Operations Research, Mechanism Design, Information Design, Online Algorithms, Online Learning

Yiding Feng joined the Department of Industrial Engineering and Decision Analytics at the Hong Kong University of Science and Technology as an Assistant Professor in August 2024. Prior to this position, he was a Postdoctoral Principal Researcher in Chicago Booth School of Business (Operations Management) and Postdoctoral Researcher in Microsoft Research New England (Economics and Computation). He received his Ph.D. in Computer Science from Northwestern University (2021) and B.Eng. in Computer Science and Technology from Shanghai Jiao Tong University (2016).

Second place for INFORMS AMD Section 2023 Rothkopf Junior Researcher Paper Prize

Terminal Year Fellowship, Northwestern University, 2020

Outstanding Graduate of Shanghai Jiao Tong University, 2016

1. Yiding Feng, Rad Niazadeh, Amin Saberi (2024), Near-optimal bayesian online assortment of reusable resources. Operations Research 0(0). https://doi.org/10.1287/opre.2020.0687


2. Yiding Feng, Rad Niazadeh (2024), Batching and optimal multi-stage bipartite allocations. Management Science 0(0). https://doi.org/10.1287/mnsc.2022.03698


3. Yiding Feng, Rad Niazadeh, Amin Saberi (2023), Two-stage stochastic matching with application to ride hailing. Operations Research 72(4):1574-1594. https://doi.org/10.1287/opre.2022.2398


4. John R. Birge, Ozan Candogan, Yiding Feng (2022), Controlling Epidemic Spread: Reducing Economic Losses with Targeted Closures. Management Science 68(5):3175-3195.https://doi.org/10.1287/mnsc.2022.4318