Sandia Energy > Programs > Electric Grid > Advanced Grid Modeling > Key Personnel > Bryan Arguello Brian Arguello Senior Member of the Technical Staff Contact Information Bryan Arguello / 505-845-1114 Biography Bryan is an optimization modeler who has focused on power grid resiliency and microgrid cost analysis. In addition, he has a keen interest in scheduling problems. Education Masters of Science in Engineering, Operations Research from the University of Texas at Austin Masters of Art, Mathematics from the University of Colorado Boulder Bachelors of Science, Applied Mathematics and Computer Science from Colorado School of Mines Google Scholar: Bryan Arguello Key Publications 2019 A Castillo, B Arguello, G Cruz, L Swiler, “Cyber-Physical Emulation and Optimization of the Worst-Case Cyber-Attacks on the Power Grid,” 2019 Resilience Week (RWS) 1, 14-18 2018 N Brown, B Arguello, L Nozick, N Xu, “A Heuristic Approach to Satellite Range Scheduling with Bounds Using Lagrangian Relaxation,” IEEE Systems Journal, 2018 – ieeexplore.ieee.org B Arguello, BJ Pierre, “Co-optimization to Integrate Power System Reliability Decisions with Resiliency Decisions,” Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States) BJ Pierre, B Arguello, “Investment Optimization to Improve Distribution System Reliability Metrics,” 2018 IEEE Power & Energy Society, 2018 – ieeeexplore.ieee.org. BJ Pierre, B Arguello, A Staid, “Investment optimization to improve power system resilience,” 2018 IEEE International …, 2018 – ieeexplore.ieee.org