教育背景

• Ph.D.     The Hong Kong University of Science and Technology, Industrial Engineering and Logistics Management

• B.S.        University of Science and Technology of China, Applied Mathematics 

研究兴趣

• Simulation Optimization, Robust Optimization and their applications in Healthcare 

工作经历

• 2018/09 – present  Assistant Professor, Advanced Institute of Business, Tongji University

• 2015/09 – 2018.08  Assistant Professor, Department of Management Science, School of Management, University of Science and Technology 

科研成果

Refereed Journal Publications (Chronological, alphabetical)

1.    Zaile Li, Weiwei Fan (范薇薇), L. Jeff Hong (2024) The (Surprising) Sample Optimality of Greedy Procedures for Large-Scale Ranking and Selection. Management Science 0(0).

2.    Weiwei Fan (范薇薇), L. Jeff Hong and Xiaowei Zhang. (2020) Distributionally robust selection of the best. Management Science

3.    Jeff Hong, Weiwei Fan (范薇薇), Jun Luo. “Review on Ranking and Selection: A New Perspective”. Frontiers of Engineering Management

4.    Weiwei Fan (范薇薇), L. Jeff Hong and Barry Nelson. (2016) Indifference-zone-free selection of the best. Operations Research. 64 (6): 1499-1514.

Refereed Conference Proceedings

1.    Weiwei Fan (范薇薇), L. Jeff Hong. (2014) A new frequentist selection-of-the-best procedure without indifference zone. Proceedings of the 2014 Winter Simulation Conference, 3737-3748.

2.    Weiwei Fan (范薇薇), L. Jeff Hong. (2013) Robust selection of the best. Proceedings of the 2013 Winter Simulation Conference, 868-876.

Conference Presentations

1.   “Distributionally robust selection of the best”. The INFORMS 2016 International Meeting, Hawaii, USA, 2016.

2.    “A new frequentist selection-of-the-best procedure without indifference zone”. The 2014 Winter Simulation Conference, Savannah, USA, 2014

Granted Research Project

1.   数据驱动的手术排程仿真优化方法研究，国家自然科学基金青年基金项目，主持人：范薇薇，2018.1-2020.12

2.   全生命周期、个性化慢性病健康管理中的仿真优化方法研究，国家自然科学基金面上项目，主持人：范薇薇，2021.1.1~2024.12.31.

社会服务

• Reviewer for Operations Research, ACM Transactions on Modeling and Computer Simulation