• Hu, J., Ray, B. K. and Singh, M. (2007). “Statistical Methods for Automated Generation of Services Engagement Staffing Plans”. IBM Journal of Research and Development 51 (3/4), May/July, 281-293.
• Singh, M. and Kalagnanam, J. (2006). “Using Data Mining in Procurement Business Transformation Outsourcing”. 12th ACM SIGKDD Conference on Knowledge Discovery and Data Mining – Workshop on Data Mining for Business Applications, 80-86.
• Singh, M., Kalagnanam, J., Verma, S., Shah, A. and Chalasani, S. (2005). “Automated Cleansing for Spend Analytics”. CIKM '05 - ACM 14th Conference on Information and Knowledge Management.
• Kalagnanam, J., Singh, M., Verma, S., Patek, M., and Wong, Y. W. (2004). “A System for Automated Mapping of Bill-of-Materials Part Numbers”. 10th ACM SIGKDD
International Conference on Knowledge Discovery and Data Mining, 805-810.
• Guttman, R., Kalagnanam, J., Mohan, R. and Singh, M. (2005). “Strategic Sourcing and Procurement”. In Supply Chain Management on Demand (Eds) Chae An and H. Fromm. 117-142. Springer.
• Duri, S., Elliott, J., Gruteser, M., Liu, X., Moskowitz, P., Perez, R., Singh, M., and Tang, J. (2004). “Data Protection and Data Sharing in Telematics”. MONET-ACM Mobile Networks and Applications Journal 9(6): 693-701.
• Morgenstern, L., Mueller, E., Riecken, D., Singh, M., and Gong, L. (2004). “Enhanced Semantic Networks: Hybrid Knowledge Structures for Reasoning”. IBM Research Report No.RC23436. Nov.
• Bohrer, K., Liu, X., McLaughlin, S., Schonberg, E., and Singh, M . (2003). “Object Oriented XML Query by Example”. In
Conceptual Modeling for Novel Application Domains, Springer. 323-329.
• McCarthy, J., Minsky, M., Sloman, A., Gong, L., Lau, T., Morgenstern, L., Mueller, E.T., Riecken, D., Singh, M., and Singh, P. (2002). “An Architecture of Diversity for Commonsense Reasoning”. IBM Systems Journal, 41(3), 530-539.
• Duri, S., Gruteser, M., Liu, X., Moskowitz, P., Perez, R., Singh, M. And Tang, J. (2002). “Framework for Security and Privacy in Automotive Telematics”. The 2nd ACM International Workshop on Mobile Commerce, 25-32, Sept 23-28, Atlanta, GA.
• Bohrer, K., Kesdogan, D., Liu, X., Schonberg, E., Singh, M. and Spraragen, S. (2001). “Personal Information Management and Distribution”. Proceedings of the 4th International Conference on Electronic Commerce Research , Nov 8-11, Dallas, TX.
• Bohrer, K., Kesdogan, D., Liu, Podlaseck, M., X., Schonberg, E., Singh, M. and Spraragen, S. (2001). “How to go Shopping on the World Wide Web without having your Privacy Violated”. Proceedings of the 4th International Conference on Electronic Commerce Research, Nov 8-11, Dallas, TX.
• Bohrer, K., Kesdogan, D., Liu, X., Schonberg, E. and Singh, M. (2001) “MyPrivacy: an Architecture for User-Controlled Privacy”. 11th IBM Security Interdivisional Technical Symposium, June 18-22, Yoktown Heights, NY.
• Singley, M., Singh, M., Fairweather, P., Farrell, R. and Swerling, S. (2000). “Algebra Jam: Supporting Teamwork and Management Roles in a Collaborative Learning Environment”. Proceedings of the ACM 2000 Conference on Computer Supported Cooperative Work (CSCW), 145-154, December 2000, Philadelphia.
• Singh, M. (1997). “Learning Bayesian Networks from Incomplete Data”. Proceedings of the 14th National Conference on Artificial Intelligence (AAAI'97), 534-539, July 27-31, Providence, RI.
• Morgenstern, L. and Singh, M. (1997). “An Expert System using Nonmonotonic Techniques for Benefits Inquiry in the Insurance Industry”. Proceedings of the 15th International Joint Conference on Artificial Intelligence (IJCAI'97), 655-661, August 23-29, Nagoya, Japan.
• Singh, M. (1996). “Path Consistency Revisited”. International Journal on Artificial Intelligence Tools, 5, 127-141.
• Provan, G. and Singh, M. (1996). “Learning Bayesian Networks using Feature Selection”. Lecture Notes in Statistics (ed. Fisher, D. and Lenz, H.), 112, 291-300. Springer Verlag, New York.
• Singh, M. and Provan, G. (1996). “Efficient Learning of Selective Bayesian Network Classifiers”. Proceedings of the 13th International Conference on Machine Learning, 453-461, July 3-6, Bari, Italy.
• Ezawa, K., Singh, M. and Norton, S. (1996). “Learning Goal-Oriented Bayesian Networks for Telecommunications Risk Management”. Proceedings of the 13th International Conference on Machine Learning, 139-147, July 3-6, Bari, Italy.
• Singh, M. (1996). “Dynamic, Constraint-based Planning in Trauma Management”. Proceedings of the 13th National Conference on Artificial Intelligence (AAAI '96), 1408, August 4-8, Portland, Oregon.
• Singh, M. (1996). “Induction of Selective Bayesian Networks from Data”. Proceedings of the 13th National Conference on Artificial Intelligence (AAAI '96), 1371, August 4-8, Portland, Oregon.
• Provan, G. and Singh, M. (1996). “Data Mining and Model Simplicity: A Case Study in Diagnosis”. Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining (KDD'96), 57-62, August 3-5, Portland, Oregon.
• Singh, M. and Valtorta, M. (1995). “Construction of Bayesian Network Structures from Data: a Brief Survey and an Efficient Algorithm”. International Journal of Approximate Reasoning, 12, 111-131.
• Singh, M. and Provan, G. (1995). “A Comparison of Induction Algorithms for Selective and non-Selective Bayesian Classifiers”. Proceedings of the 12th International Conference on Machine Learning, 497-505, July 9-12.
• Singh, M. (1995). “Path Consistency Revisited”. Proceedings of the 7th IEEE International Conference on Tools with Artificial Intelligence, 318-325, November 5-8.
• Provan, G. and Singh, M. (1995). “Learning Bayesian Networks using Feature Selection”. Proceedings of the 5th International Workshop on Artificial Intelligence and Statistics, 450-456, January 4-7.
• Singh, M. and Valtorta, M. (1993). “An Algorithm for the Construction of Bayesian Network Structures from Data”. Proceedings of the 9th Conference on Uncertainty in Artificial Intelligence, 259-265, July 9-11 (Outstanding Student Paper).