Jie Xu, PhD

My research interests include digital twin, simulation, artificial intelligence/machine learning, with interdisciplinary applications in electric vehicles, power systems, manufacturing, cloud computing, healthcare, and transportation. I have led projects sponsored by the National Science Foundation, Air Force Office of Scientific Research, UChicago/Argonne LLC, Jeffress Trust Interdisciplinary Awards program, Department of Energy, to develop novel data analytics, machine learning, simulation, and optimization methods for interdisciplinary applications including the strengthening of the electric grid for the transition to an electrified transportation sector, hardening the electric grid to improve its weather resilience, optimizing semiconductor manufacturing production plans, and digital twin-based decision support for maritime logistics operations.

• Strengthening American Electricity Infrastructure for an Electric Vehicle Future: An Energy Justice Approach
• Graph-based Cyber Attack Detection and Mitigation in Power Grids
• Large-scale Simulation-based Optimization and Machine Learning for Resilient Power Grid
• Improving Power Grids Weather Resilience through Model-free Dimension Reduction and Stochastic Search for Optimal Hardening