Columbia University promotes \u0026ldquo;Data for Good\u0026rdquo;: using data to address societal challenges and bringing humanistic perspectives as \u0026mdash; not after \u0026mdash; new science and technology are invented. Started in 2012, the institute is now a university-level institute representing over 300 affiliated faculty from 12 different schools across campus.\u0026nbsp; Data science literally touches every corner of the university.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this talk, I will present the mission of the Institute and highlights of our educational and research activities.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJeannette M. Wing is Avanessians Director of the Data Science Institute and professor of computer science at Columbia University. From 2013 to 2017, she was a corporate vice president of Microsoft Research. She is consulting professor of computer science at Carnegie Mellon, where she has twice served as the head of the computer science department and been on the faculty since 1985.\u0026nbsp; From 2007 to 2010, she was the assistant director of the Computer and Information Science and Engineering Directorate at the National Science Foundation.\u0026nbsp; She received her S.B., S.M., and Ph.D. degrees in computer science\u003Cbr \/\u003E\r\nfrom the Massachusetts Institute of Technology.\u003Cbr \/\u003E\r\n\u0026nbsp;\u003Cbr \/\u003E\r\nWing\u0026rsquo;s general research interests are in the areas of trustworthy computing, specification and verification, concurrent and distributed systems, programming languages, and software engineering. Her current interests are in the foundations of security and privacy,\u003Cbr \/\u003E\r\nwith a new focus on trustworthy AI.\u0026nbsp; She was or is on the editorial board of twelve journals, including the Journal of the ACM and Communications of the ACM.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Data for Good: Data Science at Columbia"}],"uid":"34541","created_gmt":"2018-11-28 21:04:46","changed_gmt":"2018-11-28 21:05:34","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-12-07T11:00:00-05:00","event_time_end":"2018-12-07T12:00:00-05:00","event_time_end_last":"2018-12-07T12:00:00-05:00","gmt_time_start":"2018-12-07 16:00:00","gmt_time_end":"2018-12-07 17:00:00","gmt_time_end_last":"2018-12-07 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food"],"hg_media":{"614738":{"id":"614738","type":"image","title":"Jeanette Wing","body":null,"created":"1543439121","gmt_created":"2018-11-28 21:05:21","changed":"1543439121","gmt_changed":"2018-11-28 21:05:21","alt":"Jeannette Wing","file":{"fid":"234056","name":"Jeannette-Wing.jpg","image_path":"\/sites\/default\/files\/images\/Jeannette-Wing.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Jeannette-Wing.jpg","mime":"image\/jpeg","size":503752,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Jeannette-Wing.jpg?itok=TYxi_LMm"}}},"media_ids":["614738"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"614653":{"#nid":"614653","#data":{"type":"event","title":"SCS Seminar: Sonia Chernova","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EToward Smart Autonomy for Interactive Robotic Systems\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERobotics is undergoing an exciting transition from factory automation to the deployment of autonomous systems in less structured environments, such as warehouses, hospitals, and homes. One of the critical barriers to the wider adoption of autonomous robotic systems in the wild is the challenge of achieving reliable autonomy. In this talk, I will discuss ways in which innovations in learning from demonstration and remote access technologies can aid the deployment of autonomous robots. I will present applications of this research paradigm to robot learning, object manipulation, and semantic reasoning, as well as explore some exciting avenues for future research in this area.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESonia Chernova is an associate professor in the School of Interactive Computing at Georgia Tech, where she directs the Robot Autonomy and Interactive Learning research lab.\u0026nbsp; Her research spans semantic reasoning, human-robot interaction, interactive machine learning, and cloud robotics, with the focus on developing robots that are able to effectively operate in human environments. She is the recipient of the NSF CAREER, ONR Young Investigator, and NASA Early Career Faculty awards.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Toward Smart Autonomy for Interactive Robotic Systems"}],"uid":"34541","created_gmt":"2018-11-27 17:06:01","changed_gmt":"2018-11-27 17:06:01","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-11-30T14:00:00-05:00","event_time_end":"2018-11-30T15:00:00-05:00","event_time_end_last":"2018-11-30T15:00:00-05:00","gmt_time_start":"2018-11-30 19:00:00","gmt_time_end":"2018-11-30 20:00:00","gmt_time_end_last":"2018-11-30 20:00:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food"],"hg_media":{"590892":{"id":"590892","type":"image","title":"Sonia Chernova","body":null,"created":"1493135717","gmt_created":"2017-04-25 15:55:17","changed":"1493135717","gmt_changed":"2017-04-25 15:55:17","alt":"Sonia Chernova","file":{"fid":"225134","name":"sonia.jpg","image_path":"\/sites\/default\/files\/images\/sonia.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/sonia.jpg","mime":"image\/jpeg","size":1168133,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/sonia.jpg?itok=zhWnGVuX"}}},"media_ids":["590892"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"614467":{"#nid":"614467","#data":{"type":"event","title":"SCS Colloquium: Steven Swanson","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EWhat Should We Do With Persistent Main Memory?\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMemory systems are on the verge of a renaissance:\u0026nbsp; Scalable, persistent main memories (e.g., Intel\u0026rsquo;s 3DXPoint) are the first new technology to enter the upper layers of the memory hierarchy in 50 years.\u0026nbsp; They bring a fundamentally new capability (i.e., persistence), a dramatic increase in capacity, and an array of complications (e.g., asymmetric read and write performance, power limitations, and wear out).\u0026nbsp; This combination of characteristics raises a deceptively simple but fundamental question:\u0026nbsp; What should we do with persistent main memory? In this talk, I will describe several potential answers and the systems (including local and distributed file systems, hardware prototypes, and user space libraries) my group has built to help understand how different answers affect performance, programmability, and other aspects of system design.\u0026nbsp; I\u0026rsquo;ll also highlight the central challenges that these memories present and try to summarize what we have learned about them.\u0026nbsp; Finally, I\u0026rsquo;ll describe what I see as the most interesting avenues for future work.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;Steven Swanson is a professor in the Department of Computer Science and Engineering at the University of California, San Diego and the director of the Non-volatile Systems Laboratory. His research interests include the systems, architecture, security, and reliability issues surrounding heterogeneous memory\/storage systems, especially those that incorporate non-volatile, solid-state memories.\u0026nbsp; He has received an NSF CAREER Award, Google Faculty Awards, a Facebook Faculty Award, and been a NetApp Faculty Fellow. He is a co-founder of the Non-Volatile Memories Workshop. In previous lives, he worked on low-power co-processors for irregular applications and building scalable dataflow architectures. He received his Ph.D. from the University of Washington in 2006 and his undergraduate degree from the University of Puget Sound in 1999.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"What Should We Do With Persistent Main Memory?"}],"uid":"34541","created_gmt":"2018-11-20 16:32:40","changed_gmt":"2018-11-20 16:45:52","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-11-29T11:00:00-05:00","event_time_end":"2018-11-29T12:00:00-05:00","event_time_end_last":"2018-11-29T12:00:00-05:00","gmt_time_start":"2018-11-29 16:00:00","gmt_time_end":"2018-11-29 17:00:00","gmt_time_end_last":"2018-11-29 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"614468":{"id":"614468","type":"image","title":"Steven Swanson","body":null,"created":"1542732336","gmt_created":"2018-11-20 16:45:36","changed":"1542732336","gmt_changed":"2018-11-20 16:45:36","alt":"Steven Swanson","file":{"fid":"233941","name":"StevenSwansonLarge.jpg","image_path":"\/sites\/default\/files\/images\/StevenSwansonLarge.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/StevenSwansonLarge.jpg","mime":"image\/jpeg","size":584688,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/StevenSwansonLarge.jpg?itok=i3QNGqRr"}}},"media_ids":["614468"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"612373":{"#nid":"612373","#data":{"type":"event","title":"SCS Seminar: Santosh Vempala ","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EMachines, Brains, Humans \u0026mdash; and Other Computational Enigmas\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EComputation \u0026mdash; well-defined sequences of state changes \u0026mdash; is universal. In this talk, we discuss recent struggles with understanding three aspects of it: (1) How does the brain create, recall, and associate memories? (Will you remember this abstract?) (2) How to measure the complexity of human computation? (Think adding in your head or playing chess) (3) What concepts\/functions can (and cannot) be provably learned by deep neural networks? (This one might be worth some $$. )They all have a common answer \u0026mdash; I don\u0026rsquo;t know. I\u0026rsquo;ll describe some surprises, several hypotheses, and a sea of challenges.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis abstract was generated by a recurrent NN; please excuse output errors.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESantosh Vempala is a Distinguished Professor of Computer Science at the Georgia Institute of Technology. Vempala attended Carnegie Mellon University, where he received his Ph.D. in 1997 under Professor Avrim Blum. In 1997, he was awarded a Miller Fellowship at Berkeley. Subsequently, he was a professor at MIT in the Mathematics Department until he moved to Georgia Tech in 2006. His main work has been in the area of theoretical computer science, with particular activity in the fields of algorithms; randomized algorithms; computational geometry; and computational learning theory, including the authorship of books on random projection and spectral methods. In 2008, he co-founded the Computing for Good (C4G) program at Georgia Tech. Vempala has received numerous awards, including a Guggenheim Fellowship and Sloan Fellowship. He was named Fellow of ACM \u0026ldquo;for contributions to algorithms for convex sets and probability distributions\u0026rdquo; in 2015.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/media\/Machines%2C+Brains%2C+Humans+---++and+other+Computational+Enigmas\/1_ka58yub1\u0022\u003EWatch the talk\u003C\/a\u003E.