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Feifan Wang, Assistant Professor

Contacts

Name: Feifan Wang Phone: E-mail: wangfeifan@tsinghua.edu.cn Fax: Address: Shunde Building, Tsinghua University Homepage:


Biography

Feifan Wang is an Assistant Professor in the Department of Industrial Engineering at Tsinghua University. He obtained his Ph.D. in 2021 from Arizona State University. Prior to joining Tsinghua University, he worked at Mayo Clinic. His research focuses on modeling, analysis, optimization, and control of complex systems, with applications in healthcare delivery systems and production systems. His research has been recognized with the Best Paper Award from IISE Transactions and Best Student Paper Award from IEEE International Conference on Automation Science and Engineering (CASE). He has been a finalist for the Best Paper Award on Healthcare Automation from IEEE CASE twice. His Ph.D. dissertation was honored with the Dean’s Dissertation Award from Arizona State University. He will continue his research in the fields of intelligent healthcare and smart manufacturing.


Employment History

August 2023 – Present, Assistant Professor, Department of Industrial Engineering, Tsinghua University

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


Education Background

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.


Honors and Awards

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

Outstanding Graduates Award, Education Department of Zhejiang Province, China, 2013

National Undergraduate Scholarship, Ministry of Education of the People’s Republic of China, 2011

National Undergraduate Scholarship, Ministry of Education of the People’s Republic of China, 2010


Research Interests

Healthcare delivery systems, production systems.


Publications

Journal Articles

Wang, F., Huang, Y.*, & Ju, F. (2022). Simulation Optimization Gantry Call-back Control Method for Proton Therapy Systems. IEEE Transactions on Automation Science and Engineering. https://doi.org/10.1109/TASE.2022.3198106

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. https://doi.org/10.1109/LRA.2022.3150515

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. http://doi.org/10.1080/24725854.2021.1956702

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. http://doi.org/10.1080/24725854.2020.1803513

Wang, F., Fathizadan, S., Ju, F.*, Rowe, K., & Hofmann, N. (2020). 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. http://doi.org/10.1109/TASE.2020.3001047

Wang, F., & Ju, F.* (2020). Transient and Steady-state Analysis of Multi-stage Production Lines with Residence Time Limits. IEEE Transactions on Automation Science and Engineering, 18(1), 122-134. http://doi.org/10.1109/TASE.2020.2979179

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. http://doi.org/10.1080/24725854.2018.1511937 (Design and Manufacturing Best Paper Award, Featured Article in ISE Magazine)


Conference Proceedings

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

Wang, F.*, Huang, Y., Graff, S., & Peterson, J., Technician Scheduling and Staffing for Medical Procedures in Heart Rhythm Services. IEEE 19th International Conference on Automation Science and Engineering (CASE). (Accepted) (Best Paper Award on Healthcare Automation 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. http://doi.org/10.1109/CASE49997.2022.9926654

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. http://doi.org/10.1109/CASE49997.2022.9926676

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. http://doi.org/10.1109/CASE49439.2021.9551416 (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. http://doi.org/10.1109/COASE.2019.8843264 (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. http://doi.org/10.1109/COASE.2018.8560389

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. http://doi.org/10.1109/COASE.2017.8256233

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Department of Industrial Engineering, Tsinghua University
Phone: 010-62772989
Fax:010-62794399
E-mail:ieoffice@tsinghua.edu.cn
Address:Shunde Building, Tsinghua University, Beijing 100084


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