He earned the PhD degree from Concordia University, Canada. His research interests are operations research, operations management and Logical analysis of data. Specifically, his research focuses on investigating problems related to scheduling, configurations, inventory management, transfer line balancing and knowledge extraction from datasets. He has developed efficient algorithms by using decomposition techniques and nature inspired metaheuristics to deal with large scale industrial problems.