Feifan Wang is an Associate Professor in the Department of Industrial Engineering at Tsinghua University. He obtained his Ph.D. from Arizona State University. Prior to joining Tsinghua University, he was an Assistant Professor / Analyst with Mayo Clinic. His research focuses on modeling, analysis, optimization, and control of complex systems, with applications in healthcare systems and production systems. His research has been recognized with the Best Paper Award from IISE Transactions, Best Student Paper Award from IEEE International Conference on Automation Science and Engineering (IEEE CASE), and Best Healthcare Automation Paper Award from IEEE CASE.

Jan. 2026 – Present, Associate Professor, Department of Industrial Engineering, Tsinghua University

August 2023 – Jan. 2026, Assistant Professor, Department of Industrial Engineering, Tsinghua University

March 2021 – June 2023, Assistant Professor / Analyst, Mayo Clinic

Ph.D., May 2021, Industrial Engineering, School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, USA.

M.S., March 2016, Industrial Engineering, Department of Industrial and Systems Engineering, Zhejiang University, China.

B.S., June 2013, Industrial Engineering, Department of Industrial Engineering, Zhejiang University of Technology, China.

First-Class Prize, University Division of Case Competition Track, “Dongfeng-Nissan Cup” Tsinghua IE National Industrial Engineering Innovation Competition, 2025

Best Paper Award on Healthcare Automation, IEEE International Conference on Automation Science and Engineering (CASE), 2025

Silver Award, Capital Health Industry Youth Innovation Competition (Public Health & Health Management Track), Beijing Municipal Health Commission, 2025

High-Quality Paper Award, Academic Exchange Conference & Annual Meeting of the Industrial Engineering Chapter, Chinese Society of Optimization, Overall Planning and Economical Mathematics, 2024

Best Paper Award on Healthcare Automation Finalist, IEEE International Conference on Automation Science and Engineering (CASE), 2023

Best Paper Award on Healthcare Automation Finalist, IEEE International Conference on Automation Science and Engineering (CASE), 2021

Design and Manufacturing Best Paper Award, IISE Transactions, 2021

Dean's Dissertation Award, Arizona State University, 2020

Best Student Paper Award, IEEE International Conference on Automation Science and Engineering (CASE), 2019

Featured Article in IISE Transactions, ISE Magazine, 2019

Healthcare systems, production systems

Graduate Courses

Advanced Operations Research II: Stochastic Processes

Theories and Applications of Artificial Intelligence in Healthcare Systems

Undergraduate Courses

Production Planning and Control

Service Operations Management

Seminar on Science, Technology and Humanities

Journal Editorial Work

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

Conference Service

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

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.