{"689587":{"#nid":"689587","#data":{"type":"news","title":"Georgia Tech Researchers Use Statistics and Math to Understand How The Brain Works","body":[{"value":"\u003Cp\u003ENothing rivals the human brain\u2019s complexity. Its 86 billion neurons and 85 billion other cells make an estimated 100 trillion connections. If the brain were a computer, it would perform an exaflop (a billion-billion) mathematical calculations every second and use the equivalent of only 20 watts of power. As impressive as the brain is, neurologists can\u2019t fully explain how neurons work together.\u003C\/p\u003E\u003Cp\u003ETo help find answers, researchers at the \u003Ca href=\u0022https:\/\/neuro.gatech.edu\u0022\u003EInstitute for Neuroscience, Neurotechnology, and Society\u003C\/a\u003E (INNS) are using math, data, and AI to unlock the secrets of thought. Together they are helping turn the brain\u2019s raw electrical \u201cnoise\u201d into real insights about how people think, move, and perceive the world.\u003C\/p\u003E\u003Cp\u003EFair warning: Prepare your neurons for the complexity of this brain research ahead.\u003C\/p\u003E\u003Ch3\u003EBuilding AI Like a Brain\u003C\/h3\u003E\u003Cp\u003EWhat if artificial neurons in AI programs were arranged as they are in the brain?\u003C\/p\u003E\u003Cp\u003EAI programs would then help us understand why the brain is organized the way it is. This neuro-AI synthesis would also work faster, use less energy, and be easier to interpret. Creating such systems is the goal of \u003Ca href=\u0022https:\/\/psychology.gatech.edu\/people\/apurva-ratan-murty\u0022\u003EApurva Ratan Murty\u003C\/a\u003E, an assistant professor of \u003Ca href=\u0022https:\/\/psychology.gatech.edu\/\u0022\u003EPsychology\u003C\/a\u003E who is creating topographic AI models like the one above of three domains \u2014 vision, audition, and language inspired by the brain. In the near future, he predicts doctors might be able to use these patterns to predict the effects of brain lesions and other disorders. \u201cWe\u2019re not there yet,\u201d he says. \u201cBut our work brings us significantly closer to that future than ever before.\u201d\u003C\/p\u003E\u003Ch3\u003EComputing Thought and Movement\u003C\/h3\u003E\u003Cp\u003EHow cats walk keeps \u003Ca href=\u0022https:\/\/people.research.gatech.edu\/node\/5354\u0022\u003EChethan Pandarinath\u003C\/a\u003E on his toes. This biomedical engineer uses sensors to analyze how two sets of feline leg muscles \u2014 flexors and extensors \u2014 are controlled by the spinal cord. Understanding how that happens could help patients partially paralyzed from spinal cord injuries, strokes, or progressive neuro-degenerative diseases get back on their feet again. \u201cMy lab is using AI tools that allow us to turn complex spinal cord activity data into something we can interpret. It tells us there\u2019s a simple underlying structure behind the complex activity patterns,\u201d says the associate professor.\u003C\/p\u003E\u003Ch3\u003ERevealing the Brain\u2019s Spike Patterns\u003C\/h3\u003E\u003Cp\u003E\u201cThe brain is like a symphony conductor,\u201d says \u003Ca href=\u0022https:\/\/people.research.gatech.edu\/node\/3736\u0022\u003ESimon Sponberg\u003C\/a\u003E. \u201cIndividual instruments have some independent control, but most of the music comes from the brain\u2019s precise coordination of notes among the different players in the body.\u201d This \u003Ca href=\u0022https:\/\/physics.gatech.edu\/\u0022\u003Ephysics\u003C\/a\u003E professor studies the fantastically fast-beating wings of the hummingbird-sized hawk moth (Manduca sexta). Its agile flight movement comes as a result of spikes in electrical activity in 10 muscles. Sponberg found something that surprised him \u2014 the brain focuses less on creating the number of spikes than in orchestrating their precise patterns over time. To Sponberg, every millisecond matters. \u201cWe are just beginning to understand how the nervous system first acquires precisely timed spiking patterns during development,\u201d he says.\u003C\/p\u003E\u003Ch3\u003EPredicting Decisions Through Statistics\u003C\/h3\u003E\u003Cp\u003EPut a mouse in a maze with food far away, and it will learn to find it. But life for mice \u2014 and people \u2014 isn\u2019t so simple. Sometimes they want to explore, only want water, or just want to go home. What\u2019s more, animals make decisions based on their history, not just on how they feel at the moment. To dig deeper into the decision-making process, \u003Ca href=\u0022https:\/\/people.research.gatech.edu\/node\/18557\u0022\u003EAnqi Wu\u003C\/a\u003E, an assistant professor in the \u003Ca href=\u0022https:\/\/cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E, is giving mice more options. By using a new computational framework called SWIRL (Switching Inverse Reinforcement Learning), her findings have outperformed models that fail to take historical behavior into account. \u201cWe\u2019re seeking to understand not only animal behavior but also human behavior to gain insight into the human decision-making process over a long period of time,\u201d she says.\u003C\/p\u003E\u003Ch3\u003EModeling the Mind\u2019s Wiring With Math\u003C\/h3\u003E\u003Cp\u003EConnectivity shapes cognition in the cerebral cortex, a layered structure in the brain. The visual cortex, in particular, processes visual data from the retina relayed through the Lateral Geniculate Nucleus (LGN) in the thalamus, and directs it to the correct cognitive domain in the brain. How it does this is the mystery that computational neuroscientist \u003Ca href=\u0022https:\/\/people.research.gatech.edu\/node\/13005\u0022\u003EHannah Choi\u003C\/a\u003E wants to solve. \u201cThe big question I\u2019m interested in is how network connectivity patterns in the architecture of the LGN are related to computations,\u201d says this assistant \u003Ca href=\u0022https:\/\/math.gatech.edu\/\u0022\u003Emath\u003C\/a\u003E professor. To find answers, she shows mice repeated image patterns such as flower-cat-dog-house and then disrupts the pattern. The goal? To grasp how the thalamus\u2019s nonlinear dynamical system works. If scientists and doctors better understand how brain regions are wired together, such knowledge could lead to better disease treatment.\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EThis story was originally published through the Georgia Tech Alumni Magazine. Read the original publication \u003C\/em\u003E\u003Ca href=\u0022https:\/\/www.gtalumni.org\/news\/2026\/georgia-tech-researchers-use-statistics-and-math-to-understand-how-the-brain-works.html\u0022\u003E\u003Cem\u003Ehere\u003C\/em\u003E\u003C\/a\u003E\u003Cem\u003E.\u003C\/em\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EResearchers at Georgia Tech are using math, science, and artificial intelligence to better understand how people think, move, and perceive the world.