Research interests
Methodologies:
- Stochastic Optimization
- Markov Decision Process
- Reinforcement Learning
Applications:
- Resilient Supply Chain
- Transportation Disruptions
Teaching
Academic Career and Positions held to date
- Since 1/2023: Research Assistant at the Chair of Logistics and Supply Chain Management (Prof. Dr. Minner), Technical University of Munich.
Education
- 2020 - 2021: M.Sc. in Industrial and Operations Engineering, University of Michigan, United States
- 2015 - 2019: B.Eng. in Mechanical Engineering, Beihang University, China
Bachelor Theses:
- Ransomware attacks in the manufacturing industry – A case study.
Master Theses:
- A review of local content requirements in the automotive industry and its implications on facility location and supply base/chain design.
- Implementing a sequential decision process model for transportation optimization with cost uncertainty.
- Development of a risk-exposure model to quantify the level of supply chain resilience.
- Resilient transportation network design under disruption risks.