Raphaël Pestourie

Raphaël Pestourie
rpestourie3@gatech.edu
CoC Profile Page

Raphaël Pestourie earned his Ph.D. in Applied Mathematics and an AM in Statistics from Harvard University in 2020. Prior to Georgia Tech, he was a postdoctoral associate at MIT Mathematics, where he worked closely with the MIT-IBM Watson AI Lab. Raphaël’s research focuses on scientific machine learning at the intersection of applied mathematics and machine learning and inverse design via scientific machine learning and large-scale electromagnetic design. 

Assistant Professor
Additional Research

Scientific Machine LearningInverse Design in Electromagnetism

IRI/Group and Role
Data Engineering and Science > Faculty
Data Engineering and Science
Matter and Systems > Affiliated Faculty
Energy > Research Community
University, College, and School/Department
Georgia Institute of Technology > College of Computing > School of Computer Science
Google Scholar
LinkedIn
Related Websites
Personal Website
Research Areas
Artificial Intelligence

Kamran Paynabar

Kamran Paynabar
kamran.paynabar@isye.gatech.edu
Departmental Bio

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.

Assistant Professor
Phone
404.385.3141
Office
Groseclose Building, Room 436
Additional Research
  • Aerospace
  • Artificial Intelligence
  • Automotive
  • Big Data Analytics
  • Biobased Materials
IRI/Group and Role
Manufacturing > Affiliated Faculty
Data Engineering and Science > Faculty
Data Engineering and Science > TRIAD Associate
Renewable Bioproducts > Affiliated Faculty
Manufacturing
Data Engineering and Science
Renewable Bioproducts
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Industrial Systems Engineering
Related Websites
Personal Website
Research Areas
Artificial Intelligence

Haesun Park

Haesun Park
hpark@cc.gatech.edu
Website

Dr. Haesun Park is a Regents' Professor and Chair in the School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia, U.S.A. She was elected as a SIAM Fellow in 2013 and IEEE Fellow in 2016 for her outstanding contributions in numerical computing, data analysis, and visual analytics. She was the Executive Director of Center for Data Analytics 2013-2015 and was the director of the NSF/DHS FODAVA-Lead (Foundations of Data and Visual Analytics) Center 2008-2014. She has published extensively in the areas of numerical computing, large-scale data analysis, visual analytics, text mining, and parallel computing. She was the conference co-chair for SIAM International Conference on Data Mining in 2008 and 2009 and an editorial board member of the leading journals in computational science and engineering such as IEEE Transactions on Pattern Analysis and Machine Intelligence, SIAM Journal on Matrix Analysis and Applications, and SIAM Journal on Scientific Computing. She was the plenary keynote speaker at major international conferences including SIAM Conference on Applied Linear Algebra in 1997 and 2015, and SIAM International Conference on Data Mining in 2011. Before joining Georgia Tech, she was a professor in Department of Computer Science and Engineering, University of Minnesota, Twin Cities 1987- 2005 and a program director in the Computing and Communication Foundations Division at the National Science Foundation, Arlington, VA, U.S.A., 2003 - 2005. She received a Ph.D. and an M.S. in Computer Science from Cornell University, Ithaca, NY in 1987 and 1985, respectively, and a B.S. in Mathematics from Seoul National University, Seoul, Korea in 1981 with the Presidential Medal for the top graduate.

Regents' Professor and Chair, School of Computational Science and Engineering
Additional Research

Bioinformatics; Computer Vision

IRI/Group and Role
Data Engineering and Science > Faculty
Sustainable Systems
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology > College of Computing > School of Computational Science and Engineering
Research Areas
Artificial Intelligence

Vidya Muthukumar

Vidya Muthukumar
vmuthukumar8@gatech.edu
ECE Profile Page

Vidya Muthukumar is an Assistant Professor in the School of Electrical and Computer Engineering and H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. Dr. Muthukumar’s broad interests are in game theory, online and statistical learning. She is particularly interested in designing learning algorithms that provably adapt in strategic environments, fundamental properties of overparameterized models, and the foundations of multi-agent decision-making.