\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Researchers at Georgia Tech are using math, science, and artificial intelligence to better understand how people think, move, and perceive the world."}],"uid":"35575","created_gmt":"2026-04-09 14:51:00","changed_gmt":"2026-04-17 16:22:48","author":"adavidson38","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2026-04-09T00:00:00-04:00","iso_date":"2026-04-09T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"679908":{"id":"679908","type":"image","title":"AdobeStock_506880018.jpeg","body":"\u003Cp\u003EResearchers at Georgia Tech are using math, science, and artificial intelligence to better understand how people think, move, and perceive the world.\u003C\/p\u003E","created":"1775747910","gmt_created":"2026-04-09 15:18:30","changed":"1775747910","gmt_changed":"2026-04-09 15:18:30","alt":"Digital illustration of a human brain split down the middle: the left side is filled with white mathematical equations, diagrams, and formulas, while the right side is surrounded by colorful, flowing lines and abstract wave patterns against a dark blue background.","file":{"fid":"264129","name":"AdobeStock_506880018.jpeg","image_path":"\/sites\/default\/files\/2026\/04\/09\/AdobeStock_506880018.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/04\/09\/AdobeStock_506880018.jpeg","mime":"image\/jpeg","size":11158535,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/04\/09\/AdobeStock_506880018.jpeg?itok=smMzQtFc"}},"679903":{"id":"679903","type":"image","title":"Brain-Data-New-480x3301.jpg","body":"\u003Cp\u003E\u003Cem\u003ECaption:\u0026nbsp;This image shows a topographic vision model trained to have a brain-like organization.\u003C\/em\u003E\u003C\/p\u003E","created":"1775746394","gmt_created":"2026-04-09 14:53:14","changed":"1775746394","gmt_changed":"2026-04-09 14:53:14","alt":"Three layered, abstract heat\u2011map style grids in shades of blue, red, and beige, stacked to resemble data layers or visualization panels.","file":{"fid":"264124","name":"Brain-Data-New-480x3301.jpg","image_path":"\/sites\/default\/files\/2026\/04\/09\/Brain-Data-New-480x3301.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/04\/09\/Brain-Data-New-480x3301.jpg","mime":"image\/jpeg","size":53268,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/04\/09\/Brain-Data-New-480x3301.jpg?itok=vNYzcaPf"}},"679904":{"id":"679904","type":"image","title":"Chethan-480x330.jpg","body":"\u003Cp\u003E\u003Cem\u003ECaption:\u0026nbsp;This shows how spinal cord activity guides transitions in muscle output for extensor muscles.\u003C\/em\u003E\u003C\/p\u003E","created":"1775746465","gmt_created":"2026-04-09 14:54:25","changed":"1775746465","gmt_changed":"2026-04-09 14:54:25","alt":"Two side\u2011by\u2011side scientific diagrams labeled Cat 1 and Cat 2 showing clusters of colored data points and curved gray lines representing muscle\u2011activity patterns during movement. Each diagram includes blue, green, and yellow point clusters and marked \u2018extensor onset\u2019 and \u2018extensor offset\u2019 angles.","file":{"fid":"264125","name":"Chethan-480x330.jpg","image_path":"\/sites\/default\/files\/2026\/04\/09\/Chethan-480x330.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/04\/09\/Chethan-480x330.jpg","mime":"image\/jpeg","size":67950,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/04\/09\/Chethan-480x330.jpg?itok=RaB1s5Rq"}},"679906":{"id":"679906","type":"image","title":"new_figure-480x330.jpg","body":"\u003Cp\u003E\u003Cem\u003ECaption: This shows how mice behave differently when they are pursuing different goals.\u0026nbsp;\u003C\/em\u003E\u003C\/p\u003E","created":"1775746563","gmt_created":"2026-04-09 14:56:03","changed":"1775746563","gmt_changed":"2026-04-09 14:56:03","alt":"Three maze-like diagrams labeled \u2018water,\u2019 \u2018home,\u2019 and \u2018explore,\u2019 each showing colored paths representing an animal\u2019s movement through the maze. The paths shift from dark purple at the start to bright yellow at the end, indicating progression over time according to the color scale on the right","file":{"fid":"264127","name":"new_figure-480x330.jpg","image_path":"\/sites\/default\/files\/2026\/04\/09\/new_figure-480x330.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/04\/09\/new_figure-480x330.jpg","mime":"image\/jpeg","size":103865,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/04\/09\/new_figure-480x330.jpg?itok=wezz9ZzE"}},"679905":{"id":"679905","type":"image","title":"Brain-Data-Sponberg-480x330.jpg","body":"\u003Cp\u003E\u003Cem\u003ECaption:\u0026nbsp;This shows the spike patterns of a hawk moth. Motor systems use spike codes to control motor output.\u003C\/em\u003E\u003C\/p\u003E","created":"1775746508","gmt_created":"2026-04-09 14:55:08","changed":"1775746508","gmt_changed":"2026-04-09 14:55:08","alt":"Diagram showing a hawk moth in the center surrounded by twelve circular charts. Each chart displays proportional black and blue segments representing spike count and spike timing data for left and right muscle groups. A legend explains the colors, and text below notes that the values show mutual information estimates for 10 muscles across seven moths","file":{"fid":"264126","name":"Brain-Data-Sponberg-480x330.jpg","image_path":"\/sites\/default\/files\/2026\/04\/09\/Brain-Data-Sponberg-480x330.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/04\/09\/Brain-Data-Sponberg-480x330.jpg","mime":"image\/jpeg","size":81244,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/04\/09\/Brain-Data-Sponberg-480x330.jpg?itok=l_G56joM"}},"679907":{"id":"679907","type":"image","title":"GaTech_Brain-Data_Hannanh-Choi_480x330.jpg","body":"\u003Cp\u003E\u003Cem\u003ECaption:\u0026nbsp;This shows how visual data from the retina is directed to the correct cognitive domain in the brain through a region of the visual cortex.\u003C\/em\u003E\u003C\/p\u003E","created":"1775746605","gmt_created":"2026-04-09 14:56:45","changed":"1775746605","gmt_changed":"2026-04-09 14:56:45","alt":"Diagram showing neural connectivity between cortical layers in regions labeled V1 and LM. Arrows connect circular nodes representing layers L2\/3, L4, and L5, with green and orange arrows indicating directional pathways. A magnified inset on the right illustrates a simplified microcircuit with shapes labeled Pyr, Sst, and Vip connected by colored arrows.","file":{"fid":"264128","name":"GaTech_Brain-Data_Hannanh-Choi_480x330.jpg","image_path":"\/sites\/default\/files\/2026\/04\/09\/GaTech_Brain-Data_Hannanh-Choi_480x330.