Dimitrios Psaltis

Dimitrios Psaltis
dpsaltis3@gatech.edu
Personal Website

I am a professor of Physics at Georgia Tech. I use advanced computational techniques, hybrid computer architectures, and innovative algorithms to answer fundamental questions related to the observational appearance of black holes, the properties of magnetohydrodynamic turbulence, and the interaction of matter with radiation in extreme conditions.

I am a founding member of the Event Horizon Telescope, the international mm-VLBI experiment that has taken the first picture of a black hole with the horizon-scale resolution, and served for three years (2016-2019) as the Project Scientist of the collaboration.

Before moving to Georgia Tech in 2022, I was a professor of Physics and Astronomy at the University of Arizona and the Chair of the Theoretical Astrophysics Program there.

Professor
Additional Research

Black Hole Images General Relativity

IRI/Group and Role
Data Engineering and Science > Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology > College of Sciences > School of Physics
Research Areas
Artificial Intelligence

Calton Pu

Calton Pu
calton.pu@cc.gatech.edu
Personal Website
Calton Pu, Ph.D., is a Professor in the School of Computer Science, College of Computing at the Georgia Institute of Technology. His research interests are in the areas of distributed computing, Internet data management, and operating systems. His current projects fall under the areas of cloud computing (Elba) and big data (GRAIT-DM) research. Using experimental data from realistic benchmarks, the Elba project studies the  phenomena of very short bottlenecks that have large impact on N-tier system response time. The GRAIT-DM project collects real world data from social sensors (e.g., Twitter and YouTube) and physical sensors (e.g., USGS GSN and NASA TRMM) to detect physical events and manage real-time information on them. The sponsors for Pu's research include both government funding agencies such as the National Science Foundation, and companies from industry such as IBM, Intel, and Hewlett-Packard.  He is a co-director of Center for Experimental Research in Computer Systems (CERCS) and affiliate of the Institute for Information Security and Privacy (IISP) at Georgia Tech.  Pu has taught several courses in the areas of systems and databases. In Fall, he teaches CS4220/6235 Real-Time Embedded Systems. In spring, he teaches CS4365/6365 Introduction to Enterprise Computing.
Professor
John P. Imlay, Jr. Chair in Software
Phone
404.385.1106
Office
KACB 3334
Additional Research

Cloud Security; Internet Infrastructure & Operating Systems; Large-Scale or Distributed Systems; Cloud Systems

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 Computer Science
Research Areas
Artificial Intelligence

Milos Prvulovic

Milos Prvulovic
milos@cc.gatech.edu
Website
Milos Prvulovic, Ph.D., is a professor in the School of Computer Science, College of Computing at the Georgia Institute of Technology. His research focuses on hardware and software support for program monitoring, debugging, and security. His research of side-channel emmanations and side-channel attacks has led to widespread interest from professional societies, the media and additional reserach sponsors -- most recently attracting a $9.4 million award from the Defense Advanced Research Projects Agency (DARPA) for continued study. In general, the goal of his research is to make both hardware and software more reliable and secure. Prvulovic is a senior member of Association of Computing Machinery (ACM) and Institute of Electrical and Electronics Engineers (IEEE), served as the chair of the IEEE Technical Committee on Microprogramming and Microarchitecture in 2016, and is a member of the Steering Committee for the ACM/IEEE MICRO conference. Prvulovic received his doctorate from the University of Illinois at Urbana-Champaign.
Professor
Phone
404.385.6364
Office
KACB 2332
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 Computer Science

B. Aditya Prakash

B. Aditya Prakash
badityap@cc.gatech.edu
Website
Director Seminars and Distinguished Lectures, IDEaS
Additional Research

AI; Health Information Technology; Network Science

IRI/Group and Role
Data Engineering and Science > Leadership
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology
Research Areas
Artificial Intelligence

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

Devi Parikh

Devi Parikh
parikh@gatech.edu
Visual Intelligence Lab

Devi Parikh is an Assistant Professor in the School of Interactive Computing at Georgia Tech, and a Research Scientist at Facebook AI Research (FAIR). From 2013 to 2016, she was an Assistant Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. From 2009 to 2012, she was a Research Assistant Professor at Toyota Technological Institute at Chicago (TTIC), an academic computer science institute affiliated with University of Chicago. She has held visiting positions at Cornell University, University of Texas at Austin, Microsoft Research, MIT, Carnegie Mellon University, and Facebook AI Research. She received her M.S. and Ph.D. degrees from the Electrical and Computer Engineering department at Carnegie Mellon University in 2007 and 2009 respectively. She received her B.S. in Electrical and Computer Engineering from Rowan University in 2005. Her research interests include computer vision and AI in general and visual recognition problems in particular. Her recent work involves exploring problems at the intersection of vision and language, and leveraging human-machine collaboration for building smarter machines. She has also worked on other topics such as ensemble of classifiers, data fusion, inference in probabilistic models, 3D reassembly, barcode segmentation, computational photography, interactive computer vision, contextual reasoning, hierarchical representations of images, and human-debugging.

Associate Professor; School of Interactive Computing
Research Scientist; Facebook AI Research (FAIR)
Office
Coda S1165B
Additional Research

Artificial Intelligence; Computer Vision; Natural Language Processing

IRI/Group and Role
Data Engineering and Science > Affiliated Faculty
People and Technology > Affiliated Faculty
Robotics > Core Faculty
Data Engineering and Science
People and Technology
Robotics
University, College, and School/Department
Georgia Institute of Technology > College of Computing > School of Interactive Computing
Google Scholar
Related Websites
College of Computing Profile
Research Areas
Artificial Intelligence

Sridhar Narasimhan

Sridhar Narasimhan
sri.narasimhan@scheller.gatech.edu
Website

Sridhar Narasimhan is Professor of IT Management and Co-Director -Business Analytics Center (BAC), Scheller College of Business. The BAC partners with its Executive Council companies in the analytics space and supports Scheller’s BSBA, MBA, and MS Analytics programs. Professor Narasimhan has developed and taught the MBA IT Practicum course. Since 2016, he has been teaching Business Analytics to undergraduate and MBA students at Scheller. 

Professor Narasimhan is the founder and first Area Coordinator of the nationally ranked Information Technology Management area. In fall 2010, he was the Acting Dean and led the College in its successful AACSB Maintenance of Accreditation effort. He was Senior Associate Dean from 2007 through 2015.

Gregory J. Owens Professor
Phone
404-894-4378
Office
Scheller 4268
Additional Research
  • Business Analytics
  • Design Science
IRI/Group and Role
Data Engineering and Science > Affiliated Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology

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
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