Dr. Yeo holds the titles of G.P. "Bud" Peterson and Valerie H. Peterson Endowed Professor, as well as Harris Saunders Jr. Endowed Professor, in the Woodruff School of Mechanical Engineering and the Coulter Department of Biomedical Engineering at Georgia Tech. He is also the director of the Wearable Intelligent Systems and Healthcare Center (WISH Center) and the KIAT-Georgia Tech Semiconductor Electronics Center (K-GTSEC). Dr. Yeo's research focuses on understanding the fundamentals of soft materials, deformable mechanics, interfacial physics, manufacturing, and the integration of hard and soft materials for the development of biomedical systems. He earned his Ph.D. in mechanical engineering and genome sciences from the University of Washington in Seattle and subsequently worked as a postdoctoral research fellow at the University of Illinois at Urbana-Champaign. With over 180 peer-reviewed publications, Dr. Yeo has contributed to many prestigious journals, including Nature Materials, Nature Machine Intelligence, Nature Communications, and Science Advances. He is an IEEE Senior Member and has received numerous awards, including the Visiting Professorship from the Institute Jean Lamour at the Université de Lorraine in France, the Lucy G. Moses Lectureship Award at the Mount Sinai School of Medicine, the NIH Trailblazer Young Investigator Award, the IEEE Outstanding Engineer Award, the Emory School of Medicine Research Award, the Imlay Innovation Award, the American Heart Association Innovative Project Award, the Sensors Young Investigator Award, the Med-X Young Investigator Award, and the Outstanding Service Award from the Korea Institute for Advancement of Technology, as well as the Outstanding Yonsei Scholar Award. Dr. Yeo is also the founder of two startup companies: Huxley Medical, Inc. and WisMedical, Inc.

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.

Mohsen Moghaddam is the Gary C. Butler Family Associate Professor in the H. Milton Stewart School of Industrial and Systems Engineering and the George W. Woodruff School of Mechanical Engineering at the Georgia Institute of Technology. He directs the Symbiotic and Augmented Intelligence Lab (SAIL), where his research focuses on developing human-centered computational models, algorithms, and tools at the intersection of AI and spatial computing to enhance learning and creativity in various cognitive and psychomotor tasks within industrial settings. Previously, Dr. Moghaddam was an Assistant Professor in the Department of Mechanical and Industrial Engineering and an Affiliated Faculty with the Khoury College of Computer Sciences at Northeastern University in Boston. He has also served as a Visiting Professor with the HumanTech project at Politecnico di Milano and as a Visiting Scholar at the Next Level Lab, Harvard University. Dr. Moghaddam earned his PhD in Industrial Engineering from Purdue University and completed a Postdoctoral Associate position at the GE-Purdue Partnership in Research and Innovation in Advanced Manufacturing. His research has been supported by the U.S. National Science Foundation, the U.S. Defense Advanced Research Projects Agency, the U.S. Navy, and industry partners.

Dr. Edvard Bruun joined the faculty in the School of Civil and Environmental Engineering at the Georgia Institute of Technology in August 2024. He completed his Ph.D. (2024) in Civil and Environmental Engineering at Princeton University. Dr. Bruun is also a licensed professional engineer in Canada and worked as a structural engineer at Arup before pursuing his Ph.D.

Dr. Bruun’s research centers on robotic automation for the assembly and disassembly of large-scale building components. He develops computational methods to design geometrically complex yet material-efficient structures that demand robotic fabrication for their construction. By harnessing the spatial precision and multifunctionality of cooperative multi-robot systems, Dr. Bruun coordinates multiple industrial robotic arms to execute intricate tasks. These include providing temporary structural support and facilitating the addition, removal, or repurposing of building components in collaboration with human operators.

Sean Wilson is a Senior Research Engineer serving as the Collaborative Autonomy Branch Chief for the Aerospace, Transportation & Advanced Systems Laboratory at the Georgia Tech Research Institute (GTRI). Additionally, he serves as the Director of the Robotarium Lab (https://www.robotarium.gatech.edu/) at Georgia Tech, which enables people around the world to deploy robotic algorithms onto robotic hardware free of charge.

He received M.S. and Ph.D. degrees in mechanical engineering from Arizona State University in 2017 and a B.A. degree in physics and mathematics from the State University of New York at Geneseo in 2012. He previously served as a postdoctoral fellow at the Georgia Institute of Technology.

Dr. Wilson’s research interests include remotely-accessible robotic hardware, collaborative autonomy, as well as the control of multi-agent and swarm robotic systems. 

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.

Sarah Li will join the Daniel Guggenheim School of Aerospace Engineering in January 2025. Her research advances multi-agent models and algorithms to overcome challenges facing future air and space mobility systems. Her research lies at the intersection of game theory, stochastic control, and optimization to enable optimal and safe decision-making of autonomous systems in interactive settings. Sarah earned her Ph.D. in Aeronautics and Astronautics from the University of Washington and her B.A.Sc. in Engineering Physics from the University of British Columbia. She is currently a postdoctoral scholar at ETH Zurich in Information Technology and Electrical Engineering. She was a 2020 Zonta International Amelia Earhart Fellow and a 2022 University of Washington Condit Graduate Fellow. During her Ph.D., she interned with Microsoft Research to develop supply chain games and Loon to develop multi-disciplinary design optimization for stratospheric balloons.

Tom Sammon focuses on implementing lean manufacturing practices and helping companies develop capital equipment applications.

Dr. Gregory S. Sawicki is the Interim Executive Director of the Institute for Robotics and Intelligent Machines and Professor and Joseph Anderer Faculty Fellow at Georgia Tech with appointments in the George W. Woodruff School of Mechanical Engineering and the School of Biological Sciences. He holds a B.S. from Cornell University ('99) and a M.S. in Mechanical Engineering from University of California-Davis ('01). Dr. Sawicki completed his Ph.D. in Human Neuromechanics at the University of Michigan, Ann-Arbor ('07) and was an NIH-funded Post-Doctoral Fellow in Integrative Biology at Brown University ('07-'09). Dr. Sawicki was a faculty member in the Joint Department of Biomedical Engineering at NC State and UNC Chapel Hill from 2009-2017. In summer of 2017, he joined the faculty at Georgia Tech with appointments in Mechanical Engineering 3/4 and Biological Sciences 1/4.

Young-Hui Chang is a professor in the School of Biological Sciences, Associate Dean of Faculty for College of Sciences, and director of research in the Georgia Tech Comparative Neuromechanics Lab where he studies the neuromechanics of movement in humans and other animals. Chang’s aim is to understand fundamental principles by which we control our movements as we move through our physical environment. This requires knowledge of the neural control of movement, the biomechanics of our musculoskeletal system, and the physics of our environmental interactions. The team also studies how our body adapts to acute and chronic changes. This involves processes of motor learning that are involved in everything from clinical rehabilitation to elite sports performance.