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/04\/09\/GaTech_Brain-Data_Hannanh-Choi_480x330.jpg","mime":"image\/jpeg","size":51645,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/04\/09\/GaTech_Brain-Data_Hannanh-Choi_480x330.jpg?itok=MfeiKQbd"}}},"media_ids":["679908","679903","679904","679906","679905","679907"],"related_links":[{"url":"https:\/\/neuro.gatech.edu\/georgia-tech-uses-computing-and-engineering-methods-shift-neuroscience-paradigms","title":"Georgia Tech Uses Computing and Engineering Methods to Shift Neuroscience Paradigms"},{"url":"https:\/\/neuro.gatech.edu\/head-toe-georgia-tech-researchers-treat-entire-human-body-through-neuroscience-research","title":"Head to Toe: Georgia Tech Researchers Treat the Entire Human Body Through Neuroscience Research"},{"url":"https:\/\/neuro.gatech.edu\/better-brain-machine-interfaces-could-allow-paralyzed-communicate-again","title":"Better Brain-Machine Interfaces Could Allow the Paralyzed to Communicate Again"}],"groups":[{"id":"1278","name":"College of Sciences"},{"id":"66220","name":"Neuro"},{"id":"1292","name":"Parker H. Petit Institute for Bioengineering and Bioscience (IBB)"},{"id":"1188","name":"Research Horizons"},{"id":"1279","name":"School of Mathematics"},{"id":"126011","name":"School of Physics"},{"id":"443951","name":"School of Psychology"}],"categories":[{"id":"194606","name":"Artificial Intelligence"},{"id":"138","name":"Biotechnology, Health, Bioengineering, Genetics"},{"id":"146","name":"Life Sciences and Biology"},{"id":"150","name":"Physics and Physical Sciences"},{"id":"135","name":"Research"}],"keywords":[{"id":"187915","name":"go-researchnews"},{"id":"172970","name":"go-neuro"}],"core_research_areas":[{"id":"39441","name":"Bioengineering and Bioscience"},{"id":"193656","name":"Neuro Next Initiative"}],"news_room_topics":[{"id":"71881","name":"Science and Technology"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Cstrong\u003EWriter:\u003C\/strong\u003E George Spencer\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ENews and Media Contact:\u003C\/strong\u003E \u003Ca href=\u0022mailto:audra.davidson@research.gatech.edu\u0022\u003EAudra Davidson\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":["audra.davidson@research.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"670553":{"#nid":"670553","#data":{"type":"news","title":"Georgia Statistics Day 2023: A Confluence of Minds in Statistics and Data Science","body":[{"value":"\u003Cp\u003EThis October, the Exhibition Hall of Georgia Tech resonated with the bustling energy of over 150 statisticians and data scientists gathered for the Georgia Statistics Day (GSD) 2023,\u0026nbsp;an annual symposium initiated in 2015 by Prof.\u0026nbsp;Jeff\u0026nbsp;Wu, with the vision of promoting interdisciplinary statistics research among Georgia\u0027s flagship academic institutions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHis foresight in nurturing junior researchers and stimulating practically relevant research has been pivotal in shaping the event\u0027s objectives.\u0026nbsp;This year\u0027s symposium, hosted by Georgia Tech, marked an exceptional turnout, surpassing recent year attendance records and underscoring the growing enthusiasm in this field.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe event kicked off with a warm welcome remark by event organizing committee member Prof. Shihao Yang, ISyE School Chair Prof.\u0026nbsp;Edwin\u0026nbsp;Romeijn, and Chair Professor Roshan Joseph, emphasizing the collective efforts of the three pivotal institutions: The University of Georgia, Georgia Institute of Technology, and Emory University.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe highlight of the opening was the keynote address by Professor Samuel Kou from Harvard University, who captivated the audience with insights on \u0027Catalytic Prior Distributions for Bayesian Inference\u0027.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGSD 2023 was remarkable not just for its record attendance but also for the diversity of its participants. Attendees ranged from undergraduate students to seasoned faculty members, representing various universities and stages in their academic and professional journeys. What was particularly noteworthy was the breadth of research presented: 12 oral presentations and 30 poster presentations provided a platform for a rich exchange of ideas and the latest advancements in statistics and data science.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe event wasn\u2019t just about presentations; it also recognized the hard work and talent of its participants, with an award ceremony celebrating outstanding student contributions, where the best poster award was presented to ISyE PhD candidate\u0026nbsp;Tianjiao Li.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis emphasis on mentorship and recognition is a testament to the supportive academic culture we nurture here at Georgia Tech.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis remarkable gathering was made possible through the generous support of several sponsors from within our institution, including the H. Milton Stewart School of Industrial and Systems Engineering, the College of Engineering Dean\u2019s Office, the Office of Undergraduate Research, and the Provost\u2019s Office, along with external sponsors such as Wells Fargo, the ASA GA Chapter, and Georgia CTSA.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs GSD 2023 concluded, it was clear that the symposium had not only celebrated current achievements but had also laid a path of intellectual rigor and collaborative spirit for the years ahead. With GSD 2024 slated to be at Emory University and GSD 2025 at the University of Georgia, the anticipation is palpable.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWe are confident that the tradition of excellence will continue, and we wholeheartedly pass the baton, excited to see how these peer institutions will further enrich this vibrant academic dialogue. Our collective success is a shared one, and we look forward to contributing to and celebrating future achievements in our field, together.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis October, the Exhibition Hall of Georgia Tech resonated with the bustling energy of over 150 statisticians and data scientists gathered for the Georgia Statistics Day (GSD) 2023,\u0026nbsp;an annual symposium initiated in 2015 by Prof.\u0026nbsp;Jeff\u0026nbsp;Wu, with the vision of promoting interdisciplinary statistics research among Georgia\u0027s flagship academic institutions.\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"This year\u0027s symposium, hosted by Georgia Tech, marked an exceptional turnout, surpassing recent year attendance records and underscoring the growing enthusiasm in this field. "}],"uid":"36284","created_gmt":"2023-10-20 19:22:32","changed_gmt":"2023-10-23 14:03:34","author":"chenriquez8","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2023-10-18T00:00:00-04:00","iso_date":"2023-10-18T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"672119":{"id":"672119","type":"image","title":"Samuel Kou, Keynote Speaker","body":null,"created":"1697829759","gmt_created":"2023-10-20 19:22:39","changed":"1697829759","gmt_changed":"2023-10-20 19:22:39","alt":"Samuel Kou, Keynote Speaker","file":{"fid":"255306","name":"keynote_presentation.jpeg","image_path":"\/sites\/default\/files\/2023\/10\/20\/keynote_presentation.