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Madhav Erraguntla is a Professor of Practice in the Department of Industrial and Systems Engineering at Texas A&M University. With a Ph.D. in Industrial Engineering from Texas A&M University (1996) and a Master of Technology in Industrial Engineering from the National Institute of Industrial Engineering (NITIE) in Bombay, India (1989), he has over 25 years of industry experience. His research interests include machine learning, artificial intelligence applications in healthcare, and supply chain management, focusing particularly on diabetes management, maintenance planning, and wearable sensor applications. Erraguntla has held positions as a senior research scientist at Knowledge Based Systems Inc. and as a principal data scientist at AT&T. He has led multiple Small Business Innovative Research (SBIR) projects for the Department of Defense and Department of Health and Human Services, contributing to national-level surveillance systems. Erraguntla is also a licensed Professional Engineer in Texas and a member of the Institute of Industrial and Systems Engineers (IISE).
Department: Department of Communication and Journalism. Ph.D. program only currently admitting. GRE is test-optional.