Zhenghao Fan, Research Assistant Professor of Department of Industrial Engineering, Tsinghua University. Zhenghao is committed to system operation researches in the field of intelligent manufacturing and intelligent healthcare, constructing theoretical frameworks and scientific methodologies integrating machine learning, stochastic analysis, simulation, optimization and control. He focuses on the development and application of "smart" and "interconnected" systems and provides decision support for complex service systems with practical and demonstration value for manufacturing systems and healthcare service systems.

2017.8—2022.6, Department of Industrial Engineering, Tsinghua University, Ph.D.

2013.8—2017.6, Department of Industrial Engineering, Tsinghua University, Bachelor.

2022.8—present, Research Assistant Professor of Department of Industrial Engineering, Tsinghua University.

Methodologies: Production System Engineering, Stochastic Model, Distributionally Robust Optimization, Data Mining.

Applications: Intelligent Manufacturing, Intelligent Healthcare.

[1] Construction of Emergency Response Capacity for Public Health Emergencies: Scientific Planning and Real-time Scheduling from the Perspective of System and Big Data, Interdisciplinary Research Project of Public Health, Vanke School of Public Health, Tsinghua University, 2022-2023, Participated.

[2] Intelligent Manufacturing and Logistics System Realizing Dual-Carbon Strategy, Research Project of Tsinghua University Intelligent Logistics and Supply Chain System Research Center, 2022-2023, Participated.

[1] Fan Z, Xie X. A distributionally robust optimisation for COVID-19 testing facility territory design and capacity planning[J]. International Journal of Production Research, 2022: 1-24.

[2] Xie X, Fan Z, Li Y, et al. Combining econometric analysis and simulation modeling to evaluate Population-Based health policies for chronic disease prevention and control[J]. Preventive Medicine Reports, 2021, 24: 101586.

[3] Xie X, Fan Z, Zhong X. Appointment Capacity Planning with Overbooking for Outpatient Clinics with Patient No-Shows[J]. IEEE Transactions on Automation Science and Engineering, 2021, 19(2): 864-883.

[4] Zeng Z, Fan Z, Xie X, et al. A two-level iteration approach for modeling and analysis of rapid response process with multiple deteriorating patients[J]. Flexible Services and Manufacturing Journal, 2020, 32(1): 35-71.

[5] Fan Z, Xie X, Sanchez R A, et al. Overbooking for Specialty Clinics with Patient No-Shows: A Queueing Approach[C]//2018 IEEE 14th International Conference on Automation Science and Engineering (CASE). IEEE, 2018: 396-401.

[1] 2019, "December 9th" Political Instructor Award in Tsinghua University

[2] 2018, IEEE 14th International Conference on Automation Science and Engineering (CASE) Student Travel Award.