Education

　　B.E. (Majored in Auto Control), Tsinghua University, 1968.

　　Overseas Visiting and Training

　　Visiting Scholar, Stanford University, CA. U.S.A. 1983-1985.

　　Senior Visiting Scholar, University of Toronto, Canada, 1994

　　Teaching Experiences

　　Data ,Model and Decisions, Optimization, Operation Research etc.

　　Industrial Experiences

　　He is a member of Systems Engineering institution in Hubei Province, and vice president of Wuhan systems engineering Institution.

　　Research Interests

　　Decision, Pricing and Revenue Optimization, Coordination Management, Data Mining in Business etc.

　　Representative Research Papers

　　1) Liu, Kaijun, Zhou Yonghong, Zhang Zigang. Capacitated location model with online demand pooling in a multi-channel supply chain. European Journal of Operational Research, 2010,207(1):218-231。

　　2)Liu, K, Zhang Z. Channel competition and selection in a capacitated multi-channel distribution system. International Journal of Logistics Systems and Management, 2008, 4(5): 596-616

　　3) Zhang, Yishi, Zhang Zigang, Liu Kaijun, and Qian Gangyi.An Improved IAMB Algorithm for Markov

　　Blanket Discovery.Journal of Computers, 2010,11(5):1755-1761(EI号：20104813436973)。

　　4) Liu, K, Zhang Zigang. Capacity allocation in a competitive multi-channel supply chain[J]. Journal of Systems Science and Systems Engineering, 2007, 4: 450-468. (SCI-E: 000258569800005; EI: 080211008156)。

　　5) Liu, K, Zhang Zigang. Impact of game type on supply chain performance . Proceeding of 2007 International Conference on Management Science & Engineering, 2007: 645-650. (EI: 082111267277)。

　　6) Liu, K, Zhang Zigang. Pooled information effect in supply chains with unknown demand.Journal of Management Sciences in China，2009，4：103-114。

　　7) Liu, Kaijun, Zhang Zigang, Zhou Yonghong. Demand propagation in supply chains under linear inventory management policies . Journal of Management Sciences in China，2008, 4: 94-103。

　　8) Liu, K, Zhang Zigang. Pooled Information Effect in Supply Chains with Partially Observable Demand Information .Chinese Journal of Management Science, 2008, 2: 83-90.。