Raju Balakrishnan, Ph.D.E-mail: firstname.lastname@example.org
- Ph.D., Purdue University
- M.S., University of Kentucky
- B.E., University of Madras
Raju Balakrishnan serves as Professor of Management and Dean of the the Merrick School of Business at The University of Baltimore. Prior to starting in this UBalt role in July 2023, he was Dean of the College of Business at University of Michigan-Dearborn.
He has also held positions in the College of Business and Behavioral Science at Clemson University, where he served on the faculty and administration for nearly 19 years. He has also served on the faculty at Tulane University and has taught in the Executive MBA program at Tulane and the University of Georgia.
Dr. Balakrishnan earned his Ph.D. in Management from Purdue University, M.S. in Mechanical Engineering from the University of Kentucky, and a B.E. with honors in Mechanical Engineering from the University of Madras in India.
Dr. Balakrishnan is the lead author of the textbook Managerial Decision Modeling: Business Analytics with Spreadsheets and has published extensively in leading academic journals such as Decision Sciences, Production and Operations Management, European Journal of Operational Research, IIE Transactions, and Computers & Operations Research. His primary teaching interests include spreadsheet-based decision modeling, business statistics, and operations management. He serves as senior departmental editor of Production and Operations Management and served as secretary of the Production and Operations Management Society during 2006-08. He has been recognized multiple times for teaching excellence at both Clemson and Tulane, and has received several research awards including best paper awards from the Decision Sciences Institute and the Institute of Industrial Engineers.
Dr. Balakrishnan is active in the local business and non-profit community and has served on the boards of two prominent non-profit service organizations.
Decision Analysis, Leadership, Modeling and Optimization
Spreadsheet-based Decision Modeling, Business Statistics, and Operations Management