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2023\/10\/20\/keynote_presentation.jpeg","mime":"image\/jpeg","size":4547882,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2023\/10\/20\/keynote_presentation.jpeg?itok=P8oypaUE"}}},"media_ids":["672119"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"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\u003EShihao Yang\u003Cbr \/\u003E\r\nAssistant Professor\u003Cbr \/\u003E\r\nH. Milton Stewart School of\u0026nbsp;Industrial \u0026amp; Systems\u0026nbsp;Engineering\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"591989":{"#nid":"591989","#data":{"type":"news","title":"ISyE Professor Jeff Wu Receives the 2017 ENBIS Box Medal Award for Achievements in Statistics","body":[{"value":"\u003Cp\u003EGeorgia Tech\u0026rsquo;s Stewart School of Industrial \u0026amp; Systems Engineering (ISyE) announces that Coca-Cola Chair in Engineering Statistics and Professor Jeff Wu has received the 2017 Box Medal Award from ENBIS, the European Network for Business and Industrial Statistics.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe Box Medal is named after George Box, the late British-American statistician who is considered one of the greatest statistical minds of our time. Box was extremely influential on Wu\u0026rsquo;s work during his formative years as a young academic at the University of Wisconsin, Madison, where Box was also a professor.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn a 2015 interview with Professor Hugh Chapman (Acadia University) and Professor Roshan Joseph (ISyE), Wu affirmed that Box was a tremendous influence: \u0026ldquo;[Box] was a great scholar and a great lecturer. His opinions and passion for work were contagious \u0026hellip; I respected him a lot.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccording to the ENBIS website, the Box Medal honors the legacy of George Box and is awarded each year to \u0026ldquo;an extraordinary statistician who has remarkably contributed with his work to the development and the application of statistical methods in European business and industry.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe ENBIS press release announcing Wu as this year\u0026rsquo;s Box Medal recipient stated that \u0026ldquo;with the medal, the link between two great statisticians is strengthened even further.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe press release also specified that Wu was chosen for his many contributions to the study of statistics, as well as \u0026ldquo;his ability to clearly explain complex concepts \u0026hellip; and for systematically passing on his knowledge.\u0026rdquo; Wu has supervised 45 Ph.D. students in the course of his career, many of whom are active researchers in the statistical sciences.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWu will accept the Box Medal at the ENBIS conference, held from September 9-14, 2017, in Naples, Italy. While there, he will also deliver a keynote speech on September 12, 2017.\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbout Jeff Wu\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWu earned a bachelor of science in mathematics from National Taiwan University in 1971, and a Ph.D. in statistics from the University of California, Berkeley in 1976. He has been a faculty member at the University of Wisconsin, Madison; the University of Waterloo; the University of Michigan; and currently is the Coca-Cola Chair in Engineering Statistics and professor in ISyE.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHe is known for his work on the convergence of the EM algorithm; resampling methods; nonlinear least squares; sensitivity testing and industrial statistics, including design of experiments, robust parameter design and computer experiments; and has been credited for coining the term \u0026ldquo;data science\u0026rdquo; as early as 1997.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWu has received several awards, including the COPSS Presidents\u0026rsquo; Award (1987), the Shewhart Medal (2008), the R. A. Fisher Lectureship (2011), and the Deming Lecturer Award (2012). He is an elected member of Academia Sinica (2000) and the National Academy of Engineering (2004), and has received many other awards and honors, including an honorary doctorate from the University of Waterloo.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHe has published more than 170 peer-reviewed articles and two books. He was the second editor of \u003Cem\u003EStatistica Sinica.\u003C\/em\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ECoca-Cola Chair in Engineering Statistics and Professor Jeff Wu has received the 2017 Box Medal Award from ENBIS, the European Network for Business and Industrial Statistics.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe Box Medal is named after George Box, the late British-American statistician who is considered one of the greatest statistical minds of our time.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Coca-Cola Chair in Engineering Statistics and Professor Jeff Wu has received the 2017 Box Medal Award from ENBIS, the European Network for Business and Industrial Statistics."}],"uid":"28766","created_gmt":"2017-05-22 15:02:10","changed_gmt":"2021-06-21 20:41:18","author":"Shelley Wunder-Smith","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2017-05-22T00:00:00-04:00","iso_date":"2017-05-22T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"621780":{"id":"621780","type":"image","title":"Coca-Cola Chair in Engineering Statistics and Professor Jeff Wu","body":null,"created":"1558356066","gmt_created":"2019-05-20 12:41:06","changed":"1558356066","gmt_changed":"2019-05-20 12:41:06","alt":"Coca-Cola Chair in Engineering Statistics and Professor Jeff Wu","file":{"fid":"236847","name":"Einstein Lecture - Beijing_Square.jpg","image_path":"\/sites\/default\/files\/images\/Einstein%20Lecture%20-%20Beijing_Square.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Einstein%20Lecture%20-%20Beijing_Square.jpg","mime":"image\/jpeg","size":400363,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Einstein%20Lecture%20-%20Beijing_Square.jpg?itok=_o3mIb0Y"}}},"media_ids":["621780"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[{"id":"145","name":"Engineering"}],"keywords":[{"id":"7879","name":"Jeff Wu"},{"id":"426","name":"isye"},{"id":"174486","name":"Box Medal"},{"id":"174487","name":"ENBIS"},{"id":"172747","name":"spotlight"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:shelley.wunder-smith@isye.gatech.edu\u0022\u003EShelley Wunder-Smith\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EStewart School of Industrial \u0026amp; Systems Engineering\u003C\/p\u003E\r\n\r\n\u003Cp\u003E404.385.4745\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["shelley.wunder-smith@isye.