Year of AI
2024 is the Year of AI at UT Austin
As artificial intelligence transforms our world, UT Austin is navigating the dynamic intersection of technology and society with strategic focus. Our commitment to advancing AI catapults us to the forefront of global advancements, reaching beyond the Forty Acres to revolutionize education, address society’s most pressing needs and redefine the boundaries of possibility.
At UT, AI is more than a field of study; it’s a force driving creative collaborations, groundbreaking research and the development of future leaders poised to navigate the ever-evolving landscape.
If you are seeking expertise on other subjects, please call University Media Relations at 512-471-3151 or consult our general Media Experts Guide.
Artificial Intelligence
Suzanne Barber
Professor
, Chandra Department of Electrical and Computer Engineering
+1 512 656 6152, sbarber@identity.utexas.edu
Dr. Suzanne Barber is the AT&T Endowed Professor in Engineering and Director of The Center for Identity at The University of Texas. The mission of the Center is to deliver high-quality discoveries, applications, education and outreach in identity management, privacy and security. Formerly, Dr. Barber served as Director of Software Engineering at The University of Texas at Austin. She is published in over 300 peer-reviewed journals in the areas of cyber-trust, cyber-security, agent-based systems, and software engineering. Her research has been supported by the Defense Advance Research Projects Agency, National Science Foundation, Office of Naval Research, National Cancer Institute, U.S. Congress, the State of Texas, and numerous corporate organizations. Dr. Barber has invented and commercialized core technologies that deliver new levels of visibility, knowledge discovery and collaboration among distributed stakeholders, as well as trusted online transactions.
Dr. Barber currently serves as a member of the U.S. Department of Homeland Securitys (DHS) Data Privacy and Integrity Advisory Committee, appointed by Secretary of Homeland Security Napolitano, offering guidance to the DHS Chief Privacy Officer.
Chandra R Bhat
Professor
, Fariborz Maseeh Department of Civil, Architectural and Environmental Engineering
+1 512 471 4535, bhat@mail.utexas.edu
Good Systems Executive Team Member
Joe J. King Endowed Chair in Engineering, Civil, Architectural, and Environmental Engineering
Cockrell School of Engineering
Areas of Expertise:
- Automation
- Emerging mobility technologies: AVs, EVs, connected vehicles, micromobility
- AI and transportation safety and equity
- E-commerce impacts on land-use and travel demand
Kory Bieg
Associate Dean of Academic Affairs
, School of Architecture
, bieg@utexas.edu
Kory Bieg is an Associate Professor of Architecture at The University of Texas at Austin. He received his Master of Architecture from Columbia University and is a registered architect in the states of California and Texas. Since 2013, he has served as Chair of the TxA Emerging Design + Technology conference, and co-Director of TEX-FAB Digital Fabrication Alliance. He has served on the Board of SXSW Eco Place by Design and the Association for Computer Aided Design in Architecture.
In 2005, Kory Bieg founded OTA+, an architecture, design, and research office that specializes in the development and use of current, new, and emerging digital technologies for the design and fabrication of buildings, building components, and experimental installations. OTA+ uses current design software and CNC machine tools to both generate and construct conceptually rigorous and formally unique design proposals.
Media Contact: Kelsey Stine, kelsey.stine@austin.utexas.edu, 512-471-0154
Joydeep Biswas
Associate Professor
, Department of Computer Science
, College of Natural Sciences
, joydeepb@cs.utexas.edu
Joydeep Biswas' research areas include perception, planning, and failure recovery for autonomous mobile robots. These topics support his goal of having autonomous service mobile robots deployed on a campus to city scale, both indoors and outdoors, in real world human environments, performing assistive tasks accurately and robustly on demand, over deployments spanning years. He is most interested in tackling research problems that will directly improve long-term autonomy on real world robots deployed in human environments. Prior to joining UT Austin, Joydeep was an Assistant Professor in the College of Information and Computer Sciences at University of Massachusetts Amherst. He earned his PhD in Robotics from Carnegie Mellon University in 2014, and his B.Tech in Engineering Physics from the Indian Institute of Technology Bombay in 2008.
