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 16 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 and understanding of long-term, health-related behavioral trends by leveraging advances in sensing, wearable and mobile technologies, and computational analysis methods. The goal is to develop tools that can lead to better detection and monitoring of health-related trends in everyday settings. 

One thrust of Dr. Rozga’s research has focused on 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 analysis methods to longitudinal measures of communication to identify 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 thrust focused on Aging and Mild Cognitive Impairment, with an eye toward developing novel, AI-based systems to monitor cognitive and functional decline during everyday activities. A related thrust focuses on developing and evaluating situated AI-based interactive supports to help older adults maintain independence and quality of life 

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). She previously served as Programs and Research Director for the Technology Core of the Cognitive Empowerment Program at the Emory Brain-Health Center, and as Head of Product for Diligent Robotics. 

Ashok Goel is a Professor of Computer Science in the School of Interactive Computing at Georgia Institute of Technology in Atlanta, USA. He obtained his Ph.D. from The Ohio State University. At Georgia Tech, he is also the Director of the Ph.D. Program in Human-Centered Computing, a Co-Director of the Center for Biologically Inspired Design, and a Fellow of Brook Byers Institute for Sustainable Systems. For more than thirty years, Ashok has conducted research into artificial intelligence, cognitive science and human-centered computing, with a focus on computational design, modeling and creativity. His recent work has explored design thinking, analogical thinking and systems thinking in biological inspired design (https://www.youtube.com/watch?v=wiRDQ4hr9i8), and his research is now developing virtual research assistants for modeling biological systems. Ashok teaches a popular course on knowledge-based AI as part of Georgia Tech's program on Online Masters of Science in Computer Science. He has pioneered the development of virtual teaching assistants, such as Jill Watson, for answering questions in online discussion forums (https://www.youtube.com/watch?v=WbCguICyfTA). Chronicle of Higher Education recently called virtual assistants exemplified by Jill Watson as one of the most transformative educational technologies in the digital era. Ashok is the Editor-in-Chief of AAAI's AI Magazine.

Alan Ritter is an associate professor in the School of Interactive Computing at Georgia Tech. His research interests include natural language processing, information extraction, and machine learning. He completed his Ph.D. at the University of Washington and was a postdoctoral fellow in the Machine Learning Department at Carnegie Mellon.  His research aims to solve challenging technical problems that can help machines learn to read vast quantities of text with minimal supervision.  His work has been featured in the press including WIRED, TNW and VentureBeat.  Alan is the recipient of an NSF CAREER, an Amazon Research Award, a Sony Faculty Innovation Award, and several paper awards presented at the Annual Meeting of the Association for Computational Linguistics.

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.

Dr. Jon Duke is the director of the Center for Health Analytics and Informatics at the Georgia Tech Research Institute (GTRI) and a principal research scientist at the School of Interactive Computing in the College of Computing. He began working at Georgia Tech in 2016. His career before Tech was entirely in medical environments, both as a physician and a researcher.  

At Georgia Tech his research focuses on advancing techniques for identifying patients of interest from diverse data sources with applications spanning research, quality, and clinical domains. 

Dr. Duke has led over $21 million in funded research for industry, government, and foundation partners. Dr. Duke’s research focuses on advancing techniques for identifying patients of interest from diverse data sources with applications spanning research, quality, and clinical domains.  He led the Merck-Regenstrief Partnership in Healthcare Innovation and was a founding member of OHDSI, an open-source international health data analytics collaborative.  In addition to numerous peer-reviewed publications, his work has been featured in the lay media including the New York Times, NPR, and MSNBC.  Dr. Duke completed his medical degree at Harvard Medical School and a master's in human-computer interaction at Indiana University.

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