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Title: Machines, Brains, Humans \u2014 and Other Computational Enigmas"}],"uid":"34541","created_gmt":"2018-10-05 03:28:30","changed_gmt":"2018-11-20 15:25:35","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-10-19T15:00:00-04:00","event_time_end":"2018-10-19T16:00:00-04:00","event_time_end_last":"2018-10-19T16:00:00-04:00","gmt_time_start":"2018-10-19 19:00:00","gmt_time_end":"2018-10-19 20:00:00","gmt_time_end_last":"2018-10-19 20:00:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food"],"hg_media":{"350051":{"id":"350051","type":"image","title":"Santosh Vempala compressed","body":null,"created":"1449245702","gmt_created":"2015-12-04 16:15:02","changed":"1475895075","gmt_changed":"2016-10-08 02:51:15","alt":"Santosh Vempala compressed","file":{"fid":"201072","name":"santosh-vempala_0.jpg","image_path":"\/sites\/default\/files\/images\/santosh-vempala_0_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/santosh-vempala_0_0.jpg","mime":"image\/jpeg","size":12220,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/santosh-vempala_0_0.jpg?itok=l39lIkkk"}}},"media_ids":["350051"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"614357":{"#nid":"614357","#data":{"type":"event","title":"Dean\u0027s New Graduate Alumni Celebration","body":[{"value":"\u003Cp\u003ECongratulations! You are about to earn your graduate degree from Georgia Tech, and we want to honor your achievement and help you celebrate!\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPlease join us for the Dean\u0026#39;s New Graduate Alumni Celebration, to\u0026nbsp;be held Thursday, Dec.\u0026nbsp;13,\u0026nbsp;5 p.m. - 8:30\u0026nbsp;p.m. at\u0026nbsp;Georgia Tech\u0026#39;s\u0026nbsp;Historic Academy of Medicine. Families and graduates will have the opportunity to mingle with\u0026nbsp;Dean Zvi Galil,\u0026nbsp;College of Computing professors, staff and\u0026nbsp;fellow students!\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E5 p.m. -\u0026nbsp;6:30 p.m. - Hors d\u0026#39;oeuvres, cocktails and registration\u003C\/li\u003E\r\n\t\u003Cli\u003E6:30 p.m. - 7:30\u0026nbsp;p.m. - Program\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E7:30 p.m. - 8:30\u0026nbsp;p.m. - Dessert and coffee\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EComplimentary valet parking is available at the \u003Ca href=\u0022http:\/\/www.academy.gatech.edu\/\u0022 target=\u0022_blank\u0022\u003EHistoric Academy of Medicine\u003C\/a\u003E for this event on Thursday, Dec. 13, 5 p.m. - 8:30 p.m.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nPlease RSVP no later than Monday, Dec.3\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMake a weekend out of your graduation celebration!\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EOMSCS New Graduate Campus Tour\u003C\/strong\u003E: Thursday, Dec.\u0026nbsp;13, 3 p.m. Family and graduation guests welcome. Please RSVP via email to \u003Ca href=\u0022mailto:baiello@cc.gatech.edu?subject=OMSCS%20New%20Graduate%20Campus%20Tour\u0022 target=\u0022_blank\u0022\u003Eb\u003C\/a\u003E\u003Ca href=\u0022http:\/\/brobert@cc.gatech.edu\u0022 target=\u0022_blank\u0022\u003Erobert@cc.gatech.edu\u003C\/a\u003E with your expected number of participants.\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/www.commencement.gatech.edu\/schedule\u0022 target=\u0022_blank\u0022\u003EPh.D. Commencement:\u003C\/a\u003E\u0026nbsp;Friday, Dec. 14, 9 a.m. -11 a.m. at\u0026nbsp;\u003Ca href=\u0022http:\/\/www.commencement.gatech.edu\/venue-information\u0022 target=\u0022_blank\u0022\u003EMcCamish Pavilion\u003C\/a\u003E. Students need to report for line-up at 8:15 a.m.\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/www.commencement.gatech.edu\/presidents-graduation-celebration\u0022 target=\u0022_blank\u0022\u003EPresident\u0026#39;s Graduation Celebration\u003C\/a\u003E: Friday, Dec. 14, 11\u0026nbsp;a.m. -\u0026nbsp;1\u0026nbsp;p.m., Student Center. No RSVP required.\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/www.commencement.gatech.edu\/schedule\u0022 target=\u0022_blank\u0022\u003EMaster\u0026#39;s Commencement\u003C\/a\u003E: Friday, Dec. 14, 3 p.m. - 5:30 p.m. at \u003Ca href=\u0022http:\/\/www.commencement.gatech.edu\/venue-information\u0022 target=\u0022_blank\u0022\u003EMcCamish Pavilion\u003C\/a\u003E. Students need to report for line-up at 2 p.m.\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Dean\u0027s New Graduate Alumni Celebration"}],"uid":"28150","created_gmt":"2018-11-16 18:41:31","changed_gmt":"2018-11-16 18:41:31","author":"Birney Robert","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-12-13T17:00:00-05:00","event_time_end":"2018-12-13T20:30:00-05:00","event_time_end_last":"2018-12-13T20:30:00-05:00","gmt_time_start":"2018-12-13 22:00:00","gmt_time_end":"2018-12-14 01:30:00","gmt_time_end_last":"2018-12-14 01:30:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food","freebies"],"hg_media":{"522561":{"id":"522561","type":"image","title":"Dean\u0027s New Alumni Celebration Graphic","body":null,"created":"1460134800","gmt_created":"2016-04-08 17:00:00","changed":"1475895291","gmt_changed":"2016-10-08 02:54:51","alt":"Dean\u0027s New Alumni Celebration Graphic","file":{"fid":"205374","name":"gtcomputinggraphic.jpg","image_path":"\/sites\/default\/files\/images\/gtcomputinggraphic_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/gtcomputinggraphic_0.jpg","mime":"image\/jpeg","size":176671,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/gtcomputinggraphic_0.jpg?itok=xEL5GxwM"}}},"media_ids":["522561"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"168539","name":"Dean\u0027s New Alumni Celebration"},{"id":"109","name":"Georgia Tech"},{"id":"654","name":"College of Computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBirney Robert\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ebrobert@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"614322":{"#nid":"614322","#data":{"type":"event","title":"2018 Dean\u0027s Holiday Party","body":[{"value":"\u003Ch3\u003E2018 Dean\u0026#39;s Holiday Party\u003C\/h3\u003E\r\n\r\n\u003Cp\u003EJoin your College of Computing colleagues at the 2018 Dean\u0026#39;s Holiday Party at 12-3 p.m. Dec. 7 in the Tech Square Research Building Banquet Hall.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EMore information to come.\u003C\/em\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Join your College of Computing colleagues at the 2018 Dean\u0027s Holiday Party, 12-3 p.m. Dec. 7 in TSRB."}],"uid":"33939","created_gmt":"2018-11-16 06:32:54","changed_gmt":"2018-11-16 06:32:54","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-12-07T12:00:00-05:00","event_time_end":"2018-12-07T15:00:00-05:00","event_time_end_last":"2018-12-07T15:00:00-05:00","gmt_time_start":"2018-12-07 17:00:00","gmt_time_end":"2018-12-07 20:00:00","gmt_time_end_last":"2018-12-07 20:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"614321":{"id":"614321","type":"image","title":"Holiday Party","body":null,"created":"1542349902","gmt_created":"2018-11-16 06:31:42","changed":"1542349902","gmt_changed":"2018-11-16 06:31:42","alt":"Happy Holidays from the College of Computing!","file":{"fid":"233875","name":"Team MUM holiday mailchimp hero.png","image_path":"\/sites\/default\/files\/images\/Team%20MUM%20holiday%20mailchimp%20hero.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Team%20MUM%20holiday%20mailchimp%20hero.png","mime":"image\/png","size":678741,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Team%20MUM%20holiday%20mailchimp%20hero.png?itok=Md0WSk-y"}}},"media_ids":["614321"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EPatricia Allen\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:pallen@cc.gatech.edu\u0022\u003Epallen@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"614190":{"#nid":"614190","#data":{"type":"event","title":"SCS Seminar: Dana Randall","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EEmergent Phenomena in Algorithms and Applications\u0026nbsp; \u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHow do you control a set of asynchronous agents with limited computational ability and get them to perform a useful collective task?\u0026nbsp; This and related questions lie at the heart of programmable active matter and swarm robotics.\u0026nbsp; We will see how lessons learned from algorithms and physical systems, such as phase transitions, can be leveraged to force interesting collective behaviors.\u0026nbsp; We will also explore how phase transitions greatly affect the efficiency of simple Markov chains used for sampling and yield insights for problems from other fields, such as particle systems, colloids, and models of segregation.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDana Randall is the co-executive director of the Institute for Data Engineering and Science, the ADVANCE Professor of Computing, and an adjunct professor of mathematics at the Georgia Institute of Technology. Randall received her A.B. in mathematics from Harvard and her Ph.D. in computer science from the University of California at Berkeley. Her research in randomized algorithms and stochastic processes bridges computer science, discrete mathematics, and statistical physics.\u0026nbsp;\u0026nbsp;\u0026nbsp; \u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EShe is a fellow of the American Mathematical Society (AMS) and a national associate of the National Academies, as well as a former Sloan fellow and NSF CAREER award recipient. Randall has been the program chair for the SIAM Symposium on Discrete Algorithms in 2011 and the SIAM Conference on Discrete Mathematics in 2016, and was previously director of the Algorithms and Randomness Center at Georgia Tech.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Emergent Phenomena in Algorithms and Applications  "}],"uid":"34541","created_gmt":"2018-11-13 15:15:36","changed_gmt":"2018-11-13 15:15:49","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-11-16T14:00:00-05:00","event_time_end":"2018-11-16T15:00:00-05:00","event_time_end_last":"2018-11-16T15:00:00-05:00","gmt_time_start":"2018-11-16 19:00:00","gmt_time_end":"2018-11-16 20:00:00","gmt_time_end_last":"2018-11-16 20:00:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food"],"hg_media":{"610475":{"id":"610475","type":"image","title":"Dana Randall","body":null,"created":"1535470479","gmt_created":"2018-08-28 15:34:39","changed":"1535470479","gmt_changed":"2018-08-28 15:34:39","alt":"","file":{"fid":"232458","name":"dana.jpg","image_path":"\/sites\/default\/files\/images\/dana_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/dana_0.jpg","mime":"image\/jpeg","size":192289,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/dana_0.jpg?itok=WPOJQ2rz"}}},"media_ids":["610475"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"613312":{"#nid":"613312","#data":{"type":"event","title":"Vivek Ranadiv\u00e9 Talk at Georgia Tech","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EFrom Immigrant to Entrepreneur and NBA Owner\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EVivek Ranadiv\u0026eacute; describes himself as a boy from Bombay \u0026ndash; a boy who made his fortune digitizing Wall Street and providing real-time computing to the world\u0026rsquo;s largest companies. Now, the chairman of venture fund Bow Capital and the owner and chairman of the Sacramento Kings is looking to the next wave of technological change, which he calls Civilization 3.0. Ranadiv\u0026eacute; will speak about the ways software will guide, serve, protect and entertain us, transforming our lives and our economy.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EVivek Ranadiv\u003C\/strong\u003E\u003Cstrong\u003E\u0026eacute;\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EVivek Ranadiv\u0026eacute; is the owner and chairman of the Sacramento Kings. He is an entrepreneur, technology visionary, New York Times best-selling author and philanthropist recognized for his innovative thinking. His company, TIBCO, pioneered the use of real-time event processing software, which became the backbone for most of the world\u0026rsquo;s largest companies and government agencies. His current venture fund, Bow Capital, is a partnership with the University of California to fund technology companies that make the world a better place.