Media Contact: Christine Sinatra, christine.sinatra@austin.utexas.edu, 512-471-4641
Swarat Chaudhuri
Professor
, Department of Computer Science
, College of Natural Sciences
, swarat@cs.utexas.edu
Dr. Swarat Chaudhuri works in the intersection of formal methods and artificial intelligence (AI). He received his bachelor of technology in computer science from the Indian Institute of Technology Kharagpur. He completed a doctorate in philosophy in computer science at the University of Pennsylvania. Dr. Chaudhuri was previously a faculty member at Pennsylvania State University and Rice University, has taught a wide range of undergraduate and graduate courses on computer science, and has a long track record of federally funded research. His accolades include an NSF CAREER award, a Google Research Award, the ACM SIGPLAN John Reynolds Doctorate Dissertation Award, and multiple distinguished paper awards.
His research vision is to build a new generation of AI systems that are designed from the ground up with the goals of reliability, transparency, and security. He seeks to realize this vision through a synthesis of ideas from programming languages, formal methods, and machine learning.
He is a member of UT Austin's Programming Languages and Formal Methods group, a core faculty member in UT's Machine Learning Laboratory, and an affiliate of Texas Robotics.
Media Contact: Christine Sinatra, christine.sinatra@austin.utexas.edu, 512-471-4641
Georgios-Alex Dimakis
Professor
, Chandra Department of Electrical and Computer Engineering
+1 510 388 1905, dimakis@austin.utexas.edu
Alex Dimakis is a UT Austin professor and the co-director of the National AI Institute on the Foundations of Machine Learning. He received his Ph.D. from UC Berkeley and the Diploma degree from NTU in Athens, Greece. He has published more than 150 papers and received several awards including the James Massey Award, NSF Career, a Google research award, the UC Berkeley Eli Jury dissertation award, and several best paper awards. He served as an Associate Editor for several journals, as an Area Chair for major Machine Learning conferences (NeurIPS, ICML, AAAI) and as the chair of the Technical Committee for MLSys 2021. He is an IEEE Fellow for contributions to distributed coding and learning. His research interests include Information Theory and Machine Learning.
Niall Gaffney
Director for Data Intensive Computing
, Texas Advanced Computing Center
+1 512 475 9504, ngaffney@tacc.utexas.edu
Niall Gaffney's background primarily revolves around the management and utilization of large inhomogeneous scientific datasets. Niall, who earned his B.A., M.A., and Ph.D. degrees in astronomy from The University of Texas at Austin, joined TACC in May 2013. Most of his focus has been on creating environments to foster better data practices from improving metadata, data processing, analysis, and reuse. He focuses on improving researchers' data practices to accelerate outcomes and better feed the Machine Learning and Artificial Intelligence applications which are becoming more broadly adopted in science and engineering research fields. Much of this stems from his 13 years as designer and developer for the archives at the Space Telescope Science Institute (STScI), which holds the data from the Hubble Space Telescope, Kepler, and James Webb Space Telescope missions. He was also a leader in developing the Hubble Legacy Archive. This project harvested the 20+ years of Hubble Space Telescope data to create some of the most sensitive astronomical data products available for open research. Before his work at STScI, Niall was worked as "the friend of the telescope" for the Hobby Eberly Telescope (HET) project at the McDonald Observatory in west Texas. This was the start of his work in planning experiments and then cataloging the data the HET produced.
Media Contact: Michael Wolman, michael.wolman@austin.utexas.edu, (512) 232-9151
Kristen L Grauman
Professor
, Department of Computer Science
, College of Natural Sciences
+1 512 471 9521, grauman@cs.utexas.edu
Kristen Grauman is a Full Professor in the Department of Computer Science where she leads the UT Computer Vision Group. Her research is in computer vision and machine learning. She is a Fellow of AAAI, an Alfred P. Sloan Research Fellow, and a recipient of the Presidential Early Career Award for Scientists and Engineers, the 2013 Computers and Thought Award, and several best paper awards. Prof. Grauman serves as Associate Editor-in-Chief for the IEEE Transactions on Pattern Analysis and Machine Intelligence. She was elected to the Academy of Distinguished Teachers in 2017, and received her B.A. from Boston College and her Ph.D. from MIT.
Media Contact: Christine Sinatra, christine.sinatra@austin.utexas.edu, 512-471-4641
Sherri R Greenberg
Professor of Practice
, Lyndon B Johnson School of Public Affairs
+1 512 471 8324, +1 512 656 6592, srgreenberg@austin.utexas.edu
Sherri Greenberg served for 10 years as a member of the Texas House of Representatives, completing her final term in January 2001. In 1999, she was appointed by the Speaker of the House to chair the House Pensions and Investments Committee, which oversees the Texas State Employee Retirement System, state employee health insurance program, Teacher Retirement System, local public employee retirement systems, and regulation of state investments and public securities. After the 1999 legislative session, the Speaker appointed her as chair of the Select Committee on Teacher Health Insurance.
