Shengfan Zhang

Shengfan Zhang is an Associate Professor at the Department of Industrial Engineering, College of Engineering, University of Arkansas. He holds a Ph.D. and M.I.E. in Industrial Engineering from North Carolina State University and a B.M. in Management Science from Fudan University.

• Research Focus: Stochastic systems, statistical modeling, and decision analysis in healthcare and supply chain management.
• Teaching: Courses in probability, stochastic processes, quality engineering, and healthcare decision modeling.

His research integrates Markov decision processes, simulation, and machine learning to address challenges in medical decision making, health disparities, and process improvement. Recent work emphasizes cancer screening policies, inventory management, and patient admission planning.

Selected Awards:

• 2017 Volunteer Service Award, INFORMS
• 2016 Best Paper Award (Facility Logistics Track, ISERC)
• 2016 Outstanding Service to Students Award, University of Arkansas
• 2014 2nd Place Prize, INFORMS Interactive Sessions Competition
• 2014 Outstanding Faculty Advisor, University of Arkansas

His publications span healthcare systems engineering, mammography screening, comorbidity analysis, and stochastic modeling, with applications in breast cancer mortality assessment, supply chain resilience, and patient admission scheduling.