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Faculty and Staff Profile

Shouqiang (Qiang) Wang

Assistant Professor


Office: Sirrine 131D
Phone: 864-656-7418
Email: SHOUQIW@clemson.edu
Vita: http://people.clemson.edu/~shouqiw/cv.pdf
Personal Website: http://people.clemson.edu/~shouqiw/
 

 Educational Background

PhD Business Administration
Duke University, Fuqua School of Business 2011

MS Statistical Sciences
Duke University 2011

BA Economics
Peking University 2006

BS Mathematics
Peking University 2006

 Courses Taught

Operations Management
Logistics Management
Supplier Management
Decision Models

 Profile

Shouqiang Wang came to Management Department at Clemson University as an assistant professor in 2011 after he earned his PhD in Business Administration from Duke University Fuqua School of Business. His research interest and expertise is the interface between operations and microeconomic models. In particular, he studies strategic and incentive problems in operations models and supply chains as well as public sectors such as environmental regulations, healthcare and national defense, drawing methodologies from micro-economic theory and operations research. His work has appeared in academic journals such as Operations Research, Naval Research Logistics, and Mathematical Biosciences. He teaches Operations Management, Logistics Management, Supplier Management at undergraduate level and Decision Models at master levels.

 Research Interests

Operations and Supply Chain Management
Sustainable operations
Micro-economic Theory
Operations Research
Decision Analysis

 Research Publications

(See personal website for recent papers)

Network Routing in Insurgency: An Adversarial Risk Analysis Framework, with David Banks, accepted at Naval Research Logistics, 2011.

Adversarial Risk Analysis: Borel Games, with David Banks and Francesca Petralia, Applied Stochastic Models in Business and Industry, 27: 72-86, 2011.

Multi-dimensional Mechanism Design: Finite Dimensional Approximations and Efficient Computation, with Alexandre Belloni and Giuseppe Lopomo, Operations Research, 58(4):1079-1089, 2010.

Decentralized Resource Allocation to Control an Epidemic: A Game Theoretic Approach, with Francis de Vericourt and Peng Sun, Mathematical Biosciences, 222(1):1-12, 2009.