Greenberg served two terms on the House Appropriations Committee, which is the House's budget writing committee, and served on the Appropriations Committee's Education and Major Information Systems Subcommittees. Other committee assignments included the House Economic Development Committee and the Welfare-to-Work Committee.
Greenberg's professional background is in public finance. She served as the Manager of Capital Finance for the City of Austin from 1985 to 1989, overseeing the City's debt management, capital budgeting, and capital improvement programs. Prior to that she worked as a Public Finance Officer for Standard & Poor's Corporation in New York, where she analyzed and assigned bond ratings to public projects across the country.
Greenberg has a B.A. in Government from UT Austin and an M.S. in Public Administration and Policy from the London School of Economics. At the LBJ School she teaches courses in public financial management, policy development, and public administration and management. Her teaching and research interests include public finance and budgeting, Texas state government, local government, health care, education, utilities, transportation, and campaigns and elections.
Media Contact: Tori Yu, victoriajyu@austin.utexas.edu, 512-232-4054
Benjamin G Gregg
Professor
, Department of Government
, College of Liberal Arts
+1 512 232 7274, bgregg@austin.utexas.edu
Currently visiting professor at the Uehiro Centre for Practical Ethics in the Department of Philosophy, University of Oxford. In 2019, returns to the University of Texas at Austin to teach social and political theory. Has served as visiting professor in China (Beijing), Japan (Tokyo and Hokkaido), Austria (Innsbruck and Linz), Germany (Frankfurt/Oder) and, this November, Brazil (Goiânia). In addition to over 40 peer-reviewed articles, has authored four books: Thick Moralities, Thin Politics (Duke UP, 2003), Coping in Politics with Indeterminate Norms (SUNY, 2003), Human-Rights as Social Construction (Cambridge UP, 2012), and The Human Rights State (U of Pennsylvania Press, 2016). At Oxford, is completing a book in bioethics, titled Human Nature as Cultural Design: The Political Challenge of Genetic Engineering. Has delivered invited lectures on this project in Western Europe, North and South America, and East Asia.
Media Contact: Daniel Oppenheimer, oppenheimer@utexas.edu, 512-475-9712
Justin W Hart
Assistant Professor of Practice
, Department of Computer Science
, College of Natural Sciences
, hart@cs.utexas.edu
Hart is an assistant professor of practice with the College of Natural Sciences and a postdoctoral fellow affiliated with the Building-Wide Intelligence Project and the Learning Agents Research Group under the supervision of professor Peter Stone in the Department of Computer Science. Hart teaches the Autonomous Robots stream of the Freshman Research Initiative and supervises the UT Austin Villa @ Home RoboCup@Home team. Currently Hart is working on semantic mapping, autonomous human-robot interaction, and artificial intelligence representations and architectures for service robots. He received his M.S., M.Phil, and Ph.D. from Yale University, his M.Eng from Cornell University, and his B.S. from West Virginia University.
He writes: "In particular, I am interested in themes in which we model human intelligence, leverage knowledge of human behavior, or take inspiration from human behavior. Additionally, I am interested in themes which I believe are likely to shape the direction of robotics and move robots into homes, workspaces, and public places, such as service robots. The dual goals of my research are to better understand human intelligence and to push the fields of artificial intelligence and robotics towards widespread robotic deployments that impact our everyday lives."
Media Contact: Christine Sinatra, christine.sinatra@austin.utexas.edu, 512-471-4641
Alexander Huth
Associate Professor
, Department of Computer Science
, College of Natural Sciences
, huth@cs.utexas.edu
Huth's research uses computational methods to model how the brain processes language and represents meaning. He is also interested in fMRI technology and data visualization.
His lab uses quantitative, computational methods to try to understand how the human brain processes the natural world. In particular, they are focused on understanding how the meaning of language is represented in the brain. Using fMRI, they record human brain responses while people listen to speech in the form of stories or podcasts. Then they build encoding models that predict those responses based on the audio and transcript of the stories. The best encoding models today use neural network language models to extract meaningful information from the stories. Their work uses encoding models to map how language is represented across the brain, investigates why neural network language models are so effective, and shows that they can even decode language from fMRI.
Media Contact: Christine Sinatra, christine.sinatra@austin.utexas.edu, 512-471-4641
Junfeng Jiao
Associate Professor
, School of Architecture
, jjiao@austin.utexas.edu
Junfeng Jiao is an assistant professor in the Community and Regional Planning program and founding director of Urban Information Lab at UTSOA. He received his PhD in Urban Design and Planning from the University of Washington.
