Dr. Hao (Howard) ZHONG is a tenure-track assistant professor in the Information and Operations Management (IOM) department and the scientific co-director of Masters in Big Data and Business Analytics program at ESCP Business School (Paris). He received his Ph.D. in Management (Information Technology) from the Business School of Rutgers University. He was a visiting professor at the AI Thrust of HKUST (Guangzhou) in 2023. His research interests include data mining, computational design science, venture data analytics, and representation learning. His work has appeared in multiple top venues of data mining, information systems and operations research, including refereed journals (DSS, AOR, TKDE, TMC) and peer-reviewed conference proceedings (ICIS, CIST, HICSS, WITS, INFORMS WDS, KDD, ICDM, SDM). He has served as Senior Program Committee member at AAAI and Program Committee member at IJCAI, WWW, CIKM, KSEM, etc. He is currently a fellow of Center for Design Science in Entrepreneurship (DS:E). He also served as co-chair of AI cluster at INFORMS Annual Meeting in 2021 and 2022. He has received the Best Paper Runner-Up award at WITS 2022. Prior to joining ESCP, he enjoyed a three-year entrepreneurial experience, as a co-founder and Chief Data Scientist of a FinTech startup in China, which leverages the power of Big Data and AI to provide risk management products and services for top financial clients. The startup has been acquired by Duxiaoman Financial, Baidu.

My Erdős number is 4.

My CV is available upon request.

Recent news:

• Jan. 2024 - Joined a very interesting conversation on AI-human collaboration at ESCP Live! Check it out!
• Dec. 2023 - Two projects granted by ESCP European Research Funding (EERF)
• Dec. 2023 - One article “AI-human collaboration can unlock new sources of competitive advantage” published by LSE Business Review
• Nov. 2023 - One paper accepted by Decision Support Systems
• June 2023 - Three papers accepted by Pacific-Asia Conference on Information Systems (PACIS)
• May 2023 - Appointed Scientific Co-director of MSc in Big Data and Business Analytics, starting from Sept. 2023
• Feb. 2023 - Honored to serve as Co-chair of AI cluster at 2023 INFORMS Annual Meeting
• Dec. 2022 to Mar. 2023 - Visiting at Artificial Intelligence (AI) Thrust of HKUST (Guangzhou)
• Dec. 2022 - Honored to receive the Best Paper Runner-Up award at Workshop on Information Technology and Systems (WITS)
• Dec. 2022 - Four projects granted by ESCP European Research Funding (EERF)
• Nov. 2022 - Interview on Strategies for Metaverse Launch by The Choice by ESCP
• Oct. 2022 - Four papers accepted by Workshop on Information Technology and Systems (WITS)
• Sept. 2022 - Two papers accepted by International Conference on Information Systems (ICIS)
• Sept. 2022 - One paper accepted by Hawaii International Conference on System Science (HICSS)
• Sept. 2022 - One article “Intelligence artificielle : qui sortira vainqueur de la bataille géopolitique?" published by Les Echos
• Aug. 2022 - Three papers accepted by INFORMS Workshop on Data Science (INFORMS WDS)
• Aug. 2022 - One paper accepted by Conference on Information Systems and Technology (CIST)
• Feb. 2022 - Honored to serve as Co-chair of AI cluster at 2022 INFORMS Annual Meeting
• Dec. 2021 - Two projects granted by ESCP European Research Funding (EERF)
• Oct. 2021 - One papers accepted by Workshop on Information Technology and Systems (WITS)
• Aug. 2021 - One paper accepted by ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
• Aug. 2021 - Honored to be an ESCP Fellow of the Center for Design Science in Entrepreneurship (DS:E)
• Jan. 2021 - Honored to serve as Co-chair of AI cluster at 2021 INFORMS Annual Meeting
• Dec. 2020 - One project granted by ESCP European Research Funding (EERF)