Event Agenda 

• 12:00 – 12:45 PM | Arrival, Lunch, and Networking
• 12:45 – 1:15 PM | Welcome and IRIM Updates - Executive Director Greg Sawicki (Q&A to follow)
• 1:15 – 1:30 PM Break
• 1:30 – 2:45 PM | Research Neighborhood & Research Initiative Updates + All Hands Q&A
• 1:30 – 1:45 PM – Human-Robot Collaborative Teaming | Speaker: Ye Zhao
• 1:45 – 2:00 PM – Agricultural Robotics | Speaker: Colin Usher
• 2:00 – 2:15 PM – Household Robotics | Speaker: Sonia Chernova
• 2:15 – 2:30 PM – Construction Robotics | Speaker: Edvard Bruun
• 2:45 – 4:00 PM  | Poster Session (Atrium) 

REGISTRATION LINK

This seminar presents a synthesis of research focused on leveraging these data sources for infectious disease prediction, spanning from classical statistical approaches to modern AI architectures.

Key Areas of Discussion:

• Statistical Methodologies: The presentation covers a family of models that combine autoregressive time series structure with penalized regression on Google search data. This includes extensions to spatial-temporal modeling, multi-disease settings, and COVID-19 adaptation.
• AI Architectures: Recent work on attention-based transformer architectures for time series forecasting will be discussed, highlighting methods for multivariate dependency modeling, in-context learning, and efficient linear attention.
• Practical Application: Drawing from ongoing participation in the CDC FluSight forecasting initiative, the session compares the strengths and limitations of both paradigms and shares practical lessons learned from real-time deployment.

The talk aims to offer perspective on when and how statistical rigor and deep learning flexibility each contribute to reliable disease forecasting.

About the Speaker

Dr. Shihao Yang is a Harold E. Smalley Early Career Professor and Assistant Professor in the School of Industrial and Systems Engineering at Georgia Tech. He completed his PhD in statistics and post-doc in Biomedical Informatics at Harvard University. Dr. Yang’s research focuses on data science, with special interest in time series, dynamical systems, and applications in infectious disease transmission forecasting.

To attend, please register online via Zoom.

Explore how expertise is evolving in the age of AI. Dr. Gichoya will share insights from four years of the HITI Lab Datathon, highlighting lessons on data science, training, and real-world applications of AI in healthcare.

BIO
Dr. Gichoya is the William and Kay Casarella Professor of Radiology at Emory University and leads the HITI (Healthcare AI Innovation and Translational Informatics) lab. Her work is centered around using data science to study health equity. Her group works in 4 areas - building diverse datasets for machine learning (for example the Emory Breast dataset); evaluating AI for bias and fairness; validating AI in the real world setting and training the next generation of data scientists (both clinical and technical students) through hive learning and village mentoring. She serves as the program director for radiology: AI trainee editorial board and the Emory University medical students machine learning elective. She has mentored over 60 students across the world (now successful faculty, post doc, PHD, and industry employees) from several institutions around the world. She has received several awards including the most influential radiology researcher in 2022 and is a 2023 Emerging Scholar at the National Academy of Medicine.

Relax with complementary beverages and come paint a succulent planter with a plant to go with it - pots, plants, and paints provided! 

Spots are limited so sign up to reserve yours: https://gatech.universitytickets.com/w/event.aspx?id=2259

Patents provide valuable and cutting-edge information for innovators and researchers. This workshop will begin with a brief introduction to intellectual property and then will focus on patents. The presenter will demonstrate how to conduct preliminary patent searches using publicly accessible patent tools. Attendees will have an opportunity to participate in hands-on learning activities.

《你的名字》让人想起，名字背后有记忆与牵挂；

《千与千寻》提醒我们，名字也可能被拿走。

这一次，让我们从两部电影出发，一起思想在风向改变的时候，如何不忘记自己真正的名字

聚会安排

6:30-7:10PM 吃饭与交流（提供免费的中餐）

7:10-7:40PM 敬拜与报告

7:40-9:00PM 专题聚会

43 But now thus says the Lord,
he who created you, O Jacob,
    he who formed you, O Israel:
“Fear not, for I have redeemed you;
    I have called you by name, you are mine. ——Isaiah 43:1

Your Name reminds us that names carry memories and connections.

