April 2009

Educational Background

Work Experience

University

• Professor (2008 onwards), Kent State University, Kent, OH
• Associate Professor (1997 to 2008), Kent State University, Kent, OH.
• Assistant Professor (1990--1997), Kent State University, Kent, OH.
• Visiting Assistant Professor (1989--1990), University of Minnesota, Minneapolis, MN.
• Instructor and Teaching Assistant (1984--1989), University of Minnesota, Minneapolis, MN.

Industry

• System Analyst (1982-1984), Management Information Services, Sarabhai Enterprises, a leading multi-national corporation in India.
• Research Associate (1980), State Transport Corporation, Madras, India.

Consulting

• Research Consultant (1995): Project with Ohio Edison to evaluate disaster recovery systems.
• Research Consultant (1995): Project with Roberts' Express on demand forecasting.
• Research Associate (1985-1986), Carlson School of Management, University of Minnesota: Research involved a study of the field service territory problem. An approximate model for field service territory planning was developed and implemented in a Fortune 100 company.

Computing

• Programming/Scripting Languages C, COBOL, FORTRAN, Javascript, Java, Perl, Python
• Markup Languages HTML, XML, XSL, TeX
• Operating Systems Linux, UNIX, VM/CMS, Windows
• Hypercubes iPSC/2, NCUBE/7

Teaching

Kent State University (1990 to date)

Visiting Assistant Professor, University of Minnesota (1989--1990)

Instructor and Teaching Assistant, University of Minnesota (1984--1988)

Research

Published in Refereed Conference Proceedings

• "The Marginal Utility of Medical Resources in Clinics with Deterministic Patient Arrivals: A Simulation Study," (Kuntal Bhattacharyya, Pratim Datta, Murali Shanker, and Arup Maitra) in Amricas Conference on Information Systems, August 2009.
• "A Service-Design of IT Infrastructure," (Pratim Datta, Marvin Troutt, David Booth, and Murali Shanker), in Distinguished Paper Award in Proceedings of the Decision Science Institute, 2008. 
• "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 7^th 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

• "An Application of Agent-Based Simulation to Knowledge Sharing," (Jing Wang, Kholekile Gwebu, Murali Shanker, and Marvin Troutt), Decision Support Systems, 46, 532-541,  2009.
• "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.
• "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.
• "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 Education and Pedagogical Technologies: Solutions for Learning Applications, Liliane Esnault (Editor), Idea Group, 102-120, 2007.
• "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.

Papers Under Review

• "Information Revelation in Reverse Multi-Attribute Auctions," (Kholekile Gwebu, Michael Hu, and Murali Shanker) to International Journal of Electronic Commerce, February 2009.
• "The Survival and Success of Free Open Source Software Projects: The Role of Agency and Social Networks," (Jing Wang, Michael Hu, and Murali Shanker) to Information Systems Research, April 2009.

Papers To Be Submitted

• "An Approach to Teaching eProcurement Auctions," (Kholekile Gwebu, Michael Hu, and Murali Shanker)  August 2008.
• "Neural networks for Consumer Choice," (Michael Hu, Murali Shanker, and Ming Hung) August 2009.
• "Impact on Distance Learning Tools on Student Performance," (Murali Shanker, and Michael Hu) June 2009.

Research in Progress

• "Implementing an Open Source Information System for Product Prices in Remote Himalayan Villages," (K. Ramnarayanan, and Murali Shanker)

