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Niraj Jha joined the Electrical and Computer Engineering department at Princeton University in 1987 and became a full professor in 1998. His research interests include smart healthcare, machine learning, counterfactual reasoning, artificial general intelligence, Internet of Things (IoT), energy-efficient computing, and cybersecurity. He focuses on various projects involving predictive, proactive, preventive, and personalized smart healthcare solutions using machine learning. Jha is investigating the synthesis of transformers to accelerate processes, applications of synthetic control interventions in randomized control trials, and the integration of neuro-symbolic algorithms in developing methodologies for data-efficient decision-making. He has served as Editor-in-Chief for IEEE Transactions on VLSI Systems and as an Associate Editor for multiple IEEE transactions. Jha's contributions to the field include co-authoring five books and publishing over 480 technical papers, with 21 co-authored papers receiving awards. He holds 25 U.S. patents and is actively involved in research pertaining to the potential economic impact of IoT across various sectors, particularly smart healthcare.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.