Spirited Away shows that names can be forgotten or taken away.

As we step into a world that often changes its direction and values, let’s pause and reflect together:

How can we remember who we really are— the ones called by Christ’s name, and stand firm in faith amid the shifting winds around us?

Schedule

6:30–7:10 PM – Dinner and Fellowship (Free Chinese dinner provided)

7:10–7:40 PM – Worship and Announcements

7:40–9:00 PM – Special Topic

We will also be providing additional information about sign-ups for STEM Connect.
Event will run from 6:30pm to 8:00pm at Instructional Center 211.

📍 Sign up now: bit.ly/AshaSpringRun2026

#RunForEducation #AshaForEducation #SpringRun #GeorgiaTech"

Featured Speakers

Sam Bolton, Keynote - Sam is a fourth-year Scheller Business student with a concentration in marketing and a minor in leadership and social justice. Sam will discuss how getting lost – whether literally and physically, or metaphorically lost in passions, hobbies, dreams - is a means to finding where you belong in the world, on campus, and most importantly, where you belong internally.

Mike Jones, Guest Speaker - Mike is an administrative professional with Georgia Tech Human Resources. Mike’s talk centers on the idea that presence is something we actively choose. Presence is a choice, and how you choose to show up can shape your opportunities, relationships, and sense of belonging.

Samiksha Digambar, Guest Speaker - Samiksha is a first-year undergraduate student in the College of Engineering. Samiksha reflects on her journey thus far on how to be present despite the fear of others’ judgment and self-doubt. Using her own personal stories, she describes how shifting the focus away from yourself and toward helping others has transformed the way she uses her voice.

Please RSVP on Engage if interested in attending!

All ceremonies will be live streamed and will also be available for viewing after the event.

General information can be found at commencement.gatech.edu.

Colleges will host individual Graduation Celebrations for master's students following the Institute ceremony. 

All ceremonies will be live streamed and will also be available for viewing after the event.

General information can be found at commencement.gatech.edu.

This ceremony will feature Bachelor's graduates from the College of Computing and the Ivan Allen College of Liberal Arts.

All ceremonies will be live streamed and will also be available for viewing after the event.

General information can be found at commencement.gatech.edu.

This ceremony will feature Bachelor's graduates in select College of Engineering majors: Mechanical Engineering (ME), Civil Engineering (CE), Nuclear and Radioactive Engineering (NRE), Electrical Engineering (EE), Aerospace Engineering (AE), Computer Engineering (CMPE), Environmental Engineering (ENVE), Industrial Engineering (IE), and Materals Science Engineering (MSE).

All ceremonies will be live streamed and will also be available for viewing after the event.

General information can be found at commencement.gatech.edu.

This ceremony will feature Bachelor's graduates from the College of Design, Scheller College of Business, College of Sciences, College of Lifetime Learning, and Select College of Engineering Majors (CHBE and BMED)

All ceremonies will be live streamed and will also be available for viewing after the event.

General information can be found at commencement.gatech.edu.

Written by Kitty Brazelton and Vaibu Mohan, Water Memory is based on a provided prompt of integrating AI into a creative work. The two were paired by the 96-Hour Opera Project team and the match was serendipitous.

Both composer Kitty Brazelton and librettist Vaibu Mohan shared the experience of witnessing the decline of a beloved older woman in their family due to dementia. For this creative team, Water Memory has become a deeply personal story about the power of memory, family, and connection.

Composer: Kitty Brazelton
Librettist: Vaibu Mohan
World Premiere Performance
Performance runtime: approximately 65 minutes—with no intermission

 About the event: The April 29th event marks the next milestone in our collaborative journey and builds momentum from our convening last fall. This professionally facilitated event will kickstart interdisciplinary research ideas and pave a path for competitive formal funding submissions. $$ CAPHI will provide research support and funding for follow-up professional grant writing services to teams formed during our Spring event. $$ 

This gathering is about aligning technical strengths and building essential relationships among participants. By connecting on both the capabilities and interpersonal levels, and by engaging in open dialogue, sharing perspectives, and fostering collaboration, we set the stage for meaningful impact and ensure that our collective efforts are both visionary and actionable. We look forward to seeing you there!

