Maribeth Gandy Coleman is a Regent's Researcher and Director of Research for the Institute of People and Technology at Georgia Tech. She received a B.S. in Computer Engineering as well as a M.S. and Ph.D. in Computer Science from Georgia Tech. In her 20+ as a research faculty member her work has been focused on the intersection of technology for mobile/wearable computing, augmented reality, human computer interaction, assistive technology, and gaming. She is a computer scientist focused on developing novel and scientifically validated systems at the “human technology frontier” designed for purposes such as training, rehabilitation, and cognitive training, utilizing cutting-edge technology such as augmented and virtual reality. For example, she lead an initiative (funded by National Science Foundation, Dept of Education, and ACT Inc.) to research the design of games for cognitive training and assessment for older adults, persons with disabilities, and K-12 students. She also previously led a project funded by Georgia Tech’s Health Systems Institute to develop home-based computer games for stroke rehabilitation. In her AR research, she is interested in advancing AR as a new medium by focusing on authoring, evaluation, and deployment. She was the lead architect on a large open source software project called the Designer’s Augmented Reality Toolkit (DART), which had thousands of users and was used to create a variety of large-scale AR systems. She was also co-PI on an NSF grant focused on the development of presence metrics for measuring engagement in AR environments using qualitative and quantitative data. She has also applied AR technologies to a STEM education project for teens, explored how AR interfaces can enhance user abilities during maintenance and repair tasks, and is currently studying the use AR and mobile technologies to make Internet of Things environments more approachable and useful to communities. In her Director role she is responsible for organizational leadership & strategic planning, fundraising, convening & managing diverse teams, industry/academic partnerships, and translational work including commercialization of intellectual property.

Dr. Gari Clifford is a tenured Professor of Biomedical Informatics and Biomedical Engineering at Emory University and the Georgia Institute of Technology, and the Chair of the Department of Biomedical Informatics (BMI) at Emory. His research focuses on the application of signal processing and machine learning to medicine to classify, track and predict health and illness. His focus research areas include critical care, digital psychiatry, global health, mHealth, neuroinformatics and perinatal health. After training in Theoretical Physics, he transitioned to AI and Engineering for his doctorate (DPhil) at the University of Oxford in the 1990’s. He subsequently joined MIT as a postdoctoral fellow, then Principal Research Scientist where he managed the creation of the MIMIC II database, the largest open access critical care database in the world. He later returned as an Associate Professor of Biomedical Engineering to Oxford, where he helped found its Sleep & Circadian Neuroscience Institute and served as Director of the Centre for Doctoral Training in Healthcare Innovation at the Oxford Institute of Biomedical Engineering. As Chair, Dr Clifford has established BMI as a leading center for critical care and mHealth informatics, and as a champion for open access data and open source software in medicine, particularly through his leadership of the PhysioNet/CinC Challenges and contributions to the PhysioNet Resource. Despite this, he is a strong supporter of commercial translation, working closely with industry, and serves as CTO of MindChild Medical, a spin out from his research at MIT.

Xu Chu is an assistant professor in the School of Computer Science at Georgia Tech. He obtained his Ph.D. degree from the University of Waterloo in late 2017, and joined Georgia Tech in Jan 2018. He is a recipient of the JP Morgan Faculty Research Fellow Award, the Microsoft Ph.D. fellowship award, and the David R. Cheriton fellowship award. 

He is broadly interested in data management systems and machine learning. In particular, he focuses on (1) how to leverage advanced machine learning techniques to solve hard and practical data management problems, such as large-scale data integration; and (2) how to build data management systems to tackle the common pain points in practical machine learning, such as the lack of high-quality labeled data.

Simon Chung is a research scientist at the Institute for Data Engineering and Science. He obtained his Ph.D. degree from the University of Texas at Austin. His research interests range from UI security, improving the security and usability of authentication systems, to employing the latest hardware features to improve systems security.

Elizabeth Cherry is an Associate Professor in the School of Computational Science and Engineering. Her research involves modeling and simulation, high-performance computing, and numerical methods. In particular, her group is focused on computational modeling of cardiac arrhythmias, including model development, validation, and parameter estimation; design and implementation of efficient solution methods; implementations on traditional parallel and GPGPU architectures; integration with experiments through data assimilation; and applications to understand the mechanisms responsible for particular complex dynamical states. She is a member of the editorial board of Chaos and a review editor for Frontiers in Physiology. She has served on the organizing committees of the SIAM Conference on Applications of Dynamical Systems in 2017, Dynamics Days 2020, and the Biology and Medicine Through Mathematics Conference 2018 and 2019 and on the program committees for the International Workshop on Hybrid Systems 2019 and 2020 and the International Congress on Electrocardiology 2018 and 2019. She received a BS in Mathematics from Georgetown University and a PhD in Computer Science from Duke University focusing on efficient computational methods for solving partial-differential-equations models of electrical signals in the heart. Her research is supported by the National Science Foundation and the National Institutes of Health

Yue Chen is an assistant professor in the Department of Biomedical Engineering, GT/Emory. He received his Ph.D. degree in Mechanical Engineering from Vanderbilt University, M.S. in Mechanical Engineering from Hong Kong Polytechnic University, and a B.S. in Vehicle Engineering from Hunan University. His research focused on designing, modeling, and control of continuum robots and apply them in medicine.

Marcia Chandler has been with Georgia Tech for more than 15 years, with assignments in the H. Milton Stewart School of Industrial and Systems Engineering and the Tennenbaum Institute before joining IPaT. Her responsibilities include purchasing and p-card administration, travel and expense processing, student hiring and HR actions, and asset management. She also assists researchers with Georgia Tech’s rigorous research faculty promotions process and coordinates IPaT Research faculty promotions peer review committee activities. Finally, she compiles and edits the IPaT Weekly Highlights. A native of Florida, Marcia holds a master’s degree in public administration from Kennesaw State University, a bachelor’s degree in journalism from Florida A&M University, and she is a 20+-year member of the Grammy award-winning Atlanta Symphony Orchestra Chorus.

Dr. Catrambone's research interests include: 

• Creating examples to help learners form meaningful and generalizable solution procedures. I and the students in my lab have explored this issue in domains ranging from probability and physics to ballet. 
• The use of task analysis techniques for identifying what a person needs to learn in order to solve problems or carry out procedures in some domain. 
• Using information from task analyses to guide the construction of teaching and training materials including computer-based (multimedia) instructional environments. 
• Exploring technology such as animations and embodied conversational agents (ECAs) for improving interfaces and helping people learn and carry out tasks more easily. 
• Analogical Reasoning