Victor Fung is an Assistant Professor in the School of Computational Science and Engineering. Prior to this position, he was a Wigner Fellow and a member of the Nanomaterials Theory Insitute in the Center for Nanophase Materials Sciences at Oak Ridge National Laboratory. A physical chemist by training, Fung now works at the intersection of scientific artificial intelligence, computing, and materials science/chemistry.

Tom Fuller is Professor of Chemical Engineering at the Georgia Tech. Dr. Fuller received a BS from the University of Utah in Chemical Engineering in 1982. Dr. Fuller then served for five years in the U.S. Navy working as a Nuclear Engineer. In 1992 he obtained a Ph.D. from UC, Berkeley also in Chemical Engineering. 

Subsequently, Dr. Fuller developed advanced lithium batteries while working as a postdoctoral fellow at Lawrence Berkeley National Laboratory. He then moved to United Technologies. He was responsible for technology development, design, assembly, and test of cell stacks for UTC Fuel Cells. 

His research group at Georgia Tech is focused on durability challenges for electrochemical systems. For the last eight years Dr. Fuller has been a Technical Editor for the Journal of the Electrochemical Society. In 2009 Dr. Fuller was named a Fellow of the Electrochemical Society.

The research in Chen Group is cross-disciplinary, bridging mechanical engineering, chemistry, and materials science, focusing on electrochemical energy storage related materials and devices, as well as functional and structural metals/alloys. The technical expertise of the group include development and application of advance in situ characterization methods for energy storage devices, computation-aided materials design and novel synthesis methods for nanostructured materials.

Juan-Pablo Correa-Baena is an Assistant Professor and the Goizueta Junior Faculty Rotating Chair in the School of Materials Science and Engineering at the Georgia Institute of Technology in Atlanta, USA.

His group focuses on understanding and control of crystallographic structure and effects on electronic dynamics at the nanoscale of low-cost semiconductors for optoelectronic applications. Juan-Pablo’s group works on advanced deposition techniques, with emphasis on low-cost and high throughput, as well as advanced characterization methods that include synchrotron-based mapping and imaging approaches with nanoscale resolution.

His research program at Georgia Tech has attracted funding from the Department of Energy and the Department of Defense, which funds cutting-edge research on new materials for solar energy conversion.

His work has been cited over 28,000 times (h-index of 59) making him a top cited researcher as recognized by the Web of Science Group, Highly Cited Researchers-cross-field (2019, 2021) and Chemistry (2020), and Nature Index, Leading early career researcher in materials science (2019).

Matthew McDowell joined Georgia Tech in the fall of 2015 as an assistant professor with a joint appointment in the George W. Woodruff School of Mechanical Engineering and the School of Materials Science and Engineering. Prior to this appointment, he was a postdoctoral scholar in the Division of Chemistry and Chemical Engineering at the California Institute of Technology. McDowell received his Ph.D. in 2013 from the Department of Materials Science and Engineering at Stanford University.

McDowell’s research group focuses on understanding how materials for energy and electronic devices change and transform during operation, and how these transformations impact properties. The group uses in situ experimental techniques to probe materials transformations under realistic conditions. The fundamental scientific advances made by the group guide the engineering of materials for breakthrough new devices. Current projects in the group are focused on i) electrode materials for alkali ion batteries, ii) materials for solid-state batteries, iii) interfaces in chalcogenide materials for electronics and catalysis, and iv) new methods for creating nanostructured metals.

Tequila A. L. Harris is a Professor in the George W. Woodruff School of Mechanical Engineering, and is the director of the Highly Advanced Roll-to-Roll iManufacturing Systems (HARRiS) group. Her research focuses on investigating the fundamental science associated with manufacture of polymer thin films from fluids (e.g., solutions, dispersions, slurries, etc.) as they are coated onto permeable or impermeable surfaces to make components or devices. She explores the connectivity between thin film functionality, based on their manufacture or structure, and their life expectancy, to elucidate mechanisms by which performance or durability can be predicted. In addition to conducting computational analysis, developing analytical models and running experiments, Harris also develops new manufacturing technologies to fabricate thin films, in wide area or discrete patterns. Target applications are well-suited for a variety of industries including food, energy, electronic, and environmental systems to name a few. In conjunction with her research activities, she is committed to the education, mentoring, and advisement of students towards scholarly achievements. She has published over fifty peer-reviewed articles. Harris has several awards including the National Science Foundation's young investigator CAREER Award and the Lockheed Inspirational Young Faculty Award.

I'm an assistant professor at Georgia Institute of Technology. Before joining Georgia Tech, I was a research scientist at Google and Disney Research Pittsburgh. I received my Ph.D. in Computer Science from the Georgia Institute of Technology in 2015. My advisor was Dr. C. Karen Liu. I have a B.S. degree in Computer Science from KAIST in 2009. I am interested in character animation, robotics, and artificial intelligence.

Dr. Danfei Xu is an Assistant Professor in the School of Interactive Computing at Georgia Tech. Dr. Xu received a B.S. in Computer Science from Columbia University in 2015 and a Ph.D. in Computer Science from Stanford University in 2021. His research goal is to enable physical autonomy in everyday human environments with minimum expert intervention. Towards this goal, his work draws equally from Robotics, Machine Learning, and Computer Vision, including topics such as imitation & reinforcement learning, representation learning, manipulation, and human-robot interaction. His current research focuses on visuomotor skill learning, structured world models for long-horizon planning, and data-driven approaches to human-robot collaboration.

Dr. Yong Cho, MSCE '97, has returned to CEE as an associate professor. Cho comes to Georgia Tech most recently from the University of Nebraska-Lincoln, and the University of Wisconsin-Platteville, where he taught construction engineering, construction management, and architectural engineering after earning his doctorate at the University of Texas in 2000. A 2011 recipient of the NSF Early Career Award, his research interests include construction automation, robotics, and transportation. He is leading the development of a new paradigm in these research areas by challenging the current understanding of science/engineering technologies in construction and sustainable built environments. Among the challenges he is investigating are robotizing several critical construction and maintenance tasks and disaster relief efforts.