University of Nottingham Ningbo China
Nottingham University Business School China
  • Intranet

Zhen Tan

Assistant Professor in Operations Management  , Nottingham University Business School China


PhD (Cornell University) 
MS (Zhejiang University)
BS (Tongji University)


  • Room 382, Trent Building,  
  • +86 (0)574 8818 0000 Ext. 8256
  • +86 (0)574 8818 0125
Zhen Tan



Zhen Tan joined the Faculty of Business at UNNC in September 2018. Before that, he obtained his PhD in transportation systems engineering from Cornell University, USA, with minors in applied mathematics and operations research. He received his BS and MS in China and had some working experience in consulting and IT companies. His current research areas include urban transport management, supply chain design and operations, smart city technologies and sustainable development. He is also affiliated to the Artificial Intelligence & Optimization group in the department of Computer Science at UNNC. 

Teaching Summary


Logistics and Supply Chain Management

Management Studies 2


Operations and Supply Chain Strategy and Practice

Research Summary

My research is about designing practical solutions to existent and new management and operation problems in mobility, logistics and service systems in general, with the goal of efficiency and sustainability. Due to the interdisciplinary nature of my research, different methodologies are employed such as mathematical programing, machine learning, simulation and experiment.   

Research Interests

Smart city and supply chains, sustainability, network optimization and algorithms.

Selected Journal Publications

1. Hybrid Model Predictive Control based Dynamic Pricing of Managed Lanes with Multiple Accesses (2018). Transportation Research Part B: Methodological, 112: 113-131.

2. Simulation analysis of traffic signal control and transit signal priority strategies under Arterial Coordination Conditions (2018). SIMULATION: Transactions of The Society for Modeling and Simulation International, Feb 2018, 1-14.

3. Optimizing Vents Layout and Configuration of Complex Urban Tunnels for Air Quality Management (2017). IEEE Transactions on Control Systems Technology, 26(1): 368-376.

4. Traffic Control for Air Quality Management and Congestion Mitigation in Complex Urban Vehicular Tunnels. Transportation Research Part C: Emerging Technologies (2015), 58: 13-28.

5. Adaptive Fine Pollutant Discharge Control for Motor Vehicles Tunnels under Traffic State Transition (2015). IET Intelligent Transport Systems, 9(8): 783-791.

Conference proceedings/presentations

1. “Bayesian Inference for Static Traffic Network Flows with Mobile Sensor Data” (2018). Proceedings of 51st Hawaii International Conference on System Sciences, 969-978.

2. “Ventilation Control in Complex Tunnels with Distributed Vents” (2018). Proceedings of 2018 American Control Conference, 559-564.

3. “Bayesian Ranking and Selection Model for Second-Best Network Pricing Problem” (2016). Proceedings of the 2016 Winter Simulation Conference, 2487-2498.

4. Congestion Pricing for Informed Users with Risk Neutral Time Cost and Risk Averse Health Cost. 2016 INFORMS Annual Meeting, Nashville, TN, 2016.

5. Traffic Management and Ventilation Control for Complex Urban Tunnels. Lloyd's Register Foundation--Transport and Environment International Symposium (invited talk), Shanghai Maritime University, Shanghai, China, 2015.

6. A Nonlinear Programming Approach for Multi-Point Pollutant Discharge Control in Urban Vehicular Tunnels. Transportation Research Board 93rd Annual Meeting, Washington D.C., 2014.

7. “Simulation Analysis of Longitudinal Ventilation System with Jet Fan Speed Control for MPC strategy in a Road Tunnel” (2012). Proceedings of IEEE 15th International Conference on Intelligent Transportation Systems, 1271-1276.