Kyriakos G. Vamvoudakis was born in Athens, Greece. He received the Diploma (a 5 year degree, equivalent to a Master of Science) in Electronic and Computer Engineering from Technical University of Crete, Greece in 2006 with highest honors. After moving to the United States of America, he studied at The University of Texas at Arlington with Frank L. Lewis as his advisor and he received his M.S. and Ph.D. in Electrical Engineering in 2008 and 2011 respectively. From May 2011 to January 2012, he was working as an Adjunct Professor and Faculty Research Associate at the University of Texas at Arlington and at the Automation and Robotics Research Institute. During the period from 2012 to 2016 he was a project research scientist at the Center for Control, Dynamical Systems and Computation at the University of California, Santa Barbara. He was an assistant professor at the Kevin T. Crofton Department of Aerospace and Ocean Engineering at Virginia Tech until 2018. He currently serves as an Assistant Professor at The School of Daniel Guggenheim School of Aerospace Engineering at Georgia Tech. His research interests include approxIMaTe dynamic programming, game theory, and optimal control. Recently, his research has focused on cyber-physical security, networked control, smart grid and multi-agent optimization. Dr. Vamvoudakis is the recipient of a 2019 ARO YIP award, a 2018 NSF CAREER award, and of several international awards including the 2016 International Neural Network Society Young Investigator (INNS) Award, the Best Paper Award for Autonomous/Unmanned Vehicles at the 27th Army Science Conference in 2010, the Best Presentation Award at the World Congress of Computational Intelligence in 2010, and the Best Researcher Award from the Automation and Robotics Research Institute in 2011. He is a member of Tau Beta Pi, Eta Kappa Nu and Golden Key honor societies and is listed in Who's Who in the World, Who's Who in Science and Engineering, and Who's Who in America. He has also served on various international program committees and has organized special sessions for several international conferences. He currently is a member of the Technical Committee on Intelligent Control of the IEEE Control Systems Society (TCIC), a member of the Technical Committee on Adaptive Dynamic Programming and Reinforcement Learning of the IEEE Computational Intelligence Society (ADPRLTC), an Associate Editor of the IEEE Computational Intelligence Magazine, an Associate Editor of the Journal of Optimization Theory and Applications, an Editor in Chief of the Communications in Control Science and Engineering, a registered Electrical/Computer engineer (PE) and a member of the Technical Chamber of Greece. He is a Senior Member of IEEE.

Ben Emerson completed his Ph. D. in Aerospace Engineering from Georgia Tech in August, 2013. Since then, Ben has worked as a Research Engineer at the Ben T. Zinn Combustion Lab at Georgia Tech. Ben’s research portfolio includes projects on combustion instabilities, alternative fuels, and combustion system R&D with a core focus and motivation of cleaner combustion. Ben’s research primarily consists of three core competencies, which are experimental combustion system development, combustor diagnostics, and combustion theory and modeling. Ben’s combustion system development work spans a wide variety of applications, from small lab-scale burners to combustor rigs that test full-scale gas turbine combustor hardware. His combustor diagnostics work encompasses the state of the art optical diagnostic techniques for reacting flow field measurements and imaging, and aims to implement those techniques in both laboratory-scale and large-scale rig tests. Finally, Ben’s combustion theory and modeling work is geared towards analysis of experimental datasets, development of reduced-order engineering tools, and the development of a suite of hydrodynamic stability analysis tools. Together, these core competencies form the pillars of Ben’s research, which facilitates the design of cleaner-burning combustion systems.

Dr. Scott Duncan is part of the Research Faculty within the School of Aerospace Engineering at the Georgia Institute of Technology, where he is a member of ASDL’s Digital Engineering Division. In his current position, Dr. Duncan leads and manages multi-disciplinary research teams in projects relating to terrestrial infrastructure systems, including community energy systems comprising grid-interactive efficient buildings, district thermal systems, distributed energy resources (DERs), and microgrids. These teams assess and support the design of these systems by applying techniques from systems engineering, data analysis, modeling and simulation, visualization, optimization, digital twinning, and model-based systems engineering. Dr. Duncan co-manages, with Dr. Jung-Ho Lewe, the Energy Infrastructure and Data Engineering group, which is part of the long-running Smart Campus Initiative between ASDL and GT Infrastructure & Facilities. Dr. Duncan is a Member of the American Institute of Aeronautics and Astronautics (AIAA), serving on its the Terrestrial Energy Systems (TES) Technical Committee. He is also the Initiative Lead for GT’s Strategic Energy Institute (SEI) overseeing research operations for the Tech Square Microgrid.