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EWatch Live at:\u0026nbsp;\u0026nbsp;\u003C\/em\u003E\u0026nbsp;\u003Ca href=\u0022https:\/\/gatech.us1.list-manage.com\/track\/click?u=de853fab347fb5756a5423781\u0026amp;id=ec717d2d19\u0026amp;e=0d6fe3c622\u0022\u003Ehttps:\/\/www.youtube.com\/user\/gtlibrary\/live\u003C\/a\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPlease \u003Ca href=\u0022https:\/\/gatech.co1.qualtrics.com\/jfe\/form\/SV_3EsNUrv5nQb2CrP\u0022\u003ERSVP\u003C\/a\u003E!\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Vivek Ranadiv\u00e9 Talk at Georgia Tech"}],"uid":"28150","created_gmt":"2018-10-25 19:12:44","changed_gmt":"2018-11-01 14:58:47","author":"Birney Robert","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-11-01T12:00:00-04:00","event_time_end":"2018-11-01T12:50:00-04:00","event_time_end_last":"2018-11-01T12:50:00-04:00","gmt_time_start":"2018-11-01 16:00:00","gmt_time_end":"2018-11-01 16:50:00","gmt_time_end_last":"2018-11-01 16:50:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"613347":{"id":"613347","type":"image","title":"VIVEK RANADIV\u00c9","body":null,"created":"1540573970","gmt_created":"2018-10-26 17:12:50","changed":"1540573970","gmt_changed":"2018-10-26 17:12:50","alt":"","file":{"fid":"233507","name":"VIVEK RANADIVE\u0301.jpg","image_path":"\/sites\/default\/files\/images\/VIVEK%20RANADIVE%CC%81.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/VIVEK%20RANADIVE%CC%81.jpg","mime":"image\/jpeg","size":2174695,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/VIVEK%20RANADIVE%CC%81.jpg?itok=-T-hxyIK"}}},"media_ids":["613347"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"179500","name":"Vivek Ranadiv\u00e9"},{"id":"109","name":"Georgia Tech"},{"id":"654","name":"College of Computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAlicia Richhart\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:alicia@cc.gatech.edu\u0022\u003Ealicia@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"613120":{"#nid":"613120","#data":{"type":"event","title":"SCS Distinguished Lecture: Dina Katabi ","body":[{"value":"\u003Cp\u003ETITLE:\u003Cem\u003E Deep Learning Models for Tracking People through Walls and Sensing their Vital Signs\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETracking people through walls and occlusions is an important task with applications in activity recognition, gaming, home security, and health monitoring. In this talk, I describe a new learning model that infers the human pose through obstacles, i.e. it infers the skeletal representations of the joints on the arms and legs, and the key points on the torso and head. To do so, we leverage the wireless signals in the WiFi frequencies to traverse walls and reflect off the human body. We introduce a deep neural network approach that parses such radio signals to estimate human poses. Since no signal annotations exist for such task, we use state-of-the-art computer vision models to provide cross-modal supervision. Interestingly, while our model is trained using a camera, I show that it can estimate human poses through walls and occlusions. Furthermore, I also explain how to extend the model to infer a person\u0026rsquo;s breathing, heart rate, and sleep stages from the surrounding wireless signals without a sensor on the person\u0026rsquo;s body. Finally, I discuss how our technology can be used for in-home patient monitoring to deliver better care to chronic disease patients.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDina Katabi is the Andrew \u0026amp; Erna Viterbi Professor of Electrical Engineering and Computer Science at MIT. She is also the director of the MIT\u0026rsquo;s Center for Wireless Networks and Mobile Computing, a member of the National Academy of Engineering, and a recipient of the MacArthur Genius Award. Katabi received her Ph.D. and M.S. from MIT in 2003 and 1999, and her B.S. from Damascus University in 1995.\u0026nbsp; Katabi\u0026rsquo;s research focuses on innovative mobile and wireless technologies with application to digital health.\u0026nbsp; Her research has been recognized with ACM Prize in Computing, the ACM Grace Murray Hopper Award, the SIGCOMM test of Time Award, the Faculty Research Innovation Fellowship, a Sloan Fellowship, the NBX Career Development chair, and the NSF CAREER award. Her students received the ACM Best Doctoral Dissertation Award in Computer Science and Engineering twice. Her work was recognized by the IEEE William R. Bennett prize, three ACM SIGCOMM Best Paper awards, an NSDI Best Paper award, and a TR10 award. Several startups have been spun out of Katabi\u0026rsquo;s lab, such as PiCharging and Emerald.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Deep Learning Models for Tracking People through Walls and Sensing their Vital Signs"}],"uid":"34541","created_gmt":"2018-10-22 21:35:58","changed_gmt":"2018-10-23 17:42:25","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-11-08T12:00:00-05:00","event_time_end":"2018-11-08T13:00:00-05:00","event_time_end_last":"2018-11-08T13:00:00-05:00","gmt_time_start":"2018-11-08 17:00:00","gmt_time_end":"2018-11-08 18:00:00","gmt_time_end_last":"2018-11-08 18:00:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food"],"hg_media":{"613121":{"id":"613121","type":"image","title":"Dina Katabi","body":null,"created":"1540244241","gmt_created":"2018-10-22 21:37:21","changed":"1540244241","gmt_changed":"2018-10-22 21:37:21","alt":"Dina Katabi","file":{"fid":"233417","name":"dina_7.jpg","image_path":"\/sites\/default\/files\/images\/dina_7.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/dina_7.jpg","mime":"image\/jpeg","size":1685273,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/dina_7.jpg?itok=rMKCJ-IP"}}},"media_ids":["613121"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"606844":{"#nid":"606844","#data":{"type":"event","title":"CRNCH Summit","body":[{"value":"\u003Cp\u003ECRNCH annouces its second summit, scheduled for November 2, 2018.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbout CRNCH\u003C\/strong\u003E\u003Cbr \/\u003E\r\nThe \u003Ca href=\u0022http:\/\/www.crnch.gatech.edu\u0022\u003ECenter for Research into Novel Computing Hierarchies\u003C\/a\u003E (CRNCH) is an Interdisciplinary Research Center at Georgia Tech. Its researchers are poised on the forefront of the next computing revolution, investigating promising new methods while teaming with industry, academic, and government partners to take advantage of the new knowledge our research is revealing. CRNCH faculty and partners address the post-Moore world by researching quantum computing, neuromorphic computing, design science, approximate computing, and more. The CRNCH \u003Ca href=\u0022http:\/\/crnch.gatech.edu\/rogues-gallery\u0022\u003ERogues Gallery\u003C\/a\u003E focuses on next-generation hardware and uncommon technologies.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CRNCH hosts its second summit."}],"uid":"34541","created_gmt":"2018-06-07 20:41:25","changed_gmt":"2018-10-23 17:28:37","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-11-02T09:30:00-04:00","event_time_end":"2018-11-02T17:00:00-04:00","event_time_end_last":"2018-11-02T17:00:00-04:00","gmt_time_start":"2018-11-02 13:30:00","gmt_time_end":"2018-11-02 21:00:00","gmt_time_end_last":"2018-11-02 21:00:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"},{"id":"545781","name":"Institute for Data Engineering and Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1789","name":"Conference\/Symposium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"611715":{"#nid":"611715","#data":{"type":"event","title":"SCS Distinguished Lecture: Tim Roughgarden","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EHow Computer Science Informs Modern Auction Design\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOver the last 20 years, computer science has relied on concepts borrowed from game theory and economics to reason about applications ranging from internet routing to real-time auctions for online advertising. More recently, ideas have increasingly flowed in the opposite direction, with concepts and techniques from computer science beginning to influence economic theory and practice.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nIn this lecture, Tim Roughgarden will illustrate this point with a detailed case study of the 2016-2017 Federal Communications Commission incentive auction for repurposing wireless spectrum. Computer science techniques, ranging from algorithms for NP-hard problems to nondeterministic communication complexity, have played a critical role both in the design of the reverse auction (with the government procuring existing licenses from television broadcasters) and in the analysis of the forward auction (when the procured licenses sell to the highest bidder).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERoughgarden is a professor of computer science and, by courtesy, management science and engineering at Stanford University. He joined the Stanford faculty in 2004, following a Ph.D. at Cornell University and a postdoc at the University of California, Berkeley. His research interests include the many connections between computer science and economics as well as the design, analysis, applications and limitations of algorithms. He has received the ACM Grace Murray Hopper Award, the Presidential Early Career Award for Scientists and Engineers (PECASE), the Kalai Prize in Computer Science and Game Theory, the Social Choice and Welfare Prize, the Mathematical Programming Society\u0026rsquo;s Tucker Prize, and the EATCS-SIGACT G\u0026ouml;del Prize. His books include Twenty Lectures on Algorithmic Game Theory (2016) and Algorithms Illuminated (2017).\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"How Computer Science Informs Modern Auction Design"}],"uid":"34541","created_gmt":"2018-09-20 14:02:32","changed_gmt":"2018-09-20 14:07:26","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-10-05T15:00:00-04:00","event_time_end":"2018-10-05T16:00:00-04:00","event_time_end_last":"2018-10-05T16:00:00-04:00","gmt_time_start":"2018-10-05 19:00:00","gmt_time_end":"2018-10-05 20:00:00","gmt_time_end_last":"2018-10-05 20:00:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food"],"hg_media":{"611716":{"id":"611716","type":"image","title":"Tim Roughgarden","body":null,"created":"1537452424","gmt_created":"2018-09-20 14:07:04","changed":"1537452424","gmt_changed":"2018-09-20 14:07:04","alt":"Tim Roughgarden","file":{"fid":"232872","name":"Badlands.jpeg","image_path":"\/sites\/default\/files\/images\/Badlands.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Badlands.jpeg","mime":"image\/jpeg","size":245526,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Badlands.jpeg?itok=BdnVCkzb"}}},"media_ids":["611716"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"611341":{"#nid":"611341","#data":{"type":"event","title":"SCS Seminar: Spyros Blanas","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EScaling Database Systems to High-performance Computers\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EProcessing massive datasets quickly requires warehouse-scale computers. Furthermore, many massive datasets are stored in formats like HDF5 and NetCDF that cannot be directly queried using SQL. In this talk, we will present ArrayBridge, a common interoperability layer for array file formats. ArrayBridge allows scientists to use SciDB, TensorFlow, and HDF5-based code in the same file-centric analysis pipeline without converting between file formats. Under the hood, ArrayBridge manages I\/O to leverage the massive concurrency of warehouse-scale parallel file systems while keeping backwards compatibility with applications that use the unmodified HDF5 API. Once the data has been loaded in memory, the bottleneck in many array-centric queries becomes the speed of data repartitioning between different nodes. We will present an RDMA-aware data shuffling operator that directly converses with the network adapter in InfiniBand verbs and can repartition data up to 4X faster than MPI. We conclude by highlighting additional research challenges that need to be overcome to scale database systems to massive computers.