Paromita Nath

Dr. Paromita Nath is an Assistant Professor in the Department of Mechanical Engineering at Rowan University's Henry M. Rowan College of Engineering. She holds a Ph.D. in Civil Engineering from Vanderbilt University and specializes in uncertainty quantification with applications in additive manufacturing and healthcare systems. Her research employs computational methods to develop probabilistic models for manufacturing process optimization.

Her primary research integrates Bayesian inference and computational modeling to study process-structure-property relationships in additive manufacturing. Current projects focus on developing probabilistic digital twins for manufacturing systems and multi-fidelity modeling approaches. Research spans health diagnostics, sustainable materials development, and digital engineering solutions.

Dr. Nath's publications demonstrate consistent focus on uncertainty management in manufacturing systems, with recent emphasis on surrogate modeling, probabilistic control systems, and multi-objective optimization. Her work frequently combines computational methods with practical manufacturing challenges.