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Haiqing Gao I'm a third-year PhD student in the Industrial Engineering and Management Sciences department at Northwestern University. I received my B.S. in Applied Math and M.Phil. in Computer Information and Engineering from the Chinese University of Hong Kong, Shenzhen. I'm currently co-advised by Seyed M.R. Iravani and Sean R. Sinclair, and my research focuses on data-driven sequential decision-making in non-profit operations. My recent work applied dynamic programming (DP) models to provide insights for optimizing food pantry operations of food banks. |
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ResearchI'm interested in applying machine learning optimization and stochastic processes to the design and control of non-profit operations. My previous work has focused on data-driven machine learning in areas such as online matching platforms, healthcare prevention, and distributed learning. Currently, my research is centered on the design of operational systems for non-profit organizations. |
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FedHD: Communication-efficient federated learning from hybrid data
Haiqing Gao, Songyang Ge, Tsung-Hui Chang, Journal of the Franklin Institute, 2023 ScienceDirect Design an algorithm for the hybrid Federated Learning (FL) to protect the privacy and enhance the learning performance through efficient communications. |
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Fair Allocation in Non-Profit Operations: Optimal Routing Policy (Working Paper)
Haiqing Gao, Seyed M.R. Iravani, Dawson J. Ren, Sean R. Sinclair, Presented in TTIC Workshop Poster Session, 2024 Model a simultaneous allocation and routing decision-making by dynamic programming (DP) and prove the threshold structure of the optimal allocation and routing policies. |
Teaching
Northwestern University
The Chinese University of Hong Kong, Shenzhen
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