Presentations

• "A Service-Design of IT Infrastructure," (Pratim Datta, Marvin Troutt, David Booth, and Murali Shanker), DSI 2008.
• "Information Systems Architecture to Support Manufacturing Customization," (Thomas Ngniatedema, Michael Hu, and Murali Shanker) DSI 2008.
• "Using Social Networking and Open Source to Improve Student Retention," (Murali Shanker), KASADA, May 2008.
• "Best Practices for Student Success," RETAIN conference, Kent State University, March 2008.
• "Does Information Matter? An Investigation of the Effects of Information Disclosure Policies on Reverse Multi-attribute Auction Performance," (Kholekile Gwebu, Murali Shanker, Michael Hu) DSI, 2007
• "The Impact of Social Network Size on the Success of Open Source Software Projects," (Jing Wang, Murali Shanker, Michael Hu) DSI, 2007.
• "The Effects of Feedback on Multi-Attribute Auction Performance," (Kholekile Gwebu, Murali Shanker, Michael Hu) INFORMS, Puerto Rico, July 2007.
• "The Role of Social Networks in the Success of Open Source Software Systems," (Jing Wang, Murali Shanker, Michael Hu) INFORMS, Puerto Rico, July 2007.
• "iTunes Univesity, Kent State University," Panel discussion, June 2007.
• "Screech - Rubber Meets the Road," (Murali Shanker) Brown bag, Moulton Hall, Kent State University, November 2006.
• "Antecedents of Open Source Software Success," (Jing Wang, Michael Hu, Murali Shanker, Marvin Troutt) INFORMS, Pittsburgh 2006.
• "A Simulation Study of  Online Auctions: Analysis of Bidders’ and Bid-takers’ Strategies," (Kholekile Gwebu, Jing Wang, Murali Shanker) Decision Sciences, San Francisco, 2005.
• "Modeling Consumer Situational Choice of Long Distance Communication with Neural Networks," (Michael Hu, Murali Shanker, G. Peter Zhang) Decision Sciences, Boston, 2004.
• "Flashline," (Murali Shanker) Faculty Senate, Kent State University, July 2003.
• "Chaos Based Random Number Generators," (Murali Shanker) invited speaker to INFORMS, Miami, November 2001.
• "Using WebCT as a tool in distance learning," (Murali Shanker) invited speaker to Multimedia Open House, Kent State University, February 2001.
• "Improving accuracy of neural-network predictors for medical diagnosis," (Murali Shanker, Ming Hung, and Michael Hu) invited speakers to INFORMS, San Antonio, November 2000.
• "Generation of Uniform Random Numbers from a Large Family of Chaos Functions," (Marvin Troutt and Murali Shanker) invited speakers to INFORMS, Philadelphia, October 1999.
• "Artificial Organizational Learning: Plotting Knowledge through the Internet," (Nancy Bogucki Duncan, and Murali Shanker) invited speakers to INFORMS, Philadelphia, October 1999.
• "Diagnosis and Prediction of Breast Cancer Using Neural Networks," (Ming Hung, Michael Hu, and Murali Shanker), invited speakers to INFORMS, Seattle, 1998.
• "An Exploration of Information Technology Infrastructure Values Using Neural Networks," (Nancy Duncan and Murali Shanker), invited speakers to INFORMS, Dallas, 1997.
• "Application of Neural Networks to Breast Cancer Detection," (Murali Shanker, Michael Hu, Ming Hung and Eddy Patuwo), invited speakers to INFORMS, Dallas, 1997.