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"621782":{"#nid":"621782","#data":{"type":"news","title":"WuFest: A Conference on Engineering Statistics and Related Topics","body":[{"value":"\u003Cp\u003EOn May 10-11, 2019, more than 100 statisticians and engineers, from both academia and industry, gathered at The Historic Academy of Medicine at Georgia Tech in honor of Coca-Cola Chair in Engineering Statistics and Professor C. F. Jeff Wu. WuFest, a conference on engineering statistics and related topics, was hosted by the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) and celebrated Wu\u0026rsquo;s impressive career and his 70\u003Csup\u003Eth\u003C\/sup\u003E birthday.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWu is an iconic figure in the field of engineering statistics. Throughout his career he has made fundamental contributions to the methodological and theoretical developments of a wide variety of statistical and application areas which include design and analysis of experiments (optimal, sequential, and factorial), computer experiments, robust parameter design, statistical computing, re-sampling methods, complex surveys, nonlinear least squares, and uncertainty quantification.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe conference brought together top scholars in these areas \u0026mdash; some of whom were advised by Wu during their Ph.D. studies \u0026mdash; from Asia, Europe, and the Americas to present their new research findings. WuFest also served as an opportunity for both speakers and attendees to collaborate and discuss their ideas and visions of emerging problems in their fields. Session topics included engineering statistics, statistical applications, design of experiments, fundamentals of experimentation and inference, optimal design, and uncertainty quantification.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;It was a great honor,\u0026rdquo; Wu said. \u0026ldquo;To see so many former students and colleagues that I respect at the conference was very special.\u0026rdquo; Wu is also thankful for the support of ISyE, Georgia Tech, and the WuFest planning committee.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOne of the many highlights of the conference for Wu was a talk given at the banquet dinner by Xiao-Li Meng, the Whipple V. N. Jones Professor of Statistics at Harvard University and the founding editor-in-chief of the \u003Cem\u003EHarvard Data Science Review\u003C\/em\u003E. In his talk entitled \u0026ldquo;Is Jeff Wu a Data Scientist?\u0026rdquo;, Meng deconstructed Wu\u0026rsquo;s famous 1997 lecture \u0026ldquo;Statistics = Data Science\u0026rdquo; in which Wu advocated that statistics be renamed data science. Wu\u0026rsquo;s family \u0026mdash; including both of his children, their spouses, and his granddaughter \u0026mdash; was also in attendance for the tribute.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Jeff is a true leader in the field of engineering statistics,\u0026rdquo; said Roshan Joseph, one of Wu\u0026rsquo;s ISyE colleagues and chair of the WuFest planning committee. \u0026ldquo;He has done impactful work in both theoretical and applied problems, and his impact has multiplied through the work of his students, who have published more than 1,800 papers to date (without Wu being a co-author) in statistics and engineering.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWu\u0026rsquo;s professional achievements are unmatched. He is a member of both the National Academy of Engineering (2004) and Academia Sinica (2000). His is also a fellow of the Institute for Operations Research and the Management Sciences, the American Society for Quality, the Institute of Mathematical Statistics, and the American Statistical Association. Wu has also won numerous awards, including the Committee of Presidents of Statistical Societies (COPSS) Presidents Award in 1987, the Deming Lecture Award by American Statistical Association in 2012, the Fisher Lecture Award by COPSS in 2011, the Shewhart Medal by the American Society of Quality in 2008, the Pan Wenyuan Technology Award (Taiwan) in 2008, the Box Medal by the European Network for Business and Industrial Statistics in 2018, and the inaugural Akaike Memorial Lecture Award in 2017 (Japan).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWu\u0026rsquo;s work is widely cited in professional journals and magazines. He has served as editor or associate editor for several major statistical journals and has published more than 175 research articles in peer review journals. He has supervised 49 Ph.D. students, out of which 21 are fellows of professional societies, and he has almost 200 \u0026ldquo;grand graduate students\u0026rdquo; that have been supervised by his former students.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EMore than 100 statisticians and engineers, from both academia and industry, gathered at Georgia Tech in honor of Coca-Cola Chair in Engineering Statistics and Professor Jeff Wu.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"More than 100 statisticians and engineers, from both academia and industry, gathered at Georgia Tech in honor of Coca-Cola Chair in Engineering Statistics and Professor Jeff Wu."}],"uid":"28766","created_gmt":"2019-05-20 12:45:07","changed_gmt":"2019-05-20 12:46:53","author":"Shelley Wunder-Smith","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-05-20T00:00:00-04:00","iso_date":"2019-05-20T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"621780":{"id":"621780","type":"image","title":"Coca-Cola Chair in Engineering Statistics and Professor Jeff Wu","body":null,"created":"1558356066","gmt_created":"2019-05-20 12:41:06","changed":"1558356066","gmt_changed":"2019-05-20 12:41:06","alt":"Coca-Cola Chair in Engineering Statistics and Professor Jeff Wu","file":{"fid":"236847","name":"Einstein Lecture - Beijing_Square.jpg","image_path":"\/sites\/default\/files\/images\/Einstein%20Lecture%20-%20Beijing_Square.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Einstein%20Lecture%20-%20Beijing_Square.jpg","mime":"image\/jpeg","size":400363,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Einstein%20Lecture%20-%20Beijing_Square.jpg?itok=_o3mIb0Y"}},"621781":{"id":"621781","type":"image","title":"Attendees and participants of WuFest","body":null,"created":"1558356119","gmt_created":"2019-05-20 12:41:59","changed":"1558356119","gmt_changed":"2019-05-20 12:41:59","alt":"Attendees and participants of WuFest","file":{"fid":"236848","name":"WuFest.JPG","image_path":"\/sites\/default\/files\/images\/WuFest.JPG","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/WuFest.JPG","mime":"image\/jpeg","size":549884,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/WuFest.JPG?itok=AMml9dtZ"}}},"media_ids":["621780","621781"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[{"id":"15144","name":"C.F. Jeff Wu"},{"id":"426","name":"isye"},{"id":"18651","name":"featured"},{"id":"167169","name":"statistics"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:laurie.haigh@isye.gatech.edu\u0022\u003ELaurie Haigh\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EH. Milton Stewart School of Industrial and Systems Engineering\u003C\/p\u003E\r\n\r\n\u003Cp\u003E404.385.4745\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["laurie.haigh@isye.