Operations Research · Transportation & Logistics Systems · Intelligent Decision-Making Website · ResearchGate · ORCID · LinkedIn
M.S. student in Management Science and Engineering at Beihang University, with a background in Mechanical Engineering and research experience in operations research, optimization, and transportation systems.
My research interests focus on optimization models for logistics and transportation systems, including AI-assisted decision-making to support operational decisions, scheduling, and resource allocation. I am also interested in exploring machine learning methods at the intersection of Operations Research and Operations Management.
I am currently developing a MILP framework for Battery-Electric Bus Fleet Charging and Scheduling Optimization. This research focuses on coordinating fleet charging while considering realistic operational and infrastructure constraints. Future research directions include exploring data-driven optimization and heuristic methods for mixed-technology fleets.
The model is implemented in Python and solved using Gurobi Optimizer.
- Operations Research
- AI & Intelligent Decision-Making
- Logistics, Supply Chain & Transportation
Optimization: MILP · Scheduling · Resource Allocation
Programming & Modeling: Python · Gurobi
Emerging Interests: Machine Learning · AI-Assisted Optimization · Data-Driven Decision-Making · Intelligent Transportation & Logistics Systems