Taesoo Kim is Professor in the School of Computer Science, College of Computing at the Georgia Institute of Technology, which he joined in 2014 after completing his Ph.D. at the Massachusetts Institute of Technology. Kim is interested in building computing systems where underlying principles justify why it should be secure. Those principles include the design of the system, analysis of its implementation, and clear separation of trusted components. Kim seeks to develop tools that automatically identify which parts of an operating system have been affected, allowing a system administrator to recover from cyberattacks without excessive, manual effort. Since arriving at Georgia Tech, Kim has secured numerous reseach grants from the Office of Naval Research, the National Science Foundation, and Defense Advanced Research Projects Agency (DARPA), among others. He continues to earn numerous honors such as the 2015 Internet Defense Prize from USENIX and Facebook, and he competed as a finalist in the inaugural DARPA Cyber Grand Challenge with Team Disekt. Kim holds two bachelor’s degrees -- in Computer Science and in Electrical Engineering -- from the Korea Advanced Institute of Science & Technology (KAIST) and graduated summa cum laude. He earned a Master’s in Electrical Engineering and Computer Science from MIT under Nickolai Zeldovitch before continuing under the same adviosr in its Ph.D. program. Kim is affiliated with the Institute for Information Security & Privacy at Georgia Tech and contributed to its predecessor -- the Georgia Tech Information Security Center.

Animesh Garg is a Stephen Fleming Early Career Assistant Professor at School of Interactive Computing at Georgia Tech. He leads the People, AI, and Robotics (PAIR) research group. He is on the core faculty in the Robotics and Machine Learning programs. Animesh is also a Senior Researcher at Nvidia Research. Animesh earned a Ph.D. from UC Berkeley and was a postdoc at the Stanford AI Lab. He is on leave from the department of Computer Science at University of Toronto and CIFAR Chair position at the Vector Institute.

Garg earned his M.S. in Computer Science and Ph.D. in Operations Research from UC, Berkeley. He worked with Ken Goldberg at Berkeley AI Research (BAIR). He also worked closely with Pieter Abbeel, Alper Atamturk & UCSF Radiation Oncology. Animesh was later a postdoc at Stanford AI Lab with Fei-Fei Li and Silvio Savarese.

Garg's research vision is to build the Algorithmic Foundations for Generalizable Autonomy, that enables robots to acquire skills, at both cognitive & dexterous levels, and to seamlessly interact & collaborate with humans in novel environments. His group focuses on understanding structured inductive biases and causality on a quest for general-purpose embodied intelligence that learns from imprecise information and achieves flexibility & efficiency of human reasoning.

Tom Conte holds a joint appointment in the Schools of Electrical & Computer Engineering and Computer Science at the Georgia Institute of Technology. He is the founding director of the Center for Research into Novel Computing Hierarchies (CRNCH). His research is in the areas of computer architecture and compiler optimization, with emphasis on manycore architectures, microprocessor architectures, back-end compiler code generation, architectural performance evaluation and embedded computer system architectures.

Wenke Lee, Ph.D., is executive director of the Institute for Information Security & Privacy (IISP) and responsible for continuing Georgia Tech's international leadership in cybersecurity research and education. Additionally, he is the John P. Imlay, Jr. Professor of Computer Science in the College of Computing at Georgia Tech, where he has taught since 2001. Previously, he served as director of the IISP's predecessor -- the Georgia Tech Information Security Center (GTISC) research lab -- from 2012 to 2015. Lee is one of the most prolific and influential security researchers in the world. He has published several dozen, oft-cited research papers at top academic conferences, including the ACM Conference on Computer and Communications Security, USENIX Security, IEEE Security & Privacy ("Oakland"), and the Network & Distributed System Security (NDSS) Symposium. His research expertise includes systems and network security, botnet detection and attribution, malware analysis, virtual machine monitoring, mobile systems security, and detection and mitigation of information manipulation on the Internet. Lee regularly leads large research projects funded by the National Science Foundation (NSF), U.S. Department of Defense, Department of Homeland Security, and private industry. Significant discoveries from his research group have been transferred to industry, and in 2006, doing so enabled Lee to co-found Damballa, Inc., which focused on detection and mitigation of advanced persistent threats. Lee’s awards and honors include the “Internet Defense Prize” awarded by Facebook and USENIX in 2015, an “Outstanding Community Service Award” from the IEEE Technical Committee on Security and Privacy in 2013, a Raytheon Faculty Fellowship in 2005, an NSF Career Award in 2002, as well as best paper awards in the IEEE Symposium on Security and Privacy and the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Passionate about quality education, Lee serves on the advisory boards of the Faculty of Engineering at the Chinese University of Hong Kong and the board of trustees at Pace Academy in Atlanta. He received his Ph.D. in Computer Science from Columbia University in 1999.

Seymour E. Goodman, Ph.D., joined the Georgia Tech faculty in 2000 as Professor of International Affairs and Computing and Co-Director of the Georgia Tech Information Security Center, jointly in the Sam Nunn School of International Affairs and the College of Computing. Prof. Goodman's research interests include international developments in the information technologies (IT), technology diffusion, IT and national security, critical infrastructure protection, and related public policy issues. Areas of geographic interest include the former Soviet Union and Eastern Europe, Latin America, the Middle East, South and East Asia, and parts of Africa. Earlier research had been in areas of statistical and continuum physics, combinatorial algorithms, and software engineering. He is the author or co-author of about 150 publications in these subjects, and serves in various editorial capacities for several academic journals, including contributing editor for International Perspectives for the Communications of the ACM since 1990. He has served on numerous study and advisory committees for the ACM, the Departments of Commerce, Defense, and State, the US Congress, and the National Research Council. Prof. Goodman's work has been supported by almost three dozen funding sources, most recently by multi-year grants from the National Science Foundation and the MacArthur Foundation. He teaches several undergraduate and graduate courses in science and technology and national and international security.  In 2010, he was appointed to the Computer Science and Telecommunications Board of the National Research Council of the National Academies. Secondary research interests include the impact of S&T on the American Civil War, World War II, and the Cold War. Prof. Goodman was an undergraduate at Columbia University and obtained his Ph.D. from the California Institute of Technology.

Jacob Abernethy is an Associate Professor in the College of Computing at Georgia Tech. He started his faculty career in the Department of Electrical Engineering and Computer Science at the University of Michigan. He completed his Ph.D. in Computer Science at the University of California at Berkeley, and then spent two years as a Simons postdoctoral fellow at the CIS department at UPenn. Abernethy's primary interest is in Machine Learning, with a particular focus in sequential decision making, online learning, online algorithms and adversarial learning models. He did his Master's degree at TTI-C, and his Bachelor's Degree at MIT.