معرفی
Ran Ji is an Assistant Professor in the Department of Systems Engineering and Operations Research at George Mason University, affiliated with the College of Engineering and Computing. His research focuses on stochastic optimization, distributionally robust optimization, uncertainty quantification, and data-driven decision-making across domains like financial risk modeling, supply chain analytics, and disaster management. He teaches in the Data Analytics Engineering Program, emphasizing hands-on skills with state-of-the-art tools.
Education includes a PhD in Decision Sciences from George Washington University (GWU), an MS in Systems Engineering from GWU, and a BE in Hydraulic and Hydropower Engineering from China Agricultural University.
Research interests span optimization under uncertainty, disaster relief logistics, machine learning applications in engineering systems, and equity-focused resource allocation. His work integrates advanced mathematical programming with real-world challenges in finance, supply chains, and environmental systems.
Recent studies include optimizing hurricane shelter locations using predictive frameworks, enhancing equity in disaster relief through multi-objective optimization, and developing distributionally robust models for humanitarian networks. He also explores machine learning-driven approaches for disaster preparedness assessments and smart municipal waste management systems.
No scientific awards are explicitly listed in the provided materials. Advising and grants details are not specified here, but his research spans collaborative efforts in interdisciplinary applications of optimization and analytics.
His work contributes to labs and teams focused on systems engineering resilience, data-driven decision-making, and applied operations research solutions for societal challenges.