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"621681":{"#nid":"621681","#data":{"type":"news","title":"The Intersection of Artificial Intelligence and Statistics: ML@GT Researchers Present 12 Papers at AISTATS","body":[{"value":"\u003Cp\u003EHeld in Naha, Okinawa, Japan, the \u003Ca href=\u0022https:\/\/www.aistats.org\/\u0022\u003E22\u003Csup\u003End\u003C\/sup\u003E International Conference on Artificial Intelligence and Statistics (AISTATS)\u003C\/a\u003E draws researchers from all over the world to present their latest findings in artificial intelligence, machine learning, statistics, and related areas. \u003Ca href=\u0022http:\/\/ml.gatech.edu\/\u0022\u003EThe Machine Learning Center at Georgia Tech\u003C\/a\u003E (ML@GT) researchers will present 12 papers at the 2019 conference, held April 16-18.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;AISTATS is an exciting conference that allows for engaging conversations and interactions at the intersection of machine learning and statistics. ML@GT is thrilled to be a part of this growing conference and we are looking forward to connecting with other researchers from around the world,\u0026rdquo; said ISyE\u0026#39;s David M. McKenney Family Early Career Professor \u003Cstrong\u003ESebastian Pokutta, \u003C\/strong\u003Eassociate director of ML@GT and a paper author.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EML@GT faculty members \u003Cstrong\u003ELe Song\u003C\/strong\u003E, \u003Cstrong\u003EByron Boots\u003C\/strong\u003E, and ISyE Associate Professor\u003Cstrong\u003E Negar Kiyavash\u003C\/strong\u003E are 2019 area chairs.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Tech\u0026rsquo;s 12 papers:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/1802.03692.pdf\u0022\u003ENearly Optimal Adaptive Procedure for Piecewise-Stationary Bandit: a Change-Point Detection Approach\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/1710.04740.pdf\u0022\u003ERobust Submodular Maximization: Offline and Online Algorithms\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/1810.02429.pdf\u0022\u003ERestarting Frank-Wolfe\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/1810.10667\u0022\u003ETruncated Back-propagation for Bilevel Optimization\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/1806.04642.pdf\u0022\u003EAccelerating Imitation Learning with Predictive Models\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/1810.00737.pdf\u0022\u003ERisk-Averse Stochastic Convex Bandit\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/1807.02290.pdf\u0022\u003EDifferentially Private Online Submodular Minimization\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/1710.04740\u0022\u003EStructured Robust Submodular Maximization: Offline and Online Algorithms\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/1811.02228.pdf\u0022\u003EKernel Exponential Family Estimation via Doubly Dual Embedding\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/abs\/1802.07372\u0022\u003EStochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/1903.01422.pdf\u0022\u003EDatabase Alignment with Gaussian Features\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/1806.05151.pdf\u0022\u003EOn Landscape of Lagrangian Function for Stochastic Search for Constrained Nonconvex Optimization\u003C\/a\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Tech will present 12 papers at the conference, including one by ISyE Associate Professor Sebastian Pokutta.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech will present 12 papers at the conference, including one by ISyE Associate Professor Sebastian Pokutta. "}],"uid":"28766","created_gmt":"2019-05-14 19:35:01","changed_gmt":"2019-05-14 19:46:04","author":"Shelley Wunder-Smith","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-04-15T00:00:00-04:00","iso_date":"2019-04-15T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"620358":{"id":"620358","type":"image","title":"AISTATS 2019 will be held in Okinawa, Japan where Georgia Tech researchers will present 12 papers.","body":null,"created":"1555077996","gmt_created":"2019-04-12 14:06:36","changed":"1555077996","gmt_changed":"2019-04-12 14:06:36","alt":"","file":{"fid":"236215","name":"AISTATS.jpg","image_path":"\/sites\/default\/files\/images\/AISTATS.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/AISTATS.jpg","mime":"image\/jpeg","size":301416,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/AISTATS.jpg?itok=yCFipcyk"}}},"media_ids":["620358"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[{"id":"173894","name":"ML@GT"},{"id":"167832","name":"Sebastian Pokutta"},{"id":"426","name":"isye"},{"id":"178856","name":"Negar Kiyavash"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:allie.mcfadden@cc.gatech.edu\u0022\u003EAllie McFadden\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMachine Learning Center\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["allie.mcfadden@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"589895":{"#nid":"589895","#data":{"type":"news","title":"Probability Theory and Statistics in High and Infinite Dimensions","body":[{"value":"\u003Cp\u003EThe \u003Ca href=\u0022http:\/\/www.statslab.cam.ac.uk\/%7Enickl\/Site\/2014.html\u0022 target=\u0022_blank\u0022\u003EProbability Theory and Statistics in High and Infinite Dimensions\u003C\/a\u003E conference will be held June 23-25, 2014 at the University of Cambridge, UK. It takes place on the occasion of Evarist Gin\u0026eacute;\u0026rsquo;s 70th birthday. It will attempt to reflect recent developments in the many areas that Evarist has transformed and worked on in his distinguished career: from probability in Banach spaces, empirical, chaos- and U-process theory to mathematical and nonparametric statistics.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOrganizers:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/d6.math.gatech.edu\/users\/vlad\u0022\u003EVladimir Koltchinskii\u003C\/a\u003E (Georgia Tech)\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/www.statslab.cam.ac.uk\/%7Enickl\/Site\/_.html\u0022 target=\u0022_blank\u0022\u003ERichard Nickl\u003C\/a\u003E (Cambridge)\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/stat.ethz.ch\/people\/geer\u0022 target=\u0022_blank\u0022\u003ESara van de Geer\u003C\/a\u003E (ETH Z\u0026uuml;rich)\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022http:\/\/www.stat.washington.edu\/jaw\/\u0022 target=\u0022_blank\u0022\u003EJon Weller\u003C\/a\u003E (Seattle)\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The Probability Theory and Statistics in High and Infinite Dimensions conference will be held June 23-25, 2014 at the University of Cambridge, UK."