When Dr. Rosen arrived at Georgia Tech, he helped form the Systems Realization Laboratory, along with Drs. Janet Allen, Bert Bras, and Farrokh Mistree. In August 1995, Dr. Rosen was appointed the Academic Director of the Georgia Tech Rapid Prototyping and Manufacturing Institute (RPMI), where he has responsibility for developing educational and research programs in rapid prototyping. In 1998, he was appointed the Director of the RPMI. He began at Tech in Fall 1992 as an Assistant Professor.

Kamran Paynabar is the Fouts Family Early Career Professor and Associate Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. He received his B.Sc. and M.Sc. in Industrial Engineering from Iran in 2002 and 2004, respectively, and his Ph.D. in Industrial and Operations Engineering from The University of Michigan in 2012. He also holds an M.A. in Statistics from The University of Michigan. His research interests comprise both applied and methodological aspects of machine-learning and statistical modeling integrated with engineering principles. He is a recipient of the INFORMS Data Mining Best Student Paper Award, the Best Application Paper Award from IIE Transactions, the Best QSR refereed paper from INFORMS, and the Best Paper Award from POMS. He has been recognized with the Georgia Tech campus level 2014 CETL/BP Junior Faculty Teaching Excellence Award and the Provost Teaching and Learning Fellowship. He served as the chair of QSR of INFORMS, and the president of QCRE of IISE.

George Lan is an A. Russell Chandler III Professor of Industrial and Systems Engineering at Georgia Institute of Technology.  His research and teaching interests lie in theory, algorithms and applications of stochastic optimization and nonlinear programming.  Most of his current research concerns the design of efficient algorithms for solving challenging optimization problems, especially those arising from data analytics, machine learning, and reinforcement learning. He is actively pursuing the applications of these methodologies in healthcare and sustainability areas. Dr. Lan serves as the associate editor for Computational Optimization and Applications (2014 – present), Mathematical Programming (2016 – present) and SIAM Journal on Optimization (2016  – present). Dr. Lan is an associate director for the center of machine learning at Georgia Tech.

Marta Hatzell is an associate professor of mechanical engineering at Georgia Institute of Technology. Prior to starting at Georgia Tech in August of 2015, she was a post-doctoral researcher in the Department of Material Science and Engineering at the University of Illinois - Urbana-Champaign. During her post doc, she worked in the Braun Research Group on research at the interface between colloid science and electrochemistry. She completed her Ph.D. at Penn state University in the Logan Research Group. Her Ph.D. explored environmental technology for energy generation and water treatment. During graduate school she was an NSF and PEO Graduate Research Fellow. 

Currently her research group focuses on exploring the sustainable catalysis and separations, with applications spanning from solar energy conversion to desalination. She is an active member of the American Chemical Society, the Electrochemical Society, ASEEP, and ASME. Hatzell was awarded the NSF Early CAREER award in 2019 for her work on distributed solar-fertilizers, attended the 2019 US Frontiers of Engineering Symposium through the National Academy of Engineering, and was awarded the 2020 Sloan Research Fellowships in Chemistry.

Todd Sulchek is an associate professor in Mechanical Engineering at Georgia Tech where he conducts fundamental and applied research in the field of biophysics. His research program focuses on the mechanical and adhesive properties of cell and biological systems and the development of microsystems to aid in their study. His research employs tools, including, MEMS, microfluidics, imaging, and patterning to understand or enable biological systems. His interests include cancer diagnostics, stem cell biomanufacturing, novel therapeutics, and ultracheap engineering tools. He is a member of the interdisciplinary Institute for Bioengineering and Bioscience. Dr. Sulchek also holds program faculty positions in Bioengineering and Biomedical Engineering and has a courtesy appointment in the School of Biology. He received his Ph.D. from Stanford in Applied Physics under Calvin Quate and received a bachelors in math and physics from Johns Hopkins. He was a postdoc and staff scientist at Lawrence Livermore National Lab. He joined Georgia Tech in 2008 as an Assistant Professor of Mechanical Engineering. He is a recipient of the NSF CAREER award, the BP Junior Faculty Teaching Excellence Award, the Lockheed Inspirational Young Faculty award, and the 2012 Petit Institute Above and Beyond Award. To date he has published 42 journal papers and has filed or been issued 7 patents. Prof. Sulchek is a strong supporter of undergraduate research, and he participates in a variety of undergraduate education activities including the Undergraduate Research Opportunities Program (UROP) and includes over 8 undergraduate authors in the past year.

H. Jerry Qi is a professor and the Woodruff Faculty Fellow in the George W. Woodruff School of Mechanical Engineering at Georgia Institute of Technology. He received his bachelor degrees (dual degree), master and Ph.D. degree from Tsinghua University (Beijing, China) and a ScD degree from Massachusetts Institute of Technology (Boston, MA, USA). After one year postdoc at MIT, he joined University of Colorado Boulder as an assistant professor in 2004, and was promoted to associate professor with tenure in 2010. He joined Georgia Tech in 2014 as an associate professor with tenure and was promoted to a full professor in 2016. Qi is a recipient of NSF CAREER award (2007). He is a member of Board of Directors for the Society of Engineering Science. In 2015, he was elected to an ASME Fellow. The research in Qi's group is in the general area of soft active materials, with a focus on 1) 3D printing of soft active materials to enable 4D printing methods; and 2) recycling of thermosetting polymers. The material systems include: shape memory polymers, light activated polymers, vitrimers. On 3D printing, they developed a wide spectrum of 3D printing capability, including: multIMaTerial inkjet 3D printing, digit light process (DLP) 3D printing, direct ink write (DIW) 3D printing, and fused deposition modeling (FDM) 3D printing. These printers allow his group to develop new 3D printing materials to meet the different challenging requirements. For thermosetting polymer recycling, his group developed methods that allow 100% recycling carbon fiber reinforced composites and electronic packaging materials. Although his group develops different novel applications, his work also relies on the understanding and modeling of material structure and properties under environmental stimuli, such as temperature, light, etc, and during material processing, such as 3D printing. Constitutive model developments are typically based on the observations from experiments and are then integrated with finite element through user material subroutines so that these models can be used to solve complicated 3D multiphysics problems involving nonlinear mechanics. A notable example is their recent pioneer work on 4D printing, where soft active materials is integrated with 3D printing to enable shape change (or time in shape forming process). Recently, his developed a state-of-the-art hybrid 3D printing station, which allows his group to integrate different polymers and conduct inks into one system. Currently, his group is working on using this printing station for a variety of applications, including printed 3D electronics, printed soft robots, etc.