• When: April 29th 2026, from 10:00 am to 3:45 pm
• Where: Dalney 180 Conference Room (926 Dalney Street NW, Atlanta GA 30318; Dalney 180 | Office of Sponsored Programs)
• Parking: W22 Dalney Parking Deck (Directions and Parking | Office of Sponsored Programs)
• Registration: Community & Population Health Initiative (CAPHI)  Spring 2026 Convening – Fill out form
• CAPHI Researcher Database: CAPHI Researcher Database – Fill out form

Speaker:  Ilias Diakonikolas, Professor, The University of Wisconsin–Madison

Abstract:

Robustness 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. 

 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.

Bio:

lias 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 "Algorithmic High-dimensional Robust Statistics" published by Cambridge University Press.

• What makes hearing fundamentally different from vision?
• What computations allow the brain to infer space from sound?
• How does early blindness reorganize these computations, and what does that reveal about brain plasticity? 

Participants will be introduced to generative AI fundamentals, prompt engineering, and practical applications such as automated inventory systems, predictive maintenance, and route optimization. The workshop will also cover ethical AI use, good and bad uses of generative AI (GenAI), and rapidly emerging use cases. By the end of the session, participants will have a better understanding of how to begin applying AI to enhance supply chain processes and drive success within their organizations.

Event includes networking, presentation, light bites, beverages, and Q&A.

Featuring Chris Gaffney, Managing Director of the Supply Chain and Logistics Institute (SCL), Academic Program Director for Georgia Tech Professional Education, and Edenfield Executive-in-Residence and a Professor of the Practice in the H. Milton Stewart School of Industrial and Systems Engineering.

Register via Eventbrite to attend the event taking place at the Georgia Tech Atrium (147 Technology Parkway Northwest, Peachtree Corners, GA 30092), the first-of-its-kind professional, academic, and research innovation space within Curiosity Lab’s state-of-the-art Innovation Center.

• Artwork must be original and created by the submitter
• Maximum of two submissions per artist
• Register your art submission by July 6
• Deliver artwork (clearly labeled with name and contact info) to the IBB front desk
  • July 15–17, between 8 a.m.-5 p.m. each day
  • Attendance at the July 23 Show is encouraged, but not required

⭐ Awards - All winning pieces to be displayed on the IBB website!

• Fan Favorite
  Voted on by IBB Art Gallery visitors from July 20–23. Celebrating the piece that resonates most with the community.
• 🔬 IBB ArtSci Award
  Recognizing a standout work that powerfully captures the intersection of art and science.
• 🧠 BRAINiArts Award
  Honoring creative expression inspired by neuroscience. 

Sponsored by Georgia Tech's Institute for Bioengineering and Bioscience (IBB), and the Bioengineering and Bioscience Unified Graduate Students (BBUGS)

Register Online to Attend

He is Professor of Bioengineering and Materials Science at UC Berkeley and Faculty Scientist at Lawrence Berkeley National Laboratory. He is a Fellow of the Royal Society of Chemistry, the American Institute for Medical and Biological Engineering, the Materials Research Society and the American Association for the Advancement of Science. In addition to his research, he mentors and teaches students in the fields of biomaterials design, materials science, polymer science, and nanomedicine.

Faculty host: Felipe Quiroz

 

Special emphasis is given to Tissue Engineering and Regenerative Medicine and particular applications and more details are described on the lab web page.

Faculty host: Alexander Vlahos

 

This event will take place on Wednesday, April 29 from 12 - 1 p.m. at the Beth Cabrera Reflection Space and Multicultural Lounge (John Lewis Student Center). If interested in attending, please RSVP on Engage.

To view the latest program, please visit the event webpage at c21u.gatech.edu/2026-spring-symposium.

Please register by Thursday, April 16, to secure your spot and join the conversation shaping the future of learning.

