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Rishi Kamaleswaran is an Associate Professor in the Department of Electrical and Computer Engineering at Duke University. His research focuses on the application of artificial intelligence, machine learning, and data analytics in healthcare, particularly in critical care and perioperative medicine. He has published extensively on predictive models for sepsis and acute respiratory distress syndrome, utilizing large datasets and electronic health records to improve patient outcomes. His work also explores deep learning techniques for disease diagnosis and the potential use of wearable sensors for remote patient monitoring. He aims to leverage data-driven approaches to transform healthcare delivery and enhance patient care. In addition to his research, he has taught various courses in Electrical Engineering and Biomedical Engineering, contributing to the education of future data scientists and engineers in healthcare. Kamaleswaran's collaborative research has been validated and translated into clinical practice, highlighting the impact of artificial intelligence on improving healthcare outcomes.
Department of Biomedical Engineering (MS program)