Mitchell Kerman, Ph.D.
Director, Systems Science and Engineering
Biography: Dr. Mitchell Kerman is Director of Idaho National Laboratory’s Systems Science & Engineering Division. Before joining INL, he was at Stevens Institute of Technology’s Systems Engineering Research Center (SERC) as the Director of Program Development and Transition. In this position he was responsible for business and program development of the SERC, a Department of Defense University Affiliated Research Center (UARC) sponsored by the Office of the Deputy Assistant Secretary of Defense for Systems Engineering. In a little over two years he assisted in the growth of the SERC research portfolio from $5 million to more than $10 million annually. Dr. Kerman graduated with a bachelor’s in computer systems engineering from Arizona State University, and holds a master’s in operations analysis from Naval Postgraduate School. He earned his doctorate in systems engineering from Stevens Institute of Technology. He has worked over 20 years in a range of disciplines including modeling and simulation, immersive visualization, image processing and numerical analysis. He led the first successful use of live and simulated data feeds in an immersive environment and led transformative technology changes for various branches of the military and intelligence community.
Ph.D., Systems Engineering - Stevens Institute of Technology
M.S., Operations Analysis - Naval Postgraduate School
B.S., Computer Systems Engineering - Arizona State University
Member of the International Council on Systems Engineering (INCOSE)Member of the Institute of Industrial and Systems Engineers (IISE)Member of the Institute for Operations Research and the Management Sciences (INFORMS)Member of the Military Operations Research Society (MORS)Member of the National Defense Industrial Association (NDIA)
Rook CJ and Kerman MC. 2015. “Approximating the Sum of Correlated Lognormals: An Implementation.” Available at SSRN: http://ssrn.com/abstract=2653337 or http://dx.doi.org/10.2139/ssrn.2653337.
Kerman MC, Johnson JH, and Arnold SK. 2010. “Leveraging Free and Open Source Software.” Lockheed Martin White Paper.
Kerman MC. “The MECCA Method for Personal and Professional Success.” Lockheed Martin White Paper.
Kerman MC. 2009. “The Application of a Robust Metamodel for Salinity Uncertainty Quantification and Event Detection Confirmation within New York Harbor Oceanographic Data.” Doctoral Dissertation, Stevens Institute of Technology, Department of Systems Engineering.
Kerman MC, Jiang W, Blumberg AF, and Buttrey SE. 2009. “Event Detection Challenges, Methods, and Applications in Natural and Artificial Systems.” Proceedings of the 14th International Command and Control Research and Technology Symposium.
Kerman MC, Jiang W, Blumberg AF, and Buttrey SE. 2009. “The application of a quantile regression metamodel for salinity event detection confirmation within New York Harbour oceanographic data.” Journal of Operational Oceanography, 2(1), 49-70.
Kerman MC, Jiang W, Blumberg AF, and Buttrey SE. 2008. “A comparison of robust metamodels for the uncertainty quantification (UQ) of New York Harbor oceanographic data.” Journal of Operational Oceanography, 1(2), 3-13.
Lutz C, Schow G, Kerman M, DiMario M, and Kam A. 2007. “Informing Joint C2 System-of-Systems Engineering with Agent-Based Modeling: An Analysis and Case Study.” Proceedings of the 12th International Command and Control Research and Technology Symposium.
Kerman MC. 2002. Programming and Problem Solving with Delphi, Reading, Massachusetts:Addison Wesley.
Kerman MC. 2001. “The Benefits of Delphi: Confessions of a Visual Basic Convert.” Borland Software Corporation White Paper.
Kerman MC. 2000. “Migrating from Visual Basic to Delphi: An Overview for Programmers and Developers.” Borland Software Corporation White Paper.
Kerman MC and Brown RL. 2000. Computer Programming Fundamentals with Applications in Visual Basic 6.0, Reading, Massachusetts: Addison Wesley.
Kerman MC, Brown GG, and Dell RF. 1998. “Optimally Reorganizing Navy Shore Infrastructure.” Naval Postgraduate School Technical Report NPS-OR-98-006.
Kerman MC. 1997. “Optimally Reorganizing Navy Shore Infrastructure.” Masters Thesis, Naval Postgraduate School, Department of Operations Research.
“Event Detection Challenges, Methods, and Applications in Natural and Artificial Systems,” 14th International Command and Control Research and Technology Symposium (ICCRTS), Washington, DC, June 2009.
“Robust Metamodels for Uncertainty Quantification and Event Detection,” 76th Military Operations Research Society (MORS) Symposium, New London, CT, June 2008.
“Optimally Reorganizing Navy Shore Infrastructure,” Institute for Operations Research and the Management Sciences (INFORMS), Cincinnati, OH, May 1999.