Doug Blough, Ph.D., is a professor in the School of Electrical & Computer Engineering. After living in Japan for four years and graduating from the American School in Japan, Blough attended the Johns Hopkins University where he received the B.S.E.E. degree and M.S. and Ph.D. degrees in Computer Science in 1984, 1986, and 1988, respectively. From 1988 to 1999, he was first assistant and then associate professor at the University of California at Irvine, where he developed a research program focusing on the design of dependable computing systems at all levels from VLSI components to system architecture to software. In summer 1993, Blough worked on the design of a space-flight computer system under the auspices of a NASA/ASEE Faculty Fellowship and in spring 1996, he visited the Tokyo Institute of Technology on a fellowship from the Japan Society for Promotion of Science. In fall 1999, Blough joined Georgia Tech as a professor, where he continues research and education in computer systems design. He is the holder of 10 patents for wireless communications, bioinformatics and verifiable health records, identity management and other aspects of networking.

Dhruv Batra is an Associate Professor in the School of Interactive Computing at Georgia Tech. His research interests lie at the intersection of machine learning, computer vision, natural language processing, and AI, with a focus on developing intelligent systems that are able to concisely summarize their beliefs about the world with diverse predictions, integrate information and beliefs across different sub-components or `modules' of AI (vision, language, reasoning, dialog), and interpretable AI systems that provide explanations and justifications for why they believe what they believe. In past, he has also worked on topics such as interactive co-segmentation of large image collections, human body pose estIMaTion, action recognition, depth estIMaTion, and distributed optimization for inference and learning in probabilistic graphical models. He is a recipient of the Office of Naval Research (ONR) Young Investigator Program (YIP) award (2016), the National Science Foundation (NSF) CAREER award (2014), Army Research Office (ARO) Young Investigator Program (YIP) award (2014), Virginia Tech College of Engineering Outstanding New Assistant Professor award (2015), two Google Faculty Research Awards (2013, 2015), Amazon Academic Research award (2016), Carnegie Mellon Dean's Fellowship (2007), and several best paper awards (EMNLP 2017, ICML workshop on Visualization for Deep Learning 2016, ICCV workshop Object Understanding for Interaction 2016) and teaching commendations at Virginia Tech. His research is supported by NSF, ARO, ARL, ONR, DARPA, Amazon, Google, Microsoft, and NVIDIA. Research from his lab has been extensively covered in the media (with varying levels of accuracy) at CNN, BBC, CNBC, Bloomberg Business, The Boston Globe, MIT Technology Review, Newsweek, The Verge, New Scientist, and NPR. From 2013-2016, he was an Assistant Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech, where he led the VT Machine Learning & Perception group and was a member of the Virginia Center for Autonomous Systems (VaCAS) and the VT Discovery Analytics Center (DAC). From 2010-2012, he was a Research Assistant Professor at Toyota Technological Institute at Chicago (TTIC), a philanthropically endowed academic computer science institute located on the University of Chicago campus. He received his M.S. and Ph.D. degrees from Carnegie Mellon University in 2007 and 2010 respectively, advised by Tsuhan Chen. In past, he has held visiting positions at the Machine Learning Department at CMU, CSAIL MIT, Microsoft Research, and Facebook AI Research.

Arriaga is a Human Computer Interaction (HCI) researcher in the School of Interactive Computing. She uses psychological concepts, theories and methods to address fundamental topics of HCI and Social Computing. Her current research interests are in the area of chronic care management and mental health. She designs mHealth systems that address gaps in chronic care and mental health management. The computational systems she designs: foster engagement, facilitate continuity of care, promote patient self-advocacy, and mediate communication between patient and healthcare providers.