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESpyros Blanas is an assistant professor in the Department of Computer Science and Engineering at the Ohio State University. His research interest is high-performance database systems, and his current goal is to build a database system for high-end computing facilities. He has received the IEEE TCDE Rising Star Award and a Google Research Faculty award. He completed his Ph.D. at the University of Wisconsin\u0026ndash;Madison, and part of his Ph.D. dissertation was commercialized in Microsoft\u0026rsquo;s flagship data management product, SQL Server, as the Hekaton in-memory transaction processing engine.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Scaling Database Systems to High-performance Computers"}],"uid":"34541","created_gmt":"2018-09-11 21:10:27","changed_gmt":"2018-09-11 21:11:27","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-09-21T15:00:00-04:00","event_time_end":"2018-09-21T16:00:00-04:00","event_time_end_last":"2018-09-21T16:00:00-04:00","gmt_time_start":"2018-09-21 19:00:00","gmt_time_end":"2018-09-21 20:00:00","gmt_time_end_last":"2018-09-21 20:00:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food"],"hg_media":{"611342":{"id":"611342","type":"image","title":"Spyros Blanas","body":null,"created":"1536700271","gmt_created":"2018-09-11 21:11:11","changed":"1536700271","gmt_changed":"2018-09-11 21:11:11","alt":"Spyros ","file":{"fid":"232738","name":"blanas-hires.jpg","image_path":"\/sites\/default\/files\/images\/blanas-hires.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/blanas-hires.jpg","mime":"image\/jpeg","size":2183241,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/blanas-hires.jpg?itok=RA4IDXre"}}},"media_ids":["611342"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"610244":{"#nid":"610244","#data":{"type":"event","title":"SCS Seminar: Swarat Chaudhuri","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003E\u0026nbsp;Learning as Coding: Program Synthesis for Reliable and Interpretable\u003Cbr \/\u003E\r\nArtificial Intelligence\u003C\/em\u003E\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nProgram synthesis is the problem of automatically discovering programs that satisfy a specification. While the traditional \u0026ldquo;home\u0026rdquo; of the problem is in the Formal Methods community, recent research has discovered certain exciting connections between program synthesis and statistical machine learning. In this talk, I will describe some of these connections, developed in our recent work, and argue that progress here can bring us closer to the goal of reliable and interpretable artificial intelligence. The key themes in this work are to formulate statistical models as programs in a high-level language and learning as automatic program discovery. The fundamental technical challenge with program synthesis, however, is that it is a hard combinatorial problem. I will describe a few recent efforts that approach this challenge using a mix of ideas from formal methods and deep learning.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESwarat Chaudhuri is an associate professor of Computer Science at\u0026nbsp; Rice University. His work has two thrusts: algorithms, based on automated deduction, search, optimization, and statistical machine learning,\u0026nbsp; for program analysis and synthesis; and the use of these algorithms in practical systems that make programs more reliable, more performant, and easier to write.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESwarat received a bachelor\u0026rsquo;s degree in computer science from the Indian Institute of Technology, Kharagpur, in 2001 and a doctoral degree in computer science from the University of Pennsylvania in 2007. From 2008-2011, he was an assistant professor at Pennsylvania State University. He is a recipient of the National Science Foundation CAREER award, the ACM SIGPLAN John Reynolds Doctoral Dissertation Award, the Morris and Dorothy Rubinoff Dissertation Award, a Google Research Award, and a SIGSOFT Best Paper award. He has served on program committees of many conferences in Formal Methods and Programming Languages, and chaired the 2016 Conference on Computer-Aided Verification (CAV).\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EJoin us in the second floor atrium for a TGIF Reception at 3 p.m.!\u003C\/strong\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":" Learning as Coding: Program Synthesis for Reliable and Interpretable Artificial Intelligence  "}],"uid":"34541","created_gmt":"2018-08-23 14:54:08","changed_gmt":"2018-08-23 14:58:03","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-09-07T15:00:00-04:00","event_time_end":"2018-09-07T16:00:00-04:00","event_time_end_last":"2018-09-07T16:00:00-04:00","gmt_time_start":"2018-09-07 19:00:00","gmt_time_end":"2018-09-07 20:00:00","gmt_time_end_last":"2018-09-07 20:00:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food"],"hg_media":{"610245":{"id":"610245","type":"image","title":"Swarat Chaudhuri","body":null,"created":"1535036141","gmt_created":"2018-08-23 14:55:41","changed":"1535036141","gmt_changed":"2018-08-23 14:55:41","alt":"Swarat Chaudhuri","file":{"fid":"232372","name":"prof_swarat_2.jpg","image_path":"\/sites\/default\/files\/images\/prof_swarat_2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/prof_swarat_2.jpg","mime":"image\/jpeg","size":424116,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/prof_swarat_2.jpg?itok=EYgwgl6e"}}},"media_ids":["610245"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"609933":{"#nid":"609933","#data":{"type":"event","title":"Seminar: Prateek Jain","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EHard Thresholding\u0026ndash;based Methods for Robust Learning\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELearning in presence of outliers is a critical problem that can heavily affect performance of the learning algorithms in practice. In this talk, we present a general approach for learning with outliers, where we iteratively estimate the model parameters with estimated inliers and threshold out point which seems unlikely to be generated from the model to obtain more refined set of inliers. We instantiate this general approach for the outlier efficient PCA problem and demonstrate that it leads to nearly optimal solution in O(PCA) computation time.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPrateek Jain is a member of the Machine Learning and Optimization and the Algorithms and Data Sciences Group at Microsoft Research, Bangalore, India. His research interests are in machine learning, non-convex optimization, high-dimensional statistics, and optimization algorithms in general. He also works on applications of machine learning to privacy, computer vision, text mining, and natural language processing.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Hard Thresholding\u2013based Methods for Robust Learning"}],"uid":"34541","created_gmt":"2018-08-17 17:42:07","changed_gmt":"2018-08-17 17:43:00","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-08-23T15:00:00-04:00","event_time_end":"2018-08-23T16:00:00-04:00","event_time_end_last":"2018-08-23T16:00:00-04:00","gmt_time_start":"2018-08-23 19:00:00","gmt_time_end":"2018-08-23 20:00:00","gmt_time_end_last":"2018-08-23 20:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"609934":{"id":"609934","type":"image","title":"Prateek Jain","body":null,"created":"1534527757","gmt_created":"2018-08-17 17:42:37","changed":"1534527757","gmt_changed":"2018-08-17 17:42:37","alt":"Prateek Jain","file":{"fid":"232285","name":"newpic.jpg","image_path":"\/sites\/default\/files\/images\/newpic.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/newpic.jpg","mime":"image\/jpeg","size":745172,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/newpic.jpg?itok=HAbYpUp5"}}},"media_ids":["609934"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[{"id":"9167","name":"machine learning"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"609583":{"#nid":"609583","#data":{"type":"event","title":"UROC Job Fair","body":[{"value":"\u003Cp\u003EWhether you plan to go on to graduate school or a job in industry, doing undergraduate research will bolster your\u0026nbsp;r\u0026eacute;sum\u0026eacute;\u0026nbsp;and broaden your post-grad opportunities.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cdiv\u003E\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"UROC is a job fair for undergraduate research."}],"uid":"34541","created_gmt":"2018-08-10 15:20:53","changed_gmt":"2018-08-10 15:20:53","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-08-20T16:00:00-04:00","event_time_end":"2018-08-20T18:00:00-04:00","event_time_end_last":"2018-08-20T18:00:00-04:00","gmt_time_start":"2018-08-20 20:00:00","gmt_time_end":"2018-08-20 22:00:00","gmt_time_end_last":"2018-08-20 22:00:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:uroc%40cc.gatech.edu\u0022\u003Euroc@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"591888":{"#nid":"591888","#data":{"type":"event","title":"Resume Cram","body":[{"value":"\u003Cp\u003EThis event will provide a platform to gather feedback on your resume from top recruiters and companies who will attend the career fair.\u0026nbsp; Hear directly from representatives on how to make your resume standout and build a personal brand that will resonate with employers. No appointment is necessary.\u0026nbsp; Just bring a few hard copies of your resume for review.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EStop by Klaus Atrium to have industry professionals review and provide feedback before the fair Tuesday!\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Forgot to Update Your Resume? No Worries!"}],"uid":"34473","created_gmt":"2017-05-18 16:12:31","changed_gmt":"2018-07-12 01:40:01","author":"Alicia Palmquist","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-09-24T12:00:00-04:00","event_time_end":"2018-09-24T16:00:00-04:00","event_time_end_last":"2018-09-24T16:00:00-04:00","gmt_time_start":"2018-09-24 16:00:00","gmt_time_end":"2018-09-24 20:00:00","gmt_time_end_last":"2018-09-24 20:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"related_links":[{"url":"http:\/\/www.cc.gatech.edu\/content\/college-computing-career-fair-student-information","title":"College of Computing Career Fair "}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"144291","name":"Office of Outreach Enrollment and Community"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EContact \u003Ca href=\u0022mailto:apalmquist3@cc.gatech.edu\u0022\u003EAlicia Palmquist\u003C\/a\u003E, Event Coordinator for Career Services for more information\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"605650":{"#nid":"605650","#data":{"type":"event","title":"SCS Seminar: Xuehai Qian","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EEfficient Graph Processing with Cross-Stack Optimization\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGraph analytics has emerged as an important way to understand the relationships between the heterogeneous types of data, allowing data analysts to draw valuable insights. However, graph processing poses key challenges for both architecture and runtime system. In this talk, I will demonstrate efficient graph processing at different scales with cross-stack optimization. First, I will present a distributed graph processing system using 3D graph partition to reduce communication. Next, I will present a out-of-core graph processing system using graph abstraction to accelerate convergence. Finally, I will discuss a graph processing accelerator based on the emerging ReRAM technology.