Dr. Muthukumar received the B.Tech (with honors) degree from the Indian Institute of Technology, Madras and the Ph.D. degree in Electrical Engineering from University of California, Berkeley. She interned at IBM Research in the summer of 2018 as a Science for Social Good fellow. Before joining Georgia Tech, she spent a semester at the Simons Institute for the Theory of Computing as a research fellow for the program “Theory of Reinforcement Learning.” She is the recipient of an Amazon Research Award, NSF CAREER Award, Adobe Data Science Research Award, Simons-Berkeley Google Research Fellowship, and the UC Berkeley EECS Outstanding Course Development and Teaching Award.

Dr. Muthukumar has served/is serving as an Area Chair for COLT (2021-2024), NeurIPS (2023 and 2024), ALT 2024 and UAI 2024. She also co-organizes several mentorship workshops as part of the Learning Theory Alliance team, and organized the ITALT symposium in 2024.

Assistant Professor
Additional Research

Statistical signal processingGame theorySequential decision-making

IRI/Group and Role
Data Engineering and Science > Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering
Georgia Institute of Technology > College of Engineering > School of Industrial Systems Engineering
Google Scholar
Related Websites
Personal Website
Research Areas
Artificial Intelligence

Ratan Murty

Ratan Murty
ratan.murty@psych.gatech.edu
Personal Website

Ratan obtained his PhD in Neuroscience from the Indian Institute of Science, Bangalore (India) with Prof. SP Arun and completed his postdoctoral research at the Massachusetts Institute of Technology with Profs. Nancy Kanwisher and James J DiCarlo.​ He leads the Murty Vision, Cognition, and Computation Lab at Georgia Tech.

​

Ratan's research goal is to understand the neural codes and algorithms that support human vision.

Assistant Professor
Additional Research
NeurobiologyBiological VisionNeural Modeling
IRI/Group and Role
Data Engineering and Science > Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology > College of Computing > School of Interactive Computing
Google Scholar
Related Websites
School of Psychology Profile

Milton Mueller

Milton Mueller
milton@gatech.edu
Website

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.

Professor
Phone
404.385.4281
Office
DM Smith 302
Additional Research
  • AI Governance
  • Cybersecurity Public Policy
  • Energy Delivery & Storage
  • Policy & Economics
IRI/Group and Role
Data Engineering and Science > Faculty
Energy > Research Community
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology > Ivan Allen College of Liberal Arts
Research Areas
Energy
  • Energy Systems, Grid Resilience, and Cybersecurity
  • AI Energy Nexus
  • Electric Vehicles

Martin Mourigal

Martin Mourigal
mourigal@gatech.edu
Physics Profile Page

Martin Mourigal received the B.S in Materials from Ecole des Mines de Nancy in 2004. He later received his M.S. and Ph.D. in physics from Ecole Polytechnique Federale (EPFL) located in Lausanne, Switzerland in 2007 and 2011, respectively. He was also a postdoctoral research fellow in John Hopkins University from 2011 until 2014. He joined Georgia Tech in 2015 and is currently an assistant professor in the School of Physics. Mourigal's lab focuses on the study of collective electronic and magnetic phenomena in quantum materials. His research exploits the unique strengths of neutron and X-ray scattering to probe the organization and the dynamics of matter at the nanoscale.In addition to his own lab research, Mourigal is the co-director of the Georgia Tech Quantum Alliance, a university wide program that will work towards solving problems in optimization, cryptography, and artificial intelligence. Mourigal was awarded the Cullen Peck Faculty Scholar Award from Georgia Tech in 2019. He was also awarded the National Science Foundation CAREER Award for excellence as a young educator and researcher in 2018.

