SEOR research in modeling and simulation with digital engineering focuses on the development of high-fidelity mathematical representations and computational tools to predict and enhance the performance of complex environments.
Faculty leverage simulation optimization, systems science, and digital twin technology to analyze system-level behaviors and prepare for critical rare-event scenarios. Building on this work, research emphasizes targeted applications of systems science and modeling to support decision-making in complex environments.
Key areas include cost and systems modeling, probabilistic approaches for stochastic analysis, and the application of systems thinking to sociotechnical systems. Faculty also examine network-of-networks systems with a focus on human performance, safety, and risk, and apply queueing theory and simulation methods to better understand uncertainty and rare, high-impact events.
Specialize in Stochastic Models (STM) in your MS in Operations Research and gain the skills to address uncertainty, randomness, and variability using probability and random processes.