Matthew J. Hoffman


Matthew J. Hoffman

Principal Member of Technical Staff

Contact Information

Matthew J. Hoffman / 505-844-4195


Matthew Hoffman has over 18 years of experience in project leadership and in simulation, optimization and data analytics of complex systems for national security. He received his MS in applied mathematics from the New Mexico Institute of Mining and Technology, where his work on hybrid (continuous-discrete) dynamical systems involved extensive improvements to a power systems dynamics research code. At Sandia he has focused on applied optimization research, and in 2015 he was named an INFORMS Franz Edelman Laureate for leading work “representative of the best applications of analytical decision making in the world” optimizing multi-billion-dollar strategic investment decisions for the US Army. For Sandia’s EMP Grand Challenge he led work (1) characterizing cascading failure modes of the power grid in response to high-altitude electromagnetic pulse and (2) optimizing the post-cascade stability and operating state of the grid prior to restoration from severe emergencies. He was also the initial PI of a recent R&D project on stochastic resilience planning optimization for the grid incorporating dynamic effects of major disruptions.


    Masters of Science, Applied Mathematics, New Mexico Institute of Mining and Technology, 2007
    Bachelors of Science, Applied Mathematics

U.S. Patents

    “Seeding and Healing a Genetic Algorithm to Mitigate Irreducible Complexity,” US16596866, patent pending
    “Systems and Methods for Integrating Fleet Composition and Component System Design,” US16900575, patent pending

    “Methods, Systems and Computer Program Products for Determining the Sensitivity of Systems of Systems,” Provisional patent SD14162/S147240

Google Scholar:

Key Publications

    Stewart, N., Arguello, B., Hoffman, M., Nicholson, B., & Garrett, R. (2023). Optimal mitigation and control over power system dynamics for stochastic grid resilience. Optimization and Engineering, 1-30.
    Henry, S. M., Hoffman, M. J., Waddell, L. A., & Muldoon, F. M. (2023). Holistic fleet optimization incorporating system design considerations. Naval Research Logistics (NRL), 70(7), 675–690.
    Yang, B., Hoffman, M., & Brown, N. (2023). Bayesian Networks for Interpretable Cyberattack Detection. Proceedings of the 56th Hawaii International Conference on System Sciences, 1249-1258.
    Arguello, Bryan, Hoffman, Matthew J., Stewart, Nathan A., Nicholson, Bethany L., Garrett, Richard A., & Moog, Emily. Dynamics Informed Optimization for Resilient Energy Systems. United States.
    Hoffman, M. J., Nelson, A. M., Arguello, B., Pierre, B. J., & Guttromson, R. T. (2021, July). Optimizing Power System Stability Margins After Wide-Area Emergencies. In 2021 IEEE Power & Energy Society General Meeting (PESGM) (pp. 01-05). IEEE.
    Arguello, B., Stewart, N., & Hoffman, M. (2021). Stochastic Optimization of Power System Dynamics for Grid Resilience. In Proceedings of the 54th Hawaii International Conference on System Sciences (p. 3359).
    Pierre, Brian Joseph, Krofcheck, Daniel Joseph, Hoffman, Matthew John, Guttromson, Ross, Schiek, Richard, & Quiroz, Jimmy Edward. Modeling Framework for Bulk Electric Grid Impacts from HEMP E1 and E3 Effects (Tasks 3.1 Final Report). United States.
    Hoffman, M., Bussell, S., & Brown, N. (2021). A Minimally Supervised Event Detection Method. In Advances in Artificial Intelligence, Software and Systems Engineering: Proceedings of the AHFE 2021 Virtual Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, July 25-29, 2021, USA (pp. 14-22). Springer International Publishing.
    Pierre, B. J., Guttromson, R. T., Eddy, J. P., et al. (2020) A Framework to Evaluate Grid Consequences from High Altitude EMP Events. HEART 2020 (accepted).
    Guttromson, Ross, Lawton, Craig, Halligan, Matthew, Huber, Dale, Flicker, Jack, Hoffman, Matthew, Bowman, Tyler, Campione, Salvatore, Clem, Paul, Fiero, Andrew, Hansen, Clifford, Llanes, Rodrigo, Pfeiffer, Robert, Pierre, Brian, San Martin, Luis, Sanabria, David, Schiek, Richard, Slobodyan, Oleksiy, & Warne, Larry. Electromagnetic Pulse – Resilient Electric Grid for National Security: Research Program Executive Summary. United States.
    Henry, S., Dessanti, A., Hoffman, M., & Gauthier, J. (2019). Ultra-High-Dimensional Optimization and Interactive Requirements Negotiation for New Acquisition Programs. MORS 2019 Richard H. Barchi Prize Competition paper.
    Davis, S. J., Edwards, S. B., et al. (2016). Maximizing the US Army’s Future Contribution to Global Security Using the Capability Portfolio Analysis Tool (CPAT). Interfaces, 46(1), 91-108.
    Hoffman, M., Schaffer, S., & Wedeward, K. (2009, July). Parameter estimation in delayed-switching hybrid dynamical systems. In 2009 IEEE Power & Energy Society General Meeting (pp. 1-6). IEEE.