Atrium’s managing director, Stephen Harmon, will share how Atrium connects visitors with resources and networks and offers programs that provide access to opportunities beyond the Tech campus. You will also hear from Jonna Lee and Eric Sembrat of the College of Lifetime Learning research team about their work applying personas, AI, and digital credentials to better serve learners. Additionally, Curiosity Lab’s Executive Director, Emily Heintz, will discuss the four sectors it serves and how they support inventors and entrepreneurs.

The program will conclude with a social hour for connecting with fellow attendees and speakers. Light refreshments will be served.

Please register by Thursday, May 7.

Register now

This online session counts as one contact hour towards the in-person training requirement of the RCR Compliance Policy. For more information about the RCR training requirements, refer to the Compliance Training Matrix.

Georgia Tech Students, Staff, Faculty, can pre-register to help ensure RCR credit here: https://gatech.geniussis.com/Registration.aspx?aid=1891

Come to the Georgia Tech Permaculture Interest Group Meeting to learn about the RCE (UN Regional Centre of Expertise for Education) SDG Fellowship Program! Irene Jacob will deliver a guest lecture about her 2025-26 fellowship project on Pollinator Gardens, in partnership with the non-profit My Green Earth. The talk will be followed by a Permaculture Interest Group informational meeting.

Instructional information and seeds may be available.

Probing Charge Carriers in Mixed Ionic-Electronic Conducting Polymers

Abstract:

Conjugated polymers continue to emerge as next-generation electronic materials for mixed ionic-electronic conduction applications, ranging from biomedical sensing to energy storage. However, their development is hampered by a lack of rational design principles due to missing fundamental knowledge about how ion-charge interactions and dynamic polymer nanostructure influence charge transport and storage along polymer chains. In this talk, I will first discuss how we are exploiting the ultrafast dynamics of photoexcited charge carriers to provide details on their nanoscale environment and trapping behavior. Then I will show how in situ electronic and vibrational spectroscopy of polymer electrodes can be used to track their complex nanoscale dynamics during charging, revealing insights into nanostructures that support the formation of mobile carriers.

Bio:

Dr. Chris Grieco is an Assistant Professor of Chemistry at Auburn University, where his research group develops laser spectroscopy methods to probe charge carriers in conducting polymers used in electrochemical applications ranging from bioelectronics to batteries. Prior to Auburn, Chris earned a PhD in Chemistry at Penn State University where he worked with Prof. John Asbury studying how to improve exciton and charge carrier dynamics in organic molecules and polymers for solar cells. Chris then worked with Prof. Bern Kohler as a postdoctoral scholar at the Ohio State University, where he developed ultrafast transient absorption spectroscopy methods for probing the elusive structure and photochemistry of the eumelanin biopigment.

Recent Awards:

• NSF CAREER Award, 2025
• Norman Edmund Inspiration Award, Edmund Optics, 2024
• Ultrafast Education Award - Bronze, Edmund Optics, 2024
• Gerhard Closs Postdoctoral Award, Inter-American Photochemical Society, 2023

BIO
Jeffrey Hubbell is a pioneer in the field of immuno-modulatory materials whose research spans biology, chemistry, and engineering to generate novel solutions to common health problems. His work focuses on using biomaterials and engineered proteins to enhance the body’s own immune system to fight inflammatory and autoimmune disorders, allergies, and disease states like cancers. With more than 400 papers and 100 issued US patents, Hubbell uses biomaterials and protein engineering approaches to investigate topics in regenerative medicine and immunotherapeutics. In regenerative medicine, he develops both materials and protein therapeutics to address issues such as chronic wound healing in diabetes and bone repair after trauma. In immunotherapeutics, he pursues nanomaterials in vaccination for infectious disease and cancer as well as targeted therapy with RNA, protein-material conjugates for inverse vaccines to induce antigen-specific tolerance in autoimmunity and allergy, and in protein therapy to tip immune balances toward aggression in immuno-oncology and toward tolerance in inflammatory disease. His interests are both basic and translational, having founded or co-founded six biomedical companies based on his technology.

