Craig Forest is a Professor and Woodruff Faculty Fellow in the George W. Woodruff School of Mechanical Engineering at Georgia Tech where he also holds program faculty positions in Bioengineering and Biomedical Engineering. He conducts research on miniaturized, high-throughput robotic instrumentation to advance neuroscience and genetic science, working at the intersection of bioMEMS, precision machine design, optics, and microfabrication. Prior to Georgia Tech, he was a research fellow in Genetics at Harvard Medical School. He obtained a Ph.D. in Mechanical Engineering from MIT in June 2007, M.S. in Mechanical Engineering from MIT in 2003, and B.S. in Mechanical Engineering from Georgia Tech in 2001. He is cofounder/organizer of one of the largest undergraduate invention competitions in the US—The InVenture Prize, and founder/organizer of one of the largest student-run makerspaces in the US—The Invention Studio. He was a recently a Fellow in residence at the Allen Insitutte for Brain Science in Seattle WA; he was awarded the Georgia Tech Institute for BioEngineering and BioSciences Junior Faculty Award (2010) and was named Engineer of the Year in Education for the state of Georgia (2013). He is one of the inaugural recipients of the NIH BRAIN Initiative Grants, a national effort to invent the next generation of neuroscience and neuroengineering tools. In 2007, he was a finalist on the ABC reality TV show "American Inventor.”

Tim Lieuwen is the executive vice president for research (EVPR) at the Georgia Institute of Technology. In this role, he oversees the Institute’s $1.37 billion portfolio of research, economic development, and sponsored activities. This includes leadership of the Georgia Tech Research Institute (GTRI), the Enterprise Innovation Institute, nine interdisciplinary research institutes (IRIs), and related research administrative support units.

In his 25-plus years at Georgia Tech, Lieuwen earned his master's and Ph.D. degrees in mechanical engineering (1996 and 1999, respectively) and has held multiple leadership positions. He has been the executive director of the Strategic Energy Institute (SEI) since 2012 and began serving as the interim chair of the Daniel Guggenheim School of Aerospace Engineering in 2023.

Lieuwen has received numerous honors and recognition for his work in clean energy systems and policy, national security, and regional economic development. Additionally, he has been awarded the titles of Regents’ Professor and the David S. Lewis, Jr. Chair in AE. He is also a member of the National Academy of Engineering and is a fellow of the American Society of Mechanical Engineers and the American Institute of Aeronautics and Astronautics.

Dr. Mayor is a distinguished expert in thermal sciences, electro-mechanical machine design, and micro-manufacturing. As the inventor of the DwHX cooling technology for electric machines, he specializes in the research and development of advanced power electronics cooling, electric machine design, micro-power generation, and sustainable energy systems. Alongside his technical pursuits, Dr. Mayor has a rich entrepreneurial backdrop, having navigated product-oriented tech startups and led multiple advanced research and development programs. His expertise is sought in IP litigation, where he serves as a technical authority. 

He has presented keynotes and seminars on diverse topics, from micro-manufacturing and electric machines to energy systems. He teaches courses in mechanical engineering courses at Georgia Tech, including machine design, manufacturing processes, design thinking and internal combustion engines, including H2ICE, and has taught courses as a visiting lecturer in China, France, Saudi Arabia, and South Africa. He has a substantial academic contribution with over 120 publications in leading archival journals and conferences and is a member of ASME and IEEE and SME. 

Dr. Mayor's commitment goes beyond teaching and research as he engages in service as the Secretary of the Faculty. He strives to build on the learnings from the pandemic to expand the resourcefulness, understanding, and trust in shared governance. Moreover, Dr. Mayor serves as the faculty advisor for the Student Competition Center, further highlighting his commitment to student mentoring and leadership development. He looks forward to implementing AI in a robust manner in institute learnings, as a core capability in education.

Zhiqun Lin is currently Professor of Materials Science and Engineering at the Georgia Institute of Technology. His research focuses on nanostructured functional materials (NanoFM). An extensive list of materials currently under investigation in his group includes polymer-based nanocomposites, block copolymers, polymer blends, conjugated polymers, quantum dots (rods, tetrapods, wires), magnetic nanocrystals, metallic nanocrystals, semiconductor metal oxide nanocrystals, ferroelectric nanocrystals, multiferroic nanocrystals, upconversion nanocrystals, thermoelectric nancrystals, core/shell nanoparticles (nanorods), hollow nanocrystals, Janus nanocrystals, nanopores, nanotubes, hierarchically structured and assembled materials, and semiconductor organic-inorganic nanohybrids.

