معرفی
Sumitra Mukherjee is a Professor in the Department of Computing at Nova Southeastern University's College of Computing & Engineering. He holds a Ph.D. in Decision and Information Systems from Carnegie Mellon University and a B.S. from the Indian Institute of Technology, Kanpur. His research focuses on analytics, data science, machine learning, artificial intelligence, and data security. Prior to NSU, he was at Baruch College, CUNY. His work spans healthcare prediction models, sensor networks, high-energy physics, and algorithmic optimization. He has published in journals like Management Science and IEEE Transactions.
- Education: Ph.D. (Carnegie Mellon), B.S. (IIT Kanpur)
- Key Research Areas: Machine Learning, Healthcare Analytics, Sensor Technology
Research highlights include septic shock prediction using ensemble methods, adversarial training alternatives, and cooperative agent systems. Over 40 peer-reviewed articles demonstrate interdisciplinary impact in computing and engineering.
Recognized for contributions to computational methods in diverse fields, including medical diagnostics and particle physics instrumentation. Enjoys wildlife photography and coral reef exploration.
