Alenka Zajic is currently the Ken Byers Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. She has received the B.Sc. and M.Sc. degrees from the University of Belgrade, Belgrade, Serbia, in 2001 and 2003, respectively, and the Ph.D. degree in electrical and computer engineering from the Georgia Institute of Technology, Atlanta, in 2008. Before joining Georgia Tech as an assistant professor, Zajic was a post-doctoral fellow in the Naval Research Laboratory and visiting faculty in the School of Computer Science at the Georgia Institute of Technology. Zajic is the recipient of the following awards: IEEE Atlanta Section Outstanding Engineer Award (2019), The Best Poster Award at the IEEE International Conference on RFID (2018), NSF CAREER Award (2017), Best Paper Award at the 49th Annual IEEE/ACM International Symposium on Microarchitecture (2016), the Best Student Paper Award at the IEEE International Conference on Communications and Electronics (2014), Neal Shepherd Memorial Best Propagation Paper Award (2012), the Best Paper Award at the International Conference on Telecommunications (2008), the Best Student Paper Award at the Wireless Communications and Networking Conference (2007), IEEE Outstanding Chapter Award as a Chair of the Atlanta Chapter of the AP/MTT Societies (2016), LexisNexis Dean's Excellence Award (2016), and Richard M. Bass/Eta Kappa Nu Outstanding Teacher Award (2016). She was an editor for IEEE Transactions on Wireless Communications 2012-2017 and an executive editor for Wiley Transactions on Emerging Telecommunications Technologies 2011-2016 .

Chris Jones was born in suburban Detroit, Michigan in July of 1973. After his primary and secondary schooling and 14 years living Troy, Michigan, he enrolled as a chemical engineering student at the University of Michigan. In route to earning a BSE in chemical engineering, Chris carried out research on transition metal carbide and nitride catalytic materials under the direction of Levi Thompson. After graduating in 1995, Chris moved to Pasadena, California, to study inorganic materials chemistry and catalysis under Mark E. Davis at Caltech. There he earned M.S. and Ph.D. degrees in chemical engineering in 1997 and 1999, respectively. Subsequently, he studied organometallic chemistry and olefin polymerization under the direction of both Davis and John E Bercaw at Caltech. He started as an assistant professor at Georgia Tech in the summer of 2000 and was promoted to associate professor in July 2005. In May, 2005, he was appointed the J. Carl and Sheila Pirkle Faculty Fellow, followed by a promotion to professor in July 2008. He was named New-Vision Professor of Chemical and Biomolecular Engineering in July 2011. In 2015, he became the Love Family Professor of Chemical and Biomolecular Engineering, and in 2019 the William R. McLain Chair. Chris was named the associate vice president for research at Georgia Tech in November 2013. In this role, he directed 50% of his time on campus-wide research administration with a primary focus on interdisciplinary research efforts and policy related to research institutes, centers and research core facilities. In 2018, he served as the interim executive vice-president for research, before returning full time to his research and teaching roles in chemical and biomolecular engineering in 2019.

Jones directs a research program focused primarily on catalysis and CO₂ separation, sequestration and utilization. A major focus of his laboratory is the development of materials and processes for the removal of CO₂ from air, or “direct air capture” (DAC). In 2010 he was honored with the Ipatieff Prize from the American Chemical Society for his work on palladium catalyzed Heck and Suzuki coupling reactions. That same year, he was selected as the founding Editor-in-Chief of ACS Catalysis, a new multi-disciplinary catalysis journal published by the American Chemical Society. In 2013, Chris was recognized by the North American Catalysis Society with the Paul E. Emmett Award in Fundamental Catalysis and by the American Society of Engineering Education with the Curtis W. McGraw Research Award. In 2016 he was recognized by the American Institute of Chemical Engineers with the Andreas Acrivos Award for Professional Progress in Chemical Engineering, distinguishing him as one of the top academic chemical engineers under 45. In 2020, after ten years building and leading ACS Catalysis, he was selected as the founding Editor-in-Chief of JACS Au by an international editorial search committee commissioned by the ACS. Dr. Jones has been PI or co-PI on over $72M in sponsored research in the last seventeen years, and as of December 2020, has published over 300 papers that have been cited >28,000 times. He has an H-Index of 82 (Google Scholar).

We strive to innovate in ways that both advance the imaging science and also impact biological and translational research. We are particularly interested in new imaging physics, bottom-up opto-electronic system design, as well as new principles for light propagation, light-matter interaction and image formation in complex biological materials, especially at the single-molecule level. Toward the application end, we have expertise in a wide range of imaging instrumentation and techniques, such as super-resolution, adaptive optics, light-field, miniaturized, light-sheet, computational microscopy and endoscopy.

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.

Tushar Krishna is an Associate Professor in the School of Electrical and Computer Engineering at Georgia Tech. He also holds the ON Semiconductor Junior Professorship. He has a Ph.D. in Electrical Engineering and Computer Science from MIT (2014), a M.S.E in Electrical Engineering from Princeton University (2009), and a B.Tech in Electrical Engineering from the Indian Institute of Technology (IIT) Delhi (2007). Before joining Georgia Tech in 2015, Krishna spent a year as a researcher at the VSSAD group at Intel, Massachusetts.

Krishna’s research spans computer architecture, interconnection networks, networks-on-chip (NoC) and deep learning accelerators – with a focus on optimizing data movement in modern computing systems. Three of his papers have been selected for IEEE Micro’s Top Picks from Computer Architecture, one more received an honorable mention, and three have won best paper awards. He received the National Science Foundation (NSF) CRII award in 2018, a Google Faculty Award in 2019, and a Facebook Faculty Award in 2019 and 2020.

Youjiang Wang joined Georgia Tech faculty in 1989. His research interests include mechanics of composites, yarns, fabrics, and geotextiles; manufacturing processes and characterization of fibers, textiles and textile structural composites; and fiber recycling. Wang is a registered Professional Engineer in the State of Georgia, and a Fellow of ASME.

Shreyas Kousik is an assistant professor in the George W. Woodruff School of Mechanical Engineering. Previously, Shreyas was a postdoctoral scholar at Stanford University, working in the ASL under Prof. Marco. Kousik completed a postdoc with Prof. Grace Gao in the NAV Lab. He received his Ph.D. in Mechanical Engineering at the University of Michigan, advised by Prof. Ram Vasudevan in the ROAHM Lab and received his undergraduate degree in Mechanical Engineering at Georgia Tech, advised by Prof. Antonia Antoniou.

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

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.