His research focuses on using information technologies (GIS, GPS, Drone, smart phone, social media, wearable devices, etc) to quantify built environments and understand its impact on peoples behaviour (e.g. travel, physical, eating etc) and its health consequence. Specifically, he is interested in understanding how people react and reflect the built environments where they live, work, and play. He has investigated how built environments affect people's access to grocery stores, transit facilities, and bicycle infrastructures, and how people describe cities in cyber space through Twitter. He firstly coined the term of Transit Desert and developed various measurement methods. His intensive research on Transit and Food Deserts were widely reported by the Associated Press, Yahoo, MSN, NBC, NPR, USA today, Finance and Commerce, City Lab, The Conversation, Chicago Tribute, San Francisco Chronicle, LA Times, Seattle Times, Seattle Met, Dallas News, Houston Chronicle, Austin Statesman, Texas Tribune, Wired etc.
He has worked on projects funded by the NIH, USDOT, UT Austin, Intel, WSDOT, RWJF, and others. These works have been published in journals like Journal of Urban Planning and Development, Journal of Urban Design, Journal of Urban Technology, Land Use Policy, American Journal of Public Health, Journal of Transport and Land Use, and Journal of Public Transportation etc. He is the co-chair for Analytical Methods & Computer Applications track at the ACSP conference and on the editorial board of Transportation Research Part D, PLOS one, and AIMS Public Health. He published six book chapters through the Springer and Routledge.
Media Contact: Kelsey Stine, kelsey.stine@austin.utexas.edu, 512-471-0154
Adam R Klivans
Professor
, Department of Computer Science
, College of Natural Sciences
+1 512 471 9790, klivans@cs.utexas.edu
Adam Klivans is Director of the NSF AI Institute for Foundations of Machine Learning and the Machine Learning Laboratory. His research interests lie in machine learning and theoretical computer science, in particular, Learning Theory, Computational Complexity, Pseudorandomness, Limit Theorems, and Gaussian Space.
Media Contact: Christine Sinatra, christine.sinatra@austin.utexas.edu, 512-471-4641
Matthew A Lease
Professor
, School of Information
+1 512 471 9350, ml@utexas.edu
Lease is a researcher who combines artificial intelligence (AI) and human-computer interaction (HCI) techniques in the fields of crowdsourcing and human computation (HCOMP), information retrieval (IR), and natural language processing (NLP). He is also a faculty founder and leader of UT Austin's Good Systems, which is an eight-year, university-wide "moonshot" Grand Challenge aimed at designing responsible AI technologies. As part of Good Systems, Lease leads a six-year, seven-member faculty project that focuses on developing explainable AI techniques to combat disinformation.
One of Lease's ongoing projects is content moderation, which involves using automated, human-in-the-loop, and human-safe practices to curb disinformation, hate speech, and polarization online.
Lease has received three Early Career awards: from the Defense Advanced Research Projects Agency (DARPA), the National Science Foundation (NSF), and the Institute for Museum and Library Sciences (IMLS). He has also won several research awards, including Best Student Paper at the 2022 Conference on Information Systems and Technology (CIST), Best Student Paper at the 2019 European Conference for Information Retrieval (ECIR), and Best Paper at the 2016 AAAI Human Computation and Crowdsourcing (HCOMP) conference. Lease holds degrees in Computer Science from Brown University (PhD, MSc) and the University of Washington (BSc).
Media Contact: Keisha Brown, keisha.brown@ischool.utexas.edu, 512-471-2608
Roberto Martin-Martin
Assistant Professor
, Department of Computer Science
, College of Natural Sciences
, robertomm@cs.utexas.edu
Dr. Roberto Martin-Martin explores the intersection of robotics, computer vision, and machine learning. In his research, he integrates physical and optimal interactions with the environment as part of novel perception and learning procedures. This provides robots new versatile and robust skills to perform tasks in human unstructured environments like homes. He worked as Postdoctoral scholar at the Stanford Vision and Learning Lab with Fei-Fei Li and Silvio Savarese. Dr. Martin-Martin received his Ph.D. and master's degree from Technische Universität Berlin (TUB) working with Professor Oliver Brock, and his BSc. degree from Universidad Politécnica de Madrid.