• "Using Neural Networks for Breast Cancer Detection," (Murali Shanker, Michael Hu, Ming Hung and Eddy Patuwo), invited speakers to INFORMS, San Diego, 1997.
• " Use of Bootstrapping and Cross Validation for Model Selection in Neural Networks," (Murali Shanker, Michael Hu, Ming Hung and Eddy Patuwo), invited speakers to INFORMS, San Diego, 1997.
• "Diagnosis and Prediction of Breast Cancer Using Neural Networks," (Murali Shanker, Michael Hu, Ming Hung and Eddy Patuwo), invited speakers to International Conference on Operations and Quantitative Management, India, 1997.
• "Neural Networks and Estimation of The Posterior Probabilities," (Eddy Patuwo, Murali Shanker, Ming Hung and Michael Hu) INFORMS, Los Angeles, 1995.
• "Classification in Neural Networks," (Michael Hu, Ming Hung, Eddy Patuwo and Murali Shanker) invited speakers to the TIMS International Conference in Singapore, 1995.
• "Modeling issues in using Neural Networks Classifiers," (Michael Hu, Ming Hung, Eddy Patuwo and Murali Shanker) invited speakers to the TIMS International Conference in Singapore, 1995.
• "Application of Neural Networks in Predicting Joint-Venture Performance," (Michael Hu, Ming Hung, Eddy Patuwo and Murali Shanker), invited speakers to INFORMS, New Orleans, 1995.
• "Neural Networks for Classification," (Michael Hu, Ming Hung, Eddy Patuwo and Murali Shanker) College of Business, Kent State University, October 1994.
• "Application of Artificial Neural Networks to Classification Problems," (Michael Hu, Ming Hung, Eddy Patuwo and Murali Shanker) invited speakers, Department of Finance, Kent State University, April 1994.
• "Evaluation of Least-Squares Criterion for Neural Network Classifiers," (Michael Hu, Ming Hung, Eddy Patuwo and Murali Shanker) invited speakers to the ORSA/TIMS conference in Detroit, 1994.
• "Error Analysis in Neural Networks: Implications and Importance," (Murali Shanker and Eddy Patuwo) invited speakers to the TIMS/ORSA conference in Chicago, 1993.
• "Distributed Simulation: Theory and Practice," Department of Administrative Sciences, Kent State University, October 1993.
• "The Effect of Synchronization Requirements on the Performance of Distributed Simulations," (Murali Shanker and Eddy Patuwo) 7th Workshop on Parallel and Distributed Simulation, May 1993.
• "Efficient Distributed Simulations Through Load Reallocation," invited speaker, Department of Industrial and Systems Engineering, Ohio State University, April 1992.
• "An Approximate Analysis of Throughput in Distributed Simulations," (Murali Shanker and Eddy Patuwo) invited speakers to the TIMS/ORSA conference in Orlando, 1992.
• "A Congestion Measure for Dynamic Task Allocation in Distributed Simulation," invited speaker, Department of Mathematics and Computer Science, Kent State University, May 1992.
• "Practical Performance Parameters for Distributed Simulation," (Murali Shanker, and David Kelton) invited speakers to the TIMS/ORSA conference in Nashville, 1991.
• "Dynamic Task Allocation for Distributed Simulation Schemes," (Murali Shanker, David Kelton, and Rema Padman) invited speakers to the CORS/TIMS/ORSA conference in Vancouver, 1989.