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EXuehai Qian is an assistant professor at the Ming Hsieh Department of Electrical Engineering and the Department of Computer Science at the University of Southern California. He received the Ph.D. from the Computer Science Department at University of Illinois at Urbana-Champaign working on parallel computer architecture. Prior to joining USC, he was a postdoctoral researcher at UC Berkeley. His recent research interests include system and architecture for graph processing, machine learning acceleration, NVM, and cloud system. He is the recipient of NSF CRII award and CAREER award.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Efficient Graph Processing with Cross-Stack Optimization"}],"uid":"34541","created_gmt":"2018-04-27 19:26:29","changed_gmt":"2018-04-27 19:28:56","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-05-03T12:00:00-04:00","event_time_end":"2018-05-03T13:00:00-04:00","event_time_end_last":"2018-05-03T13:00:00-04:00","gmt_time_start":"2018-05-03 16:00:00","gmt_time_end":"2018-05-03 17:00:00","gmt_time_end_last":"2018-05-03 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"605651":{"id":"605651","type":"image","title":"Xuehai Qian","body":null,"created":"1524857270","gmt_created":"2018-04-27 19:27:50","changed":"1524857270","gmt_changed":"2018-04-27 19:27:50","alt":"Xuehai Qian","file":{"fid":"230942","name":"Unknown-3.jpeg","image_path":"\/sites\/default\/files\/images\/Unknown-3.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Unknown-3.jpeg","mime":"image\/jpeg","size":153116,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Unknown-3.jpeg?itok=3rVUyoaO"}}},"media_ids":["605651"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"},{"id":"1791","name":"Student sponsored"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"605533":{"#nid":"605533","#data":{"type":"event","title":"SCS Recruiting Seminar: Joe Izraelevitz","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EPractical and Formal Infrastructure for Nonvolatile Memory\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFor decades, programmers have interacted with persistent storage via a well-defined block-based API, namely, that of the file system. However, it is expected that byte-addressable nonvolatile memory (NVM) will soon be commonplace, potentially transforming main memory into a storage device. This transition forces fundamental changes in how to reason about and manage persistent storage. The possibility that programmers may wish for data in main memory to survive program runs and even system crashes suggests the need to reassess design decisions at all levels of the system stack.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis talk will discuss how system architecture and formal foundations are changing to meet the demands of NVM at all scales. At a formal level, we explore what it means for a program to be \u0026ldquo;correct\u0026rdquo; on a machine with NVM.\u0026nbsp; At the hardware level, extensions of memory consistency control the ordering and timing of writes into persistence.\u0026nbsp; At the library level, data structures are transformed to be consistent not only in the face of concurrent access, but also in the wake of crashes. Finally, at the compiler and language level, extensions to transactional memory give programmers the ability to ensure that complex changes to persistent state are not only isolated and consistent, but also failure atomic and durable.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Joseph (Joe) Izraelevitz is a postdoctoral researcher at IMDEA Software Institute in Madrid, Spain. He completed his doctoral degree in March 2018 under Professor Michael L. Scott at the University of Rochester in Rochester, New York.\u0026nbsp; With a background in shared memory programming, his doctoral research explored the impact of new nonvolatile memory technologies on both practical systems infrastructure and formal program reasoning. His research interests include distributed algorithms, shared memory synchronization, and parallelism in general.\u0026nbsp; Prior to his graduate studies, Joe served as an active duty U.S. Army officer for three years, including a year-long deployment to Afghanistan as a staff officer.\u0026nbsp; He received his undergraduate degree from Washington University in St. Louis in 2009.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Title: Practical and Formal Infrastructure for Nonvolatile Memory"}],"uid":"34541","created_gmt":"2018-04-25 17:32:56","changed_gmt":"2018-04-25 17:48:55","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-05-01T12:00:00-04:00","event_time_end":"2018-05-01T13:00:00-04:00","event_time_end_last":"2018-05-01T13:00:00-04:00","gmt_time_start":"2018-05-01 16:00:00","gmt_time_end":"2018-05-01 17:00:00","gmt_time_end_last":"2018-05-01 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"605535":{"id":"605535","type":"image","title":"Joe Izraelevitz","body":null,"created":"1524677858","gmt_created":"2018-04-25 17:37:38","changed":"1524677858","gmt_changed":"2018-04-25 17:37:38","alt":"Joe Izraelevitz","file":{"fid":"230886","name":"Screen Shot 2018-04-25 at 1.37.16 PM.png","image_path":"\/sites\/default\/files\/images\/Screen%20Shot%202018-04-25%20at%201.37.16%20PM.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Screen%20Shot%202018-04-25%20at%201.37.16%20PM.png","mime":"image\/png","size":2112790,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Screen%20Shot%202018-04-25%20at%201.37.16%20PM.png?itok=d51gEEtk"}}},"media_ids":["605535"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"605375":{"#nid":"605375","#data":{"type":"event","title":"SCS Recruiting Seminar:  Nika Haghtalab","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EMachine Learning by the People, for the People\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETypical analysis of learning algorithms considers their outcome in isolation from the effects that they may have on the process that generates the data or the entity that is interested in learning. However, current technological trends mean that people and organizations increasingly interact with learning systems, making it necessary to consider these effects, which fundamentally change the nature of learning and the challenges involved. In this talk, I will explore three lines of research from my work on the theoretical aspects of machine learning and algorithmic economics that account for these interactions: learning optimal policies in game-theoretic settings, without an accurate behavioral model, by interacting with people; managing people\u0026rsquo;s expertise and resources in data-collection and machine learning; and collaborative learning in a setting where multiple learners interact with each other to discover similar underlying concepts.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;Nika Haghtalab is a Ph.D. candidate at the Computer Science Department of Carnegie Mellon University, co-advised by Avrim Blum and Ariel Procaccia. Her research interests include learning theory and algorithmic economics. She is a recipient of the IBM and Microsoft Research Ph.D. fellowships and the Siebel Scholarship.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Machine Learning by the People, for the People"}],"uid":"34541","created_gmt":"2018-04-20 18:26:01","changed_gmt":"2018-04-25 15:36:45","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-04-26T11:30:00-04:00","event_time_end":"2018-04-27T00:30:00-04:00","event_time_end_last":"2018-04-27T00:30:00-04:00","gmt_time_start":"2018-04-26 15:30:00","gmt_time_end":"2018-04-27 04:30:00","gmt_time_end_last":"2018-04-27 04:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"605376":{"id":"605376","type":"image","title":"Nika Haghtalab","body":null,"created":"1524248789","gmt_created":"2018-04-20 18:26:29","changed":"1524248789","gmt_changed":"2018-04-20 18:26:29","alt":"Nika Haghtalab","file":{"fid":"230819","name":"HAGHTALAB-Nika.jpg","image_path":"\/sites\/default\/files\/images\/HAGHTALAB-Nika.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/HAGHTALAB-Nika.jpg","mime":"image\/jpeg","size":349800,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/HAGHTALAB-Nika.jpg?itok=3b0RENdZ"}}},"media_ids":["605376"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"605379":{"#nid":"605379","#data":{"type":"event","title":"SCS Recruiting Seminar: Qirun Zhang","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EPractical Program Analysis: Principles and Techniques\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESoftware reliability is critical and challenging, for which program analysis offers a principled methodology. However, developing practical program analyses that are scalable and precise is difficult, both conceptually and engineering-wise. This talk highlights two linesof my research that significantly advance the state-of-the-art of program analysis.\u0026nbsp; First, I will present a new reachability-based analysis framework and asymptotically faster algorithms that drastically outperform existing frameworks\/algorithms in both speed and precision. The popular LLVM compiler infrastructur e has adopted the techniques for fast, precise alias analysis. Second, I will describe a principled, scalable program enumeration framework for rigorous compiler testing. This work has led to 300+ confirmed\/fixed bugs in important production\/research compilers (such as GCC\/LLVM\/CompCert, Scala, and Rust) and enjoyed wide publicacknowledgments from the compiler developer community. I will conclude the talk by discussing my research vision and plan for building reliable and performant software.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EQirun Zhang is a postdoctoral fellow at the University of California, Davis. Before, he was a postdoctoral fellow at the Hong Kong University of Science and Technology. He received his Ph.D. in computer science and engineering from The Chinese University of Hong Kong and his B.E. in computer science from Zhejiang\u0026nbsp; University. His main area of research is programming languages, focusing on program analysis and testing. His work has appeared in top venues (e.g., PLDI, POPL, OOPSLA, and ICSE), and led to new analysis foundations and algorithms and high-impact practical results.\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Practical Program Analysis: Principles and Techniques"}],"uid":"34541","created_gmt":"2018-04-20 18:34:30","changed_gmt":"2018-04-20 18:35:26","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-04-24T11:50:00-04:00","event_time_end":"2018-04-24T12:50:00-04:00","event_time_end_last":"2018-04-24T12:50:00-04:00","gmt_time_start":"2018-04-24 15:50:00","gmt_time_end":"2018-04-24 16:50:00","gmt_time_end_last":"2018-04-24 16:50:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"605381":{"id":"605381","type":"image","title":"Qirun Zhang","body":null,"created":"1524249301","gmt_created":"2018-04-20 18:35:01","changed":"1524249312","gmt_changed":"2018-04-20 18:35:12","alt":"Qirun Zhang","file":{"fid":"230822","name":"qirun.jpg","image_path":"\/sites\/default\/files\/images\/qirun.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/qirun.jpg","mime":"image\/jpeg","size":858086,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/qirun.jpg?itok=ylPLipgk"}}},"media_ids":["605381"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"604987":{"#nid":"604987","#data":{"type":"event","title":"SCS Recruiting Seminar: Ravi Netravali","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EImproving Web Applications with Fine-grained Data Flows\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWeb applications are integral to today\u0026rsquo;s society, hosting a variety of services ranging from banking and e-commerce to mapping and social media. To support these rich services, web applications have evolved into complex distributed systems, making critical tasks such as performance optimization and debugging difficult.