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Subodha Kumar
时间:2016年11月28日 信息来源:本站原创 点击:

                   Subodha Kumar    
   现任美国德克萨斯A&M大学教授,东北财经大学管理科学与工程学院特聘兼职教授。
   Subodha Kumar教授为德克萨斯A&M大学本科生讲授“商务统计”(2010年秋季获得优秀教学奖)、“信息系统”、“系统分析与设计”、“商务数据通讯”和“生产管理”等核心课程;为硕士生讲授“商务决策中的定量分析”、“信息系统”等基础课和“信息、技术与创新”前沿方向课程;为博士生讲授“非线性优化”、“博弈论”、“动态优化”、“最优控制理论应用”和“微分博弈”等课程。为我校管理科学与工程专业研究生讲授核心课程或学科最新前沿选修课程。先后荣获2016年德克萨斯A&M大学杰出教学成就奖、2014和2015年梅斯商学院夏季教学绩效基金等教学奖励。作为博士论文指导委员会成员,指导在读博士10人,已毕业博士6人并分别在华盛顿大学、印第安纳大学、纽约州立大学等世界知名大学任职副教授。
   Subodha Kumar教授研究领域涉及社会媒体分析、医疗健康管理、零售、供应链分析、项目管理、电子商务、组合优化、数据库管理、网络安全等,科研活跃,创造力强,研究成果丰硕。近年来在Management Science、Operations Research、Production and Operations Management、Information Systems Research等UTD24国际TOP期刊以及其它权威期刊上发表论文30余篇。
   Subodha Kumar教授现任国际TOP期刊Production and Operations Management值班编辑和栏目主编,Information Systems Research和Decision Science副主编。 Journal of Database Management、International Journal of Social and Organizational Dynamics in IT 、Production and Operations Management Journal 等期刊编委。
近三年来发表的部分论文:
1. A. Mehra, S. Kumar, and J.S. Raju, “Competitive Strategies for Brick-and-Mortar Stores to Counter "Showrooming",” Management Science, Forthcoming.
2. L. Qiu and S. Kumar, “Understanding Voluntary Knowledge Provision and Content Contribution through a Social Media-Based Prediction Market: A Field Experiment,” Information Systems Research, Forthcoming.
3. Y. Ji, S. Kumar, and V.S. Mookerjee, “When Being Hot is not Cool: Managing Hot Lists in Information Security,” Information Systems Research, Forthcoming.
4. R. Mookerjee, S. Kumar, and V.S. Mookerjee, “Optimizing Performance Based Internet Advertisement Campaigns,” Operations Research, Forthcoming.
5. Y. Ji, S. Kumar, and S.P. Sethi, “Needle Exchange for Controlling HIV Spread Under Endogenous Infectivity,” INFOR: Information Systems and Operational Research, Forthcoming.
6. E.M. Demirezen, S. Kumar, and B. Shetty, “Managing Co-Creation in Information Technology Projects: A Differential Games Approach,” Information Systems Research, Vol. 27, No. 3, September 2016, pp. 517-537.
7. E.M. Demirezen, S. Kumar, and A. Sen, “Sustainability of Healthcare Information Exchanges: A Game-Theoretic Approach,” Information Systems Research, Vol. 27, No. 2, June 2016, pp. 240-258.
8. M. Vanajakumari, S. Kumar, and S. Gupta, “An Integrated Logistic Model for Predictable Disasters,” Production and Operations Management, Vol. 25, No. 5, May 2016, pp. 791-811.
9. E.M. Demirezen and S. Kumar, “Optimization of Recommender Systems Based on Inventory,” Production and Operations Management, Vol. 25, No. 4, April 2016, pp. 593-608.
10. Y. Zhu, S. Kumar, S. Rodriguez-Sanchez, and C. Sriskandarajah, “Managing Logistics in Regional Banknote Supply Chain under Security Concerns,” Production and Operations Management, Vol. 24, No. 12, December 2015, pp. 1966-1983.
11. A. Ghoshal, S. Kumar, and V.S. Mookerjee, “Impact of Recommender Systems on Competition between Personalizing and Non-Personalizing Firms,” Journal of Management Information Systems, Vol. 31, No. 4, Spring 2015, pp. 243-277.
12. D. Dey and S. Kumar, “Data Quality of Query Results with Generalized Selection Conditions,” Operations Research, Vol. 61, No. 1, Jan – Feb 2013, pp. 17-31.