Sessions Organized / Chaired

• " Health care and AI," for the INFORMS conference in San Antonio, November 2000.
• " Data Mining and Knowledge Discovery," cluster chair, INFORMS Cincinnati, May 1999.
• " Application of AI Techniques," for the INFORMS conference in Seattle, 1998.
• " Application of AI Techniques," for the INFORMS conference in Dallas, 1997.
• " Applications of Neural Networks and Other AI Techniques," for the INFORMS conference in Washington, DC, 1996.
• " Applications of Neural Networks," by the ORSA Artificial Intelligence Group for the INFORMS conference in New Orleans, 1995.
• " Neural Network Applications," for the TIMS international conference in Singapore, 1995.
• " Artificial Intelligence Applications," by the ORSA Artificial Intelligence Group for the ORSA/TIMS conference in Detroit, 1994.
• " The Effect of Different Factors on Neural Network Training and Classification," by the ORSA Artificial Intelligence Group for the ORSA/TIMS conference in Detroit, 1994.
• " Distributed Simulation: Theory and Practice," by the TIMS College on Simulation for the TIMS/ORSA conference in Orlando, 1992.

Doctoral Dissertation Committees (Kent State University)

• Hyunjung Lee, Department of Marketing, ongoing.
• Kevin Trainor, "Examining the Integration of Technical Knowledge Following Mergers and Acquisitions," Department of Marketing, ongoing.
• Claudia Costiuc, "The Explicit Versus Implicit Learning: Using Implicit Learning to Explain Brand Placement Effects," Department of Marketing, ongoing.
• Annie Cui, "Understanding Brand Managers' Intangible Capital and Capability," Graduate Faculty Representative, June 2008
• Wei (Andy) Hao, "Brand Alliance Model and Global Brand Alliance," Department of Marketing, June 2008.
• David Zhu, "Capabilities of Adaptive Multi-Agent Simulation Architecture for Supply Chain Management," July 2008.
• Terry Moran, "A Simulation Study of Flexible Manufacturing Systems," Department of Management & Information Systems, May 2008.
• Xin Liu, "Brand Extensions: Affect Transfer, Network Effects, and Sub-Branding," Department of Marketing, August 2007.
• Jun Ma, "Attribution, Expectation, and Recovery: An Integrated Model of Service Failure and Recovery," Graduate Faculty Representative, Department of Marketing, August 2007.
• Jing Wang, "The Role of Social Networks in the Success of Open-Source Software Systems: A Theoretical Framework and An Empirical Investigation," Dissertation Co-Advisor, May 2007.
• Kholekile Gwebu,"Towards an Understanding of the Role of Information Architecture on the Performance of First-Score Reverse Multi-Attribute Auctions," Dissertation Advisor, May 2006.
• Salsawit Shifarraw, "Effective Networking Systems for Developing Countries, and How They Can Accelerate Development," Honors Thesis, Computer Information Systems, 2005.
• Jyh-Shyan Lan, "A Study of Asymmetric Misclassification Cost and Imbalance Group Sizes in Neural Networks Classifiers," 2005.
• Angela Guercio, "An Internet Based Language for Distributed Multimedia Applications," Department of Computer Science, 2004.
• Brian Schwartz, "Wireless Networking," Department of Management & Information Systems, Undergraduate Honors Thesis, 2004.
• Seung Yang, "A Framework for Complex Composition of Netcentric Systems," Department of Computer Science, 2004.
• Weidong Liao, "IAMC Framework: Design and Prototyping," Department of Computer Science, 2003.
• Stephen Ryan, "A Logic Based Abstract Model and Visual Environment for Distributed Simulation and Design of Complex Systems over the Internet," Department of Math and Computer Science, May 2001.
• Erni Ekawati, "The Role of Industrial Structure on the Variation in International Stock Market Indices," Department of Finance, May 1998.
• Pierre David, "An Empirical Study of Parametric Statistical Robustness," Department of Marketing. 1998.
• Guoziang Zhang, "Forecasting with Neural Networks," Department of Administrative Sciences. 1998.
• Simon Gray, "MP: A Protocol for the Efficient Exchange of Mathematical Data," Department of Math and Computer Science, September 1998.
• Iyad Ajwa, "Parallel Algorithms and Implementations for the Grobner Bases Algorithm and the Characteristic Sets Method," Department of Math and Computer Sciences, August 1998.
• Anthony Kos, "Performance Anticipations and Cluster-Analytically Derived Synergy Categories in Mergers and Acquisitions," Department of Administrative Sciences, August 1997.
• Byung Ahn, "Forward-Additive Neural Network Models," Department of Administrative Sciences, May 1996.
• Terry Mielke, "Investigating Sampling Distribution Approximations," Department of Administrative Sciences, May 1996.
• David Dumpe, "Contingent Claim Valuation of Indemnified Health Insurance Plans," Department of Finance, June 1996.
• Yaser Doleh, "The Design and Implementation of a System Independent User Interface for an Integrated Scientific Computing Environment," Department of Computer Science, 1995.
• Douglas M. Kline, "Heuristics for Active Learning of Boolean Functions Motivated by the Matching-Identification Problem," Department of Administrative Sciences, 1995.
• Craig Williams, "A Single Period, Single Item Fixed-Life Perishable Inventory Model with Positive Order Leadtimes," Department of Administrative Sciences, 1995.
• Kathleen A. O’Donnell, "Social-Comparison Affect and its Advertising Implications," Department of Marketing, 1995.
• Suh Kang, "An Investigation of The Use of Feed-Forward Networks For Forecasting," Department of Administrative Sciences, 1991.
• William G. Vendemia, "The Value of Time in Production/Inventory Systems," Department of Administrative Sciences, 1991.

