2014.08-2018.07, Ph.D in Operations Research (Transportation), The University of Hong Kong
2010.08-2014.06, B.Eng in Mechatronics Engineering, Zhejiang University

2022.01-now, Associate professor, Department of Industrial Engineering and Management, Shanghai Jiao Tong University
2019.08-2021.12, Assistant professor, Department of Industrial Engineering and Management, Shanghai Jiao Tong University
2018.12-2019.07, Senior Algorithm Engineer, Alibaba-Cainiao Artificial Intelligence
2018.08-2018.12, Research Assistant, Department of IMSE, The University of Hong Kong
2016.08-2016.12, Research Assistant, Business Administration, National Taiwan University

Stochastic behavior of transportation systems
Intelligent transportation systems
Operations Research/Data Analytics/Artificial intelligence

Performance evaluation and structure optimization for air transport networks based on alternative relations between airports, 72001137, NSFC, PI.

[19] Zhou, Y., Li, S., & Wang, J. (2021). Modeling stochastic behavior of road networks with disruptions using percolation theory. IEEE Transactions on Intelligent Transportation Systems, 1-12.
[18] Zhou, Y., Kundu, T., Qin, W., Goh, M., & Sheu, J. B. (2021). Vulnerability of the worldwide air transportation network to global catastrophes such as COVID-19. Transportation Research Part E, 154, 102469.
[17] Li, S., Zhou, Y.*, Kundu, T., & Sheu, J. B. (2021). Spatiotemporal variation of the worldwide air transportation network induced by COVID-19 pandemic in 2020. Transport Policy, 111, 168-184.
[16] Li, S., Zhou, Y.*, Kundu, T., & Zhang, F. (2021). Impact of entry restriction policies on international air transport connectivity during COVID-19 pandemic. Transportation Research Part E, 152, 102411.
[15] Zhou, Y.*, Li, S., Kundu, T., Bai, X., & Qin, W. (2021). The impact of network topology on air transportation robustness to pandemics. IEEE Transactions on Network Science and Engineering, 8(3), 2249-2261.
[14] Zhou, Y., Kundu, T., Goh, M., & Sheu, J. B. (2021). Multimodal transportation network centrality analysis for Belt and Road Initiative. Transportation Research Part E, 149, 102292.
[13] Qin, W., Zhuang, Z., Zhou, Y.*, & Sun, Y. (2021). Dynamic dispatching for interbay automated material handling with lot targeting using improved parallel multiple-objective genetic algorithm. Computers & Operations Research, 131, 105264.
[12]Qin, W., Sun, Y., Zhuang, Z., Lu, Z., & Zhou, Y. (2021). Multi-agent reinforcement learning-based dynamic task assignment for vehicles in urban transportation system. International Journal of Production Economics, 240, 108251.
[11] Bai, X., Zhang, X., Li, K. X., Zhou, Y., & Yuen, K. F. (2021). Research Topics and Trends in the Maritime Transport: a Structural Topic Model. Transport Policy, 102, 11-24.
[10] 李思平, 周耀明*. (2021). 全球疫情下的中国内地航空网络对外连通性. 航空学报, 42(6), 568-580.
[9] Zhou, Y., Wang, J., & Sheu, J. B. (2019). On connectivity of post-earthquake road networks. Transportation Research Part E, 123, 1-16.
[8] Zhou, Y., Wang, J., & Huang, G. Q. (2019). Efficiency and robustness of weighted air transport networks. Transportation Research Part E, 122, 14-26.
[7] Zhou, Y., Wang, J., & Yang, H. (2019). Resilience of transportation systems: concepts and comprehensive review. IEEE Transactions on Intelligent Transportation Systems, 20(12), 4262-4276.
[6] Wang, J., Zhou, Y.*, & Huang, G. Q. (2019). Alternative pair in the airport network. Transportation Research Part A, 124, 408-418.
[5] Zhou, Y., & Wang, J. (2018). Critical link analysis for urban transportation systems. IEEE Transactions on Intelligent Transportation Systems, 19(2), 402-415.
[4] Zhou, Y., & Wang, J. (2018). Efficiency of complex networks under failures and attacks: A percolation approach. Physica A, 512, 658-664.
[3] Zhou, Y., Sheu, J. B., & Wang, J. (2017). Robustness assessment of urban road network with consideration of multiple hazard events. Risk Analysis, 37(8), 1477-1494.
[2] Wang, J., Wang, H., Zhou, Y., Wang, Y., & Zhang, W. (2017). On an integrated approach to resilient transportation systems in emergency situations. Natural Computing, 18(4), 815-823.
[1] Zhou, Y., Huang, H., Ding, J., Wang, H., Chen, Y., & Wang, J. (2016). Modeling chlorophyll a concentration affected by artificial upwelling in Qiandao Lake. IEEE Journal of Oceanic Engineering, 41(4), 960-969.

A three-axis scalable Remote Operated Vehicle, China Patent CN 103170975 B. 2015.09.09.

Conference Session chair:
The 5th Institute of Industrial and Systems Engineers Asian Conference, 2016
Referee:
Transportation Research Part B
Transportation Research Part E (Outstanding reviewer, 2017) IEEE transactions on intelligent transportation systems