Subrata Mukherjee graduated from Michigan State University in 2023 with a Ph.D. in Electrical Engineering. Following his Ph.D., he served as a Postdoctoral Fellow in the Division of Imaging, Diagnostics, and Software Reliability at the U.S. Food and Drug Administration until June 2024. In July 2024, he joined Oak Ridge National Laboratory (ORNL) as a Postdoctoral Research Associate. He currently serves as an R&D Associate Staff member at ORNL.
Subrata has research and industrial experience focused on algorithm development, non-invasive imaging, non-destructive evaluation, data analysis, signal and image processing, machine learning, process monitoring, and fault diagnostics. At ORNL, his research focuses on sensors and automation in complex real-world environments. This includes developing specialized algorithms and software tools for sensor management, fault detection and correction, modeling, optimization, and applying Machine Learning (ML) and Artificial Intelligence (AI) to enhance fault diagnostics, process monitoring, and advanced control methods. These sophisticated data-driven and physics-based models and tools have applications across various fields, including electrical grid monitoring, smart manufacturing, water treatment, desalination, and other non-destructive testing applications.
Links
Publications
Jul, 2026
Conference Paper
Rolling Root Mean Square Based Multimodal Anomaly Detection for Real Time Monitoring of Smart Grid
Mar, 2026
Conference Paper
Predicting Initial Trans-Membrane Pressure for Optimized Operations in UF Unit Using Random Forest
