My primary areas of research interests are in the areas of Artificial Neural Networks, Knowledge Management, Simulation, and Open Source. My current projects involve examining the relevance of Open Source for IT strategy, developing a Feature-Selection Method for Prediction Using Neural Networks (with Michael Y. Hu, and Ming S. Hung), and using agents to understand the impact of policies on Open-Source adoption.
Published in Refereed Conference Proceedings
- "A Simulation Study of Online Auctions: Analysis of Bidders’ and Bid-takers’ Strategies," (Kholekile Gwebu, Jing Wang, and Murali Shanker), in Proceedings of the Decision Science Institute, 2005.
- Modeling Consumer Situational Choice of Long Distance Communication with Neural Networks," (G. Peter Zhang, Michael Hu, Murali Shanker, and Ming Hung), Distinguished Paper Award, in Proceedings of the Decision Science Institute, 1621-1626, 2004.
- "Neural Network Analysis of Performance of Sino-Hong Kong Joint Ventures," (Eddy Patuwo, Michael Hu, Ming Hung and Murali Shanker) in the Proceedings of the International Conference on Management Science and the Economic Development of China, 592--600, July 1996.
- "The Effect of Synchronization Requirements on the Performance of Distributed Simulations," (Murali Shanker and Eddy Patuwo) in the Proceedings of the 7th Workshop on Parallel and Distributed Simulation, 151--154, May 1993.
- "Adaptive Distribution of Model Components via Congestion Measures," (Murali Shanker, David Kelton, and Rema Padman) in the Proceedings of the 1989 Winter Simulation Conference, 640--647, 1989.
Published in Refereed Journals
- "Modeling Consumer Situational Choice of Long Distance Communication with Neural Networks," (Michael Hu, Murali Shanker, G. Peter Zhang, and Ming Hung) Decision Support Systems, 44, 899-908, 2008.
- "A Framework for Distance-Education Effectiveness: An Illustration with Business Statistics," (Murali Shanker, and Michael Hu) to International Journal of Web-based Learning and Teaching Technologies, 1(2), 1-17, 2006. D,T
- "A Distribution Free Approach to Estimating Best Response Values with Application to Mutual Fund Performance Modeling," (Marvin D. Troutt, Michael Y. Hu, Murali S. Shanker) European Journal of Operational Research, 166 (2), 520-527, 2005.
- "Estimating Breast Cancer Risk Using Neural Networks," (Ming Hung, Murali Shanker, and Michael Hu) Journal of the Operational Research Society, 53, 222-231, 2002. D
- "Efficient Distributed Simulation through Dynamic Load Balancing," (Murali Shanker, Rema Padman and W. David Kelton) in IIE Transactions, 33, 203-217, 2001.
- "Cost Efficiency Benchmarking for Operational Units with Multiple Cost Drivers," (Marvin Troutt, Donald Gribbin, Murali Shanker, and Alimao Zhang) in Decision Sciences, 31(4), 813--832, 2000.
- "Estimating Probabilities of Diabetes Mellitus Using Neural Networks," (Murali Shanker, Michael Hu, and Ming Hung) in SAR QSAR Environmental Research, 11(2), 133--147, 2000.
- "Estimation of Posterior Probabilities of Consumer Situational Choices with Neural Network Classifiers," (Michael Hu, Murali Shanker, and Ming Hung) in International Journal of Research in Marketing, 16(4), 307--317, 1999.
- "Estimating the Performance of Sino-Hong Kong Joint Ventures Using Neural Network Ensembles," (Michael Hu, Eddy Patuwo, Ming Hung and Murali Shanker) in Annals of Operations Research, 87: 213--232, 1999.
- "A Framework for Estimating the Performance of Distributed Simulations," (Murali Shanker and Eddy Patuwo) in International Journal of Computer Simulation, 1997.
- "Using Neural Networks to Predict the Performance of Sino-Foreign Joint Ventures," (Michael Hu, Ming Hung, Murali Shanker and Haiyang Chen) in International Journal of Computational Intelligence and Organizations, 1 (3), 134--143, 1996.
- "Cutoff Values for Two-Group Classification Using Neural Networks," (Murali Shanker and Michael Hu) in Industrial Mathematics, 46 (1), 33--45, 1996.
- "Effect of Data Standardization on Neural Network Training," (Murali Shanker, Michael Hu and Ming Hung) in OMEGA, 24 (4), 385--397, 1996.
- "Using Neural Networks to Predict the Onset of Diabetes Mellitus," (Murali Shanker) in Journal of Chemical Information and Computer Sciences, 36, 35--41, 1996.
- "Estimating Posterior Probabilities in Classification Problems With Neural Networks," (Ming Hung, Michael Hu, Murali Shanker and Eddy Patuwo) in International Journal of Computational Intelligence and Organizations, 1 (1), 49--60, 1996.
- "Application of Neural Network Classifiers to Disease Diagnosis," (Murali Shanker) in Industrial Mathematics, 45 (1), 51--62, 1995.
- "The Effect of Synchronization Requirements on the Performance of Distributed Simulations," (Murali Shanker, and Eddy Patuwo) in ACM SIGSIM Simulation Digest, 1, 151-154, July 1993.
- "Measuring Congestion for Dynamic Task Allocation in Distributed Simulation," (Murali Shanker, David Kelton and Rema Padman) in the ORSA Journal on Computing, 5 (1), 54--68, 1993.
- "An Approximate Model for Field Service Territory Planning," (A. V. Hill, S. March, C. Nachtsheim, and M. Shanker) in IIE Transactions, 24 (1), 2--10, 1992.
Refereed Book Chapters
- Improving Teaching Effectiveness Using Distance-Education Tools," (Murali Shanker, and Michael Y. Hu) in Web-Based Learning and Teaching Technologies: New Opportunities and Challenges, Liliane Esnault (Editor), Idea Group, 2007. T
- "Predicting Consumer Situational Choice with Neural Networks," (Michael Y. Hu, Murali Shanker, Ming S. Hung) in Neural Networks in Business Forecasting, G. Peter Zhang (Editor), IRM Press, 2003.
- "Maximum Performance Efficiency Approaches For Estimating Best Practice Costs," (Marvin Troutt, Donald Gribbin, Murali Shanker, and Alimao Zhang) in Data Mining: Opportunities and Challenges, John Wang (Editor), IRM Press, 239--259, 2003.
- "Frontier Versus Ordinary Regression Models for Data Mining," (Marvin D. Troutt, Michael Hu, Murali Shanker, and William Acar) in Managing Data Mining Technologies in Organizations: Techniques and Applications, Parag C. Pendharkar (Editor), Idea Group Publishing, 21-31, 2002.