\u003Cbr \/\u003E\r\n\u0026nbsp;\u003Cbr \/\u003E\r\nIn this talk, I will describe how we can address this growing complexity by efficiently identifying and analyzing the fine-grained, distributed data flows in web applications. Tracking data flows at the granularity of individual pieces of program state, like JavaScript variables on the client-side and key\/value pairs in storage systems on the server-side, provides invaluable insights into the low-level behavior of complex web services. This information enables a variety of systems with new, more powerful performance optimizations and debugging techniques. I will describe two such systems that we have built. The first is Polaris, a web page load optimizer that identifies data dependencies between web objects to improve browser request scheduling and reduce page load times by 34 -59 percent. I will then discuss Vesper, the first system to accurately measure how quickly web pages become interactive for users. Vesper uses fine-grained data flows to automatically identify a page\u0026rsquo;s interactive state and reduce page time-to-interactivity by 32 percent. I will conclude by discussing some future research challenges involving large-scale web services.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERavi Netravali is a Ph.D. student at MIT, advised by Professors Hari Balakrishnan and James Mickens. His research interests are in computer systems and networks, with a recent focus on building practical systems to improve the performance and debugging of large-scale, distributed web applications. He is a recipient of the 2017 Qualcomm Innovation Fellowship\u0026nbsp;and shared the Internet Research Task Force\u0026rsquo;s Applied Networking Research Prize in 2018. Netravali graduated from Columbia University in 2012 with a B.S. in electrical engineering.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Improving Web Applications with Fine-grained Data Flows"}],"uid":"34541","created_gmt":"2018-04-11 21:16:13","changed_gmt":"2018-04-16 17:56:49","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-04-19T12:00:00-04:00","event_time_end":"2018-04-19T13:00:00-04:00","event_time_end_last":"2018-04-19T13:00:00-04:00","gmt_time_start":"2018-04-19 16:00:00","gmt_time_end":"2018-04-19 17:00:00","gmt_time_end_last":"2018-04-19 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"604988":{"id":"604988","type":"image","title":"Ravi Netravali","body":null,"created":"1523481400","gmt_created":"2018-04-11 21:16:40","changed":"1523481400","gmt_changed":"2018-04-11 21:16:40","alt":"Ravi","file":{"fid":"230659","name":"ravi_netravali.jpg","image_path":"\/sites\/default\/files\/images\/ravi_netravali.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/ravi_netravali.jpg","mime":"image\/jpeg","size":650019,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/ravi_netravali.jpg?itok=r4--f9-C"}}},"media_ids":["604988"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"604863":{"#nid":"604863","#data":{"type":"event","title":"SCS Recruiting Seminar: Jose Faleiro","body":[{"value":"\u003Cp\u003ETITLE:\u0026nbsp; \u003Cem\u003EHigh Performance Serializable Transactions via Deterministic Execution\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003Cbr \/\u003E\r\nConcurrency, the processing of multiple requests simultaneously, is one of the most challenging problems large-scale server applications face in practice. Accordingly, database systems research has long made the case for automatically handling concurrency in the database by guaranteeing serializability. Serializability shields applications from reasoning about concurrency and allows developers to focus entirely on implementing application logic. Unfortunately, in the 40-plus years since its inception, serializability has not seen wide adoption in practice. This is because weaker guarantees, which expose applications to concurrency and the inevitable bugs that arise, perform significantly better.\u003Cbr \/\u003E\r\n\u0026nbsp;\u003Cbr \/\u003E\r\nIn this talk, I will discuss my research on addressing the performance limitations of serializability via deterministic transaction execution. Deterministic transaction execution exploits the fact that a large class of modern server applications do not require the full generality of conventional database transactions. By tailoring transaction execution mechanisms for this class of applications, my research shows that it is possible to achieve serializability with minimal performance overhead. I will first describe a serializable multi-versioning mechanism that decouples conflicting reads and writes and subsequently outperforms a state-of-the-art implementation of the weaker guarantee of snapshot isolation by over 3x. Next, I will describe piecewise visibility, a concurrency control mechanism that isolates requests at a finer granularity than entire transactions, which consequently permits aggressive serializable transaction interleavings and outperforms the weaker guarantee of read committed by over 3x. Finally, I will discuss ongoing work that applies deterministic transaction execution principles to address replication lag in Facebook\u0026rsquo;s production MySQL infrastructure.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJose Faleiro is a Ph.D. candidate in computer science at Yale University. His research interests are in data management systems, multi-core systems, and distributed systems. His thesis research investigates the use of deterministic execution to enable scalable and efficient transaction processing on main-memory multi-core database systems. In addition to his academic research at Yale, Jose has worked on large-scale real world systems, including Microsoft\u0026rsquo;s Orleans cloud programming framework and Facebook\u0026rsquo;s production MySQL infrastructure. He is the recipient of the Alan J. Perlis Fellowship at Yale and a Microsoft Research Tech Transfer Award. He has an undergraduate degree in computer science from the Birla Institute of Technology and Science (BITS), Pilani, India.\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":" High Performance Serializable Transactions via Deterministic Execution"}],"uid":"34541","created_gmt":"2018-04-09 16:48:39","changed_gmt":"2018-04-09 16:50:17","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-04-12T12:00:00-04:00","event_time_end":"2018-04-12T13:00:00-04:00","event_time_end_last":"2018-04-12T13:00:00-04:00","gmt_time_start":"2018-04-12 16:00:00","gmt_time_end":"2018-04-12 17:00:00","gmt_time_end_last":"2018-04-12 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"604864":{"id":"604864","type":"image","title":"Jose Faleiro","body":null,"created":"1523292599","gmt_created":"2018-04-09 16:49:59","changed":"1523292599","gmt_changed":"2018-04-09 16:49:59","alt":"Jose","file":{"fid":"230607","name":"pic-hi-res.JPG","image_path":"\/sites\/default\/files\/images\/pic-hi-res.JPG","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/pic-hi-res.JPG","mime":"image\/jpeg","size":1220983,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/pic-hi-res.JPG?itok=Bd7E1soI"}}},"media_ids":["604864"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"603731":{"#nid":"603731","#data":{"type":"event","title":"Scott Baden","body":[{"value":"\u003Cp\u003ETITLE: How to Reduce and Tolerate Communication Costs\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI will describe recent work in two projects aimed at reducing the impact of steadily increasing communication costs on scalable systems. The first is UPC++,\u0026nbsp; a C++ PGAS library that leverages the GASNet-EX communication library to deliver close to the metal communication performance. The second is MATE, a domain specific translator that restructures MPI applications to\u0026nbsp; tolerate communication by hiding it behind available communication. The benefit of UPC++ comes from its support for one-sided communication and remote procedure call. The performance of MATE\u0026rsquo;s translated code is competitive with that of manual restructuring.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Baden received his M.S. and Ph.D. in computer science from UC Berkeley in 1982 and 1987. He is also an adjunct professor in the Department of Computer Science and Engineering at UCSD, where he was a faculty member for 27 years. His research interests are in high performance and scientific computation: domain specific translation, abstraction\u0026nbsp; mechanisms, run times, and irregular problems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPlease join us for a reception after.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"How to Reduce and Tolerate Communication Costs"}],"uid":"34541","created_gmt":"2018-03-13 18:39:56","changed_gmt":"2018-04-05 17:46:03","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-04-10T15:00:00-04:00","event_time_end":"2018-04-10T16:00:00-04:00","event_time_end_last":"2018-04-10T16:00:00-04:00","gmt_time_start":"2018-04-10 19:00:00","gmt_time_end":"2018-04-10 20:00:00","gmt_time_end_last":"2018-04-10 20:00:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food"],"hg_media":{"603732":{"id":"603732","type":"image","title":"Scott Baden","body":null,"created":"1520966431","gmt_created":"2018-03-13 18:40:31","changed":"1520966431","gmt_changed":"2018-03-13 18:40:31","alt":"Scott Baden","file":{"fid":"230104","name":"P1020438-sbb-2013-09-26.jpg","image_path":"\/sites\/default\/files\/images\/P1020438-sbb-2013-09-26.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/P1020438-sbb-2013-09-26.jpg","mime":"image\/jpeg","size":2524772,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/P1020438-sbb-2013-09-26.jpg?itok=Uof-geat"}}},"media_ids":["603732"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[{"id":"3196","name":"Talk"},{"id":"177379","name":"programming languages"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"593915":{"#nid":"593915","#data":{"type":"event","title":"ADP Day on Campus","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EBring your resume and come chat with recruiters from ADP\u0026nbsp;in the commons anytime between 11am and 4pm. Can\u0026#39;t make it in the morning or really want to be considered for their team? Join them in Klaus 2456 from 6:30-8pm to hear about their innovative technology! Free food will be provided if you come early!\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E...........................................................................\u003C\/p\u003E\r\n\r\n\u003Ch2\u003E\u003Cstrong\u003EChallenge everything you know.\u003C\/strong\u003E\u003C\/h2\u003E\r\n\r\n\u003Cp\u003EWe make the world\u0026rsquo;s busiest professionals more productive and happier at work. That\u0026rsquo;s our sole purpose at ADP. Because everything we do is about people. Starting with our own.\u003C\/p\u003E\r\n\r\n\u003Ch2\u003E\u003Cstrong\u003E#reimaginework\u003C\/strong\u003E\u003C\/h2\u003E\r\n\r\n\u003Cp\u003EWe welcome new ideas. From big-thinking people who want \u0026ndash; and expect \u0026ndash; more out of their careers. Like a job that you can feel good about. And a home life that is in balance with your needs.