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Sanjeev R. Kulkarni is the William R. Kenan Jr. Professor in the Department of Electrical and Computer Engineering. His research spans a variety of areas including statistical pattern recognition, machine learning, applied probability, nonparametric statistics, information theory, communications, wireless networks, sensor networks, signal processing, image processing, video processing, adaptive systems, hybrid systems, and control econometrics finance. He has made significant contributions to the fields of data and information science, enhancing understanding and applications in these areas. Kulkarni's academic work is widely recognized and he has received various accolades throughout his career. He is dedicated to education and has mentored numerous students in their research endeavors.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.