Irfan Essa is a Professor in the School of Interactive Computing and Senior Associate Dean in the College of Computing (CoC), at the Georgia Institute of Technology. Professor Essa works in the areas of Computer Vision, Artificial Intelligence, Machine Learning, Robotics, Computer Graphics, and Social Computing, with potential impact on Content Creation, Analysis and Production (e.g., Computational Photography & Video, Image-based Modeling and Rendering, etc.) Human Computer Interaction, Artificial Intelligence, Computational Behavioral/Social Sciences, and Computational Journalism research.He has published over 150 scholarly articles in leading journals and conference venues on these topics and several of his papers have also won best paper awards. He has been awarded the National Science Foundation CAREER Award and was elected an IEEE Fellow. He has held extended research consulting positions with Disney Research and Google Research and also was an Adjunct Faculty Member at Carnegie Mellon's Robotics Institute. He joined Georgia Tech in 1996 after his earning his Master's (1990), Ph.D. (1994), and holding a research faculty position at the Massachusetts Institute of Technology Media Lab (1988-1996).

Dr. Rehg's research interests include computer vision, computer graphics, machine learning, robotics, and distributed computing. He co-directs the Computational Perception Laboratory (CPL) and is affiliated with the GVU Center, Aware Home Research Institute, and the Center for Experimental Research in Computer Science. In past years he has taught "Computer Vision" (CS 4495/7495) and "Introduction to Probabilistic Graphical Models" (CS 8803). He is currently teaching "Pattern Recognition" (CS 4803) and "Computer Graphics" (CS 4451). Dr. Rehg received the 2005 Raytheon Faculty Fellowship Award from the College of Computing. His paper with Ph.D. student Yushi Jing and collaborator Vladimir Pavlovic was the recipient of a Distinguished Student Paper Award at the 2005 International Conference on Machine Learning. Dr. Rehg currently serves on the Editorial Board of the International Journal of Computer Vision. He was the Short Courses Chair for the International Conference on Computer Vision (ICCV) in 2005 and the Workshops Chair for ICCV 2003. Dr. Rehg consults for several companies and has served as an expert witness. His research is funded by the NSF, DARPA, Intel Research, Microsoft Research, and the Mitsubishi Electric Research Laboratories.

Note: Rehg recently moved to the University of Illinois Urbana-Champaign as the Founder Professor of Computer Science and Industrial and Enterprise Systems Engineering.

Rebecca "Beki" Grinter is a Professor of Interactive Computing in the College of Computing & (by courtesy) the Scheller College of Business at the Georgia Institute of Technology. Her research focuses on improving the experience of computing by understanding the human experience in the building and using of technologies. Her work contributes to the fields of human-computer interaction, ubiquitous computing, and computer supported cooperative work. She has also worked in the areas of robotics, networking, security, and software engineering. She has published over 80 scholarly articles, served as Papers Chair (2006) & Best Papers Chair (2010) for the ACM Conference on Human Factors in Computing Systems (CHI), the premier conference for human-computer interaction. In 2013 she was elected to the CHI Academy. In 2010 she was recognized as a Distinguished Alumna of the University of California, Irvine. Before joining the faculty at Georgia Tech, she was a Member of Research Staff in the Computer Science Laboratory of Xerox PARC and a Member of Technical Staff in the Software Production Research Department of Bell Laboratories. She was also a visiting scholar at Rank Xerox EuroPARC. She holds a Ph.D. and M.S. in Information and Computer Science both from the University of California, Irvine, and a B.Sc. (Hons) in Computer Science from the University of Leeds. Affiliations GVU Center

Jessica Roberts is an Assistant Professor in the School of Interactive Computing at GT with a PhD in the Learning Sciences, specializing in geospatial analysis and visualization in informal learning. As director of the Technology-Integrated Learning Environments (TILEs) Lab at Georgia Tech, her research explores technology-mediated social learning experiences in environments such as museums and citizen science. She is a former middle school teacher and a Brook Byers Institute for Sustainable Systems Faculty Fellow. Her work on the design of interactive learning technologies has been exhibited at venues such as the Field Museum of Natural History in Chicago and the New York Hall of Science. Prior to joining Georgia Tech, Dr. Roberts conducted postdoctoral research at the Human-Computer Interaction Institute at Carnegie Mellon University and the Tidal Lab at Northwestern University.

Neha Kumar is an Associate Professor jointly appointed at the Sam Nunn School of International Affairs and the School of Interactive Computing at Georgia Tech. Her research lies at the intersection of human-computer interaction and global sustainable development, with a focus on global health and community informatics. Her work contributes feminist perspectives to the design and integration of emerging technologies across marginalized contexts in the Global South. 

Her research has been recognized by multiple ACM Best Paper and Honorable Mention awards. Neha received the College of Computing's Lockheed Inspirational Young Faculty Award (2017) and the Lockheed Excellence in Teaching Award (2019). She currently serves as the President of ACM SIGCHI. She earned her Ph.D. in Information Management Systems from UC Berkeley, Master’s degrees in Computer Science and Education from Stanford University, and Bachelor’s in Computer Science and Applied Math from UC Berkeley.

Dr. Matthew Gombolay is an associate professor of Interactive Computing at the Georgia Institute of Technology. He received a B.S. in Mechanical Engineering from the Johns Hopkins University in 2011, a S.M. in Aeronautics and Astronautics from MIT in 2013, and a Ph.D. in Autonomous Systems from MIT in 2017. Gombolay's research interests span robotics, AI/ML, human-robot interaction, and operations research. Between defending his dissertation and joining the faculty at Georgia Tech, Gombolay served as a technical staff member at MIT's Lincoln Laboratory transitioning his research for the U.S. Navy, earning him an R&D 100 Award for his development of "Human-Machine Collaborative Optimization via Apprenticeship Scheduling" (COVAS). His publication record includes a best paper award from American Institute for Aeronautics and Astronautics, and he was selected as a DARPA Riser in 2018. Dr. Gombolay's research has been highlighted in media outlets such as CNN, PBS, NBC, CBS, Harvard Business Review, Gizmodo, and national public radio

Harish is an Assistant Professor in the School of Interactive Computing at Georgia Institute of Technology. He is also a core faculty member of Georgia Tech’s Institute for Robotics and Intelligent Machines (IRIM). His research interests span the areas of robot learning, human-robot interaction, and multi-agent systems. He directs the Structured Techniques for Algorithmic Robotics (STAR) Lab, where he and his team works on structured algorithms that help robots reliably operate and collaborate in unstructured environments alongside humans.

I'm an assistant professor at Georgia Institute of Technology. Before joining Georgia Tech, I was a research scientist at Google and Disney Research Pittsburgh. I received my Ph.D. in Computer Science from the Georgia Institute of Technology in 2015. My advisor was Dr. C. Karen Liu. I have a B.S. degree in Computer Science from KAIST in 2009. I am interested in character animation, robotics, and artificial intelligence.

Dr. Danfei Xu is an Assistant Professor in the School of Interactive Computing at Georgia Tech. Dr. Xu received a B.S. in Computer Science from Columbia University in 2015 and a Ph.D. in Computer Science from Stanford University in 2021. His research goal is to enable physical autonomy in everyday human environments with minimum expert intervention. Towards this goal, his work draws equally from Robotics, Machine Learning, and Computer Vision, including topics such as imitation & reinforcement learning, representation learning, manipulation, and human-robot interaction. His current research focuses on visuomotor skill learning, structured world models for long-horizon planning, and data-driven approaches to human-robot collaboration.