Professor, School of Physics
Initiative Lead, Georgia Tech Quantum Alliance
Phone
404.385.5669
Office
Howey C202
Additional Research

Quantum Materials, Micro and Nanomechanics, Ferroelectronic Materials, Materials Data Sciences, Electronics

IRI/Group and Role
Data Engineering and Science > Faculty
Energy > Research Community
Matter and Systems > Affiliated Faculty
Data Engineering and Science
Energy
University, College, and School/Department
Georgia Institute of Technology > College of Sciences > School of Physics
Google Scholar
Related Websites
Mourigal Lab
Research Areas
Matter and Systems
  • Frontiers in Infrastructure

Cassie Mitchell

Cassie Mitchell
cassie.mitchell@bme.gatech.edu
Lab Website

Dr. Cassie S. Mitchell is a research engineer, elite athlete, and mentor. She is a current member of the USA Paralympic team and research faculty in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Institute of Technology and Emory University. At age 18 Cassie was afflicted with Devics Neuromyelitis Optica, leaving her as a quadriplegic and with visual impairments. Her faith and philosophy on life has helped her to overcome the resulting challenges. She graduated with a B.S. in Chemical Engineering from Oklahoma State University and a Ph.D. in Biomedical Engineering from GT/Emory. She enjoys mentoring high school and college students as well as new spinal cord injury patients at Shepherd Center Brain and Spinal Cord Rehabilitiation Hospital, Atlanta, Georgia.

Assistant Professor
Office
UAW 3106
Additional Research
  • Data Modeling for Diseases
  • Neuroscience
IRI/Group and Role
Bioengineering and Bioscience > Faculty
Data Engineering and Science > Faculty
Data Engineering and Science
Bioengineering and Bioscience
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > Coulter Department of Biomedical Engineering
Google Scholar
Related Websites
Personal Website

Suresh Menon

Suresh Menon
suresh.menon@aerospace.gatech.edu
Website

Professor Menon joined Flow Industries, Kent, Washington, as a research scientist, and in 1988, became a senior scientist and program manager for the computational fluid dynamics group in Quest Integrated, Inc. (formerly called Flow Research, Inc.). At Quest, Menon led research teams in various research projects such as the active control of combustion instability in ramjet engines, supersonic mixing studies, vertical takeoff and landing (VTOL) aircraft fluid dynamics, and hypersonic reentry problems. In 1992, he joined Georgia Institute of Technology as an associate professor and became a professor in 1997. He is currently the Hightower Professor of Engineering in Georgia Tech. Professor Menon is a world renowned expert in large-eddy simulation of turbulent reacting and non-reacting flows and has developed unique simulation capabilities to study pollutant formation, ozone depletion in high-altitude aircraft jet plumes and combustion in gas turbine and ramjet engines. He has been (and is currently) a principal investigator for a wide range of research projects funded by NASA, Department of Energy, Air Force Office of Scientific Research, Office of Naval Research, Defense Threat Reduction Agency. His work has been (and is also) supported by many industries including General Electric, Pratt & Whitney, Solar Turbines, Boeing, Safran (France), Hyundai (S. Korea), JAXA (Japan), IHI (Japan) and Rocketdyne-Aerojet. He has published and/or presented over 395 papers. Professor Menon is a Fellow of AAAS, Associate Fellow of AIAA, and a member of the American Physical Society, the American Society of Mechanical Engineers, the Combustion Institute and the Sigma Xi. He is a peer reviewer for numerous archival journals, NASA, NSF, DoD and DOE research proposals.

Professor
Phone
(404) 894-9126
Additional Research
  • Combustion
  • Data Driven Discovery
  • Energy Generation
  • Energy Storage, and Distribution
IRI/Group and Role
Data Engineering and Science > Faculty
Energy > Research Community
Data Engineering and Science
Energy
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > Guggenheim School of Aerospace Engineering
Research Areas
Energy
  • Combustion, Propulsion, and Hypersonics

Andrew Medford

Andrew Medford
andrew.medford@chbe.gatech.edu
Website

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.

Assistant Professor
Phone
(404) 385-5531
Additional Research

Catalysis, Biochemicals, Biorefining, Chemistry, Sugars, Molecular Simulations, Computational Biology

IRI/Group and Role
Data Engineering and Science > Faculty
Renewable Bioproducts > Affiliated Faculty
Energy > Hydrogen Group
Energy > Research Community
Data Engineering and Science
Renewable Bioproducts
Energy
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Chemical and Biomolecular Engineering
Research Areas
Energy
  • Carbon Capture, Utilization and Storage
  • AI Energy Nexus
  • Fuels
Subscribe to Faculty