World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
15246
World Ranking
4484
National Ranking
2097

Overview

Petar M. Djuric is affiliated with Stony Brook University in the United States. Their research spans multiple domains within computer science and engineering, with particular emphasis on artificial intelligence, cognitive neuroscience, electrical and electronic engineering, aerospace engineering, and signal processing.

Their scholarly contributions cover a wide array of specialized topics, including:

  • Gaussian Processes and Bayesian Inference
  • Functional Brain Connectivity Studies
  • Indoor and Outdoor Localization Technologies
  • Target Tracking and Data Fusion in Sensor Networks
  • Bayesian Modeling and Causal Inference
  • EEG and Brain-Computer Interfaces
  • Neonatal and Fetal Brain Pathology

Recent notable publications encompass:

  • "Near-Field Tracking with Large Antenna Arrays: Fundamental Limits and Practical Algorithms", 2021, Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)
  • "Fusion of Probability Density Functions", 2022, Proceedings of the IEEE
  • "Dynamic Radar Networks of UAVs: A Tutorial Overview and Tracking Performance Comparison With Terrestrial Radar Networks", 2020, IEEE Vehicular Technology Magazine
  • "Dynamic Radar Network of UAVs: A Joint Navigation and Tracking Approach", 2020, IEEE Access
  • "Electrocorticography reveals thalamic control of cortical dynamics following traumatic brain injury", 2021, Communications Biology

Frequent co-authorship has been established with colleagues including:

  • Kurt Butler
  • Marzieh Ajirak
  • Guanchao Feng
  • Yuhao Liu
  • Anna Guerra

The body of published work by this researcher appears prominently in several venues, such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • 2022 30th European Signal Processing Conference (EUSIPCO)
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • 2021 29th European Signal Processing Conference (EUSIPCO)

Their publications reflect extensive engagement with foundational and applied aspects of signal processing, radar networks, brain-computer interfaces, and Bayesian inference methods. These contributions highlight a multidisciplinary approach bridging engineering principles and computational intelligence techniques.

Best Publications

  • Particle filtering

    P.M. Djuric;J.H. Kotecha;Jianqui Zhang;Yufei Huang

  • Gaussian particle filtering

    J.H. Kotecha;P.M. Djuric

  • Resampling Methods for Particle Filtering: Classification, implementation, and strategies

    Tiancheng Li;Miodrag Bolic;Petar M. Djuric

  • Gaussian sum particle filtering

    J.H. Kotecha;P.M. Djuric

  • Indoor Tracking: Theory, Methods, and Technologies

    Davide Dardari;Pau Closas;Petar M. Djuric

  • Frequency tracking in power networks in the presence of harmonics

    M.M. Begovic;P.M. Djuric;S. Dunlap;A.G. Phadke

  • Parameter estimation of chirp signals

    P.M. Djuric;S.M. Kay

  • Magnetic Resonance Spectroscopy Identifies Neural Progenitor Cells in the Live Human Brain

    Louis N. Manganas;Louis N. Manganas;Louis N. Manganas;Xueying Zhang;Xueying Zhang;Xueying Zhang;Yao Li;Yao Li;Yao Li;Raphael D. Hazel;Raphael D. Hazel;Raphael D. Hazel

  • Resampling algorithms and architectures for distributed particle filters

    M. Bolic;P.M. Djuric;Sangjin Hong

  • Resampling algorithms for particle filters: a computational complexity perspective

    Miodrag Bolić;Petar M. Djurić;Sangjin Hong

  • Distributed particle filtering in agent networks: A survey, classification, and comparison

    O. Hlinka;F. Hlawatsch;P. M. Djuric

  • Target Tracking by Particle Filtering in Binary Sensor Networks

    P.M. Djuric;M. Vemula;M.F. Bugallo

  • Adaptive Importance Sampling: The past, the present, and the future

    Monica F. Bugallo;Victor Elvira;Luca Martino;David Luengo

  • Likelihood Consensus and Its Application to Distributed Particle Filtering

    Ondrej Hlinka;Ondrej Slučiak;Franz Hlawatsch;Petar M. Djurić

  • A model selection rule for sinusoids in white Gaussian noise

    P.M. Djuric

  • Asymptotic MAP criteria for model selection

    P.M. Djuric

  • New resampling algorithms for particle filters

    M. Bolic;P.M. Djuric;Sangjin Hong

  • Model selection by MCMC computation

    C. Andrieu;P. M. Djurić;A. Doucet

  • A new class of particle filters for random dynamic systems with unknown statistics

    Joaquín Míguez;Mónica F. Bugallo;Petar M. