Aarn Stebner works at the intersection of manufacturing, machine learning, materials, and mechanics. He joined the Georgia Tech faculty as an associate professor of Mechanical Engineering and Materials Science and Engineering in 2020.

Previously, he was the Rowlinson Associate Professor of Mechanical Engineering and Materials Science at the Colorado School of Mines (2013 – 2020), a postdoctoral scholar at the Graduate Aerospace Laboratories of the California Institute of Technology (2012 – 2013), a Lecturer in the Segal Design Institute at Northwestern University (2009 – 2012), a Research Scientist at Telezygology Inc. establishing manufacturing and “internet of things” technologies for shape memory alloy-secured latching devices (2008-2009), a Research Fellow at the NASA Glenn Research Center developing smart materials technologies for morphing aircraft structures (2006 – 2008), and a Mechanical Engineer at the Electric Device Corporation in Canfield, OH developing manufacturing and automation technologies for the circuit breaker industry (1995 – 2000).

Wang's research is in the areas of design, manufacturing, and Integrated computational materials engineering. He is interested in computer-aided design, geometric modeling and processing, computer-aided manufacturing, multiscale simulation, and uncertainty quantification.

Currently, Wang studies integrated product-materials design and manufacturing process design, where process-structure-property relationships are established with physics-based data-driven approaches for design optimization. The Multiscale Systems Engineering research group led by him develops new methodologies and computational schemes to solve the technical challenges of high dimensionality, high complexity, and uncertainty associated with product, process, and systems design at multiple length and time scales.

Computational design tools for multiscale systems with sizes ranging from nanometers to kilometers will be indispensable for engineers' daily work in the near future. The research mission of the Multiscale Systems Engineering group is to create new modeling and simulation mechanisms and tools with underlying scientific rigor that are suitable for multiscale systems engineering for better and faster product innovation. Our education mission is to train engineers of the future to gain necessary knowledge as well as analytical, computational, communication, and self-learning skills for future work in a collaborative environment as knowledge creators and integrators. 

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.

Hailong Chen received his B.S. in Materials Science and Engineering from Tsinghua University in 1999, his M.S. in Chemistry from Tsinghua University in 2002, and his Ph.D. in Chemistry from Stony Brook University in 2009. Following his doctoral studies, he conducted postdoctoral research in the Department of Materials Science and Engineering (DMSE) at the Massachusetts Institute of Technology (MIT). Chen joined the faculty of Georgia Tech in November 2013, was promoted to Associate Professor with tenure in 2020, and to Professor in 2026.
 

Juan-Pablo Correa-Baena is a scientist and educator developing emerging materials for the future of sensing, communications, computing, and energy. He is the Goizueta Early Career Faculty Chair and an associate professor in the School of Materials Science and Engineering and the School of Chemistry and Biochemistry at Georgia Tech.

His research focuses on the discovery, processing, and engineering of emerging semiconductor and quantum materials with unique optical and electronic properties. His group explores how these materials interact with light and how their chemistry and structure can be controlled to enable new technologies, including advanced sensors and photodetectors, optoelectronic and quantum devices, and next-generation solar cells.

Correa-Baena has authored more than 150 scientific publications that have received more than 46,000 citations. His contributions have been recognized with the Presidential Early Career Award for Scientists and Engineers in 2025 and a Sloan Research Fellowship in 2024.

He is active in service and leadership across the international scientific community, including organizing conferences and workshops, serving as an editor of EES Solar, and building collaborations across materials science, chemistry, physics, and engineering.

At Georgia Tech, he co-directs the Center for Organic Photonics and Electronics and contributes to interdisciplinary research initiatives spanning energy, optoelectronics, and quantum science. Beyond traditional scientific activities, he collaborates with artists to explore how science and technology can inspire new ways of thinking and creative expression.

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.