王飞帆，清华大学工业工程系副教授。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。

2026.1至今，清华大学工业工程系，副教授

2023.8 – 2026.1，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

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

案例赛道高校组比赛一等奖，“东风日产杯”清华IE亮剑全国工业工程创新大赛，2025

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

公共卫生及卫生管理赛道银奖，首都卫生健康行业青年创新大赛，北京市卫生健康委员会，2025

高质量论文奖，中国优选法统筹法与经济数学研究会工业工程分会学术交流暨学会年会，2024

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

医疗服务系统，生产制造系统

期刊编委工作

2025 – 2026 Special Issue Guest Editor, "Industrial and Systems Engineering for Human-Centered Healthcare Transformation in the Age of AI", IISE Transactions on Healthcare Systems Engineering

2025 – 2026 Special Issue Lead Guest Editor, "New Frontiers in Industrial and Systems Engineering for Healthcare Transformation", IISE Transactions on Healthcare Systems Engineering

学术会议

2025 - 2026 Track chair, "Health Systems", IISE Annual Conference & Expo, Arlington, Texas, USA

2025 - 2026 Track chair, "Systemic Modeling and Optimization for AI-Driven Service Innovation", INFORMS Conference on Service Science, Hangzhou, China

2024 - 2025 Track chair, "Health Systems", IISE Annual Conference & Expo, Atlanta, Georgia, USA

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

服务运作管理

科技与人文研讨课

Yang, Y., Jiang, N., & Wang, F.* (2026). Real-time Control of Proton Therapy Delivery Using Two-Stage Stochastic Programming. IEEE Transactions on Automation Science and Engineering.

Zhang, M., Shahraki, N., & Wang, F.* (2026). Optimizing Technician Staffing and Scheduling in Medical Procedure Services Using Two-Stage Stochastic Integer Programming. IEEE Transactions on Automation Science and Engineering. 23, 3083-3096.

Wang, Y., Wang, F., Wang, D.*, & Chen, N. (2025). A Task-incremental Semi-supervised Meta Learning Method for Few-shot RUL Prediction. Journal of Quality Technology, 1-16.

Wang, F., Su, Y., Ju, F.*, Krishnan, B., Dauod, H., & Patel, N. (2025). Fast Schedule Recovery Method for Semiconductor Packaging Lines With Machine Failures and Constrained Time Windows. IEEE Transactions on Automation Science and Engineering. 22, 18076-18087.

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)

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) (pp. 478-483). IEEE.

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) (pp. 1298-1303). IEEE. (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.