Before moving to New York University, Hubbell was at the University of Chicago in the Pritzker School of Molecular Engineering, where he helped build its strength in immunoengineering. Prior to that, he was on the faculty of the Swiss Federal Institute of Technology Lausanne (EPFL, where he served as founding Director of the Institute of Bioengineering and Dean of the School of Life Sciences), the Swiss Federal Institute of Technology Zurich (ETHZ) and University of Zurich, the California Institute of Technology, and the University of Texas in Austin. He was elected to the US National Academy of Engineering in 2010, the National Academy of Medicine in 2019, the American Academy of Arts and Sciences in 2021, and the National Academy of Sciences in 2023.

Join President Cabrera with Rodney Adkins, former Senior Vice President at IBM, to discuss leadership in technology. 

GameFest 2026 is FREE collegiate gaming experience where attendants can enter tournaments and challenges featuring your favorite games. The more games you play, the more points you earn and the attendant with the most points at the end of GameFest 2026 will win The Director's Cup Grand Prize: A New Custom-Built Gaming PC!!

With returning staples like Marvel Rivals, Valorant, League of Legends, and Rocket League plus new titles like Mario Kart World, 2XKO, Brawl Stars, Pokemon, and so much more, GameFest 2026 has something for everyone!

Join us APRIL 25TH and 26TH in the GEORGIA TECH CAMPUS RECREATION CENTER for GAMEFEST 2026!! Whether you’re a casual gamer or looking to dominate as many events as possible, our celebration of gaming is an event you won't want to miss!

Register for the event TODAY on The Official GameFest 2026 Website and signup for your favorite games at start.gg/gamefest-2026!

This year, our theme is Bloom 🌸💮🪻, and the dress code is business professional and Spring-inspired attire. Tickets are available now, and all sales go to each student chapter as we prepare for competition this upcoming fall.

Location: Haworth Atlanta Showroom

383 17th St NW, Suite 120

Atlanta, GA 30363

Tickets (purchase here):

NOMAS Members: Free Entry (request a ticket)

Students: $15.00

Faculty: $30.00

Professionals: $30.00

Don't have time to play games? Feel free to drop in anytime between 2-7 PM to fuel for your next final. We will have food and refreshments for attendees!

We will be meeting Monday, April 13th, from 6:30 to 7:30 PM in CoC 053, and hope to see you there! If you can't make it in person, a zoom link is also provided.

For any additional information, please don't hesitate to reach out via our discord: https://discord.gg/cyNvsmtjqY

Below is an abstract of the work:
Reasoning about the correctness of distributed systems is a significant challenge, with precise correctness
specifications serving as an essential prerequisite to verification. However, identifying and formulating
specifications remains a major hurdle for developers in practice. Specy addresses this challenge by automatically
learning specifications from observable event traces generated by message exchanges in distributed systems.
The system employs a specialized grammar tailored for event-based specifications, incorporating support
for quantifiers over events – a capability essential for capturing the complex behavioral patterns inherent in
distributed protocols. Specy utilizes a novel learning procedure that combines grammar-based enumerative
search with dynamic learning from event traces, providing effective control over the specification search. We
evaluated Specy on established distributed protocols and industrial case studies, demonstrating its ability to
successfully learn important protocol specifications. Specy can discover previously unidentified specifications
overlooked by developers, automatically derive inductive invariants that were previously constructed manually
for verification purposes, and, through run-time monitoring in production systems, reveal gaps in testing
coverage – highlighting opportunities to leverage specifications in practice.

Expect conversations about everything from cyber trends and career paths to favorite tools, classes, projects and our new club — no technical expertise required. Come build your network, find potential teammates for competitions, and get a feel for the community behind the keyboards.

Stop by, say hello, eat some delicious free pizza and start making connections that could last throughout your time at Georgia Tech and beyond. Everyone interested in cybersecurity is welcome! 🔐💻

Enjoy good food, productive energy, and meaningful conversations with fellow students. Let’s learn, grow, and succeed together!

All majors and years are welcome!

Whether you’re new to campus or back for another term, come take a break, grab a s’more, and meet other transfer students in a relaxed, welcoming space.

We know summer can feel a little quieter—and finding your people isn’t always easy. That’s why TSA is hosting this bonfire to help you connect, unwind, and start the semester with some friendly faces.