Ronald C. Arkin received the B.S. Degree from the University of Michigan, the M.S. Degree from Stevens Institute of Technology, and a Ph.D. in Computer Science from the University of Massachusetts, Amherst in 1987. He then assumed the position of Assistant Professor in the College of Computing at the Georgia Institute of Technology where he now holds the rank of Regents' Professor and is the Director of the Mobile Robot Laboratory. He also serves as the Associate Dean for Research in the College of Computing at Georgia Tech since October 2008. During 1997-98, Professor Arkin served as STINT visiting Professor at the Centre for Autonomous Systems at the Royal Institute of Technology (KTH) in Stockholm, Sweden. From June-September 2005, Prof. Arkin held a Sabbatical Chair at the Sony Intelligence Dynamics Laboratory in Tokyo, Japan and then served as a member of the Robotics and Artificial Intelligence Group at LAAS/CNRS in Toulouse, France from October 2005-August 2006.

Annie Anton, Ph.D., is a professor in the School of Interactive Computing at Georgia Tech, which she chaired until 2017. Previously, she served as a professor in the Computer Science Department of the College of Engineering at North Carolina State University, where she was director of the CSC Policy and Compliance Initiative and a member of the NCSU Cyber Defense Lab. In 2010, she chaired the NC State University Reappointment, Promotion and Tenure Committee. In 2008, she chaired the NC State Public Policy Task Force. Anton's research focuses on methods and tools to support the specification of complete, correct behavior of software systems used in environments that pose risks of loss as a consequence of failures and misuse. This includes systems in which the security of personal and private information is particularly vulnerable. Current extensions to this work, include the analysis of federal security and privacy regulations, and compliance practices. Anton is the founder and director of ThePrivacyPlace.org, a research group of students and faculty at Georgia Tech, CMU, NC State and UMBC. This group is interested in technologies that assist practitioners and policy makers in meeting the challenge of eliciting and expressing policies and regulations (a form of requirements). These tools help ensure that software systems are aligned with the privacy polices and regulations that govern these systems. Her professional activities include a notable combination of multi-disciplinary research and education. She is co-founder of the annual Requirements Engineering and the Law Workshop (RELAW). She is a former associate editor for IEEE Transactions on Software Engineering, cognitive issues subject area editor for the Requirements Engineering Journal, and the International Board of Referees for Computers & Security. Antón has served on various boards, ﾠincluding: ﾠPresident Obama's Commission on Enhancing National Cybersecurity, the NIST Information Security & Privacy Advisory Board, the IEEE Computer Society Research Board, an Intel Corporation Advisory Board, the Future of Privacy Forum Advisory Board. ﾠShe is a former member of the U.S. DHS Data Privacy and Integrity Advisory Committee, the CRA Board of Directors, the NSF Computer & Information Science & Engineering Directorate Advisory Council, the Distinguished External Advisory Board for the TRUST Research Center at U.C. Berkeley, the DARPA ISAT Study Group, the USACM Public Policy Council, the Advisory Board for the Electronic Privacy Information Center in Washington, D.C., the Georgia Tech Alumni Association Board of Trustees, the Microsoft Research University Relations Faculty Advisory Board, the CRA-W, the Georgia Tech Advisory Board (GTAB), and Corporate Secretary for Trekking for Kids, Inc.

David V. Anderson received the B.S and M.S. degrees from Brigham Young University and the Ph.D. degree from Georgia Institute of Technology (Georgia Tech) in 1993, 1994, and 1999, respectively. He is currently a professor in the School of Electrical and Computer Engineering at Georgia Tech. Anderson's research interests include audio and psycho-acoustics, machine learning and signal processing in the context of human auditory characteristics, and the real-time application of such techniques. His research has included the development of a digital hearing aid algorithm that has now been made into a successful commercial product. Anderson was awarded the National Science Foundation CAREER Award for excellence as a young educator and researcher in 2004 and the Presidential Early Career Award for Scientists and Engineers in the same year. He has over 150 technical publications and 8 patents/patents pending. Anderson is a senior member of the IEEE, and a member the Acoustical Society of America, and Tau Beta Pi. He has been actively involved in the

Hui Cai is a professor of the School of Architecture at the Georgia Institute of Technology. Prior to joining Georgia Tech, she served as the Chair of the Department of Architecture, and the Director of Research at the Institute of Health and Wellness Design at the University of Kansas. She also previously served as the Health + Science research leader and designer at CallisonRTKL Associates in Dallas. Cai received her Ph.D. degree from the Georgia Institute of Technology after several years of architectural education and practice in China and Singapore.

