Dr. Medford is interested in leveraging materials informatics, statistics, and machine learning to maximize the practical impact of fundamental atomic-scale simulations in the field of surface science and catalysis. His research areas include heterogeneous catalysis, oxide surface chemistry, density functional theory, kinetic models, uncertainty quantification, and Bayesian optimization and inference.

Agata Rozga is a psychologist with expertise and 13 years of experience forging a new interdisciplinary research area at the intersection of computing and psychology called computational behavioral science. The research vision is to transform the measurement, analysis, and understanding of health-related behaviors by leveraging advances in sensing, wearable and mobile technologies, and computational analysis methods. The ultimate goal is to develop tools that can lead to better detection, monitoring, and treatment of a variety of chronic health conditions.

One key area Dr. Rozga’s research has focused on is understanding early trajectories and predictors of social communication in children diagnosed with Autism Spectrum Disorder. In her most recent work, she is applying novel computational methods to longitudinal measures of communication behavior to understand different pathways to language in autism, including failure to acquire spoken language by age 5. Dr. Rozga’s research has recently expanded to include a focus on Mild Cognitive Impairment, with an eye toward developing novel AI-based systems to help monitor cognitive and functional decline in everyday activities, to deliver appropriate in-situ supports, and to support care networks.

Dr. Rozga serves as the Director of Translational Research for the Georgia Tech-led NSF National AI Institute for Collaborative Assistance and Responsive Interaction for Networked Groups (AI-CARING), and as the Programs and Research Director for the Technology Core of the Cognitive Empowerment Program at the Emory Brain-Health Center. She was previously the Head of Product for Diligent Robotics, https://www.diligentrobots.com/.

Peter Swire, J.D., is Associate Director of Policy for the Institute for Information Security & Privacy. Swire has been a privacy and cyberlaw scholar, government leader, and practitioner since the rise of the Internet in the 1990's. In 2013, he became the Nancy J. and Lawrence P. Huang Professor of Law and Ethics at the Georgia institute of Technology. Swire teaches in the Scheller College of Business, with appointments by courtesy with the College of Computing and School of Public Policy. He is senior counsel with the law firm of Alston & Bird LLP. Swire served as one of five members of President Obama's Review Group on Intelligence and Communications Technology. Prior to that, he was co-chair of the global Do Not Track process for the World Wide Web Consortium. He is a senior fellow with the Future of Privacy Forum, and a policy fellow with the Center for Democracy and Technology. Under President Clinton, Swire was the chief counselor for privacy in the U.S. Office of Management and Budget -- the only person to date to have U.S. government-wide responsibility for privacy policy. In that role, his activities included being White House coordinator for the HIPAA medical privacy rule, chairing a White House task force on how to update wiretap laws for the Internet age, and helping negotiate the U.S.-E.U. Safe Harbor agreement for trans-border data flows.Under President Obama, he was special assistant to the President for economic policy. Swire is author of five books and numerous scholarly papers. He has testified often before the Congress, and been quoted regularly in the press. He has served on privacy and security advisory boards for companies including Google, IBM, Intel, and Microsoft, as well as a number of start-ups. Swire graduated from Princeton University, summa cum laude, and the Yale Law School, where he was an editor of the Yale Law Journal.

We are currently witnessing the birth of a new branch of astrophysics: high-energy astrophysics. With neutrinos we can study the high-energy Universe and peer into environments from where electromagnetic radiation can't escape. The IceCube neutrino observatory is a detector in operation at the geographic south pole. IceCube discovered, in 2013, an extragalactic flux of astrophysical neutrinos. Even though IceCube has identified two neutrino candidate sources: TXS 0506+056 (in 2018) and NGC 1068 (in 2022), the class of objects responsible for the astrophysical flux have not been unequivocally identified. Both these galaxies have Active Nuclei in which a supermassive black hole is being fed material via an accretion disk. Interestingly they are very different looking objects. TXS 0506+056 was seen with two flares of neutrinos and NGC 1068 is steady. TXS 0506+056 is seen mostly in ~50-200 TeV neutrinos, whereas NGC 1068 is seen in 1.5 to 15 TeV neutrinos. NGC 1068 is in our "neighboorhood" but TXS 0506+056 is very far away. 

The Taboada group uses IceCube data to search for astrophysical neutrino sources. Ignacio Taboada is the current spokesperson of the IceCube collaboration.

