U.S. Army Chief Scientist for Ground Systems: U.S. Army Futures Command, Combat Capabilities Development Command (CCDC) – Ground Vehicle Systems Center (GVSC)
The Army’s Digital Engineering Strategy
Dr. David J. Gorsich is the U.S. Army Chief Scientist for Ground Systems at the U.S. Army Futures Command, Combat Capabilities Development Command (CCDC) – Ground Vehicle Systems Center (GVSC), a $1.4B/year organization with 3000 employees.
He is the Army Senior Research Scientist (ST) in Modeling and Simulation / Digital Engineering with a M.S. degree from George Washington University, and a Ph.D. from M.I.T. in Applied Mathematics. Dr. Gorsich is currently on a special assignment with the Deputy Assistant Secretary of the Army for Data, Engineering and Software developing a Digital Engineering Strategy for the Army. He is a Fellow of the Society of Automotive Engineers (SAE) and the American Society of Mechanical Engineers (ASME). He is the U.S. lead for the S&T Applied Vehicle Technology Panel under NATO. He is also the Army ground lead for the TTCP Land Group. He leads the GVSC basic research program, engagement with academia, and development of technical staff. He currently leads the development of modeling and simulation (M&S) tools for the development and assessment of autonomous ground systems.
In the past he led the development and validation of under-body blast M&S tools of ground systems. These tools were used to redesign many of the U.S. Army’s combat and tactical vehicles. He also developed new reliability-based design methods used to assess the reliability of ground systems, and co-led the validation, fielding and use of such methods in the Army. Dr. Gorsich was the associate editor of the ASME journal of mechanical design from 2009-2015.
He is currently the editor-in-chief for the Journal of Terramechanics. He has over 200 peer-reviewed journal articles with 3407 citations and an h-index of 29. He has been a visiting scholar and adjunct professor at numerous universities. His current research interests are digital engineering, machine learning, terramechanics, assessment of mobility and maneuver, and autonomy.