Phanish Suryanarayana joined the School of Civil and Environmental Engineering at the Georgia Institute of Technology in August 2011. He received his B.Tech. from Indian Institute of Technology, Madras, India in 2005. He obtained his M.S. in Aeronautics from California Institute of Technology in 2006. Subsequently, he received his Ph.D. in Aeronautics from California Institute of Technology in 2011 for his thesis titled "Coarse-graining Kohn-Sham Density Functional Theory". His research interests are in the areas of multiscale modeling, ab-initio calculations, density functional theory, continuum mechanics and smart materials. Overall, he is interested in developing efficient numerical methods for solving problems arising in a variety of fields. On a personal level, Dr. Suryanarayana is a sports enthusiast. He plays badminton, cricket, waterpolo, and ultimate frisbee. He also is an avid gamer (PC) and enjoys playing bridge and other board game

Research in the Sherrill group focuses on the development of ab initio electronic structure theory and its application to problems of broad chemical interest, including the influence of non-covalent interactions in drug binding, biomolecular structure, organic crystals, and organocatalytic transition states. We seek to apply the most accurate quantum models possible for a given problem, and we specialize in generating high-quality datasets for testing new methods or machine-learning purposes. We have developed highly efficient algorithms and software to perform symmetry-adapted perturbation theory (SAPT) computations of intermolecular interactions, and we have used this software to analyze the nature of non-covalent pi-interactions in terms of electrostatics, London dispersion forces, induction/polarization, and short range exchange-repulsion. 

Surya Kalidindi is a Regents Professor, and Rae S. and Frank H. Neely Chair Professor in the Woodruff School of Mechanical Engineering at Georgia Institute of Technology, Georgia, USA with joint appointments in the School of Materials Science and Engineering as well as the School of Computational Science and Engineering. Surya earned a Ph.D. in Mechanical Engineering from Massachusetts Institute of Technology in 1992, and joined the Department of Materials Science and Engineering at Drexel University as an Assistant Professor. After twenty years at Drexel University, Surya moved into his current position at Georgia Tech. Surya’s research efforts have made seminal contributions to the fields of crystal plasticity, microstructure design, and materials informatics. Surya has been elected a Fellow of ASM International, TMS, and ASME. In 2016, he and his group members have been awarded the top prize as well as one of the runner-up prizes in the national Materials Science and Engineering Data Challenge sponsored by the Air Force Research Lab in partnership with the National Institute of Standards and Technology and the U.S. National Science Foundation. He has also been awarded the Alexander von Humboldt Research Award, the Vannever Bush Faculty Fellow, the Government of India’s Vajra Faculty Award, and the Khan International Award.

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.

Colton's research interests are in the areas of design and manufacturing, focusing on polymers and polymer composites. Processing techniques, such as micro-molding, injection molding, filament winding, resin transfer molding and the like, are studied and used to fabricate these devices and products, such as smart composite structures.

The design of processing techniques and equipment for metamaterials also are being studied with applications being dielectric materials for electromagnetic applications. Due to the small-scale physics associated with their engineering, nano-scale metamaterials exhibit superior properties and enhanced performance.

Colton has a strong passion for the application of engineering for the common good – "humanitarian design and engineering" and "design that matters," - such as in developing countries and other resource limited environments. To be successful, multidisciplinary teams must work together to produce products that function as well as delight, that exceed customer's expectations, regardless of where the product is used. Along these lines, product design and role that the interactions between engineering and industrial design forms another research interest.

Zhou's research interests concern material behavior over a wide range of length scales. His research emphasizes finite element and molecular dynamics simulations as well as experimental characterization with digital diagnostics. The objective is to provide guidance for the enhancement of performance through material design and synthesis. Zhou maintains a high-performance computer cluster with 384 parallel processors and an intermediate-to-high strain rate material research facility which includes a split Hopkinson pressure bar apparatus, a tension bar apparatus, and a combined torsion-tension/torsion-compression bar apparatus.

Recent research focuses on the characterization of the dynamic shear failure resistance of structural metals and the role of microscopic damage in influencing failure processes through shear banding and fracture. Micromechanical models are developed to outline microstructural adjustments that can improve the performance of materials such as metal matrix composites, ceramic composites, composite laminates and soft composites. These models explicitly account for random microstructures as well as random crack and microcrack development. At the nanoscale, ongoing research focuses on the novel shape memory and pseudoelasticity that were recently discovered in metal (e.g., Cu, Au and Ni) nanowires. The coupling between the thermal and mechanical responses of semiconducting oxide (e.g., ZnO and GaN) nanowires is another active research direction which uses molecular dynamics simulations and continuum modeling. Dr. Zhou's group is also actively engaged in research on the equivalent continuum (EC) representation of atomistic deformation at different length scales. Related research projects are sponsored by the National Science Foundation (NSF), NASA, the Air Force Office of Scientific Research (AFOSR), the Air Force Research Lab (AFRL), the Office of Naval Research (ONR), the Army Research Office (ARO), industry, and the Center for Computational Materials Design (CCMD).

Leonid Abramowich Bunimovich (born August 1, 1947) is a Soviet and American mathematician, who made fundamental contributions to the theory of dynamical systems, statistical physics, and various applications.

 Bunimovich received his bachelor's degree in 1967, master's degree in 1969, and Ph.D. in 1973 from the University of Moscow. His masters and Ph.D. thesis advisor was Yakov G. Sinai. 

Bunimovich is a Regents' Professor of mathematics at the Georgia Institute of Technology, a Fellow of the Institute of Physics, and was awarded Humboldt Prize in Physics.