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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 encompass smart healthcare, algorithm architectures, machine learning, counterfactual reasoning, and artificial general intelligence. He is actively involved in projects focused on predictive, proactive, personalized smart healthcare utilizing machine learning, along with investigating the synthesis of transformers to enhance processing capabilities in edge computing. Jha explores the integration of wearable medical sensors with sophisticated data processing methods to create a complete personal healthcare system, enabling effective disease detection and health monitoring through advancements in IoT. His work also includes developing neuro-symbolic algorithms to leverage the benefits of both neural networks and symbolic AI, creating innovative solutions for complex optimization problems. With extensive experience in editorial roles for notable IEEE journals, he has published over 480 technical papers, co-authored numerous books, and received multiple accolades for his research contributions, including over 25 U.S. patents. Jha's efforts aim to address critical challenges in cybersecurity within IoT frameworks and enhance the practical application of advanced technologies in healthcare and beyond.
Princeton University • Princeton, NJ
Conducting research and teaching in the field of Electrical and Computer Engineering.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.