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.

Josiah Hester works broadly in computer engineering, with a special focus on wearable devices, edge computing, and cyber-physical systems. His Ph.D. work focused on energy harvesting and battery-free devices that failed intermittentently. He now focuses on sustainable approaches to computing, via designing health wearables, interactive devices, and large-scale sensing for conservation. 
   
His work in health is focused on increasing accessibility and lowering the burden of getting preventive and acute healthcare. In both situations, he designs low-burden, high-fidelity wearable devices that monitor aspects of physiology and behavior, and use machine learning techniques to suggest or deliver adaptive and in-situ interventions ranging from pharmacological to behavioral. 
   
His work is supported by multiple grants from the NSF, NIH, and DARPA. He was named a Sloan Fellow in Computer Science and won his NSF CAREER in 2022. He was named one of Popular Science's Brilliant Ten, won the American Indian Science and Engineering Society Most Promising Scientist/Engineer Award, and the 3M Non-tenured Faculty Award in 2021. His work has been featured in the Wall Street Journal, Scientific American, BBC, Popular Science, Communications of the ACM, and the Guinness Book of World Records, among many others.

Andrea Grimes Parker is an Associate Professor in the School of Interactive Computing at Georgia Tech. She is also an Adjunct Associate Professor in the Rollins School of Public Health at Emory University and at Morehouse School of Medicine. Dr. Parker holds a Ph.D. in Human-Centered Computing from Georgia Tech and a B.S. in Computer Science from Northeastern University. She is the founder and director of the Wellness Technology Lab at Georgia Tech. Her interdisciplinary research spans the domains of human-computer interaction and public health, as she examines how social and interactive computing systems can be designed to address health inequities. Dr. Parker has published widely in the space of digital health equity and received several best paper honorable mention awards for her research. Her research has been funded through awards from the National Science Foundation, the National Institutes of Health, the Aetna Foundation, Google, and Johnson & Johnson. 

Jennifer Gahee Kim is an Assistant Professor in the School of Interactive Computing at the Georgia Institute of Technology. She holds a Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign. Dr. Kim’s research interests lie in human-computer interaction and digital health, where she investigates how social and health information systems can be designed to promote diversity, advocacy, and empathy. With her research, she is especially passionate about impacting the lives of neurodiverse people and the communities around them.

Research Areas:
Human-Computer Interaction (HCI); Computer-Supported Cooperative Work (CSCW); Digital Health; Neurodiversity

Athanassios (Thanos) Economou is Professor at the School of Architecture in the College of Design, and Adjunct Professor at the School of Interactive Computing at Georgia Institute of Technology. Dr. Economou’s teaching and research are in the areas of shape grammars, computational design, computer-aided design and design theory, with over sixty published papers in these areas. He is the Director of the Shape Computation Lab, a research group that explores how the visual nature of shape can be formally implemented with new technologies to enable new paradigms in visual computation, design automation, creative design and digital heritage. Recent projects include the Shape Machine, a new computational technology that allows shape matching in CAD systems, and Courtsweb, the most significant visual database on Federal Courthouses, sponsored by GSA and US.Courts. Design projects from his studios at Georgia Tech have received prestigious awards in international and national architectural competitions. He has been invited to give talks, seminars, and workshops at several universities including MIT, Harvard, TU Vienna, U. Michigan, KAIST, Chiao Tung U Taiwan, Emory, Seoul National U, Cambridge U, Tsinghua U, UCLA, NTUA, U.Thessaly, U.Aegean, among others. Dr. Economou holds a Diploma in Architecture from NTUA, Athens, Greece, an M.Arch from USC, and a PhD in Architecture from UCLA.

Shaowen Bardzell is Chair and Professor at Georgia Institute of Technology's School of Interactive Computing.

Bardzell holds a Ph.D. in Comparative Literature from Indiana University and pursues a humanistic research agenda within the research and practice of Human Computer Interaction (HCI). A common thread throughout her work is the exploration of the contributions of feminism, design, and social science to support technology’s role in social change. Recent research topics include care ethics and feminist utopian perspectives on IT, research through design, women’s health, posthumanist approaches to sustainable design, computational agriculture and food justice, and cultural and creative industries in Asia. Her work is supported by the National Science Foundation, Intel Corporation, and the Mellon Foundation, among others.