He writes: "Im enthusiastic about robotics: creating machines that can perceive their environment to acquire task-relevant information about it, plan a course of action towards a desired new environment configuration, and execute the plan in a safe and robust manner, even under uncertainty and noisy actuation. We know a solution is possible just by looking at humans; understanding and getting inspired by human cognition through psychology and cognitive science is part of my methodology. In my research, I integrate artificial perception, planning, and control, and view them as learning problems. I develop solutions for simple skills such as pick-and-place, navigation, or door opening, and more complex tasks like cooking, assembling furniture, or mobile manipulation problems that combine navigation and manipulation."
Media Contact: Christine Sinatra, christine.sinatra@austin.utexas.edu, 512-471-4641
Rachel Davis Mersey
Interim Executive Vice President & Provost
, rdm@austin.utexas.edu
Rachel Davis Mersey is Associate Dean for Research for the Moody College of Communication, and also holds an appointment in the School of Journalism and Media where she is the Jesse H. Jones Centennial Professor. With more than a decade of experience in higher education and academic administration, she brings a passion for connecting scholarship and professional practice into grant-supported research and projects. She joins Moody College after serving at Northwesterns Medill School of Journalism, Media and Integrated Marketing Communications since 2008, most recently as associate dean for research and professor.
Mersey also held courtesy appointments in Northwesterns Weinberg College of Arts and Sciences political science department and the School of Education and Social Policy learning science department. As a fellow at the Northwestern Institute for Policy Research, Mersey successfully collaborated across disciplines including serving as a PI on an NSF-funded project, Systematic Content Analysis of Litigation EventS or SCALES, to leverage artificial intelligence to bring transparency to court records.
She is the author of two books. Mobile Disruptions, with co-authors in the U.S. and the Middle East, examines the state of and opportunity for mobile media innovations in the Gulf states. Can Journalism Be Saved? Rediscovering Americas Appetite for News, which is at the foundation of work she still does today, stands as a formative argument recasting local news efforts as community-driven initiatives.
Mersey is currently collaborating with colleagues to examine the community infrastructure variables that are correlated with healthy local media markets. She is involved with a number of different industry-relevant projects including the examination of factors of media engagement; audience development via social video, and augmented and virtual reality; and podcasting as a means to community building.
Previously, Mersey was a reporter at the Gannett-owned Arizona Republic, where she worked with azcentral.com and the NBC-affiliate. She holds a Ph.D. from the University of North Carolina at Chapel Hill.
Media Contact: Kathleen Harrison, ksharrison@utexas.edu, 512-232-3723
Risto P Miikkulainen
Professor
, Department of Computer Science
, College of Natural Sciences
+1 512 471 7316, +1 512 471 9571, risto@cs.utexas.edu
Risto Miikkulainen is a Professor of Computer Science at the University of Texas at Austin and AVP of Evolutionary Intelligence at Cognizant Technology Solutions. He received an M.S. in Engineering from the Helsinki University of Technology (now Aalto University) in 1986, and a Ph.D. in Computer Science from UCLA in 1990. His current research focuses on methods and applications of neuroevolution, as well as neural network models of natural language processing and vision, subdisciplines within artificial intelligence. He is an author of over 380 articles in these research areas.
Media Contact: Christine Sinatra, christine.sinatra@austin.utexas.edu, 512-471-4641
Raymond J Mooney
Professor
, Department of Computer Science
, College of Natural Sciences
+1 512 471 7316, +1 512 471 9558, mooney@cs.utexas.edu
In December 1987, Raymond Mooney completed his Ph.D. thesis under the direction of Prof. Gerald DeJong and then began as a faculty member in the Department of Computer Science at the University of Texas at Austin where he is enjoying the beginning of the fourth decade of a hopefully long academic career.
He is director of the Artificial Intelligence Laboratory and leads the Machine Learning Research Group.
Media Contact: Christine Sinatra, christine.sinatra@austin.utexas.edu, 512-471-4641
Stella S Offner
Associate Professor
, Department of Astronomy
, College of Natural Sciences
+1 512 471 3853, soffner@astro.as.utexas.edu
Prof. Offner's research focuses on understanding how stars like the Sun form by combining numerical simulations, observations and observational modeling. She is also interested in applying statistical techniques and machine learning to parse data and identify the physical characteristics of forming stars. She is a core faculty member in the Oden Institute for Computational Engineering and Science (specifically the Center for Scientific Machine Learning), and a member of the Center for Planetary Systems Habitability and the Machine Learning Laboratory.
