Donghao Zhu

I am a project assistant professor at The Institute of Statistical Mathematics (ISM) in Tokyo, Japan. I am also a visiting researher at The University of Tokyo Market Design Center (UTMD) in Tokyo, Japan. I completed my PhD from Techinical University of Munich (TUM).

My research interests focus on the operations management, specifically in the methodologies for operations research and their practical applications in real-world contexts. I had experience in queueing theory and online matching problems. Currently, I am expanding my knowledge in optimization algorithm design, machine learning and economic theory.

Beyond my research, I manage my own media channels. I am enthusiastic about documenting people's lives, introducing research topics, and sharing insights into diverse cultures.

Email: donghao.zhu9407 [at] gmail [dot] com

News

May 13, 2024: I wiil give a talk on pricing and queue-length information disclosure policies in on-demand service platforms at the “Microeconomic Theory Wrokshop” hosted by the University of Tokyo Market Design Center.
Apr 11, 2024: I wiil attend the “34th Annual POMS Confernece” with two invited talks.
Apr 11, 2024: I initiated an online Operations Management seminar titled “Advanced OR-Management Seminar”. The seminar aims to foster research exchanges and collaboration both within and beyond Japan. Currently, it boasts over a hundred registered researchers.

This website is updated until 2024-5-13.

Oct 13, 2023: I will be participating in the “Information-Based Induction Sciences” (IBIS) Workshop from October 29th to November 01, 2023, in Kitakyushu, Fukuoka, Japan.
Jun 25, 2023: We upload a manuscript of our paper “Information Design for On-Demand Service Platforms: A Queueing-Theoretical Approach” (joint work with Martin Bichler and Stefan Minner) to SSRN. We leverage queueing theory to analyze the preferred queue-length disclosure policy in a two-sided marketplace platform.
May 02, 2023: Our paper “Superiority of Instantaneous Decisions in Thin Dynamic Matching Markets” (joint work with Johannes Bäumler, Martin Bullinger and Stefan Kober) is accepted in ACM EC 2023. We demonstrate that the greedy algorithm can perform well with respect to loss, waiting time, and congestion in sparse and thin matching markets.
Mar 25, 2023: I post a note “List of Papers on the Online Matching Problem”, a fun servey with Billy Jin.
Apr 20, 2022: I attend the workshop "Digital Technologies in Operations Management" on June 22-24, 2022 at TUM campus Heilbronn.
Nov 14, 2021: Our paper “Dynamic Bipartite Matching Market with Arrivals and Departures” (joint work with Naonori Kakimura) is accepted in ACM WINE 2021. We investigate the optimal devision time for a two-sided marketplace platform planner.