I am an Assistant Professor at the School of Interactive Computing in the College of Computing. I am also affiliated with the Georgia Tech Research Institute and serve as an Associate Director of ML@GT which is the machine learning center recently created at Georgia Tech. Previously I was a Research Scientist at SRI International Sarnoff in Princeton, and before that received my Ph.D. in 2010 with Professor Ron Arkin as my advisor. I lead the RobotIcs Perception and Learning (RIPL) lab. My areas of research specifically focus on the intersection of learning methods for sensor processing and robotics, developing novel machine learning algorithms and formulations towards solving some of the more difficult perception problems in these areas. I am especially interested in moving beyond supervised learning (un/semi/self-supervised and continual/lifelong learning) as well as distributed perception (multi-modal fusion, learning to incorporate information across a group of robots, etc.).

Dr. Hyesoon Kim received her Ph.D. degree in electrical and computer engineering from the University of Texas at Austin. Her research interests include high-performance energy-efficient computer architectures, programmer-compiler-architecture interaction, low-power high-performance embedded processors, and compiler and hardware support for dynamic optimizations, virtual machines, and binary instrumentation.

Melissa Lambeth Kemp received her B.S. in Nuclear Engineering from MIT and her Ph.D. in Bioengineering from University of Washington. Dr. Kemp joined the faculty at Georgia Tech in 2006 after completing postdoctoral training at MIT. Her expertise is in computational modeling of metabolism and signal transduction, as well as developing statistical modeling tools to examine network relationships in high-dimension datasets. One major aspect of her research program linking ROS – the byproducts of aerobic metabolism – to the fundamental way that cells interpret instructions from their environment, their neighbors, and their own genetic blueprint. Specific applications of her diverse work include systems modeling of transient phosphatase oxidation of kinase cascades, patient-specific differences in cytotoxicity to redox-cycled chemotherapeutics and radiation, and the coordination of oxidative metabolism with epithelial-to-mesenchymal transition. Her research program also includes a component of developing high-throughput screening methods for assaying cue-signal-response relationships in cells and analytical tools for single cell gene expression. 

Dr. Kemp currently serves as the Research Director of the multi-site NSF Engineering Research Center “Cell Manufacturing Technologies”. In her former role as Associate Director of the NSF Science and Technology Center “Emergent Behavior of Integrated Cellular Systems”, she spearheaded the multi-site center’s computational activities by developing agent-based models of context-dependent cellular decisions to generate new hypotheses of intercellular communication in pluripotent stem cell differentiation and emergent patterning; this work continues currently in quantifying organizational principles and spatial relationships in iPSC-derived tissues from multi-omics data. Dr. Kemp’s career honors include a Whitaker Graduate Fellowship, Merck/CSBi postdoctoral fellowship, Georgia Cancer Coalition Distinguished Scholar, NIH New Innovator Award, and the CSB2 Prize for Innovative Measurement Methods from the Council for Systems Biology in Boston.

DeBrae Kennedy-Mayo is a faculty member at the Georgia Tech Scheller College of Business. Kennedy-Mayo co-developed and currently co-teaches “Privacy for Professionals,” a graduate-level online privacy class, where she has received numerous Thank-a-Teacher recognitions. Her research focuses on legal and policy implications of technology, privacy, and cybersecurity. Kennedy-Mayo is also a Senior Fellow with the Cross-Border Data Forum.

Kennedy-Mayo is the co-author of several editions of the International Association of Privacy Professionals (IAPP) book entitled U.S. PRIVATE-SECTOR PRIVACY: LAW AND PRACTICE FOR INFORMATION PRIVACY PROFESSIONALS – the book used by individuals preparing for the IAPP certification exam on U.S. private-sector privacy. Kennedy-Mayo is the co-author of numerous articles related to technology, privacy and cybersecurity, with particular focus on the implications of data localization as well as the challenges of law enforcement in accessing electronic evidence. Kennedy-Mayo regularly speaks at conferences around the world on these topics.

Prior to joining Georgia Tech’s faculty, Kennedy-Mayo served as an Assistant Attorney General for the State of Georgia and an Assistant District Attorney in several counties in Georgia. During this time, Kennedy-Mayo litigated in state and federal courts, and also handled the appeals of her cases.