Prof. Offner received her bachelor's degrees in physics and mathematics from Wellesley College in 2003 and completed a Ph.D. in physics at the University of California at Berkeley in 2009. From 2009-2012 she was an NSF Astronomy & Astrophysics prize postdoctoral fellow at the Harvard-Smithsonian Center for Astrophysics and a NASA Hubble prize postdoctoral fellow at Yale from 2012-2014. Before joining the astronomy faculty at UT Austin in 2017, she was an assistant professor at the University of Massachusetts Amherst.
Media Contact: Christine Sinatra, christine.sinatra@austin.utexas.edu, 512-471-4641
Jeeyun Oh
Associate Professor
, Stan Richards School of Advertising and Public Relations
, Moody College of Communication
+1 512 471 8134, jeeyunoh@utexas.edu
Jeeyun Oh is an associate professor in the Stan Richards School of Advertising and Public Relations at UT Austin. She received her Ph.D. in mass communications from The Pennsylvania State University. Her research focuses on how new media interfaces, affordances, and algorithms influence users cognitive and emotional processing of persuasive messages. Her experimental research has explored the potential of interactive media technologies to enhance user engagement and persuasion, by extending theories in social psychology, media effects, health/environmental communication, and human-computer interaction. Her work has been published in various journals across different disciplines, including the Journal of Communication, Human Communication Research, Communication Research, New Media & Society, Journalism & Mass Communication Quarterly, Science Communication, Health Communication, Psychology & Marketing, and Computers in Human Behaviors. She is a member of the editorial review board of Journal of Advertising.
Oh is currently investigating how new media users deal with the increasing autonomy of artificial intelligence technology (e.g., ChatGPT, smart devices/apps, social media algorithms) emotionally and cognitively by using interview, survey, and experimental methods. Emotional outcomes such as feelings of creepiness and cognitive outcomes like perceived personalization and privacy invasion are examined as the key variables that influence our sense of agency, empowerment, and wellbeing.
Media Contact: Mary Huber, mary.huber@austin.utexas.edu, 409-790-6902
Amy Pavel
Assistant Professor
, Department of Computer Science
, College of Natural Sciences
, apavel@cs.utexas.edu
Prior to joining UT Austin, Pavel was a Postdoctoral Fellow at Carnegie Mellon University and a Research Scientist at Apple. She obtained her Ph.D. from UC Berkeley. Her research in Human-Computer Interaction focuses on designing, building and evaluating new interactive systems driven by Artificial Intelligence. Her primary research goal is to make technology-mediated communication more efficient and accessible, especially for people with disabilities. She publishes her work at venues such as CHI, UIST and NAACL.
She writes: "As a systems researcher in Human-Computer Interaction, I embed machine learning technologies (e.g., Natural Language Processing) into new human interactions that I then deploy to test. Using my systems, remote content creators more effectively collaborate, video authors efficiently create accessible descriptions for blind users, and instructors help students to learn and retain key points. To inform future systems that capture what is important to domain experts and people with disabilities, I also conduct and collaborate on in-depth qualitative (e.g., AAC communication, memes) and quantitative studies (e.g., 360° Video, VR Saliency). My long term research goal is to make communication more effective and accessible."
Media Contact: Christine Sinatra, christine.sinatra@austin.utexas.edu, 512-471-4641
Loriene Roy
Professor Emeritus
, School of Information
, loriene@ischool.utexas.edu
Dr. Roy is enrolled on the White Earth Reservation, a member of the Pembina Band, Minnesota Chippewa (Ojibwe) Tribe. Many of her current projects involve working with Native American communities. She directs a reading promotion program (\"If I Can Read, I Can Do Anything\") at schools on reservations. And she is a partner in an inter-tribal effort to develop virtual museums of American Indian artifacts. Partners include the National Museum of the American Indian, the Heard Museum, Santa Clara (Pueblo) Day School and the Nay Tah Wahsh (Potawatomi) School in Hannahville, Michigan. She an her graduate students create virtual libraries for tribal colleges. She is also involved in international indigenous librarianship efforts. She additionally serves on the Steering Committee of ALA\'s Spectrum Initiative, a three-year $1.3 million scholarship program to increase the number of librarians from underrepresented groups, and she will be responsible for the longitudinal study of the 150 Spectrum Scholars. Her other interests are related to oral history, popular culture, early librarian education, public library architecture, collection development, American Indian literature, children\'s literature and reader\'s advisory for adult public library patrons. She is working wih a colleague on the development of an artificial intelligent agent recommender service for readers. For more information about Dr. Roy\'s research, read \"By the Book\" at http://www.utexas.edu/features/2006/reading/index.html.
