Assistant Professor, Mechanical Engineering; Henry M. Rowan College of Engineering
Dr. Nath’s research interests include Uncertainty Quantification, Additive Manufacturing, Process Design and Control under Uncertainty, Bayesian Inference, and Machine Learning. Dr. Nath has also applied the information fusion technique to predict clinical deterioration and the occurrence of unplanned treatment events for cancer patients. Her research has been supported by National Institute of Standards and Technology (NIST), U.S. Department of Energy (DOE), National Science Foundation (NSF), Advanced Research Projects Agency–Energy (ARPA-E), and Agency for Healthcare Research and Quality (AHRQ).
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About Paromita Nath
Dr. Nath’s research interests include Uncertainty Quantification, Additive Manufacturing, Process Design and Control under Uncertainty, Bayesian Inference, and Machine Learning. Dr. Nath has also applied the information fusion technique to predict clinical deterioration and the occurrence of unplanned treatment events for cancer patients. Her research has been supported by National Institute of Standards and Technology (NIST), U.S. Department of Energy (DOE), National Science Foundation (NSF), Advanced Research Projects Agency–Energy (ARPA-E), and Agency for Healthcare Research and Quality (AHRQ).
| 2022 - Present | Assistant Professor, Mechanical Engineering, Rowan University ‐ Henry M. Rowan College of Engineering | |
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