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Haochen Wu is a prospective Ph.D. student starting from the 2023 Winter semester under the supervision of Max Li at the Aerospace Engineering department at University of Michigan, Ann Arbor. His research interests include decision making in large-scale network systems with uncertainty, optimization theory, control theory and network science. The corresponding application areas include the UAM/AAM and air transportation systems. His most recent work focuses on the low-altitude airspace parcel delivery problem and the application of data-driven control models in the intelligent transportation systems. He is expected to receive his master’s degree in Transportation Engineering in 2022 from the University of California, Berkeley, and has received his B.E. degree in Air Traffic Management in 2020 from the Civil Aviation University of China.
Check out Haochen's work
Check out Haochen's work
Distributionally Robust Multi-Airport Ground Delay Problem under Wasserstein Ambiguity Sets
AAM Congestion Pricing Using a Bi-Level Optimization Approach
Robust AAM Path Planning under Uncertain Weather
Natural Disaster-Resilient Spaceport Facility Location Planning Problem
Publications
Publications
Wu, H., Zhu, X., Li, L. and Li, M.Z., 2025. Integrated Prediction and Distributionally Robust Optimization for Air Traffic Management. arXiv preprint arXiv:2509.18492.
Wu, H., Weitz, L.A., Henderson, J.M. and Li, M.Z., 2025. Optimization-Guided Exploration of Advanced Air Mobility Congestion Management Strategies with Stochastic Demands. arXiv preprint arXiv:2509.18505.
Wu, H., Weitz, L.A., Henderson, J.M. and Li, M.Z., 2025. Optimization-Guided Exploration of Advanced Air Mobility Congestion Management Strategies with Stochastic Demands. arXiv preprint arXiv:2509.18505.
Wu, H., Lin, Y.S., Sun, K.R., Koduru, T., Cinar, G., Johnson, A.W., Jia-Richards, O. and Li, M.Z., 2024. Natural Disaster-Resilient Spaceport Network Planning. In AIAA AVIATION FORUM AND ASCEND 2024 (p. 4930).
Wu, H., Zhu, X., Li, S., Zhou, Y., Li, L. and Li, M.Z., 2024. Distributionally Robust Ground Delay Programs with Learning-Driven Airport Capacity Predictions. https://arxiv.org/abs/2402.11415
Wu, H., Sun, K.R., Miller, J.A., Jia-Richards, O. and Li, M.Z., 2024. Spaceport Facility Location Planning within the US National Airspace System. arXiv preprint arXiv:2402.11389.
Wu, H., Estes, A.S. and Li, M.Z., 2023. Distributionally Robust Airport Ground Holding Problem under Wasserstein Ambiguity Sets. arXiv preprint arXiv:2306.09836.
Henderson, J.M., Bongo, E., Adcock, T., Weitz, L.A., Wu, H. and Li, M.Z., 2025. Using Agents to Evaluate Performance and Ambiguity of Decentralized Advanced Air Mobility Operating Practices. In AIAA AVIATION FORUM AND ASCEND 2025 (p. 3245).
Chan, B., Deng, Y., Tran, N., Wu, H., Ikeda, M., Cinar, G. and Li, M.Z., 2024, August. Optimizing fleet assignment decisions for regional airlines with hybrid electric aircraft uptake. In the 34th Congress of the International Council of the Aeronautical Sciences.
B. Chan, A. Kamat, H. Wu, A. Sharma, K. Kirsch, G. Çınar, M. Z. Li. “Full airline network fleet assignment model with hybrid electric aircraft uptake.” 2025 IEEE Transportation Electrification Conference and Expo + Electric Aircraft Technologies Symposium (ITEC + EATS 2025). Accepted February 2025. https://ieeexplore.ieee.org/abstract/document/11098001
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