Awards and Nominations

• College of Business Tenure-Track Teaching Award, 2008
• Nominated for College of Business Administration Award, 2007
• Distinguished Teaching Award, Kent State Alumni Association, 2006
• Mentorship Excellence Award, 2006.
• Nominated for Mentorship Excellence Award, 2004, 2005
• Nominated for Paul L. Pfeiffer Professional and Creative Teaching Award: 2003, 2005.
• Nominated for the Professor of the Year Award, 2003.
• Nominated for University Distinguished Staff Award - Flashline Team, 2003.
• Nominated for University Distinguished Staff Award - Cross-Divisional Team, 2004.

Research Grant Awards and Proposals

• Summer Research and Creativity Awards, Kent State University:
  • "An investigation of Open Source Software Success With Implications for Developers and Users," Summer 2006
  • "Self-Organizing Searchers: A Bottom-Up Approach to Online Searches," Summer 2002.
  • "Estimating Breast Cancer Risk Using Neural Networks," 1999.
  • "Using Neural Networks for Detection of Breast Cancer," 1996.
  • "Testing and Inference in Artificial Neural Networks," 1993
• Teaching Grants, Kent State University:
• Interactive Web-Based Course for Fundamentals of Business Statistics, Summer 2004
• Web-based Course in Fundamentals of Business Statistics, from Provost's Office, Kent State University, 2000
• University Research Council
• "Using Neural Networks for the Management of Medical Technology," small grant, March 1996.
• Engaging and Involving the Student Learner through Intensive Interaction: An IT-Driver Approach, proposal submitted for $82327 to Partnerships in Transforming Teaching and Learning with Technology, Kent State University. Joint proposal with Michael Hu and Richard Kolbe, Department of Marketing. 2004. Proposal was rejected.
• Interdisciplinary Computational Research, OBR proposal submitted for $88,200 as part of the Institute for Computation Science, Kent State University. 2003. Proposal was rejected.
• Self-Organizing Searches: A Bottom-up Approach to Online Information Access and Information Infrastructure Management. NSF Proposal for $147,665, February 2000. Proposal was rejected.
• Doctoral Dissertation Fellowship, School of Management, University of Minnesota, 1988.
• Graduate Fellowship, University of Minnesota, 1984.
• Graduated First Class First Rank in M.S., University of Madras, 1981.
• Merit Award, University of Madras, 1979-1981.

Professional Activities

Papers Reviewed

• Decision Support Systems: 2007
• IJWLTT: 2007, 2009 (2)
• Tenure and promotion file for Somnath Mukhopadhyay, The University of Texas at El Paso, August 2007.
• IRMA: 2002 (3), 2003 (3), 2004 (2), 2005 (2), 2007 (2)
• Decision Science Institute: 2003, 2005 (2), 2007 (1), 2008 (1)
• Journal of Information Technology and Education: 2005 (1), 2006 (2), 2007 (1), 2008 (1)
• Informing Science and Information Technology: 2002 (3), 2004 (2), 2005 (2), 2006 (3)
• Computers and OR: 2004 (1)
• Decision Sciences: 2000, 2001, 2002, 2003
• Operations Research, 2002
• International Journal of Public Sector Decision Making: 1997 (1)
• International Conference on Neural Networks: 1997 (12)
• IIE Transactions on Operations Engineering: 1997 (1)
• International Journal of Computational Intelligence and Organizations: 1996 (1)
• Journal of Chemical Information and Computer Sciences: 1996 (3)
• IEEE Transactions on Neural Networks: 1995 (1)
• ORSA Journal of Computing: 1995 (1)
• OMEGA: 1994 (1)
• Journal of Parallel and Distributed Computing: 1992 (1)
• ACM Transactions on Modeling and Computer Simulation: 1992 (1)

Professional Committees and Review Board

Editorial Review Board

• International Journal of Web-based Learning and Teaching Technologies, joined 2004.
• Informing Science Journal, joined 2004.
• Journal of Information Technology and Education, joined 2004.
• Informing Science and Information Technology Education Joint Conference, 2004.

