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Sanjay Garg
Dr. Sanjay Garg received the Ph.D. degree in Aeronautics from Purdue University, M.Sc. degree in Aerospace Engineering from University of Minnesota, and the B.Tech degree in Aeronautical Engineering from Indian Institute of Technology, Kanpur, India. Dr. Garg has worked as a controls engineer at NASA Glenn Research Center (GRC) since 1988 and is currently Chief of the Controls and Dynamics Branch. He is responsible for the development of advanced dynamic modeling, health management, and control design and implementation technologies for application to current and future aerospace propulsion systems.
He has authored over 70 technical papers and has presented graduate seminars at various universities and invited lectures at various technical forums. Dr. Garg is a Senior Member of IEEE, Associate Fellow of AIAA, and a past member of the AIAA Technical Committee on Guidance, Navigation and Control. He served as the technical program chairman for the 1993 AIAA Guidance, Navigation and Control Conference and as an Associate Editor for the AIAA Journal of Guidance, Control and Dynamics from 1994 to 1996. He served as the Chair of the AIAA Intelligent Systems Technical Committee from May 2005 to April 2007, and as the General Chair for the 2009 AIAA Infotech@Aerospace Conference held in Seattle, WA in April 2009. Dr. Garg is a recipient of the NASA Medal for Exceptional Achievement and a NASA fellowship for the Program for Management Development at Harvard Business School. He has recently completed the NASA Senior Executive Service Candidate Development program.
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Dr. Sanjay Garg received the Ph.D. degree in Aeronautics from Purdue University, M.Sc. degree in Aerospace Engineering from University of Minnesota, and the B.Tech degree in Aeronautical Engineering from Indian Institute of Technology, Kanpur, India. Dr. Garg has worked as a controls engineer at NASA Glenn Research Center (GRC) since 1988 and is currently Chief of the Controls and Dynamics Branch. He is responsible for the development of advanced dynamic modeling, health management, and control design and implementation technologies for application to current and future aerospace propulsion systems. 