Dr. Cai’s research focuses on using a performance-driven and evidence-based design approach to analyze the relationship between culture, human behavior, and the physical environment, especially in healthcare settings and healthy communities. Dr. Cai combines various analytical tools in her research, such as space syntax analysis, discrete event simulations, and behavioral mappings. Cai disseminates her work extensively through numerous publications and presentations. Her work in healthcare research has received several awards, including the International Academy Award for Best Research project, AIA-AAH/AAH Foundation Burgun Fellowship, and the Inaugural Wilbur H (Tib) Tusler, Jr. Health Design Research Prize awarded by the Foundation for Health Environments Research. She is recently named as 2021 HCD 10 Healthcare Design Educator. She also served on the Board of Directors for the Environmental Design Research Association (EDRA).

Russ Clark is a senior research scientist in Georgia Tech's Institute of People and Technology, who engages hundreds of students each semester in mobile development, networking, and the Internet of Things. He is the Coastal Equity and Resilience Hub (CEAR) lead principal investigator. He emphasizes innovation, entrepreneurship, and industry involvement in student projects and application development. He's also the co-director of the Georgia Tech Research Network Operations Center (GT-RNOC), which supports research efforts across campus, and principal leader of the Convergence Innovation Competition, which pairs students and industry sponsors on novel projects. He has played a leadership role in the NSF GENI project, leading both the GT campus trials efforts as well as the GENI@SoX regional deployment and the Software-Defined Exchange (SDX). Russ is active in the startup community, including roles with the National Science Foundation Innovation Corps program and as a principle with Empire Technologies during its acquisition by Concord Communications.

I am an Associate Professor in the School of Interactive Computing at Georgia Tech. I received my Ph.D. and B.S. degrees in Computer Science from Carnegie Mellon University, and held positions as a Postdoctoral Associate at the MIT Media Lab and as Assistant Professor at Worcester Polytechnic Institute prior to joining Georgia Tech. I direct the Robot Autonomy and Interactive Learning (RAIL) lab, where we work on developing robots that are able to effectively operate in human environments. My research interests span robotics and artificial intelligence, including semantic reasoning, adjustable autonomy, human computation and cloud robotics. Please visit the RAIL lab website for a description of our latest projects.

Duen Horng "Polo" Chau, Ph.D., is an Assistant Professor at Georgia Tech’s School of Computational Science and Engineering, and an Associate Director of the MS Analytics program. He holds a Ph.D. and Master's in Machine Learning from Carnegie Mellon University, where his doctoral thesis won CMU’s Computer Science Dissertation Award, Honorable Mention. Chau has received faculty awards from Google, Yahoo, and LexisNexis. He also received the Raytheon Faculty Fellowship, Edenfield Faculty Fellowship, Outstanding Junior Faculty Award. He is the only two-time Symantec fellow and an award-winning designer. Chau’s research lab  -- the Polo Club of Data Science -- bridges data mining and HCI to solve large-scale, real-world problems by developing scalable, interactive, and interpretable tools for big data analytics. The group's "Polonium" malware detection technology (patented with Symantec) protects 120 million people worldwide. Its auction fraud detection research was widely covered by media, and its fake-review-detection research received the “Best Student Paper” award at the 2014 SIAM Data Mining Conference. Other work has addressed content spam, insider trading, and unauthorized mobile device access. He co-organized the IDEA workshop series at KDD that facilitate cross-pollination across HCI and data mining. He served as general chair for ACM IUI 2015 and was a steering committee member of the conference.