معرفی
Jian Hu is an Associate Professor in the Department of Industrial & Manufacturing Systems Engineering at the University of Michigan-Dearborn, where he leads the Smart Mobility Analytics Research and Training Lab. His academic journey includes a PhD in Industrial Engineering & Management Sciences from Northwestern University (2011), an M.Sc. in Applied Science & Systems Engineering from the University of Arkansas at Little Rock, an M.Eng. in Control Theory from the Chinese Academy of Sciences, and a B.Eng. in Information & Control Engineering from Xi'an Jiaotong University.
- PhD: Industrial Engineering & Management Sciences, Northwestern University
- M.Sc.: Applied Science & Systems Engineering, University of Arkansas at Little Rock
- M.Eng.: Control Theory, Chinese Academy of Sciences
- B.Eng.: Information & Control Engineering, Xi'an Jiaotong University
Dr. Hu specializes in data-driven risk management and decision making under uncertainty. His research spans stochastic models in supply chains, transportation, logistics, finance, and healthcare, with a focus on robust optimization, interpretable machine learning, and multi-attribute decision frameworks. Current projects include EV charging infrastructure planning, autonomous driving safety enhancement, and resilient nurse scheduling under uncertainty.
His publications demonstrate a trajectory in robust optimization, stochastic dominance, and preference modeling, often intersecting with applications in transportation, homeland security, and healthcare operations. He actively collaborates with Ford Motor Company, Argonne National Laboratory, and NSF-funded initiatives.
Dr. Hu has advised 10 graduate students, including PhD candidates at the University of Michigan-Dearborn and Ford GDIA. He teaches graduate courses such as Advanced Stochastic Processes and Optimization.
