Ph.D. (Wayne State University, Detroit, USA)
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 the 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 his 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.
Office: CCB 326