Tansel Yucelen was born in Istanbul, Turkey, and is a Research Engineer in the School of Aerospace Engineering at the Georgia Institute of Technology, Atlanta, Georgia, where he has been on the research faculty since December 2011. He is a member of the Aerospace Flight Mechanics and Controls Group and the Unmanned Aerial Vehicles Research Facility at the Georgia Institute of Technology. He received the Bachelor of Science degree in Control Engineering from Istanbul Technical University, Istanbul, Turkey, in 2006, and the Master of Science degree in Electrical and Computer Engineering from Southern Illinois University, Carbondale, Illinois, in 2008. He completed all requirements for the Doctor of Philosophy degree in Aerospace Engineering and he is going to receive his degree from the Georgia Institute of Technology in May 2012. His research falls into dynamical systems and control theory with specialization in adaptive control, decentralized control, intelligent control, optimal control, and robust control, which applications to uncertain systems, nonlinear systems, large-scale (interconnected) systems, networked control systems, unmanned aerial vehicles, robotics, flexible structures, active noise and vibration control systems, automation, mechanical systems, power systems, and smart structure systems. He is the author of over 60 archival and conference publications which have either appeared or will soon appear. He is a member of AIAA, IEEE, and SIAM.
Eric N. Johnson
Eric N. Johnson is a Professor at the School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA. He has a diverse background in guidance, navigation, and control - including applications such as airplanes, helicopters, submarines, and launch vehicles. He received a B.S. degree from University of Washington, M.S. degrees from MIT and The George Washington University, and a Ph.D. from Georgia Tech, all in Aerospace Engineering. He also has five years of industry experience working at Lockheed Martin and Draper Laboratory. He joined the Georgia Tech faculty in 2000, and has performed research in adaptive flight control, navigation, embedded software, and autonomous systems. He is the director of the Georgia Tech UAV Research Facility (UAVRF). He was the lead system integrator for rotorcraft experiments and demonstrations for the DARPA Software Enabled Control program, which included the first air-launch of a hovering aircraft and automatic flight of a helicopter with a simulated stuck swash-plate actuator. He is the principal investigator of the Active Vision Control Systems AFOSR Multi-University Research Initiative (MURI), developing methods that utilize 2-D and 3-D imagery to enable aerial vehicles to operate in uncertain complex 3-D environments. He has received the NSF CAREER award, and is a member of the AIAA and AHS.
Anthony J. Calise
Anthony J. Calise is a Professor at the School of Aerospace Engineering, Georgia Institute of Technology (Georgia Tech), Atlanta, GA. Prior to joining the faculty at Georgia Tech, he was a Professor of Mechanical Engineering at Drexel University, Philadelphia, PA, for eight years. He also worked for ten years in industry for the Raytheon Missile Systems Division and Dynamics Research Corporation, where he was involved with analysis and design of inertial navigation systems, optimal missile guidance and aircraft flight path optimization. He is the author of over 400 technical reports and papers and a former Associate Editor for the Journal of Guidance, Control, and Dynamics, and for the IEEE Control Systems Magazine. He was the recipient of the USAF Systems Command Technical Achievement Award, and the 1992 AIAA Mechanics and Control of Flight Award for contributions to singular perturbation theory and its applications to real-time, approximate, optimal guidance of aerospace vehicles. In 2000 he received the Aviation Week and Space Technology Laurels Award for his development of an adaptive reconfigurable flight control design that was flight tested on the X-36 aircraft. In 2010 he received the AIAA Guidance, Navigation and Control Award “for his contributions in the theoretical development and application of biologically inspired adaptive control systems for aerospace vehicles and systems”. He is a Fellow of the AIAA.
Girish V. Chowdhary
Girish Chowdhary received a Bachelor of Aerospace Engineering degree with first class honors from the Royal Melbourne Institute of Technology (RMIT), Melbourne, Australia in 2003. He then worked as a research engineer at the Institute for Flight Systems Technology of the German Aerospace Center (DLR) in Braunschweig Germany from 2004 to 2006. In August 2006, Girish joined the Daniel Guggenheim school of Aerospace Engineering at the Georgia Institute of Technology in Atlanta GA. Girish received a Master of Science degree in Aerospace Engineering from Georgia Tech in December 2008 and a Ph.D. in aerospace engineering from Georgia Tech in December 2010. His advisor was Prof. Eric N. Johnson. He currently works as a Research Engineer at Georgia Tech. His work in concurrent-learning adaptive control has built a foundation for novel memory-enabled adaptive control methods. His research interests also include model predictive control, fault-tolerant control and switching systems, Neural Networks and machine learning, system identification, decentralized networked control, nonlinear control theory, path planning and vehicle guidance, navigation theory and algorithms, and flight control, as well as Autonomous Systems Technology. He is the author of over 40 papers. He is a member of AIAA, IEEE CSS, AUVSI, and ION.