}],"uid":"34469","created_gmt":"2017-04-06 14:30:26","changed_gmt":"2017-04-06 14:30:26","author":"nmcleish3","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2014-04-18T00:00:00-04:00","iso_date":"2014-04-18T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1279","name":"School of Mathematics"}],"categories":[],"keywords":[{"id":"173647","name":"_for_math_site_"}],"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":""}},"231581":{"#nid":"231581","#data":{"type":"news","title":"Huo to Serve as Program Director of Statistics at National Science Foundation","body":[{"value":"\u003Cp\u003EProfessor Xiaoming Huo is on leave from the Stewart School of Industrial and Systems Engineering at Georgia Tech to serve as a program director of Statistics at National Science Foundation (NSF) starting August 12, 2013. \u0026nbsp;His initial appointment at NSF is for a year, with a possibility of one year extension. He will be reviewing proposals, and making funding decisions on behalf of NSF. Huo will return to Georgia Tech regularly to maintain some of his research and education projects. \u0026nbsp;He will also be directing a newly created program called Computational and Data-enabled Science and Engineering. NSF is a United States government agency that supports fundamental research and education in all the non-medical fields of science and engineering, and it is a great place to observe the splendid spectrum of scientific frontier.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u201cI am excited about this opportunity to serve the community as well as the general public,\u201d said Huo. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003EHuo received the B.S. degree in mathematics from the University of Science and Technology, China, in 1993, and the M.S. degree in electrical engineering and the Ph.D. degree in statistics from Stanford University, Stanford, CA, in 1997 and 1999, respectively. Since August 2006, he has been an Associate Professor with the School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta. He represented China in the 30th International Mathematical Olympiad (IMO), which was held in Braunschweig, Germany, in 1989, and received a golden prize.\u003C\/p\u003E\u003Cp\u003EHis research interests include statistical theory, data mining, and issues related to big data. He has made numerous contributions on topics such as sparse representation, wavelets, and statistical problems in detectability. His papers appeared in top journals, and some of them are highly cited. He is a senior member of IEEE since May 2004. He was a Fellow of IPAM in September 2004. He won the Georgia Tech Sigma Xi Young Faculty Award in 2005. His work has led to an interview by Emerging Research Fronts in June 2006 in the field of Mathematics - every two months, one paper is selected.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EProfessor Xiaoming Huo to serve as a program director of Statistics at National Science Foundation for one year.\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":"","uid":"27868","created_gmt":"2013-08-26 08:50:57","changed_gmt":"2016-10-08 03:14:46","author":"Lizzie Millman","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2013-08-26T00:00:00-04:00","iso_date":"2013-08-26T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"231561":{"id":"231561","type":"image","title":"Professor Xiaoming Huo","body":null,"created":"1449243602","gmt_created":"2015-12-04 15:40:02","changed":"1475894906","gmt_changed":"2016-10-08 02:48:26","alt":"Professor Xiaoming Huo","file":{"fid":"197562","name":"huo_xiaoming_-_bust.jpg","image_path":"\/sites\/default\/files\/images\/huo_xiaoming_-_bust_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/huo_xiaoming_-_bust_0.jpg","mime":"image\/jpeg","size":1009545,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/huo_xiaoming_-_bust_0.jpg?itok=3bfAo1Ay"}}},"media_ids":["231561"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[{"id":"134","name":"Student and Faculty"}],"keywords":[{"id":"1191","name":"industrial engineering"},{"id":"363","name":"NSF"},{"id":"3503","name":"xiaoming huo"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:barbara.christopher@isye.gatech.edu\u0022\u003E\u003Cstrong\u003EBarbara Christopher\u003C\/strong\u003E\u003C\/a\u003E\u003Cbr \/\u003EIndustrial and Systems Engineering\u003Cbr \/\u003E\u003Cstrong\u003E404.385.3102\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"email":["bchristopher@isye.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"329741":{"#nid":"329741","#data":{"type":"news","title":"Georgia Tech\u2019s Statistics and Operational Research Programs among Top Five in the 2014 QS World University Ranking","body":[{"value":"\u003Cp\u003EGeorgia Tech\u2019s statistics and operational research programs have ranked fifth in the\u0026nbsp;\u003Ca href=\u0022http:\/\/www.theguardian.com\/higher-education-network\/ng-interactive\/2014\/sep\/09\/-sp-qs-world-university-rankings-2014-statistics\u0022 target=\u0022_blank\u0022\u003E\u003Cem\u003EQS World University\u003C\/em\u003E\u0026nbsp;Ranking\u003C\/a\u003E\u0026nbsp;for 2014 and is the only program at Georgia Tech in the top 10. The QS World University Ranking lists the top universities in the world for statistics and operational research.\u003C\/p\u003E\u003Cp\u003EThe programs\u0027 principal homes are in the Stewart School of Industrial \u0026amp; Systems Engineering (ISyE) and are jointly affiliated with the School of Mathematics.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u201cThe OR program in ISyE, especially the optimization component, has been well recognized internationally and viewed as the crown jewel of ISyE. Statistics received a big boost about 11 years ago and has quickly built its strength to reach international acclaim. ISyE is unique in that it is one of the only departments or schools in the country\u0026nbsp;that has major programs in both operations research (OR) and statistics in the same unit,\u201d commented Professor George Nemhauser, ISyE\u2019s A. Russell Chandler Chair, who leads ISyE\u2019s OR area.\u003C\/p\u003E\u003Cp\u003EProfessor Jeff Wu, ISyE\u2019s Coca-Cola Chair in Engineering Statistics, who leads statistics area added, \u201cBoth programs take pride in having done innovative and high impact research and also in educating a generation of doctoral students who have taken major positions in academia and industry. The synergy between the two disciplines is critical to\u0026nbsp;the important emerging field of big data analytics in which we plan to play a major role.\u201d\u003C\/p\u003E\u003Cp\u003EGeorgia Tech is in good company in this ranking; the top five are Stanford University, Massachusetts Institute of Technology, University of California at Berkeley, Harvard University, and the Georgia Institute of Technology.