HyunJoo Oh is an Assistant Professor with a joint appointment in the School of Industrial Design and the School of Interactive Computing at Georgia Tech. Her research focuses on the intersection of Human-Computer Interaction and design, specifically studying and building creative technologies that integrate everyday craft materials with computing.

HyunJoo explores how familiar materials can be extended and transformed by computing technology, both as a tool and as a material, to broaden creative possibilities for designers. Her work has been published and exhibited at ACM SIGCHI conferences and in the maker community. HyunJoo holds a Ph.D. in Technology, Media, and Society with a Graduate Certificate in Cognitive Science from the University of Colorado Boulder (2018), a Master of Entertainment Technology from Carnegie Mellon University (2012), a Master of Interaction Design (2010) and a Bachelor of Fine Arts in Visual Information Design (2008) from Ewha Womans University.

Cindy Lin is the Stephen Fleming Early Career Assistant Professor at the School of Interactive Computing at Georgia Tech. She is the director of Critical Technocultures Lab. Prior to her professorship at Georgia Tech, she was an assistant professor at the College of Information Sciences and Technology at Penn State and a Postdoctoral Fellow at the Cornell Atkinson Center for Sustainability and the Department of Information Science. She was also a Digital Life Initiative Visiting Fellow at Cornell Tech.  

Cindy’s (she/her) research centers on the data practices, exchanges, and expertise of climate change and their relationship to environmental governance in Indonesia and the United States.

Cindy’s current book project examines how environmental data and AI are used to map and predict land and fires on Indonesia’s tropical peatland, the world’s largest terrestrial natural carbon store. Drawing from 3 years of ethnographic research with government ministries and agencies in Jakarta and with North American technology firms contracted as service providers to these institutions, I show that what started out as a state-driven initiative to monitor fire risk from afar transformed into a set of computing and labor-intensive efforts to stabilize fires.

Her work has been published in leading computing venues including ACM CSCW, CHI, DIS, and PD and has been featured in Social Text and CoDesign. Her graduate studies and research have been funded by the National Science Foundation, Dow Sustainability Fellows Program, Rackham Graduate School and the International Institute at the University of Michigan.

Cindy is the co-author of Technoprecarious, a multigraph written with Precarity Lab. She was also the co-director of DoIIIT, an interactive design and making studio. She holds a Ph.D. in Information from the School of Information (UMSI) and a graduate certificate from the Science, Technology, and Society Program at the University of Michigan, Ann Arbor.  

Naveena Karusala is an assistant professor in the School of Interactive Computing at Georgia Tech. Her research investigates how we can center care work in the design of AI technologies to enable sustainable futures of work, with a focus on the domains of healthcare and social services. Her work has received recognition at premier venues for Human-Computer Interaction, such as ACM CHI and ACM CSCW. She holds a PhD in Computer Science from the University of Washington, and a Bachelor's in Computer Science from Georgia Tech. Naveena also serves on the ACM SIGCHI Executive Committee as Vice-President for Communications.

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.

I am an Assistant Professor at Georgia Institute of Technology’s School of Interactive Computing. I design culturally informed STEM education technologies and increase access to computer science education in sustainable ways for low-income students and underserved communities. My work prioritizes identity development, engagement, and long-term sustainability of interventions.

Prior to Georgia Tech, I was a post-doctoral researcher at Carnegie Mellon’s Robotics Academy. I have a PhD in Human-Computer Interaction from Carnegie Mellon’s HCI Institute and was advised by Amy Ogan and Ken Koedinger.

My research has contributed to the design of a tablet-based learning system used to supplement formal education by over 500 students in rural Tanzania, programmable video games codesigned with children to increase computational thinking and coding skills among low income and marginalized youth in the United States, codesign of a state-wide Artificial Intelligence middle school curriculum, and active collaboration with several schools and organizations. As a passion project, I review children’s storybooks that celebrate African history and culture.

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.

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.

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.