Kennedy-Mayo graduated with honors from the Emory University School of Law, where she was a managing editor for the Emory International Law Journal and was the founder of the Atlanta Bureau of the Internet Law Journal. At Emory Law, Kennedy-Mayo was named an Atlanta Law School Foundation Fellow. Kennedy-Mayo graduated with honors from Winthrop University, where she was the recipient of the Wylie Mathematics Scholarship.

Peter Kasson is an international leader in the study of biological membrane structure, dynamics, and fusion, with particular application to how viruses gain entry to cells. His group performs both high-level experimental and computational work – a powerful combination that is critical to advancing our understanding of this important problem. His publications describe inventive approaches to the measurement of viral fusion rates and characterization of fusion mechanisms, and to the modeling of large-scale biomolecular and lipid assemblies. He has applied these insights to the prediction of pandemic outbreaks and drug resistance, with particular attention to Zika, SARS-CoV-2, and influenza pathogens in recent years. See https://kassonlab.org/ for more information.

Ruth Kanfer is a psychologist and professor at Georgia Institute of Technology in the area of Industrial and Organizational Psychology. She is best known for her research in the fields of motivation, goal setting, self-regulation, job search, adult learning, and future of work. Kanfer has received numerous awards for her research contributions including the American Psychological Association Distinguished Scientific Award for an Early Career Contribution in Applied Research in 1989, the Society for Industrial and Organizational Psychology (SIOP) William R. Owens Scholarly Achievement Award in 2006 and the SIOP Distinguished Scientific Contributions Award in 2007. Ruth Kanfer has authored influential papers on a variety of topics including the interaction of cognitive abilities and motivation on performance, the influence of personality and motivation on job search and employment, and a review chapter on motivation in an organizational setting.

Surya Kalidindi is a Regents Professor, and Rae S. and Frank H. Neely Chair Professor in the Woodruff School of Mechanical Engineering at Georgia Institute of Technology, Georgia, USA with joint appointments in the School of Materials Science and Engineering as well as the School of Computational Science and Engineering. Surya earned a Ph.D. in Mechanical Engineering from Massachusetts Institute of Technology in 1992, and joined the Department of Materials Science and Engineering at Drexel University as an Assistant Professor. After twenty years at Drexel University, Surya moved into his current position at Georgia Tech. Surya’s research efforts have made seminal contributions to the fields of crystal plasticity, microstructure design, and materials informatics. Surya has been elected a Fellow of ASM International, TMS, and ASME. In 2016, he and his group members have been awarded the top prize as well as one of the runner-up prizes in the national Materials Science and Engineering Data Challenge sponsored by the Air Force Research Lab in partnership with the National Institute of Standards and Technology and the U.S. National Science Foundation. He has also been awarded the Alexander von Humboldt Research Award, the Vannever Bush Faculty Fellow, the Government of India’s Vajra Faculty Award, and the Khan International Award.

Roshan Vengazhiyil Joseph is a A. Russell Chandler III Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech.

Dr. Joseph's research interests are in the broad areas of applied and computational statistics. A major focus of his research is in developing novel data analytic methods for solving complex engineering problems. He has several years of consulting experience in solving quality-related problems in industries.

Dr. Joseph's honors include Distinguished Dissertation Award from the University of Michigan in 2003, CAREER Award from National Science Foundation in 2005, Jack Youden Prize from ASQ in 2005, Coca-Cola Junior Chair Professorship from ISYE in 2008, Best Paper Award from IIE Transactions in 2009, Franz Edelman Laureate from INFORMS in 2017, Statistics in Physical & Engineering Sciences Award from ASA in 2019, SPAIG Award from the ASA in 2020, and Lloyd S. Nelson Award from ASQ in 2021. He is a Fellow of ASA (elected in 2012) and ASQ (elected in 2020). Currently he is serving as the Editor of Technometrics (2020-2022).

Dr. Joseph received a Ph.D. degree in Statistics from the University of Michigan, Ann Arbor in 2002 and holds an M.Tech. degree in Quality, Reliability, and Operations Research and a B.Tech. degree in Production Engineering and Management. 

King Jordan is Professor in the School of Biological Sciences and Director of the Bioinformatics Graduate Program at the Georgia Institute of Technology. He has a computational laboratory and his group works on a wide variety of research and development projects related to: (1) human clinical & population genomics, (2) computational genomics for public health, and (3) computational approaches to functional genomics. He is particularly interested in the relationship between human genetic ancestry and health. His lab is also actively engaged in capacity building efforts in genomics and bioinformatics in Latin America.