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EDay in Lobby- 11am to 4pm in the College of Computing Building Commons Area\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETech Talk- 6:30pm in Klaus 2456\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"ADP will host a day in the CCB commons and evening Tech Talk"}],"uid":"34473","created_gmt":"2017-08-01 18:33:44","changed_gmt":"2018-04-05 00:12:14","author":"Alicia Palmquist","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2017-09-12T12:00:00-04:00","event_time_end":"2017-09-12T21:00:00-04:00","event_time_end_last":"2017-09-12T21:00:00-04:00","gmt_time_start":"2017-09-12 16:00:00","gmt_time_end":"2017-09-13 01:00:00","gmt_time_end_last":"2017-09-13 01:00:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food","freebies"],"related_links":[{"url":"https:\/\/jobs.adp.com\/locations\/canada\/","title":"ADP Careers"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[{"id":"144291","name":"Office of Outreach Enrollment and Community"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"10377","name":"Career\/Professional development"}],"invited_audience":[{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EContact \u003Ca href=\u0022mailto:apalmquist3@cc.gatech.edu\u0022\u003EAlicia Palmquist\u003C\/a\u003E, Event Coordinator for Career Services for more information\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"604580":{"#nid":"604580","#data":{"type":"event","title":"SCS Recruiting Seminar: Qi Alfred Chen","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003ESecuring Smart, Connected Systems through Systematic Problem Analysis and Mitigation\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe world is increasingly connected through a series of smart, connected systems such as smartphone systems, smart home systems, and the emerging smart transportation and autonomous vehicle systems. While leading to improved services, such transformation also introduces new security challenges. To address these challenges, in contrast to existing defense mechanisms that are mostly ad hoc and reactive, my research aims at developing proactive defense approaches that can systematically discover, analyze, and mitigate new security problems in smart, connected systems.\u003Cbr \/\u003E\r\n\u0026nbsp;\u003Cbr \/\u003E\r\nIn this talk, I will focus on my research efforts in securing two most basic components in any smart, connected system: network stack and smart control. For network stack security, I will describe our discovery of a new attack vector (US-CERT alert TA16-144A) that was unexpectedly brought by the recent expansion in DNS, and our subsequent systematic analysis at both network and software levels for its defense. For smart control security, I will describe my most recent work that performed the first security analysis of the next-generation Connected Vehicle (CV) based traffic signal control, which discovers new vulnerabilities at the traffic signal control algorithm level. I will conclude by discussing my future research plans in securing existing and future smart, connected systems, especially those in critical domains such as transportation and automobile.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EQi Alfred Chen is a Ph.D. candidate in the EECS department at University of Michigan advised by Professor Z. Morley Mao. His research interest is network and systems security, and the major theme of his research is to address security challenges through systematic problem analysis and mitigation. His research has discovered and mitigated security problems in various systems such as next-generation transportation systems, smartphone OSes, network protocols, DNS, GUI systems, and access control systems. His work has impact in both academia and industry with over 10 top-tier conference papers, news coverage and interviews, vulnerability disclosures, and industry discussions and responses. His current research focuses on smart systems and IoT, e.g., smart home, smart transportation, and autonomous vehicle systems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Securing Smart, Connected Systems through Systematic Problem Analysis and Mitigation"}],"uid":"34541","created_gmt":"2018-04-02 16:41:21","changed_gmt":"2018-04-02 16:51:02","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-04-10T12:00:00-04:00","event_time_end":"2018-04-10T13:00:00-04:00","event_time_end_last":"2018-04-10T13:00:00-04:00","gmt_time_start":"2018-04-10 16:00:00","gmt_time_end":"2018-04-10 17:00:00","gmt_time_end_last":"2018-04-10 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"604581":{"id":"604581","type":"image","title":"Qi Alfred Chen","body":null,"created":"1522687830","gmt_created":"2018-04-02 16:50:30","changed":"1522687830","gmt_changed":"2018-04-02 16:50:30","alt":"Qi Alfred Chen","file":{"fid":"230484","name":"alfred_portrait[1].jpg","image_path":"\/sites\/default\/files\/images\/alfred_portrait%5B1%5D.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/alfred_portrait%5B1%5D.jpg","mime":"image\/jpeg","size":407089,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/alfred_portrait%5B1%5D.jpg?itok=3UGNiKJS"}}},"media_ids":["604581"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"604379":{"#nid":"604379","#data":{"type":"event","title":"SCS Recruiting Seminar: Pedro Fonseca","body":[{"value":"\u003Cp\u003ETITLE: \u003Cem\u003EBuilding Reliable Software Systems\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EApplications critically depend on the reliability of underlying software layers, such as distributed systems, operating systems, and hypervisors. Building reliable systems is a challenging task in this context, not only because of their large scale but also because their development often requires correctly reasoning about concurrency, complex hardware semantics, and non-intuitive fault models. Combined, these hurdles make the already challenging task of developing software significantly more difficult.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this talk, I will discuss systematic and principled approaches to help developers build correct systems. First, I will present a technique for testing operating system kernels that systematically explores their thread interleaving space, thereby effectively exposing hard-to-find kernel concurrency bugs. Next, I will introduce a systematic testing technique for modern, hardware-accelerated hypervisors that leverages symbolic execution to automatically construct effective hypervisor test cases. Finally, I will show how to complement formal verification techniques with testing approaches to bridge the gap between the two fields and help developers build reliable systems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPedro Fonseca is a postdoctoral researcher in the systems lab at the Paul G. Allen School of Computer Science and Engineering of the University of Washington, where he works with Arvind Krishnamurthy, Hank Levy, and Xi Wang. He completed his Ph.D. in 2015 at the Max Planck Institute and the University of Saarland, where he worked with Rodrigo Rodrigues. He is interested in principled and systematic approaches to build reliable software systems, and he tackles this research problem by gathering insights about emerging trends, building systematic testing tools, and designing and redesigning software systems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Building Reliable Software Systems"}],"uid":"34541","created_gmt":"2018-03-28 16:58:10","changed_gmt":"2018-03-28 16:59:27","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-04-03T12:00:00-04:00","event_time_end":"2018-04-03T13:00:00-04:00","event_time_end_last":"2018-04-03T13:00:00-04:00","gmt_time_start":"2018-04-03 16:00:00","gmt_time_end":"2018-04-03 17:00:00","gmt_time_end_last":"2018-04-03 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"604380":{"id":"604380","type":"image","title":"Pedro Fonseca","body":null,"created":"1522256323","gmt_created":"2018-03-28 16:58:43","changed":"1522256323","gmt_changed":"2018-03-28 16:58:43","alt":"Pedro Fonseca","file":{"fid":"230374","name":"pedro_fonseca.jpg","image_path":"\/sites\/default\/files\/images\/pedro_fonseca.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/pedro_fonseca.jpg","mime":"image\/jpeg","size":325315,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/pedro_fonseca.jpg?itok=uqZfn_iN"}}},"media_ids":["604380"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"604352":{"#nid":"604352","#data":{"type":"event","title":"Spring 2018 Dean\u0027s New Alumni Celebration","body":[{"value":"\u003Cp\u003ECongratulations to another class of graduates, who will soon become part of the thousands of GT Computing alumni spread around the world. We\u0026#39;d like to help our newest alumni mark the occasion at the Spring 2018\u0026nbsp;Dean\u0026#39;s New Alumni Celebration!\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPlease join us Friday, May 4, noon\u0026nbsp;- 3\u0026nbsp;p.m. in\u0026nbsp;the Klaus Advanced Computing Building Atrium.\u0026nbsp;Families and graduates will have an opportunity to take photos, meet administrators, faculty, and staff, and share in unique traditions that make the College of Computing a special place among Georgia Tech\u0026#39;s colleges. RSVPs required for students and their guests (up to 5 guests per student).\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003ENoon\u0026nbsp;-\u0026nbsp;12:30\u0026nbsp;p.m. - Registration for graduating students\u003C\/li\u003E\r\n\t\u003Cli\u003E12:30 p.m. - 1:30 p.m. - Program\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E1:30 p.m. - 3 p.m.\u0026nbsp;- Lunch reception\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.surveymonkey.com\/r\/DNUACfall17\u0022\u003ERSVP HERE\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBefore our celebration, graduates and families are encouraged to make a day of it:\u003Cbr \/\u003E\r\n\u003Ca href=\u0022http:\/\/www.commencement.gatech.edu\/presidents-graduation-celebration\u0022 target=\u0022_blank\u0022\u003EGeorgia Tech\u0026#39;s President\u0026#39;s Graduation Celebration\u003C\/a\u003E is scheduled for 11 a.m. - 1 p.m. at the Tech Tower Lawn, no RSVP is required.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Ca href=\u0022http:\/\/www.commencement.gatech.edu\/parking-and-transit\u0022 target=\u0022_blank\u0022\u003EClick here for Commencement Parking and Transit.\u003C\/a\u003E\u0026nbsp;\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Ca href=\u0022https:\/\/pts.gatech.edu\/visitors#l3\u0022 target=\u0022_blank\u0022\u003EClick here for more parking lots\u003C\/a\u003E.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Ca href=\u0022http:\/\/www.commencement.gatech.edu\/schedule\u0022 target=\u0022_blank\u0022\u003EBachelor\u0026#39;s Commencement:\u003C\/a\u003E\u0026nbsp;Saturday, May 5, 9 a.m. - 11:30\u0026nbsp;a.m., \u003Ca href=\u0022http:\/\/www.commencement.gatech.edu\/venue-information\u0022 target=\u0022_blank\u0022\u003EMcCamish Pavilion\u003C\/a\u003E. Graduating students \u003Cstrong\u003Emust\u003C\/strong\u003E\u003Cstrong\u003E \u003C\/strong\u003Earrive no later than\u0026nbsp;8\u0026nbsp;a.m.!\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nIf you are unable to attend Georgia Tech\u0026#39;s Commencement, please tune in here: \u003Ca href=\u0022http:\/\/www.commencement.gatech.edu\/live\u0022 target=\u0022_blank\u0022\u003Ehttp:\/\/www.commencement.gatech.edu\/live\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nWe wish all of our graduates and their guests a happy and enjoyable day, and look forward to celebrating with each and every one of you!