王凯，澳门太阳集团网站入口副教授、博士生导师、滴滴出行冠名副教授。曾就职于麻省理工学院（博士后）以及卡耐基梅隆大学（研究员）；博士毕业于香港理工大学。主要研究方向为智能交通系统，包括低空智能交通；车辆群体智能；共享出行等。主持和参与基金委优青、重点、国际合作交流项目等。多项研究成果发表在交通优化领域顶级期刊，如Operations Research、Management Science、Transportation Science、Transportation Research Part B等，并获得多项权威国际协会所颁发奖项。
2016-2019 | 香港理工大学 | 博士 |
2014-2016 | 新加坡国立大学 | 理学硕士 |
2010-2014 | 上海大学 | 管理学学士 |
2019/08-2021/07 | 麻省理工学院 | 博士后 |
2021/08-2022/06 | 卡内基梅隆大学 | 研究员 |
2022/07-2024/06 | 澳门太阳娱乐网站官网 | 助理教授 |
2024/07-至今 | 澳门太阳娱乐网站官网 | 副教授 |
方法：大规模优化；不确定性优化；数据驱动决策；机器学习
应用：智能交通系统；低空智能交通；车辆群体智能；共享出行
主持多项智能交通、低空交通、智慧城市与城市物流相关项目：
[1] 国家自然科学基金优秀青年科学基金项目，复杂交通与物流系统优化，2024-01至2026-12，200万元，主持
[2] 2023年奇瑞股份“飞行汽车（一阶段）”项目，2023-11至2024-12，935万元，主持
[3] 国家自然科学基金重点项目，面向重大突发事件的城市智慧运营调度理论与方法，2024-01至2028-12，165万元，课题负责人（主持32万经费）
[4] 国家自然科学基金国际(地区)合作与交流项目，面向绿色城市物流服务优化研究，2023-05至2026-04，200万元，课题负责人（主持80万经费）
[5] 汽车安全与节能国家重点实验室自主科研课题, 低空智能交通系统与飞行汽车电池技术交互研究, 2022-08 至 2023-12, 50万元, 主持
[6] 国家自然科学基金面上项目，面向复杂巡检场景的无人机路径优化问题研究，2022-01至2025-12，47万元，参与
澳门太阳娱乐网站官网指导博士生2名，合作指导博士生3名；
麻省理工学院合作指导博士生1人、硕士生2人；
香港理工大学合作指导博士生2人、硕士生1人。
2024/03至今，《Fundamental Research》，青年编委
2023/06至今，《Transportation Research Part E》期刊，编委
2023/03-2024/03，《Transportation Research Part A》期刊，特刊主编
2023/02-2024/01，《Transportation Research Part E》期刊，特刊主编
2023/03-2024/09，《工程管理前沿》期刊，特刊主编
2022/08-2023/04，《中国公路学报》期刊，特刊主编
| 2024年 | 计算交通科学年会，最佳论文奖 |
| 2023年 | INFORMS国际会议，Harvey Greenberg Research奖项 |
| 2023年 | 美国运筹学和管理科学研究协会（INFORMS），Transportation Science期刊杰出审稿服务奖 |
| 2022年 | 美国土木工程师协会（ASCE），Journal of Transportation Engineering, Part A: Systems期刊杰出审稿人 |
2021年 | INFORMS国际会议，交通科学与物流（Transportation Science & Logistics）最佳论文奖 |
2021年 | INFORMS国际会议，航空应用（Aviation Applications Section）最佳论文奖 |
2020年 | INFORMS国际会议，数据挖掘与决策分析（Data Mining and Decision Analytics）最佳论文奖 |
2019年 | AGIFORS企业协会，学术奖 |
2018年 | 6ISRERM国际会议，最佳学生论文奖 |
2017年 | 中国物流学会, 优秀论文奖二等奖 |
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[2] Ding, Y., Wang, K., Zhang, L., & Qu, X. (2024). Exploring the benefits of personal rapid transit in metropolitan area. Communications in Transportation Research, 4, 100117.
[3] Ding, Y., Wan, J., Lin, W., & Wang, K. (2024). Coordinated last-mile deliveries with trucks and drones: A comparative study of operational modes. Journal of the Air Transport Research Society, 100025.
[4] Cui, S., Xue, Y., Gao, K., Wang, K., Yu, B., & Qu, X. (2024). Delay-throughput tradeoffs for signalized networks with finite queue capacity. Transportation Research Part B: Methodological, 180, 102876.
[5] Zhang, W., Liu, J., Wang, K., & Wang, L. (2024). Routing and charging optimization for electric bus operations. Transportation Research Part E: Logistics and Transportation Review, 181, 103372.
[6] Wang, K., Aydemir, M., & Jacquillat, A. (2023). Scenario-based robust optimization for two-stage decision making under binary uncertainty. INFORMS Journal on Optimization, 6(2), 84-117.
[7] Liu, Y., Wu, F., Liu, Z., Wang, K., Wang, F., & Qu, X. (2023). Can language models be used for real-world urban-delivery route optimization?. The Innovation, 4(6).
[8] Wu, Y., Wang, S., Zhen, L., Laporte, G., Tan, Z., & Wang, K. (2023). How to operate ship fleets under uncertainty. Production and Operations Management, 32(10), 3043-3061.
[9] Wang, K., Li, A., & Qu, X. (2023). Urban aerial mobility: Network structure, transportation benefits and Sino-US comparison. The Innovation, 100393.