Stop by anytime between 7–9 PM on May 22nd—we’d love to meet you!

Learn more on Engage
 

Enjoy refreshing treats like King of Pops and chips and queso from Bro-Ritos ATL, while participating in interactive activities. There will even be opportunities to win prizes!

Stick around after the carnival to enjoy a screening of Back to the Future with Campus Tickets!

Don’t miss this opportunity to unwind and meet new people!

Date: Wednesday, April 29, 2026, at 12:00 p.m.

Location: Coda, Room 114 (Google Maps link)

Lunch provided!

Title: Safety Alignment of Generative Foundation Models

Abstract: Modern LLMs are safety-aligned through supervised finetuning (SFT) and reinforcement learning from human feedback (RLHF) to mitigate harmful, undesirable, or disallowed outputs. Despite ongoing progress, LLMs still exhibit critical safety gaps: models can be jailbroken into revealing harmful content, often overrefuse benign queries, and fail to maintain safety under adversarial scenarios. My dissertation research advances the safety alignment of generative foundation models by developing principled tools, architectures, and training methods that strengthen their robustness and reliability at scale. Specifically, this thesis focuses on three complementary thrusts: a) Understanding and shaping the safety landscape of LLMs, b) Internalizing safety in agentic reasoning intelligence, and c) Grounding safety and robustness in multimodal perception.

Bio: Anthony is a CS Ph.D. candidate at Georgia Tech working with Polo Chau. His thesis research has elevated foundational AI efforts at Nvidia, Meta, IBM, Intel, and ADP via internships and collaborations, and has resulted in several first-author publications and awards at NeurIPS, ACL, ICCV, EMNLP, CVPR, and BMVC. His research has contributed to the AI foundation of multiple funded industry research grants totaling over $1.4M. Learn more about him at shengyun-peng.github.io.

About HotCSE

HotCSE is an academic seminar series to bring Ph.D. students in Computational Science and Engineering together to discuss interesting topics. The topics consist of high-performance computing, machine learning, data analysis, simulation, computational sustainability, medical informatics, etc.

The talks have always been enjoyable and have ranged from quite informal to formal conference style talks. Either chalks or slides can be used to help people understand your talk. It is also a great forum to practice conference talks and bounce around new ideas.

Currently the talks are sponsored by the School of Computational Science and Engineering. The goal of CSE is slightly broader than that of these talks - we want to bring more people outside CSE to discuss their related work here.

Presenter: Seok Joon Kim 

Seminar Title

AHEAD of Time: Toward Robots That Behave Like Human Companions 

Affiliation 

George W. Woodruff School of Mechanical Engineering (Georgia Tech College of Engineering), Symbiotic and Augmented Intelligence Laboratory (SAIL)

Participation & Visibility 

We actively encourage cross-departmental participation and welcome engagement from both internal academic units and external industry partners. Our goal is to foster a robust community of practice around XR at Georgia Tech. 

Subscribe & Sign Up 

To join our mailing list and RSVP your attendance for these seminar series, please sign up here: RSVP HERE. Lunch will be served for those who RSVP.

Presenter: Alex Yang

Seminar Title

 LitForager: Exploring Multimodal Literature Foraging Strategies in Immersive Sensemaking 

Affiliation

IVI Lab (Immersive Visualization & Interaction Lab), School of Interactive Computing (Georgia Tech College of Computing)

Seminar Title

We actively encourage cross-departmental participation and welcome engagement from both internal academic units and external industry partners. Our goal is to foster a robust community of practice around XR at Georgia Tech. 

Participation & Visibility

We actively encourage cross-departmental participation and welcome engagement from both internal academic units and external industry partners. Our goal is to foster a robust community of practice around XR at Georgia Tech. 

Subscribe & Sign Up 

To join our mailing list and RSVP your attendance for these seminar series, please sign up here: RSVP HERE. Lunch will be served for those who RSVP.

The goal of the National Safety Council's DDC is to provide drivers with knowledge and safe driving techniques to prevent accidents and violations. This course focuses on accident prevention through hazard recognition and application of accident-avoidance techniques. In addition, the course addresses common driving violations that result in accidents and how to change driving habits to eliminate moving violations.

