Sanjeev R. Kulkarni

Sanjeev R. Kulkarni is the William R. Kenan, Jr., Professor of Electrical and Computer Engineering and Professor of Operations Research and Financial Engineering at Princeton University. He serves as Dean of the Faculty and is affiliated with the Department of Philosophy and the Center for Statistics and Machine Learning. His career spans roles as Dean of the Graduate School (2014-2017), Director of the Keller Center (2011-2014), and Master of Butler College (2004-2012).

His research intersects machine learning, information theory, and wireless networks, focusing on statistical pattern recognition, nonparametric estimation, and econometrics. He has pioneered work in universal information estimation, energy-efficient wireless communication, and distributed learning in sensor networks.

Recent publications highlight his work in forecast aggregation, robust geometric fitting, and variational Bayesian methods. These span communications, machine learning, and signal processing applications.

Scientific awards include the ARO Young Investigator Award, NSF Young Investigator Award, and IEEE Fellowship. He has received Princeton's President's Award for Distinguished Teaching and multiple Undergraduate Engineering Council Excellence Awards.

Prof. Kulkarni has advised 19 PhD students, including notable alumni at IBM, Google, Amazon, and RAND Corporation. His teaching spans four departments and includes courses like Learning Theory and Epistemology (cross-listed with Philosophy) and Wireless Revolution (telecom policy).