معرفی
Ming Hu is a Professor and University of Toronto Distinguished Professor of Business Operations and Analytics at Rotman School of Management, University of Toronto. He serves as Area Coordinator for the Operations Management & Statistics Area and holds editorial leadership roles including Editor-in-Chief of Naval Research Logistics and Associate Editor for multiple top journals.
- MS in Applied Mathematics, Brown University (2003)
- PhD in Operations Research, Columbia University (2009)
His research focuses on sharing economy, social operations, and platform economics, examining how operational decisions can maximize societal benefit. Key areas include crowdfunding, two-sided markets, crowdsourcing, and group buying, with applications to DEI, sustainability, and AI-empowered operations.
Recent work analyzes spatial operations in delivery systems, algorithmic fairness, and climate change adaptation in agricultural supply chains. His publications span top journals like Management Science and Operations Research, covering topics from blockchain traceability to quantum-inspired optimization.
Scientific recognitions include:
- Wickham Skinner Early-Career Research Award (2016)
- Best Operations Management Paper in Management Science (2017)
- 2018 Poets & Quants Best 40 Under 40 MBA Professors
As an Amazon Scholar (2022–) and Chair of Chain Analytics Institute (2023–), he bridges academic research with industry applications in AI-driven logistics and sustainable operations.