Media Contact: Keisha Brown, keisha.brown@ischool.utexas.edu, 512-471-2608
Keri K Stephens
Professor
, Department of Communication Studies
, Moody College of Communication
+1 512 471 0554, keristephens@austin.utexas.edu
Dr. Keri Stephens is an expert in using technology to communicate during infrastructure-related crises and disasters and in the workplace. She has authored over 100 articles/book chapters, and her two most recent books are the national-level-award winning book New Media in Times of Crisis (2019, Routledge), and the two-time national-level award-winning book Negotiating Control: Organizations and Mobile Communication (2018, Oxford University Press).
Her research has received federal (e.g., NSF), state, industry, and international agency (e.g., Japan Science & Technology Agency) support. Her team recently authored the Texas Water Development Boards Flood Resource Guide for Community Officials in 2022, and they developed the Public Involvement Training for TxDOT in 2023. She is currently working on the Digital Risk Infrastructure Program (DRIP) for under-resourced Texas Communities.
She is a Professor in Organizational Communication Technology and is Co-Director of Technology, Information, & Policy Institute in the Moody College of Communication at The University of Texas at Austin. She has a BS in biochemistry from Texas A&M University, an MA and Ph.D. from The University of Texas at Austin, is a flood survivor (1978 Flood on the Clearfork of the Brazos River in Texas) and grew up in the rural Texas community of South Bend, TX.
Media Contact: Mary Huber, mary.huber@austin.utexas.edu, 409-790-6902
Peter H Stone
Professor
, Department of Computer Science
, College of Natural Sciences
+1 512 471 9796, pstone@cs.utexas.edu
Peter Stone is the founder and director of the Learning Agents Research Group (LARG) within the Artificial Intelligence Laboratory in the Department of Computer Science at The University of Texas at Austin, as well as associate department chair and Director of Texas Robotics. He was a co-founder of Cogitai, Inc. and is now Executive Director of Sony AI America.
His main research interest in AI is understanding how we can best create complete intelligent agents. He considers adaptation, interaction, and embodiment to be essential capabilities of such agents. He focuses mainly on machine learning, multiagent systems, and robotics. He researches topics that are inspired by challenging real-world problems. His AI applications have included robot soccer, autonomous bidding agents, autonomous vehicles, and human-interactive agents.
Media Contact: Christine Sinatra, christine.sinatra@austin.utexas.edu, 512-471-4641
Sharon Strover
Professor
, School of Journalism and Media
, Moody College of Communication
+1 512 471 6652, sharon.strover@austin.utexas.edu
Dr. Strover researches and teaches various topics related to communications and telecommunications, including courses on the Information Society, telecommunication policy, research methodology, and technology and culture classes. She also co-directs the Telecommunications and Information Policy Institute at the University.
Current research projects include examinations of telecommunications networks and policies, digital inclusion policies, AI and surveillance systems, Smart Cities, and telecommunications infrastructure in rural regions.
Media Contact: Mary Huber, mary.huber@austin.utexas.edu, 409-790-6902
Craig Watkins
Professor
, School of Journalism and Media
, Moody College of Communication
+1 512 471 4071, +1 512 471 6676, craig.watkins@austin.utexas.edu
S. Craig Watkins is the Ernest A. Sharpe Centennial Professor and the Executive Director of the IC² Institute at the University of Texas at Austin. His research focuses on the technical, social, and ethical implications of artificial intelligence. His research explores the challenges of deploying AI in the context of high stakes contexts like health care. For example, he was part of a multidisciplinary team of social scientists, psychologists, and computer scientists who prototyped a chatbot to support parents dealing with postpartum depression. Watkins is part of an NIH-funded project that is exploring the design of ethical AI to address the crisis of rising rates of suicide among youth, especially Black youth. His team is also probing an NIH dataset to understand how social determinants of health influence health outcomes and health disparities. Through his leadership at the IC2 Institute, Watkins is collaborating with the Dell Medical School and UT faculty to enhance the use of artificial intelligence to address health disparities.
Craig is an internationally recognized expert in media and technology systems and the author of six books and numerous articles and book chapters. His research explores, among other things, how technological innovation built the hip-hop economy (Hip Hop Matters), the social and behavioral implications of young peoples engagement with computer-mediated technologies (The Young and the Digital), the shifting contours of the digital divide (The Digital Edge), and the creative ways young people adopt technology to navigate a precarious society and economy (Dont Knock the Hustle). This work illuminates the nuanced ways in which structural inequalities influence the design, deployment, and adoption of computer-mediated systems leading to both systemic challenges and opportunities to enhance the human experience.