Youjiang Wang joined Georgia Tech faculty in 1989. His research interests include mechanics of composites, yarns, fabrics, and geotextiles; manufacturing processes and characterization of fibers, textiles and textile structural composites; and fiber recycling. Wang is a registered Professional Engineer in the State of Georgia, and a Fellow of ASME.

Valerie Thomas is the Anderson-Interface Chair of Natural Systems and Professor in the H. Milton School of Industrial and Systems Engineering, with a joint appointment in the School of Public Policy. 

Dr. Thomas's research interests are energy and materials efficiency, sustainability, industrial ecology, technology assessment, international security, and science and technology policy. Current research projects include low carbon transportation fuels, carbon capture, building construction, and electricity system development. Dr. Thomas is a Fellow of the American Association for the Advancement of Science, and of the American Physical Society. She has been an American Physical Society Congressional Science Fellow, a Member of the U.S. EPA Science Advisory Board, and a Member of the USDA/DOE Biomass Research and Development Technical Advisory Committee. 

She has worked at Princeton University in the Princeton Environmental Institute and in the Center for Energy and Environmental Studies, and at Carnegie Mellon University in the Department of Engineering and Public Policy.

Dr. Thomas received a B. A. in physics from Swarthmore College and a Ph.D. in theoretical physics from Cornell University.

Kamran Paynabar is the Fouts Family Early Career Professor and Associate Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. He received his B.Sc. and M.Sc. in Industrial Engineering from Iran in 2002 and 2004, respectively, and his Ph.D. in Industrial and Operations Engineering from The University of Michigan in 2012. He also holds an M.A. in Statistics from The University of Michigan. His research interests comprise both applied and methodological aspects of machine-learning and statistical modeling integrated with engineering principles. He is a recipient of the INFORMS Data Mining Best Student Paper Award, the Best Application Paper Award from IIE Transactions, the Best QSR refereed paper from INFORMS, and the Best Paper Award from POMS. He has been recognized with the Georgia Tech campus level 2014 CETL/BP Junior Faculty Teaching Excellence Award and the Provost Teaching and Learning Fellowship. He served as the chair of QSR of INFORMS, and the president of QCRE of IISE.

Milton Mueller is an internationally prominent scholar specializing in the political economy of information and communication. The author of seven books and scores of journal articles, his work informs not only public policy but also science and technology studies, law, economics, communications, and international studies. His books Networks and States: The global politics of Internet governance (MIT Press, 2010) and Ruling the Root: Internet Governance and the Taming of Cyberspace (MIT Press, 2002) are acclaimed scholarly accounts of the global governance regime emerging around the Internet. Mueller’s research employs the theoretical tools of institutional economics, STS and political economy, as well as historical, qualitative and quantitative methods. Mueller’s prominence in scholarship is matched by his prominence in policy practice. He is the co-founder and co-director of the Internet Governance Project (IGP), a policy analysis center for global Internet governance. Since its founding in 2004, IGP has played a prominent role in shaping global Internet policies and institutions such as ICANN and the Internet Governance Forum. He has participated in proceedings and policy development activities of ICANN, the International Telecommunications Union (ITU), the National Telecommunications and Information Administration (NTIA) and regulatory proceedings in the European Commission, China, Hong Kong and New Zealand. He has served as an expert witness in prominent legal cases related to domain names and telecommunication policy. He was recently elected to the advisory committee of the American Registry for Internet Numbers (ARIN), and appointed in 2014 to the IANA Stewardship Coordination Group. Mueller has also been a practical institution-builder in the scholarly world, where he led the creation of the Global Internet Governance Academic Network (GigaNet), an international association of scholars.

Shreyas Kousik is an assistant professor in the George W. Woodruff School of Mechanical Engineering. Previously, Shreyas was a postdoctoral scholar at Stanford University, working in the ASL under Prof. Marco. Kousik completed a postdoc with Prof. Grace Gao in the NAV Lab. He received his Ph.D. in Mechanical Engineering at the University of Michigan, advised by Prof. Ram Vasudevan in the ROAHM Lab and received his undergraduate degree in Mechanical Engineering at Georgia Tech, advised by Prof. Antonia Antoniou.

Kousik’s research is focused on guaranteeing safety in autonomy via collision avoidance methods for robots. His lab’s goal is to translate safety in math to safety on real robots by exploring ways to model uncertainty from autonomous perception and estimation systems and ensure that these models are practical for downstream planning and control tasks