师资队伍

教师队伍

王飞帆助理教授

  • 姓名:王飞帆

  • 办公电话: +86-10-627-88946

  • 邮箱:wangfeifan@tsinghua.edu.cn

  • 传真号码:

  • 地点:清华大学舜德楼220B

  • 教师主页:https://www.wang-feifan.com/

个人简介

王飞帆,清华大学工业工程系助理教授。博士毕业于美国亚利桑那州立大学。曾在美国梅奥医疗中心担任助理教授/分析师。研究方向为复杂系统的建模、分析、优化和控制,及其在医疗服务系统和生产制造系统的应用。研究成果获得IISE Transactions设计与制造最佳论文奖、国际学术会议IEEE CASE最佳学生论文奖、IEEE CASE医疗自动化最佳论文奖。

工作经历

2023.8至今,清华大学工业工程系,助理教授

2021.3 – 2023.6,美国梅奥医疗中心,助理教授/分析师

教育背景

2016.8 – 2021.5,美国亚利桑那州立大学,工业工程,博士

2013.9 – 2016.3,浙江大学,工业工程,硕士

2009.9 – 2013.6,浙江工业大学,工业工程,学士

所获奖励

医疗自动化最佳论文奖,电气与电子工程师学会自动化科学与工程国际会议(IEEE CASE),2025

医疗自动化最佳论文奖提名,电气与电子工程师学会自动化科学与工程国际会议(IEEE CASE),2023

医疗自动化最佳论文奖提名,电气与电子工程师学会自动化科学与工程国际会议(IEEE CASE),2021

设计与制造最佳论文奖,工业与系统工程学会会刊(IISE Transactions),2021

院长博士论文奖(Dean's Dissertation Award),美国亚利桑那州立大学,2020

最佳学生论文奖,电气与电子工程师学会自动化科学与工程国际会议(IEEE CASE),2019

IISE Transactions论文在ISE杂志被报道,2019

研究兴趣

医疗服务系统,生产制造系统

学术服务

期刊编委工作

2025 Special Issue Lead Guest Editor, IISE Transactions on Healthcare Systems Engineering


学术会议

Track chair, "Health Systems", 2026 IISE Annual Conference & Expo, Arlington, Texas, USA

Track chair, "Health Systems", 2025 IISE Annual Conference & Expo, Atlanta, Georgia, USA

教学

研究生课程

高级运筹学II:随机过程

医疗服务系统的人工智能理论与应用


本科生课程

生产计划与控制

科技与人文研讨课

期刊论文

Zhang, M., Shahraki, N., & Wang, F.* (2025) Optimizing Technician Staffing and Scheduling in Medical Procedure Services Using Two-Stage Stochastic Integer Programming. IEEE Transactions on Automation Science and Engineering. (accepted)

Wang, F., Su, Y., Ju, F.*, Krishnan, B., Dauod, H., & Patel, N. (2024). Fast Schedule Recovery Method for Semiconductor Packaging Lines With Machine Failures and Constrained Time Windows. IEEE Transactions on Automation Science and Engineering.

Wang, F., Huang, Y.*, & Ju, F. (2023). Simulation Optimization Gantry Call-back Control Method for Proton Therapy Systems. IEEE Transactions on Automation Science and Engineering, 20(3), 1565-1576.

Wang, F., Huang, Y. L.*, Ju, F., & Grega, J. C. (2022). Resident Rotation Scheduling for Categorical Internal Medicine Residency Program. IEEE Robotics and Automation Letters, 7(2), 4142-4148.

Fathizadan, S., Ju, F.*, Wang, F., Rowe, K., & Hofmann, N. (2022). Dynamic Material Deposition Control for Large-Scale Additive Manufacturing. IISE Transactions, 54(9), 817-831.

Wang, F., & Ju, F.* (2021). Decomposition-based Real-time Control of Multi-stage Transfer Lines with Residence Time Constraints. IISE Transactions, 53(9), 943-959.

Wang, F., Fathizadan, S., Ju, F.*, Rowe, K., & Hofmann, N. (2021). Print Surface Thermal Modeling and Real-Time Layer Time Control for Large-Scale Additive Manufacturing. IEEE Transactions on Automation Science and Engineering, 18(1), 244-254.

Wang, F., & Ju, F.* (2021). Transient and Steady-state Analysis of Multistage Production Lines with Residence Time Limits. IEEE Transactions on Automation Science and Engineering, 18(1), 122-134.

Wang, F., Ju, F.*, & Kang, N. (2019). Transient Analysis and Real-time Control of Geometric Serial Lines with Residence Time Constraints. IISE Transactions, 51(7), 709-728. (Design and Manufacturing Best Paper Award, Featured Article in ISE Magazine)

会议论文

Zhang, M., Zhao, Y.*, & Wang, F. (2025, August). Addressing the Allocation of Medical Examination Resources Using Simulation. 2025 IEEE 21th International Conference on Automation Science and Engineering (CASE) (accepted)

Zong, F., Zhang, M., Zhao, Y., Fan, Z., & Wang, F.* (2025, August).  Dynamic Allocation of Medical Examination Resources in Hospitals with Varying Appointment Preferences. 2025 IEEE 21th International Conference on Automation Science and Engineering (CASE) (accepted) (Best Healthcare Automation Paper Award)

Li, M., He, Y., Guo, L., & Wang, F.* (2024, August). Real-time Service Capacity Allocation with Advance Arrival Information and Instantaneous Services. In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE) (pp. 684-689). IEEE.

Wang, F.*, Jones, D., Walker, L., Borah, B., & Salehinejad, H. (2023, August). Partially Observable Markov Decision Process Model for Dynamic Human Activity Recognition using Radio Frequency Signals. In 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE) (pp. 1-6). IEEE.

Wang, F.*, Huang, Y., Graff, S., & Peterson, J. (2023, August). Technician Scheduling and Staffing for Medical Procedures in Heart Rhythm Services. In 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE) (pp. 1-6). IEEE. (Best Healthcare Automation Paper Award Finalist)

Wang, F., & Huang, Y. L.* (2022, August). Impacts of Proton Accelerator Upgrade on System Level Performance of Proton Therapy Systems. In 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (pp. 799-804). IEEE.

Wang, F., & Ju, F.* (2022, August). Simulation-based Real-time Production Control with Different Classes of Residence Time Constraints. In 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (pp. 1860-1865). IEEE.

Wang, F., Huang, Y. L., & Ju, F.* (2021, August). Rollout-based Gantry Call-back Control for Proton Therapy Systems. In 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE) (pp. 962-967). IEEE. (Best Paper Award on Healthcare Automation Finalist)

Wang, F., Ju, F.*, Rowe, K., & Hofmann, N. (2019, August). Real-time Control for Large Scale Additive Manufacturing Using Thermal Images. In 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE) (pp. 36-41). IEEE. (Best Student Paper Award)

Wang, F., Lu, Y., & Ju, F.* (2018, August). Condition-based Real-time Production Control for Smart Manufacturing Systems. In 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) (pp. 1052-1057). IEEE.

Wang, F., Ju, F.*, & Lu, Y. (2017, August). A Study on Performance Evaluation and Status-based Decision for Cyber-physical Production Systems. In 2017 13th IEEE International Conference on Automation Science and Engineering (CASE) (pp. 1000-1005). IEEE.