Watkins work has been profiled in places as varied as the Washington Post, The Atlantic, Newsweek, TIME, ESPN, and NPR, and featured at venues like SXSW, The Aspen Institute, The Boston Federal Reserve, New York Hall of Science, MITs Media Lab, The New York Times Dialogue on Race, and the Brene Brown podcast, Unlocking Us.
Media Contact: Mary Huber, mary.huber@austin.utexas.edu, 409-790-6902
Claus O Wilke
Professor
, Department of Integrative Biology
, College of Natural Sciences
+1 512 232 2459, wilke@austin.utexas.edu
Claus O. Wilke holds a Ph.D. in theoretical physics from the Ruhr-University Bochum, Germany, and he is currently the Jane and Roland Blumberg Centennial Professor in Molecular Evolution at The University of Texas at Austin. Wilke studies the evolution of viruses, and he has published nearly 200 scientific papers covering topics in computational biology, molecular evolution, protein biochemistry, and virology. He has also authored several popular R packages used for data visualization, such as cowplot and ggridges, and he is a contributor to the package ggplot2. In 2019, Wilke published the book Fundamentals of Data Visualization, which provides a concise introduction to effectively visualizing many different types of data sets.
Media Contact: Christine Sinatra, christine.sinatra@austin.utexas.edu, 512-471-4641
Kenneth W Wisian
Program Director
, Bureau of Economic Geology
, Jackson School of Geosciences
+1 512 471 2003, kenneth.wisian@utexas.edu
Ken Wisian, Ph.D., Major General USAF (retired), is Associate Director, Environmental Division, of the Bureau of Economic Geology, Jackson School of Geoscience, The University of Texas at Austin. He also holds appointments in the Center for Space Research and in the Aerospace and Engineering Mechanics Department, Cockrell School of Engineering, is a charter member of the Center for Planetary Systems Habitability at UT Austin and is a Fellow of the British Interplanetary Society. Previously, Dr. Wisian was a senior state executive responsible for disaster recovery, oil spill prevention and response, and coastal infrastructure and environmental protection for Texas.
Dr. Wisian is a geophysicist whose main research is geothermal systems for electricity generation. Other research interests include; infrastructure resiliency, disasters, autonomy/drones, applied gravity, planetary geology/space exploration and international relations. Dr. Wisian has published/presented work in subjects as diverse as geophysics, defense, artificial intelligence, crisis leadership and deep space exploration. Dr. Wisian holds a Ph.D. in Geophysics from Southern Methodist University, an M.S. in Strategic Studies from the US Army War College, an M.S. in Geology from Centenary College, and a B.A. in Physics from the University of Texas at Austin. He teaches or has taught; environmental geology, military history, leadership and currently teaches Life in the Universe.
Militarily, General Wisian, a navigator/bombardier, flew bombers, transports and fighters, is a graduate of the USAF Test Pilot School and commanded the 147th Reconnaissance Wing flying the MQ-1 Predator. General Wisian participated or lead military disaster response efforts for the Shuttle Columbia crash and multiple hurricanes. Ken is a graduate of the US Air Force Test Pilot School and has more than 70 hours of medium and high-risk test flights. General Wisian has combat time in Iraq, Afghanistan and the Balkans, and his medals include the Bronze Star and Air Medal.
Media Contact: Anton Caputo, anton.caputo@jsg.utexas.edu, 512-232-9623
Yuke Zhu
Assistant Professor
, Department of Computer Science
, College of Natural Sciences
, yukez@cs.utexas.edu
Dr. Yuke Zhu is a leading mind in robot vision and learning. Dr. Zhu received his masters and PhD from Stanford University. His doctoral thesis centers around closing the perception-action loop to make robot intelligence more generalized and applicable to less-controlled environments. As an undergraduate, he received dual degrees from Zhejiang University and Simon Fraser University. Dr. Zhus publications have won several awards and nominations, and his work has been covered by media outlets, such as MIT Technology Review and Stanford News. In addition, hes had research collaborations with Snap Research, Allen Institute for Artificial Intelligence, and DeepMind Technologies.
He writes: "My goal is to build intelligent algorithms for robots and embodied agents that reason about and interact with the real world. My research lies at the intersection of robotics, computer vision, and machine learning. I focus on developing methods and principles of perception and decision making to realize general-purpose robot autonomy in the wild."
Media Contact: Christine Sinatra, christine.sinatra@austin.utexas.edu, 512-471-4641
For more information, contact: University Communications, Office of the President, 512-471-3151.