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.

Dr. Tsiotras holds the David & Andrew Lewis Endowed Chair in the School of Daniel Guggenheim School of Aerospace Engineering at Georgia Tech. He is also associate director at the Institute for Robotics and Intelligent Machines. His current research interests include nonlinear and optimal control and their connections with AI, planning, and decision-making, emphasizing autonomous ground, aerial, and space vehicles applications. He has published more than 350 journal and conference articles in these areas. Prior to joining the faculty at Georgia Tech, Dr. Tsiotras was an assistant professor of mechanical and aerospace engineering at the University of Virginia. He has also held visiting appointments with the MIT, JPL, INRIA, Rocquencourt, the Laboratoire de Automatique de Grenoble, and the Ecole des Mines de Paris (Mines ParisTech). Dr. Tsiotras is a recipient of the NSF CAREER award, the IEEE Technical Excellence Award in Aerospace Controls, the Outstanding Aerospace Engineer Award from Purdue, the Sigma Xi President and Visitor's Award for Excellence in Research, as well as numerous other fellowships and scholarships. He is currently the chief editor of the Frontiers in Robotics & AI, in the area of space robotics, and an associate editor for the Dynamic Games and Applications journal. In the past, he has served as an associate editor for the IEEE Transactions on Automatic Control, the AIAA Journal of Guidance, Control, and Dynamics, the IEEE Control Systems Magazine, and the Journal of Dynamical and Control Systems. He is a Fellow of the AIAA, IEEE, and AAS.

Evangelos Theodorou earned his Diploma in Electronic and Computer Engineering from the Technical University of Crete (TUC), Greece in 2001. He has also received a MSc in Production Engineering from TUC in 2003, a MSc in Computer Science and Engineering from University of Minnesota in spring of 2007 and a MSc in Electrical Engineering on dynamics and controls from the University of Southern California(USC) in Spring 2010. In May of 2011 he graduated with his Ph.D., in Computer Science at USC. After his Ph.D., he became a Postdoctoral Research Associate with the department of Computer Science and Engineering, University of Washington, Seattle. In July 2013 he joined the faculty of the school of Aerospace Engineering at Georgia Institute of Technology as Assistant Professor. His theoretical research spans the areas of control theory, machine learning, information theory and statistical physics. Applications involve autonomous planning and control in robotics and aerospace systems, bio-inspired control and design.

Marilyn Smith is a Professor in the School of Daniel Guggenheim School of Aerospace Engineering at the Georgia Institute of Technology. She is director of Georgia Tech's Vertical Lift Research Center of Excellence (VLRCOE), where she leads a seven-university team of experts in vertical lift research for the U.S. Army, U.S. Navy and NASA. She has partnered with the Georgia Tech Research Institute (GTRI) to successfully win multiple research funding mechanisms for both organizations that total more than $200 million dollars. As the director of the AE School's Computational Nonlinear Computational Aeroelasticity Lab, Prof. Smith leads an internationally recognized and award-winning research team in the areas of unsteady aerodynamics and computational aeroelasticity using Computational Fluid Dynamics (CFD) across rotary-wing, fixed wing and launch vehicles, as well as sustainable energy. As a member of the NASA FUN3D development team, Prof. Smith contributes to state-of-the-art unstructured algorithm development, in particular for overset, moving frames. As an affiliate of the Aerospace Systems Design Lab (ASDL), she helps to integrate high performance computing with the design process. Prof. Smith is the author or co-author of more than 200 technical publications, and her research products are in active use by the US Government and other organizations, including the Drone Racing League. She is active internationally on three NATO AVT Panels investigating nonlinear gusts behaviors on UAVs and collaboration of experimental/computational aerodynamics. She is on Board of Directors of the Vertical Lift Consortium (VLC) and the Vertical Flight Society (VFS). She is also the Deputy Technical Director for Aeromechanics for the VFS. Prof. Smith has demonstrated her leadership as ARO Dynamic Stall Workshop Chair (2019); 70th AHS Annual Forum Technical Chairperson (2014); 69th AHS Annual Forum Technical Deputy Chairperson (2013); and 2014 Overset Grid Symposium (OGS) Chairperson. She was a member on the first International Aeroelastic Prediction Workshop Organizing Committee and is a member of the OGS organizing committee. Prof. Smith has been a guest expert in aviation for National Geographic, PBS, and NPR, as well as local television and numerous publications.

Elizabeth Qian joined the Daniel Guggenheim School in November 2022. She holds a joint appointment at Georgia Tech as Assistant Professor in the Schools of Aerospace Engineering and Computational Science and Engineering. Her interdisciplinary research develops new computational methods to enable engineering design and decision-making for complex systems. Her specialties are in developing efficient surrogate models through model reduction and scientific machine learning, and in developing multifidelity approaches to accelerate expensive computations in uncertainty quantification, optimization, and control. 

Elizabeth previously held a postdoctoral appointment as von Karman Instructor at Caltech in the Department of Computing + Mathematical Sciences. She has been the recipient of many awards, including a Caltech-wide award for teaching bestowed by the undergraduate student body, the 2020 SIAM Student Paper Prize, the Fannie and John Hertz Foundation Fellowship, and the NSF Graduate Research Fellowship. She is also an alumna of the U.S. Fulbright student program. She earned her PhD, SM, and SB degrees from the MIT Department of Aeronautics & Astronautics.

Dr. J.V.R. Prasad is a professor in the School of Daniel Guggenheim School of Aerospace Engineering at the Georgia Institute of Technology working in the area of flight mechanics and control. He received his B.Tech degree from the Indian Institute of Technology, Madras, India and his M.S and Ph.D. degrees from the Georgia Institute of Technology, Atlanta, USA. He is currently a co-principal investigator and the associate director for the US Army, Navy and NASA sponsored Vertical Lift Rotorcraft Center of Excellence (VLRCOE) program at Georgia Tech. He has extensive research and design experience in rotorcraft system modeling and control, propulsion system modeling and control, and autonomous air vehicle modeling and control. He published parts of four books, sixty refereed journal papers, more than 250 conference papers and 80 research project reports. He has 18 invention disclosures and five patents to his credit. He is a recipient of the 2009 Melville Medal award from the American Society of Mechanical Engineers (ASME) and the 2015 Aero Lion Technologies Outstanding Journal Paper award from the International Journal of Unmanned Systems. He served as the editor-in-chief of the Journal of the American Helicopter Society (AHS), chair of the Handling Qualities and UAV Tech Committees of the AHS, and as member and secretary of the Atmospheric. Flight Mechanics Technical Committee of the American Institute of Aeronautics and Astronautics (AIAA). He currently serves as a member of the editorial board for the International Journal on Mathematical Modeling and Simulation and the advisory board for the International Journal of Unmanned Systems. He is a Fellow of the AIAA, a Technical Fellow of the AHS and a member of the ASME.