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Petar Djuric

    1988 …2026

    Research activity per year

    Personal profile

    Biography

    Petar M. Djurić  earned his B.S. and M.S. degrees in Electrical Engineering from the University of Belgrade and his Ph.D. degree in Electrical Engineering from the University of Rhode Island.  Following his B.S. degree, he served as a Research Associate at the Institute of Nuclear Sciences, Vinča, Belgrade. Upon completing his Ph.D., he joined Stony Brook University, where he currently holds the position of SUNY Distinguished Professor and serves as the Savitri Devi Bangaru Professor of Artificial Intelligence. Prof. Djurić also held the role of Chair of the Department of Electrical and Computer Engineering from 2016 to 2023.

    Prof.  Djurić's research has primarily focused on investigating the fundamentals of machine learning and signal and information processing with a diverse range of interests within them including causal inference theory, information fusion, Bayesian optimization, Monte Carlo methods, distributed signal processing, autonomous agents, open world recognition, signal modeling, as well as detection and estimation. He applies the newly developed knowledge across various disciplines, including medicine and radio frequency identification.  He has published his work in more than 170 journal articles and  more than 370 conference papers. Prof. Djurić has served as a PhD advisor to over 40 PhD students and is currently mentoring 10 more. He has been invited to give lectures at more than 70 universities and conferences.

    Prof. Djurić has served on numerous technical committees for the IEEE and has been invited to lecture at universities in the United States and overseas. His IEEE Signal Processing Society (SPS) activities include Member-at Large of the SPS Board of Governors (2011-2013), Vice President-Finance (2006-09), Area Editor of Special Issues - IEEE Signal Processing Magazine (2002-05), Associate Editor - IEEE Transactions on Signal Processing (1994-96 and 2003-05), Chair - SPS Signal Processing Theory and Methods Technical Committee (2005-06), and Treasurer - SPS Conference Board (2001-03). He has been on the Editorial Board of several journals and has served on numerous committees of professional conferences and workshops. He was the first Editor-in-Chief of the IEEE Transactions on Signal and Information Processing over Networks (2015-2018). He was also a General co-Chair of the European Signal Processing Conference in 2022. Prof. Djurić was a recipient of the IEEE Signal Processing Magazine Best Paper Award in 2007 and the European Association for Signal Processing (EURASIP) Technical Achievement Award in 2012.

    Prof. Djurić is a Fellow of IEEE, a Fellow of EURASIP (the European Association for Signal Processing), a Fellow of AAIS (the International Academy of Artificial Intelligence Sciences), and  a Fellow of AIIA (the International Artificial Intelligence Industry Alliance). Additionally, he has been elected as a Foreign Member of the Academy of Engineering Sciences of Serbia. He has been inducted into the National Academy of Inventors and has been listed among the top 2% of scientists worldwide across all disciplines by Stanford University. 

    Research interests

    Prof. Djurić's research has primarily focused on investigating the fundamentals of machine learning and signal and information processing with a diverse range of interests within them including causal inference theory, information fusion, Bayesian optimization, Monte Carlo methods, distributed signal processing, signal modeling, as well as detection and estimation. He applies the newly developed knowledge across various disciplines.

     

     

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