\u003C\/p\u003E\u003Cp\u003E\u0022Georgia Tech\u0027s statistics programs are highly regarded because of the efforts of many world-class faculty members working in a variety of areas, ranging from the theoretical and mathematical aspects through applications to engineering, science, and computing,\u0022 said Doug Ulmer, chair of the School of Mathematics.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Tech\u2019s statistics and operational research programs have ranked fifth in the\u0026nbsp;\u003Ca href=\u0022http:\/\/www.theguardian.com\/higher-education-network\/ng-interactive\/2014\/sep\/09\/-sp-qs-world-university-rankings-2014-statistics\u0022 target=\u0022_blank\u0022\u003E\u003Cem\u003EQS World University\u003C\/em\u003E\u0026nbsp;Ranking\u003C\/a\u003E\u0026nbsp;for 2014. The QS World University Ranking lists the top universities in the world for statistics and operational research.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech\u2019s statistics and operational research programs have ranked fifth in the QS World University Ranking for 2014."}],"uid":"27868","created_gmt":"2014-09-30 08:50:38","changed_gmt":"2016-10-08 03:05:45","author":"Lizzie Millman","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2014-09-30T00:00:00-04:00","iso_date":"2014-09-30T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"329801":{"id":"329801","type":"image","title":"George Nemhauser, A. Russell Chandler lll Chair and Institute Professor, and Jeff Wu,Coca-Cola Chair in Engineering Statistics and Professor","body":null,"created":"1449245090","gmt_created":"2015-12-04 16:04:50","changed":"1475895041","gmt_changed":"2016-10-08 02:50:41","alt":"George Nemhauser, A. Russell Chandler lll Chair and Institute Professor, and Jeff Wu,Coca-Cola Chair in Engineering Statistics and Professor","file":{"fid":"200321","name":"img_9168edited.jpg","image_path":"\/sites\/default\/files\/images\/img_9168edited_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/img_9168edited_0.jpg","mime":"image\/jpeg","size":5853167,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/img_9168edited_0.jpg?itok=95hy1tup"}}},"media_ids":["329801"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[{"id":"134","name":"Student and Faculty"}],"keywords":[{"id":"4742","name":"George Nemhauser"},{"id":"426","name":"isye"},{"id":"104991","name":"operational research"},{"id":"564","name":"operations research"},{"id":"105001","name":"qs world ranking"},{"id":"167169","name":"statistics"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:barbara.christopher@isye.gatech.edu\u0022\u003E\u003Cstrong\u003EBarbara Christopher\u003C\/strong\u003E\u003C\/a\u003E\u003Cbr \/\u003EIndustrial and Systems Engineering\u003Cbr \/\u003E\u003Cstrong\u003E404.385.3102\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"email":["bchristopher@isye.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"50024":{"#nid":"50024","#data":{"type":"news","title":"Kvam\u0027s recent book offers new approach to nonparametric statistics","body":[{"value":"\u003Cp\u003EIn \u003Cem\u003ENonparametric Statistics with Applications to Science and Engineering\u003C\/em\u003E, \u003Cstrong\u003EPaul H. Kvam\u003C\/strong\u003E and \u003Cstrong\u003EBrani Vidakovic\u003C\/strong\u003E offer a new approach to studying nonparametric statistics. \u003C\/p\u003E\n\u003Cp\u003EUnhappy with the traditional books on the topic, Kvam and Vidakovic wrote the text to suit diverse groups of students with mathematical, programming, and statistical backgrounds. Their book is largely intended for use in graduate courses and as a reference text. \n\u003C\/p\u003E\n\u003Cp\u003EInterspersed with photographs and amusing biographical comments about statisticians, the book successfully provides a balance of the formal and informal. Kvam and Vidakovic include basic background information in order for the reader to effectively learn and apply methods of nonparametric analysis. \n\u003C\/p\u003E\n\u003Cp\u003EThe bulk of the chapters consist of both Bayesian and Order statistics, various tests and experiments, estimation techniques, algorithms, and statistical learning. The last sections offer an overview of MATLAB, an interactive environment that allows the user to perform computational tasks and create graphical output, and WinBUGS, software used for constructing Bayesian statistical models and evaluating them using MCMC methodology.\n\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EPaul H. Kvam\u003C\/strong\u003E is a Professor at the Institute\u0027s Stewart School of Industrial and Systems Engineering. He has been an integral member of ISyE faculty since 1995. Dr. Kvam holds a PhD in Statistics from the University of California, Davis and is a fellow of the American Statistical Association. He has published over 50 articles in peer-reviewed journals in statistics and engineering.\n\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EBrani Vidakovic \u003C\/strong\u003Eis a Professor at both the Georgia Tech\u0027s Coulter Department of Biomedical Engineering and Emory University\u0027s Department of Biostatistics. Dr. Vidakovic holds a Ph.D. in Statistics from Purdue University. He is a member of the American Statistical Association, Institute of Mathematical Statistics, and the International Society for Bayesian Analysis. \n\u003C\/p\u003E\n\u003Cp\u003E\u003Cem\u003ENonparametric Statistics with Applications to Science and Engineering \u003C\/em\u003Ewas published by John Wiley \u0026amp; Sons, Inc., Hoboken, New Jersey, in 2007.\u003C\/p\u003E\n\u003Cp\u003E\u003C\/p\u003E\n\u003Cp\u003E\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"In Nonparametric Statistics with Applications to Science and Engineering, Paul H. Kvam and Brani Vidakovic offer a new approach to studying nonparametric statistics.","format":"limited_html"}],"field_summary_sentence":[{"value":"Kvam\u0027s recent book offers new approach to nonparametric statisti"}],"uid":"27279","created_gmt":"2008-04-03 00:00:00","changed_gmt":"2016-10-08 03:03:53","author":"Barbara Christopher","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2008-04-03T00:00:00-04:00","iso_date":"2008-04-03T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[{"id":"129","name":"Institute and Campus"},{"id":"134","name":"Student and Faculty"}],"keywords":[{"id":"7980","name":"industrical and systems engineering"},{"id":"426","name":"isye"},{"id":"7979","name":"nonparametric statistics"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cstrong\u003EBarbara Christopher\u003C\/strong\u003E\u003Cbr \/\u003EIndustrial and Systems Engineering\u003Cbr \/\u003E\u003Ca href=\u0022http:\/\/www.gatech.edu\/contact\/index.html?id=bt3\u0022\u003EContact Barbara Christopher\u003C\/a\u003E\u003Cbr \/\u003E\u003Cstrong\u003E404.385.3102\u003C\/strong\u003E","format":"limited_html"}],"email":["bchristopher@isye.gatech.edu"],"slides":[],"orientation":[],"userdata":""}}}