Throughout the 6-hour course, participants learn how to recognize both potential and immediate hazards, how to avoid accidents in a variety of driving conditions and how to choose safe and legal driving behaviors. The emphasis is on identifying and choosing safe and legal behind-the-wheel behaviors and actions.

In order to attend this course you must have a valid state driver license.

You are entitled to a discount on your auto insurance in Georgia after the completion of this course.

To Register:

1. Go to Genius LMS and use your GT Login
2. Click "View Course Catalog"
3. Search for "defensive"
4. Click "Register" for your preferred date
5. Click "Proceed to Checkout" and follow the instructions

IF YOU HAVE TROUBLE REGISTERING, or IF YOU DON'T GET AN EMAIL IMMEDIATELY AFTER REGISTERING, please contact ors@ors.gatech.edu.

Who Should Attend?:

All current Georgia Tech employees and students. Individuals who drive vans to transport 15 or more people must take the Van Safety course. To register for Van Safety, email generalsafety@ehs.gatech.edu.

Register Online to Attend

Location: 
Kendeda Building, 422 Ferst Dr, porch (or if raining, inside lobby)

Learn more at https://crc.gatech.edu/member-appreciation-week-2/ 

Developing a community-based perspective on data center development

The Sound of Motion: Transforming Artistic Body Movement into Music for Motor Therapy

Designing Ethical Robot Behaviors for Unforeseen Human-Robot Interactions Using LLMs

---

IPaT: GVU Lunch Lecture Series

PLEASE NOTE SEMINAR IS TUESDAY THE 21st!

Abstract: How should we act under incomplete information? We must integrate over missing values to assess the risk of a downstream decision, or the expected risk reduction from gathering further information.  Applications include NLP annotation, LLM workflows, clinical medicine, experimental design, and many others.  The classical approach to predicting missing values involves fitting some generative model to the incomplete data.  Alas, classical methods are slow and often inaccurate due to local optima, poor mixing, or model misspecification.  We propose a low-fuss, efficient alternative with fewer assumptions: given incomplete data, train a neural network to directly predict masked values. Our generic network architecture resembles BERT: it constructs a representation for each random variable's posterior marginal distribution and iteratively refines it through attention on other random variables and entities.  We find that this posterior marginal Transformer ("Marformer") works much better than EM and almost as well as MCMC even when those methods know the true data generating model, and it outperforms them on naturally occurring data. We outline future methods for adaptive masking and a future design for managing data collection efforts.

Bio: Jason Eisner is Professor of Computer Science at Johns Hopkins University and a Fellow of the Association for Computational Linguistics. At Johns Hopkins, he is also affiliated with the Center for Language and Speech Processing, the Mathematical Institute for Data Science, the Cognitive Science Department, and the Data Science and AI Institute. His goal is to develop the probabilistic modeling, inference, and learning techniques needed for a unified model of all kinds of linguistic structure, and to connect existing models (such as LLMs) to commonsense reasoning, formal reasoning, and downstream applications. His 180+ papers have presented various algorithms for parsing, machine translation, and weighted finite-state machines; formalizations, algorithms, theorems, and empirical results in computational phonology; unsupervised or semi-supervised learning methods for syntax, morphology, and word-sense disambiguation; and principled methods for conversational AI, including neural language modeling and semantic parsing. From 2019-2024 he was Director of Research at Microsoft Semantic Machines, which developed new approaches to conversational AI. He is also the lead designer of Dyna, a declarative programming language that provides an infrastructure for AI algorithms. He has received 3 school-wide awards for excellence in teaching, most recently in 2025, as well as recent 

 Zoom Link

Meeting ID: 977 5500 1285  | Passcode: 247306 

For more information, or for CODA guest access, please contact shatcher8@gatech.edu at least 2 business days prior to the event.

Participants will design and create items such as keychains, stickers, charms, and bracelets, all in a relaxed social setting. No orchestra experience is required, making the event open to anyone interested in music, crafting, or meeting new people.

Food will be provided, adding to the casual and community-focused atmosphere of the evening.