Craig Tovey is a Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. He also co-directs CBID, the Georgia Tech Center for Biologically Inspired Design. 

Dr. Tovey's principal research and teaching activities are in operations research and its interdisciplinary applications to social and natural systems, with emphasis on sustainability, the environment, and energy. His current research concerns inverse optimization for electric grid management, classical and biomimetic algorithms for robots and webhosting, the behavior of animal groups, sustainability measurement, and political polarization.  

Dr. Tovey received a Presidential Young Investigator Award in 1985 and the 1989 Jacob Wolfowitz Prize for research in heuristics. He was granted a Senior Research Associateship from the National Research Council in 1990, was named an Institute Fellow at Georgia Tech in 1994, and received the Class of 1934 Outstanding Interdisciplinary Activity Award in 2011. In 2016, Dr. Tovey was recognized by the ACM Special Interest Group on Electronic Commerce with the Test of Time Award for his work as co-author of the paper “How Hard Is It to Control an Election?” He was a 2016 Golden Goose Award recipient for his role on an interdisciplinary team that studied honey bee foraging behavior which led to the development of the Honey Bee Algorithm to allocate shared webservers to internet traffic. 

Dr. Tovey received an A.B. in applied mathematics from Harvard College in 1977 and both an M.S. in computer science and a Ph.D. in operations research from Stanford University in 1981. 

Chao Zhang is an Assistant Professor at the School of Computational Science and Engineering, Georgia Institute of Technology. His research area is data mining, machine learning, and natural language processing. His research aims to enable machines to understand text data in more label-efficient and robust way in open-world settings. Specific research topics include weakly-supervised learning, out-of-distribution generalization, interpretable machine learning, and knowledge extraction and reasoning. He is a recipient of Google Faculty Research Award, Amazon AWA Machine Learning Research Award, ACM SIGKDD Dissertation Runner-up Award, IMWUT distinguished paper award, and ECML/PKDD Best Student Paper Runner-up Award. Before joining Georgia Tech, he obtained his Ph.D. degree in Computer Science from University of Illinois at Urbana-Champaign in 2018.

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. 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

While teaching textiles and fashion design studio classes at Savannah College of Art & Design, Zeagler realized his true passion lies in bridging the gap between the disciplines of Wearable design and Human-Centered Computing. A diverse background in fashion, industrial design, and textiles drive his research on electronic textiles and on-body interfaces with the Contextual Computing Group of the GVU center of Georgia Tech. As a Principal Research Scientist for the Georgia Tech Interactive Media Technology Center and Instructor for the Georgia Tech School of Industrial Design he teaches courses on Wearable Product Design and an ID section of Mobile and Ubiquitous Computing (MUC).  Zeagler enjoys working with corporations such as HP/Palm and Google to bring real-world experience into the classroom. He recently acquired a NASA Georgia Space Consortium grant to fund MUC student projects on wearable computing for space—a wonderful opportunity for undergraduate students. He is also a member of the NASA Wearable Technology Cluster a group of scientists and academics working together to give advice to those in NASA working on wearable computing or electronic textile projects. A deep understanding of the garment production process fosters innovation in his research. Zeagler’s company Pecan Pie Couture hand-dyed, embroidered, and screen-printed textiles and garments. Building upon that skillset, his recent research led to the creation of the Electronic Textile Interface Swatch Book (ESwatchBook) in collaboration with Thad Starner. The ESwatchBook is designed to help facilitate discussions between the skill and craft-based design disciplines (.i.e. fashion) and more technical disciplines (.i.e. computer science). To put the ESwatchBook’s capabilities to the test, he developed a series of workshops at multiple colleges with the purpose of bringing together designers with engineers/technology specialists. The workshops were funded by a National Endowment for the Arts grant, which he co-authored. Zeagler’s most recent endeavor FIDO: Facilitating Interactions for Dogs with Occupations is an exploration into using wearable electronics to enhance interactions between service dogs and their handler/owners.