Professional Committees

• IRMA: 2002--2007.
• USENIX campus representative: 2007 onwards.
• Full member of INFORMS.
• Member of ACM, Society for Computer Simulation.
• Member of the Ohio Consortium on Parallel Processing.
• Secretary of the Operations Research Association, University of Madras, 1979--1981.

• Service

  Departmental Committees

• PhD coordinator: Summer 2007 onwards
• PhD program revision: 2007
• Implemented, with David Zhu and Pam Silliman, the new Department website and intranet server, 2005.
• Faculty advisory committee: 1996--1998, Fall 1998, 1999--2001, 2003--2005
• Committee to implement BETA procedures: 2004 -- ongoing
• Teaching assessment subcommittee: 2004--2005
• Undergraduate programs committee: 1994--1998; 1999--2004
• Graduate programs committee: Fall 2000.
• Search committee (IS positions): Fall 2000.
• Revision of OM major: 1998
• On committee to coordinate projects with the Mathematics/Computer Science department, Kent State University
• On committee to coordinate projects with other Kent State University campuses: 1996--1997
• Academic discovery day: 1993, 1995, 1997, 1999, 2001, 2003, 2004 (2), 2006
• Graduate research council celebration of scholarship, 1995, 1998, 2005
• Resource Coordinator: 1998--ongoing
• Foundation scholarship student reception, 2000

College Committee

• PhD Task Force Sub-Committee, Spring 2009
• Graduate Council, May 2007 - May 2009
• RETAIN, Kent State University, 2008
• Chair, adhoc committee for graduate faculty status, 2008 - February 2009
• PhD subcommittee, Fall 2007 onwards
• Advisor, MISA, Fall 2007 onwards
• Student retention committee: Summer 2007
• On joint committee with Department of Marketing to implement CRM system for marketing. 
• College advisory committee: 2004--2005
• Graduate faculty committee: 2003--2005
• Committee to set policies regarding the College of Business World Wide Web: 1996
• College curriculum committee: 1993--1995.
• Computer policy committee: 1992--1994.
• Commencement Ceremonies: Fall 1990, 1991, 1994, 1995, 1996; Summer 1992, 1993, 2007 (Mace Bearer).
• Reception committee for prospective students: 1992, 1994.
• Parents day faculty panel, 1991.
• Networking meeting, Alumni Council, 1993

University Committees

• Statistical and Qualitative Software Advisory Panel, Spring 2009 onwards
• Chair, UCT Subcommittee on Course Recording Software, Spring 2009 onwards
• GPC Alternate, Spring 2009 onwards
• Consistency and Retention Transformation Committee, Spring 2008 onwards.
• RETAIN, Kent State University, 2008
• Member of Beta Teaching Project, Spring 2004 onwards.
• Academic Technology Services Standing Sub-Committee, 2000--2001. Goal of the committee is to develop and implement strategic initiatives in academic computing. Met approximately once a month.
• Institute for Computational Science. Ongoing.
• Learning and Teaching in Large Classes Faculty Learning Community: Coordinator, Fall 2006; Member, 2003--on going.
• Member of Working Group for Wireless Technologies, 2004 -- 2005. Met once a month, including Summer.
• Review board of RAGS summer research grant: 2003 (9 papers); 2007 (5 papers)
• College representative and member of Center for Excellence in Information Technology Group, Kent State University.
• Member of Class Schedule Modeling Project, Spring 2004-Fall 2005. Met once a month.
• Campus Pipeline, 2002--2004. Met approximately for two hours weekly for several months.
• DARwin Project, 2000--2001. Planning team to implement Web for Faculty and Advisors at Kent State University. Met weekly.Kent traffic study: member as an expert on simulation, 2000.
• WFFA implementation team. January 2002. Met approximately for two hours weekly for several months.