Email: dbraha@umassd.edu
Phone: 508.999.6961
Office: CCB 223

Professor Dan Braha received his PhD in operations research and industrial engineering from Tel Aviv University, Israel. Currently, he is an Associate Professor at the University of Massachusetts, Dartmouth, and is an affiliate of the New England Complex Systems Institute (NECSI) in Cambridge MA. Dr. Braha was a Visiting Professor at the Massachusetts Institute of technology (MIT), a Research Scientist at Boston University, and a tenured faculty at Ben-Gurion University. Dr. Braha has published extensively in various prestigious journals including Management Science, IIE Transactions, IEEE Transaction, Physical Review, the International Journal of Production Research, and Research in Engineering Design. He has also published a book on the foundations of design with Kluwer, a book on data mining with Kluwer, and a book on the emerging science of Complex Engineered Systems with Springer. Dr. Braha has served as Associate Editor for IEEE Transactions, and the editor of several special journal issues. Currently, he serves on the editorial board of several leading journals.

He has also served on executive committees and as chair in several international conferences. Dr. Braha's research interests are in the creation of a new area of engineering and management science research whose main objective is to characterize the real-world structure, and eventually the dynamics of complex managerial systems.

SHOUHONG WANG - Ph.D. McMaster University

Email: swang@umassd.edu
Voice: 508-999-8579
Fax: 508-999-8646
Office: CCB 325

Shouhong Wang is a Professor of Management Information Systems. He received his Ph.D. (1990) in Information Systems from McMaster University, Canada. Before he joined University of Massachusetts Dartmouth, he was a senior production manager in a steel making company, and was a Professor of Information Systems at University of New Brunswick, Canada. His research interests include electronic commerce, information systems analysis and design, and artificial intelligence in business. Recently, he has been conducting research in knowledge management through semantic Web, data mining with incomplete data and sequence data, business rules management, and online auction design.

He has published over 70 papers in academic journals, including Journal of Management Information Systems, Information & Management, International Journal of Information Management, Human Systems Management, Information Systems Management, Journal of Electronic Commerce Research, IEEE Transactions on Systems, Man, and Cybernetics, Computers & Operations Research, Management Science, European Journal of Operational Research, OMEGA, Decision Sciences, IEEE Transactions on Patter Analysis and Machine Intelligence, Journal of The Operational Research Society, INFORMS Journal on Computing, Information Resources Management Journal, Computers & Industrial Engineering, Fuzzy Sets and Systems, Computational Intelligence, Canadian Journal of Administrative Science, International Journal of Production Economics, Knowledge and Information Systems, International Journal of Intelligent Systems in Accounting, Finance, and Management, Neural Computing & Applications, Industrial Management and Data Systems, INFOR, Journal of Organizational and End User Computing, and others.

BHARATENDRA RAI - Ph.D. Wayne State University, Detroit, USA

Email: brai@umassd.edu

Phone: 508-999-6434

Office: CCB 326

Dr. Rai is an Assistant Professor of Business Statistics in the Earle P. Charlton College of Business. He received his Ph.D. in Industrial Engineering from Wayne State University, Detroit. His two master's degrees include specializations in quality, reliability, and operations research from Indian Statistical Institute and another in statistics from Meerut University, India. He has vast experience in the area of applied statistics. This includes over seven years of consulting and training experience to various Indian industries such as automotive, cutting tool, electronics, food, pharmaceutical, software, chemical, defense, etc., in the areas of statistical process control, design of experiments, quality engineering, problem solving tools, six-sigma, and quality management systems. He also has extensive research and work experience of over five years at Ford Motor Company in the area of quality, reliability, and six-sigma.

Dr. Rai's research interests include applications in multivariate diagnosis/pattern recognition and data mining, developing meta-models using computer experiments, prediction of unexpended warranty costs, and field performance studies from large warranty datasets. His research publications include journals such as IEEE Transactions on Reliability, Reliability Engineering and System Safety, Quality Engineering, International Journal of System Sciences, International Journal of Product Development, and Journal of System Science and System Engineering. He has presented his research work at professional meetings and conferences such as SAE World Conference, INFORMS Annual Meetings, Industrial Engineering Research Conference, ASQs Annual Quality Congress, Taguchi's Robust Engineering Symposium, and Canadian Reliability and Maintainability Symposium. He has also co-authored book chapters in the area of applied statistics.

Dr. Rai has won awards for Excellence and exemplary teamwork at Ford Motor Company for his contributions in the area of applied statistics. He also received an Employee Recognition Award by FAIA for Ph.D. dissertation in support of Ford Motor Company. He is certified as ISO 9000 lead assessor from British Standards Institute, ISO 14000 lead assessor from Marsden Environmental International, and Six Sigma Black Belt from American Society for Quality.

Staff

FEI YUAN - Graduate Assistant