Shreyas Kousik is an assistant professor in the George W. Woodruff School of Mechanical Engineering. Previously, Shreyas was a postdoctoral scholar at Stanford University. He received his Ph.D. in Mechanical Engineering at the University of Michigan. His undergraduate degree is in Mechanical Engineering from Georgia Tech.

Kousik’s research is focused on guaranteeing safety in autonomy via collision avoidance methods for robots. His lab’s goal is to translate safety in math to safety on real robots by exploring ways to model uncertainty from autonomous perception and estimation systems and ensure that these models are practical for downstream planning and control tasks

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.

Seung-Kyum Choi directly began at Georgia Tech in Fall 2006 as an assistant professor. Prior to joining Georgia Tech, he was a research assistant at Wright State University, conducting research on uncertainty quantification techniques for the analytical certification of complex engineered systems.  

Zhu's research focuses on the modeling and simulation of mechanical behavior of materials at the nano- to macroscale. Some of the scientific questions he is working to answer include understanding how materials fail due to the combined mechanical and chemical effects, what are the atomistic mechanisms governing the brittle to ductile transition in crystals, why the introduction of nano-sized twins can significantly increase the rate sensitivity of nano-crystals, and how domain structures affect the reliability of ferroelectric ceramics and thin films. To address these problems, which involve multiple length and time scales, he has used a variety of modeling techniques, such as molecular dynamics simulation, reaction pathway sampling, and the inter-atomic potential finite-element method. The goal of his research is to make materials modeling predictive enough to help design new materials with improved performance and reliability.

Xia began at Georgia Tech in Fall 2011. Prior to joining Georgia Tech, he was a postdoctoral researcher at the Graduate Aerospace Laboratories of the California Institute of Technology (CALCIT).

Streator’s research is concerned with the interactions between contacting surfaces, with particular emphasis on the roles played by surface roughness and by intervening liquid films. Much of this research is motivated by problems of adhesion or “stiction” that is prevalent in small-scale devices such as microelectromechanical systems (MEMS) and in the head-disk interface of computer disk drives. As device form factors continue to shrink the role of surface forces, such as liquid surface tension become increasingly dominant as compared to inertial forces. In this regard Streator has been interested in developing models that consider the interplay between liquid-drive capillary stresses and elastic restoring forces. This work has led to models of contact instabilities force generation predictions for both smooth and rough interfaces.

Antoniou started with the Woodruff School in Fall 2008. Prior, she worked as a postdoctoral research associate at the Center for Integrated Nanotechnlogies (CINT) at Los Alamos National Laboratory.

Neu's research involves the understanding and prediction of the fatigue behavior of materials and closely related topics, typically when the material must resist degradation and failure in harsh environments. Specifically, he has published in areas involving thermomechanical fatigue, fretting fatigue, creep and environmental effects, viscoplastic deformation and damage development, and related constitutive and finite-element modeling with a particular emphasis on the role of the materials microstructure on the physical deformation and degradation processes. He has investigated a broad range of structural materials including steels, titanium alloys, nickel-base superalloys, metal matrix composites, molybdenum alloys, high entropy alloys, medical device materials, and solder alloys used in electronic packaging. His research has widespread applications in aerospace, surface transportation, power generation, machinery components, medical devices, and electronic packaging. His work involves the prediction of the long-term reliability of components operating in extreme environments such as the hot section of a gas turbine system for propulsion or energy generation. His research is funded by some of these industries as well as government funding agencies.

Green’s research has been conducted under industrial and government sponsorship. His work broadly supports the field of design, rotordynamics, and tribology. The calculation of stiffness of bolted joints has become standard in classical design textbooks*. In 2006 he received the ASME highest honor, the Machine Design Award. His work on the dynamic behavior of mechanical seals operating in liquid or gas (again award winning) has been implemented into various computer codes which have been acquired by seals manufacturers, users, and research labs. For two decades he taught two continuing education courses: (1) The “Mechanical Engineering Professional Engineering Refresher,” and (2) with colleagues from BHRG, he taught and administered the course “Fluid Sealing Technology.” He served on numerous editorial boards, served on the STLE Board of Directors, and chaired two terms the Executive Committee of the ASME, Tribology Division.