The goal of his research is to understand the fundamentals of these nanostructured materials. His group intends to create these nanostructures in a precisely controllable manner and to exploit the structure-property relationships in the development of multifunctional materials for potential use in energy conversion (e.g., solar cells, photocatalysis, and hydrogen generation) and storage (e.g., batteries), electronics, optics, optoelectronics, magnetic materials and devices, nanotechnology, and biotechnology.

Dr. Glezer began at Tech in 1992 as an Associate Professor. He was named to the Woodruff Chair in Thermal Systems in 2002. Prior, he was an Assistant and Associate Professor at the University of Arizona.

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).

Richard Fujimoto is a Regents’ Professor, Emeritus in the School of Computational Science and Engineering at the Georgia Institute of Technology. He received the Ph.D. degree from the University of California-Berkeley in 1983 in Computer Science and Electrical Engineering. He also received an M.S. degree from the same institution as well as two B.S. degrees from the University of Illinois-Urbana. 

Fujimoto is a pioneer in the parallel and distributed discrete event simulation field. Discrete event simulation is widely used in areas such as telecommunications, transportation, manufacturing, and defense, among others. His work developed fundamental understandings of synchronization algorithms that are needed to ensure the correct execution of discrete event simulation programs on high performance computing (HPC) platforms. His team developed many new algorithms and computational techniques to accelerate the execution of discrete event simulations and developed software realizations that impacted several application domains. For example, his Georgia Tech Time Warp software was deployed by MITRE Corp. to create online fast-time simulations of commercial air traffic to help reduce delays in the U.S. National Airspace. An active researcher in this field since 1985, he authored or co-authored three books and hundreds of technical papers including seven that were cited for “best paper” awards or other recognitions. His research included several projects with Georgia Tech faculty in telecommunications, transportation, sustainability, and materials leading to numerous publications co-authored with faculty across campus.

Dr. Jianjun Shi is the Carolyn J. Stewart Chair and Professor in H. Milton Stewart School of Industrial and Systems Engineering, with joint appointment in the George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology. Prior to joining Georgia Tech in 2008, he was the G. Lawton and Louise G. Johnson Professor of Engineering at the University of Michigan. He received his B.S. and M.S. in Electrical Engineering from the Beijing Institute of Technology in 1984 and 1987, and his Ph.D. in Mechanical Engineering from the University of Michigan in 1992. Dr. Shi is a pioneer in the development and application of data fusion for quality improvements. His methodologies integrate system informatics, advanced statistics, and control theory for the design and operational improvements of manufacturing and service systems by fusing engineering systems models with data science methods. He has produced 40 Ph.D. graduates, 27 of which have joined IE department as faculty members. Among them, 7 have received NSF CAREER Awards and one has received the NSF PECASE award. He has published one book and more than 180 papers. He has served as PI and co-PI for projects totaling more than 25 million dollars, which were funded by National Science Foundation, NIST Advanced Technology Program, Department of Energy, General Motors, Daimler-Chrysler, Ford, Boeing, Lockheed-Martin, Honeywell, Pfizer, Samsung, and various other industrial companies and funding agencies. The technologies developed in Dr. Shi’s research group have been widely implemented in various production systems with significant economic impacts. 

Dr. Shi is the founding chair of the Quality, Statistics and Reliability (QSR) Subdivision at the Institute for Operations Research and Management Science (INFORMS). He has served as the Editor-in-Chief of the IISE Transactions (2017-2020), the flagship journal of the Institute of Industrial and Systems Engineers. He also served as the Focus Issue Editor of IISE Transactions on Quality and Reliability Engineering (2007-2017), editor of Journal of System Science and Complexity, and advisory editor of Journal of Quality Technology and Quantitative Management (QTQM). He is a Fellow of American Society of Mechanical Engineering (ASME), a Fellow of the Institute of Industrial and Systems Engineering (IISE), a Fellow of Institute of Operations Research and the Management Science (INFORMS), a Fellow of Society of Manufacturing Engineering (SME), an Academician of the International Academy for Quality, and a member of National Academy of Engineering (NAE) of the USA. 

Dr. Shi received various awards for his research and teaching, including the George Box Medal (2022), ASQ Walter Shewhart Medal (2021), The S. M. Wu Research Implementation Award (2021), ASQ Brumbaugh Award (2019), The Horace Pops Medal Award (2018), IISE David F. Baker Distinguished Research Award (2016), the IIE Albert G. Holzman Distinguished Educator Award (2011), Forging Achievement Award from Forging Industry Educational and Research Foundation (2007), Monroe-Brown Foundation Research Excellence Award (2007), the 1938E Award (1998) at The University of Michigan, and NSF CAREER Award (1996).

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.