\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Spring 2018 Dean\u0027s New Alumni Celebration"}],"uid":"28150","created_gmt":"2018-03-27 20:55:41","changed_gmt":"2018-03-27 20:55:41","author":"Birney Robert","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-05-04T13:00:00-04:00","event_time_end":"2018-05-04T16:00:00-04:00","event_time_end_last":"2018-05-04T16:00:00-04:00","gmt_time_start":"2018-05-04 17:00:00","gmt_time_end":"2018-05-04 20:00:00","gmt_time_end_last":"2018-05-04 20:00:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food","freebies"],"hg_media":{"522561":{"id":"522561","type":"image","title":"Dean\u0027s New Alumni Celebration Graphic","body":null,"created":"1460134800","gmt_created":"2016-04-08 17:00:00","changed":"1475895291","gmt_changed":"2016-10-08 02:54:51","alt":"Dean\u0027s New Alumni Celebration Graphic","file":{"fid":"205374","name":"gtcomputinggraphic.jpg","image_path":"\/sites\/default\/files\/images\/gtcomputinggraphic_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/gtcomputinggraphic_0.jpg","mime":"image\/jpeg","size":176671,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/gtcomputinggraphic_0.jpg?itok=xEL5GxwM"}}},"media_ids":["522561"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Cstrong\u003E\u003Cem\u003EEvent Contact:\u003C\/em\u003E\u003C\/strong\u003E\u003Cbr \/\u003E\r\nBirney Robert, College of Computing\u003Cbr \/\u003E\r\n\u003Ca href=\u0022mailto:brobert@cc.gatech.edu\u0022 target=\u0022_blank\u0022\u003Ebrobert@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"604308":{"#nid":"604308","#data":{"type":"event","title":"SCS Recruiting Seminar: Tianzheng Wang","body":[{"value":"\u003Cp\u003ETITLE: The Making of Speedy, Consistent, and Robust Database Systems\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMany data-intensive applications rely on database systems to provide strong consistency and robust performance. By exploiting hardware features, modern database systems are able to provide unprecedented high performance. Such performance gains, however, are often achieved by trading off consistency or robustness, requiring application developers to deal with robustness and consistency issues by knowing and reasoning about how the database system works internally.\u003Cbr \/\u003E\r\n\u0026nbsp;\u0026nbsp; \u0026nbsp;\u003Cbr \/\u003E\r\nIn this talk, we explore ways for database systems to balance the three important but conflicting properties (consistency, robustness, and performance) \u0026ldquo;under the hood,\u0026rdquo; to free application developers from the hairy low-level details. Reaching this goal requires holistically examining the entire database stack, including various database components and other parts of the system that interact with the database. The talk will first introduce the serial safety net, a lightweight concurrency control mechanism that provides robust performance with strong consistency. We then address scalability and performance issues found in core database services to actually enable the database system to run fast, thus achieving high performance without sacrificing consistency or robustness, saving by automatically invoking approximate query evaluation algorithms.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;Tianzheng Wang received his Ph.D. in computer science from the University of Toronto in November 2017. He has been a research engineer at Huawei Canada Research Center in Toronto since June 2017. He works on the boundary between software and hardware to build better software systems by fully utilizing the underlying hardware. His current research focuses on database systems and related systems areas that impact the design of database systems, such as operating systems, distributed systems, and synchronization. He is also interested in storage, mobile, and embedded systems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Tianzheng Wang gives a talk."}],"uid":"34541","created_gmt":"2018-03-27 14:41:11","changed_gmt":"2018-03-27 14:42:12","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-04-05T12:00:00-04:00","event_time_end":"2018-04-05T13:00:00-04:00","event_time_end_last":"2018-04-05T13:00:00-04:00","gmt_time_start":"2018-04-05 16:00:00","gmt_time_end":"2018-04-05 17:00:00","gmt_time_end_last":"2018-04-05 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"604309":{"id":"604309","type":"image","title":"Tianzheng Wang","body":null,"created":"1522161715","gmt_created":"2018-03-27 14:41:55","changed":"1522161715","gmt_changed":"2018-03-27 14:41:55","alt":"Tianzheng Wang","file":{"fid":"230342","name":"photo-tianzheng-wang.jpg","image_path":"\/sites\/default\/files\/images\/photo-tianzheng-wang.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/photo-tianzheng-wang.jpg","mime":"image\/jpeg","size":313448,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/photo-tianzheng-wang.jpg?itok=kNncyHss"}}},"media_ids":["604309"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"604305":{"#nid":"604305","#data":{"type":"event","title":"SCS Recruiting Seminar: Yi Li","body":[{"value":"\u003Cp\u003ETITLE: Managing Software Complexity through Compositional Analysis\u003C\/p\u003E\r\n\r\n\u003Cp\u003EABSTRACT:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EToday\u0026rsquo;s computer systems are large, they are complex, and they are everywhere. Our lives are increasingly dependent on the correct operation of the software running them. Yet our ability to analyze and understand them seems to be lagging behind. In this talk, I will argue that the key to dealing with the complexity in software systems is through abstraction and compositional techniques. I will then present two approaches that automatically decompose software artifacts and derive the right level of abstraction for specific analysis tasks. First, I will describe an approach called FHistorian, which identifies software features and extracts feature models from version histories to enable modular software development. Then, I will present a technique, uLTR, which dissects and analyzes timing requirements for real-time component-based systems to facilitate better design and more efficient runtime monitoring. Finally, I will share some future directions for building a modular software mining and construction framework to exploit the increasing volume of existing software artifacts available on the Internet.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBIO:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EYi Li is a Ph.D. candidate in the Department of Computer Science at the University of Toronto. Previously, he received his B.Comp. degree with First Class Honours from the National University of Singapore in 2011 and his M.Sc. degree in Computer Science from the University of Toronto in 2013. His research interests include program analysis, software verification, software requirements, and history analysis. His research also addressed important problems in SMT solving techniques and artificial intelligence. His recent work on software history analysis won an ACM Distinguished Paper Award at the 30th International Conference on Automated Software Engineering (ASE\u0026rsquo;15).\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Yi Li gives a talk."}],"uid":"34541","created_gmt":"2018-03-27 14:35:07","changed_gmt":"2018-03-27 14:37:40","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-03-29T12:00:00-04:00","event_time_end":"2018-03-29T13:00:00-04:00","event_time_end_last":"2018-03-29T13:00:00-04:00","gmt_time_start":"2018-03-29 16:00:00","gmt_time_end":"2018-03-29 17:00:00","gmt_time_end_last":"2018-03-29 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"604307":{"id":"604307","type":"image","title":"Yi Li","body":null,"created":"1522161437","gmt_created":"2018-03-27 14:37:17","changed":"1522161437","gmt_changed":"2018-03-27 14:37:17","alt":"Yi Li","file":{"fid":"230341","name":"Unknown.jpeg","image_path":"\/sites\/default\/files\/images\/Unknown_2.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Unknown_2.jpeg","mime":"image\/jpeg","size":781858,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Unknown_2.jpeg?itok=ENt_or4u"}}},"media_ids":["604307"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"604268":{"#nid":"604268","#data":{"type":"event","title":"Spring 2018 Dean\u0027s New Graduate Alumni Celebration","body":[{"value":"\u003Cp\u003ECongratulations! You are about to earn your graduate degree from Georgia Tech, and we want to honor your achievement and help you celebrate!\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPlease join us for the Dean\u0026#39;s New Graduate Alumni Celebration, to\u0026nbsp;be held Thursday, May 3,\u0026nbsp;5\u0026nbsp;- 8:30\u0026nbsp;p.m. at\u0026nbsp;Georgia Tech\u0026#39;s\u0026nbsp;Historic Academy of Medicine. Families and graduates will have the opportunity to mingle with\u0026nbsp;Dean Zvi Galil,\u0026nbsp;College of Computing professors, staff and\u0026nbsp;fellow students!\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E5\u0026nbsp;-\u0026nbsp;6:30 p.m. - Hors d\u0026#39;oeuvres, cocktails and registration\u003C\/li\u003E\r\n\t\u003Cli\u003E6:30 - 7:30\u0026nbsp;p.m. - Program\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E8 - 8:30\u0026nbsp;p.m. - Dessert and coffee\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EComplimentary valet parking is available at the \u003Ca href=\u0022http:\/\/www.academy.gatech.edu\/\u0022 target=\u0022_blank\u0022\u003EHistoric Academy of Medicine\u003C\/a\u003E for this event on Thursday, May 3, 5\u0026nbsp;- 8:30 p.m.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nPlease \u003Ca href=\u0022https:\/\/www.surveymonkey.com\/r\/GDNACSpring18\u0022\u003ERSVP \u003C\/a\u003Eno later than Friday, April 13.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nMake a weekend out of your graduation celebration!\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Cstrong\u003EOMSCS New Graduate Campus Tour\u003C\/strong\u003E: Thursday, May 3, 3 p.m. Family and graduation guests welcome. Please RSVP via email to \u003Ca href=\u0022mailto:baiello@cc.gatech.edu?subject=OMSCS%20New%20Graduate%20Campus%20Tour\u0022 target=\u0022_blank\u0022\u003Ebaiello@cc.gatech.edu\u003C\/a\u003E with your expected number of participants.\u0026nbsp;\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/www.commencement.gatech.edu\/presidents-graduation-celebration\u0022 target=\u0022_blank\u0022\u003EPresident\u0026#39;s Graduation Celebration\u003C\/a\u003E: Friday, May 4, 11\u0026nbsp;a.m. -\u0026nbsp;1\u0026nbsp;p.m., Student Center Ballroom. No RSVP.\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/www.commencement.gatech.edu\/schedule\u0022 target=\u0022_blank\u0022\u003EPh.D. Commencement:\u003C\/a\u003E\u0026nbsp;Friday, May 4, 9\u0026nbsp;-11 a.m. at\u0026nbsp;\u003Ca href=\u0022http:\/\/www.commencement.gatech.edu\/venue-information\u0022 target=\u0022_blank\u0022\u003EMcCamish Pavilion\u003C\/a\u003E. Students need to report for line-up at 8:15 a.m.\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/www.commencement.gatech.edu\/schedule\u0022 target=\u0022_blank\u0022\u003EMaster\u0026#39;s Commencement\u003C\/a\u003E: Friday, May 3, 3 - 5:30 p.m. at \u003Ca href=\u0022http:\/\/www.commencement.gatech.edu\/venue-information\u0022 target=\u0022_blank\u0022\u003EMcCamish Pavilion\u003C\/a\u003E. Students need to report for line-up at 2 p.m.\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Spring 2018 Dean\u0027s New Graduate Alumni Celebration"}],"uid":"28150","created_gmt":"2018-03-26 19:48:51","changed_gmt":"2018-03-26 19:48:51","author":"Birney Robert","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-05-03T18:00:00-04:00","event_time_end":"2018-05-03T21:30:00-04:00","event_time_end_last":"2018-05-03T21:30:00-04:00","gmt_time_start":"2018-05-03 22:00:00","gmt_time_end":"2018-05-04 01:30:00","gmt_time_end_last":"2018-05-04 01:30:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food"],"hg_media":{"604265":{"id":"604265","type":"image","title":"DNGAC 2018","body":null,"created":"1522093524","gmt_created":"2018-03-26 19:45:24","changed":"1522093524","gmt_changed":"2018-03-26 19:45:24","alt":"","file":{"fid":"230333","name":"DNGAC_Spr18 mailchimp hero.png","image_path":"\/sites\/default\/files\/images\/DNGAC_Spr18%20mailchimp%20hero.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/DNGAC_Spr18%20mailchimp%20hero.png","mime":"image\/png","size":3617853,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/DNGAC_Spr18%20mailchimp%20hero.png?itok=NxBCHoys"}}},"media_ids":["604265"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBirney Robert\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ebrobert@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}