Dr. Kostas Konstantinidis joined the Georgia Institute of Technology as an Assistant Professor in November 2007. He received his BS in Agriculture Sciences from the Aristotle University of Thessaloniki (Greece) in 1999. He continued his studies at the Center for Microbial Ecology at Michigan State University (East Lansing, MI) under the supervision of Prof. James M. Tiedje, where he obtained a PhD in 2004. His PhD studies were fully supported by the Bouyoukos Fellowship program and were devoted in advancing our understanding of the ecology and physiology of soil bacteria through the comparative analysis of their whole-genome sequences. This research resulted in a NSF-funded project to advance the species definition for prokaryotes, which also fostered a short post-doc position at the Center for Microbial Ecology. He then moved to MIT and the laboratory of Prof. Edward DeLong to get trained on innovating metagenomic techniques. His work at MIT provided important new insights into the complexity and function of oceanic microbial communities as well as how life is adapting in the deep and cold Oceans. His research interests are at the interface of genomics and computational biology in the context of microbial ecology with the overarching goal to broaden understanding of the genetic and metabolic potential of the microbial world. Advancing our knowledge on these issues is essential for a better understanding of the microbes that power, by and large, the biogeochemical cycles that sustain life on Earth and cause or control important diseases in humans and animals. He is a member of the American Society for Microbiology (ASM), the International Society for Microbial Ecology (ISME) and the Association of Environmental Engineering and Science Professors (AEESP). Konstantinidis held the Carlton S. Wilder Junior Professorship for five years and subsequently received the Maulding Faculty Fellowship in the School of Civil and Environmental Engineering.

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.

Mijin Kim is an assistant professor in the School of Chemistry and Biochemistry at Georgia Tech. Her research program is focused on the development and implementation of novel nanosensor technology to improve cancer research and diagnosis. The Kim Lab combines nanoscale engineering, fluorescence spectroscopy, machine learning approaches, and biochemical tools (1) to understand the exciton photophysics in low-dimensional nanomaterials, (2) to develop diagnostic/nano-omics sensor technology for early disease detection, and (3) to investigate biological processes with focusing problems in lysosome biology and autophagy. For her scientific innovation, Kim has received multiple recognitions, including being named as one of the STAT Wunderkinds and the MIT Technology Review Innovators Under 35 List.

Pinar Keskinocak is the William W. George Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. She is also co-founder and director of the Center for Health and Humanitarian Systems. Previously, she served as the College of Engineering ADVANCE Professor and as interim associate dean for faculty development and scholarship. Prior to joining Georgia Tech, she worked at IBM T.J. Watson Research Center. She received her Ph.D. in Operations Research from Carnegie Mellon University, and her M.S. and B.S. in Industrial Engineering from Bilkent University. 

Dr. Keskinocak's research focuses on the applications of operations research and management science with societal impact, particularly health and humanitarian applications, supply chain management, and logistics/transportation. Her recent work has addressed infectious disease modeling (including Covid-19, malaria, Guinea worm, pandemic flu), evaluating intervention strategies, and resource allocation; catch-up scheduling for vaccinations; hospital operations management; disaster preparedness and response (e.g., prepositioning inventory); debris management; centralized and decentralized price and lead time decisions. She has worked on projects with companies, governmental and non-governmental organizations, and healthcare providers, including American Red Cross, CARE, Carter Center, CDC, Children’s Healthcare of Atlanta, Emory University, and Intel Corporation. 

She is an INFORMS Fellow and currently serves as the president of INFORMS. Previously she served as the Secretary of INFORMS, a department editor for Operations Research (Policy Modeling and Public Sector area), associate editor for Manufacturing & Service Operations Management, and INFORMS Vice President of Membership and Professional Recognition. She is the co-founder and past-president of INFORMS Section on Public Programs, Service, and Needs, and the president of the INFORMS Health Applications Society.

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.