She is the co-editor of Critical Theory and Interaction Design (MIT Press, 2018) and co-author of Humanistic HCI (Morgan & Claypool, 2015). 

Christopher J. MacLellan is an Assistant Professor in the School of Interactive Computing at Georgia Institute of Technology, where he leads the Teachable AI Lab (TAIL; https://tail.cc.gatech.edu). His work on cognitive systems aims to advance our understanding of how people teach and learn and to build AI systems that can teach and learn like people do and in ways that are compatible with people. He explores the development of computational models of learning and how these models can support the development of AI technologies, such as intelligent tutoring systems and medical decision support systems, at scale.

He also investigates how data collected about how people learn and make decisions can be leveraged to drive the development of better cognitive models and computational learning systems. Chris has been a principal investigator on multiple sponsored project awards with DARPA, the U.S. Army, ONR, and NSF. He has also received external recognition for his work, such as the 2022 EAAI Now and Future AI Educator award as well as being named on the 2021 Technical.ly RealLIST of technologists building Philadelphia’s future.  

Prior to his position at Georgia Tech, Chris was an Assistant Professor of Information Science and Computer Science (by co-appointment) at Drexel University. Before that, he completed his PhD in Human-Computer Interaction at Carnegie Mellon University's School of Computing, where he was a fellow in the Program for Interdisciplinary Education Research (PIER).

The products of his work have immediate implications for AI-powered technology development. For example, through his work with the NSF-funded AI ALOE Institute, Chris is developing tools that let teachers build AI-powered tutors by naturally teaching an AI agent rather than programming. His work also has many broader implications, such as enabling doctors to support the development of AI-powered diagnoses tools where few training examples are available (DARPA-funded POCUS project) and for creating personal assistant agents that can engage in collaborative learning to support more effective human-machine teaming (ARL-funded STRONG project).

Research Areas: 

Artificial Intelligence; Cognitive Systems; Cognitive and Learning Sciences; Human-Computer Interaction; Learning Technology.

Clio Andris is an assistant professor in the School of City and Regional Planning and the School of Interactive Computing at Georgia Tech. Her research is on mathematical models of social networks, social flows, and interpersonal relationships in geographic space, applied to issues of urban planning, visualization, transportation and geography. She teaches GIScience classes at multiple levels including Environmental GIS and Spatial Network Analysis, as well as classes on Information Visualization. She is a member of the Center for Spatial Planning Analytics and Visualization (CSPAV) and an affiliate of the Center for Quality Growth and Regional Development (CQGRD). She is also a member of the School of Interactive Computing's Information Visualization research group. She received her PhD from MIT in 2011 in Urban Information Systems where she was an NDSEG fellow and member of the Senseable City Lab. She held postdoctoral positions at the Singapore-MIT Alliance for Research and Technology (SMART) at the Santa Fe Institute.

Academic Specialty: 
Geographic Information Science and Technology

I am an assistant professor in the School of Interactive Computing at Georgia Tech. Before joining Georgia Tech, I spent two wonderful years at Virginia Tech as a faculty member. Prior to this, I was a postdoctoral fellow in the Visual Computing Group at Harvard University, and received my Ph.D. from Human-Centred Computing Department, Monash University, Australia.

My research encompasses a wide range of topics within the fields of Visualization (VIS), VR/AR, and Human-Computer Interaction (HCI). I actively contribute to these communities and regularly publish my work in leading venues such as IEEE VIS, ACM CHI, IEEE TVCG, EuroVis, and IEEE VR. I am honored to have received three best paper honorable mention awards, notably from IEEE VIS in 2016 and 2022, as well as ACM CHI in 2021. I also serve as a program committee member for several prestigious conferences in my fields, including IEEE VIS 2022/23/24, ACM CHI 2023/24, and IEEE VR 2022/23/24.