Data Engineering and Science | Research Community

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, School of Computer Science

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

Research Areas

Artificial Intelligence

Energy

Advanced Manufacturing for Energy
Energy Systems, Grid Resilience, and Cybersecurity

Kamran Paynabar

Read more about 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

University, College, and School/Department

Georgia Institute of Technology > College of Engineering > School of Industrial Systems Engineering

Research Areas

Artificial Intelligence

Renewable Bioproducts

Pulp, Paper, Packaging and Tissue

Haesun Park

Read more about 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

Read more about 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

Research Areas

Artificial Intelligence

Sridhar Narasimhan

Read more about 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

Read more about 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

Research Areas

Artificial Intelligence

N Apurva Ratan Murty

Read more about N Apurva Ratan Murty

ratan@gatech.edu

http://www.murtylab.com/

Ratan is an Assistant Professor of Cognition and Brain Science in the School of Psychology at Georgia Tech, and the Director of the Murty Lab (murtylab.com). He obtained his PhD from Indian Institute of Science (IISc) Bangalore and was a postdoctoral researcher in the Kanwisher and DiCarlo labs at MIT before moving to Georgia Tech. Research in the Murty Lab aims to uncover the neural codes and algorithms that enable us to see. The central theme of the lab's work is to integrate biological vision with artificial models of vision. The lab combines the benefits of closed-loop experimental testing (using 3T/7T human functional-MRI) with cutting-edge computational methods (like deep neural networks, generative algorithms, and AI interpretability) toward a new computationally precise understanding of human vision. This research also guides the development of neurally mechanistic biologically constrained models aimed to uncover a better understanding of the neurobiological changes that underlie perceptual abnormalities such as agnosias.

Assistant Professor

Office

131, JS Coon Building

IRI/Group and Role

Bioengineering and Bioscience > Faculty

Data Engineering and Science

Robotics

Bioengineering and Bioscience

Ratan Murty

Read more about 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

Janet Murray

Read more about Janet Murray

jmurray@gatech.edu

Website

Dr. Janet Murray is a Professor in the School of Literature, Media, and Communication, as well as Director of the Digital Integrative Liberal Arts Center (http://dilac.iac.gatech.edu). She received her PhD in English from Harvard. Her primary research interests are interactive design, interactive narrative, and the history and development of representational media. Her widely known book, Hamlet on the Holodeck: The Future of Narrative in Cyberspace, asks whether we can expect this new medium to support a new expressive art form, comparable to the Shakespearean theater or the Victorian novel in its ability to move and enlighten us. She is mostly optimistic about this possibility. Her textbook, Inventing the Medium: Principles of Interaction Design as a Cultural Practice (MIT Press, 2011) unites the myriad traditional disciplines in which interactive designers are now trained into a single coherent digitally focused design vocabulary. Her Prototyping eNarrative group (PENlab) creates prototypes of emerging narrative structures including interactive television, story-games, and virtual/augmented reality (http://penlab.gatech.edu). She is an emerita member of the Board of Trustees of the American Film Institute and the Board of the Peabody Awards, an Inaugural Fellow of the Higher Education Video Game Alliance, and a frequent keynote speaker for conferences at the intersection of games and narrative.

Associate Dean, Research and Faculty Affairs

Phone

404-894-6202

Additional Research

Interactive Narrative and eTV; Interactive Gaming; Encyclopedic Media

IRI/Group and Role

Data Engineering and Science > Research Community

People and Technology > Affiliated Faculty

Data Engineering and Science

People and Technology

University, College, and School/Department

Georgia Institute of Technology > Ivan Allen College of Liberal Arts