Gregory D. Abowd is Dean of the College of Engineering and Professor of Electrical and Computer Engineering at Northeastern University. Prior to joining Northeastern in March 2021, he was a Regents’ Professor and held the J.Z. Liang Chair in the School of Interactive Computing at the Georgia Institute of Technology, where he also served as Associate Dean of Research and Space for the College of Computing. Abowd is an internationally renowned and highly cited scientist, well known for his contributions in the general area of Human-Computer Interaction (HCI) and specifically for his groundbreaking research in ubiquitous computing.

In more than 26 years at Georgia Tech, Dr. Abowd initiated bold and innovative research efforts, such as Classroom 2000 and the Aware Home, as well as pioneering innovations in autism and technology, health systems, CampusLife, and a joint initiative with engineering in computational materials. He was on the founding editorial board of IEEE Pervasive Computing Magazine, and was founding Editor-in-Chief of Foundations and Trends in HCI and The Proceedings of the ACM in Interactive, Mobile, Wearable, and Ubiquitous Technologies. He also founded the non-profit Atlanta Autism Consortium in 2008 to serve and unite the various stakeholder communities in Atlanta connected to autism research and services.

Dean Abowd’s contributions to the fields of Human-Computer Interaction and Ubiquitous Computing have been recognized through numerous awards. In 2008, he was named a Fellow of the Association for Computing Machinery. That same year, he was inducted into the ACM CHI Academy, the most prestigious honor for researchers in HCI. In 2009, he received the ACM Eugene Lawler Humanitarian Award for his work in autism and technology. As of 2020, he graduated 30 Ph.D. students, 20 of whom have gone on to successful careers at top universities around the world.

Dr. Abowd received the degree of B.S. in Honors Mathematics in 1986 from the University of Notre Dame. He then attended the University of Oxford in the United Kingdom on a Rhodes Scholarship, earning the degrees of M.Sc. (1987) and D.Phil. (1991) in Computation from the Programming Research Group in the Computing Laboratory. From 1989-1992 he was a Research Associate/Postdoc with the Human-Computer Interaction Group in the Department of Computer Science at the University of York in England. From 1992-1994, he was a Postdoctoral Research Associate with the Software Engineering Institute and the Computer Science Department at Carnegie Mellon University.

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.

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.

Dr. Dellaert does research in the areas of robotics and computer vision, which present some of the most exciting challenges to anyone interested in artificial intelligence. He is especially keen on Bayesian inference approaches to the difficult inverse problems that keep popping up in these areas. In many cases, exact solutions to these problems are intractable, and as such he is interested in examining whether Monte Carlo (sampling-based) approxIMaTions are applicable in those cases.

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.

Alex Adams’s research focuses on designing, fabricating, and implementing new ubiquitous and wearable sensing systems. In particular, he is interested in how to develop these systems using equity-driven design principles for healthcare. Alex leverages sensing, signal processing, and fabrication techniques to design, deploy, and evaluate novel sensing technologies.

Originally a musician, Alex became fascinated by how he could capture and manipulate sounds through analog hardware and digital signal processing, which led him back to his hometown (Concord, NC). Alex completed his BS at the University of North Carolina at Charlotte in 2014 and his Ph.D. at Cornell University in 2021 (advised by Professor Tanzeem Choudhury). Alex then became the resident Research Scientist for the Precision Behavioral Health Initiative at Cornell Tech (NYC) until the fall of 2022, when he joined the School of Interactive Computing at the Georgia Institute of Technology. Currently, his research focuses on the equity-driven design and the development of multi-modal sensing systems to simultaneously assess mental and physical health to enable a new class of mobile health technologies.

Agata Rozga is a psychologist with expertise and 13 years of experience forging a new interdisciplinary research area at the intersection of computing and psychology called computational behavioral science. The research vision is to transform the measurement, analysis, and understanding of health-related behaviors by leveraging advances in sensing, wearable and mobile technologies, and computational analysis methods. The ultimate goal is to develop tools that can lead to better detection, monitoring, and treatment of a variety of chronic health conditions.

One key area Dr. Rozga’s research has focused on is understanding early trajectories and predictors of social communication in children diagnosed with Autism Spectrum Disorder. In her most recent work, she is applying novel computational methods to longitudinal measures of communication behavior to understand different pathways to language in autism, including failure to acquire spoken language by age 5. Dr. Rozga’s research has recently expanded to include a focus on Mild Cognitive Impairment, with an eye toward developing novel AI-based systems to help monitor cognitive and functional decline in everyday activities, to deliver appropriate in-situ supports, and to support care networks.

Dr. Rozga serves as the Director of Translational Research for the Georgia Tech-led NSF National AI Institute for Collaborative Assistance and Responsive Interaction for Networked Groups (AI-CARING), and as the Programs and Research Director for the Technology Core of the Cognitive Empowerment Program at the Emory Brain-Health Center. She was previously the Head of Product for Diligent Robotics, https://www.diligentrobots.com/.