[10] Wang, K., Qu, X. (2023). Urban aerial mobility: Reshaping the future of urban transportation. The Innovation, 100392.
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[12] Zhang, W., Jacquillat, A., Wang, K., & Wang, S. (2023). Optimized scenario reduction: Solving large-scale stochastic programs with quality guarantees. INFORMS Journal on Computing, 35(4), 711-908.
[13] Wang, K., Jacquillat, A., & Vaze, V. (2022). Vertiport planning for urban aerial mobility: An adaptive discretization approach. Manufacturing & Service Operations Management, 24(6), 3215-3235.
[14] Zhen, L., Zhuge, D., Wang, S., Wang, K. (2022). Integrated berth and yard space allocation under uncertainty. Transportation Research Part B: Methodological, 162, 1-27.
[15] Lai, X., Wu, L., Wang, K., Wang, F. (2022). Robust ship fleet deployment with shipping revenue management. Transportation Research Part B: Methodological, 161, 169-196.
[16] Qu, X., Zeng, Z., Wang, K., Wang, S. (2022). Replacing urban trucks via ground–air cooperation. Communications in Transportation Research, 2, 100080.
[17] Wang, K., Zhen, L., Xia, J., Baldacci, R., & Wang, S. (2022). Routing optimization with generalized consistency requirements. Transportation Science, 56(1), 223-244.
[18] Zhen, L., Sun, Q., Zhang, W., Wang, K., & Yi, W. (2021). Column generation for low carbon berth allocation under uncertainty. Journal of the Operational Research Society, 72(10), 2225-2240.
[19] Wang, K., & Jacquillat, A. (2020). A stochastic integer programming approach to air traffic scheduling and operations. Operations Research, 68(5), 1375-1402.
[20] Zhang, W., Wang, K., Wang, S., & Laporte, G. (2020). Clustered coverage orienteering problem of unmanned surface vehicles for water sampling. Naval Research Logistics, 67(5), 353-367.
[21] Zhen, L., Ma, C., Wang, K., Xiao, L., & Zhang, W. (2020). Multi-depot multi-trip vehicle routing problem with time windows and release dates. Transportation Research Part E: Logistics and Transportation Review, 135, 101866.
[22] Zhen, L., Lv, W., Wang, K., Ma, C., & Xu, Z. (2020). Consistent vehicle routing problem with simultaneous distribution and collection. Journal of the Operational Research Society, 71(5), 813-830.
[23] Wang, S., Zhang, W., Bie, Y., Wang, K., & Diabat, A. (2019). Mixed-integer second-order cone programming model for bus route clustering problem. Transportation Research Part C: Emerging Technologies, 102, 351-369.
[24] Xia, J., Wang, K., & Wang, S. (2019). Drone scheduling to monitor vessels in emission control areas. Transportation Research Part B: Methodological, 119, 174-196.
[25] Zhen, L., Sun, Q., Wang, K., & Zhang, X. (2019). Facility location and scale optimisation in closed-loop supply chain. International Journal of Production Research, 57(24), 7567-7585.
[26] Wang, K., Zhen, L., Wang, S., & Laporte, G. (2018). Column generation for the integrated berth allocation, quay crane assignment, and yard assignment problem. Transportation Science, 52(4), 812-834.
[27] Zhen, L., Wang, K., Wang, S., & Qu, X. (2018). Tug scheduling for hinterland barge transport: A branch-and-price approach. European Journal of Operational Research, 265(1), 119-132.
[28] Wang, K., Wang, S., Zhen, L., & Qu, X. (2017). Ship type decision considering empty container repositioning and foldable containers. Transportation Research Part E: Logistics and Transportation Review, 108, 97-121.
[29] Wang, K., Wang, S., Zhen, L., & Qu, X. (2017). Cruise service planning considering berth availability and decreasing marginal profit. Transportation Research Part B: Methodological, 95, 1-18.
[30] Wang, S., Wang, K., Zhen, L., & Qu, X. (2017). Cruise itinerary schedule design. IISE Transactions, 49(6), 622-641.
[31] Wang, K., Liu, W., Wang, S., & Liu, Z. (2017). Optimal reefer slot conversion for container freight transportation. Maritime Policy & Management, 44(6), 727-743.
[32] Zhen, L., Wang, S., & Wang, K. (2016). Terminal allocation problem in a transshipment hub considering bunker consumption. Naval Research Logistics, 63(7), 529-548.
[33] Zhen, L., Xu, Z., Wang, K., & Ding, Y. (2016). Multi-period yard template planning in container terminals. Transportation Research Part B: Methodological, 93, 700-719.
[34] Wang, K., Wang, S., Zhen, L., & Qu, X. (2016). Cruise shipping review: operations planning and research opportunities. Maritime Business Review, 1(2), 133-148.
[35] Zhen, L., & Wang, K. (2015). A stochastic programming model for multi-product oriented multi-channel component replenishment. Computers & Operations Research, 60, 79-90.
[36] Zhen, L., Wang, K., & Liu, H. C. (2015). Disaster relief facility network design in metropolises. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 45(5), 751-761.
[37] Zhen, L., Sheng, S., Xie, Z., & Wang, K. (2015). Decision rules for ambulance scheduling decision support systems. Applied Soft Computing, 26, 350-356.
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电话：010-62796167
传真：010-62784655
E-mail：qcxbgs@tsinghua.edu.cn
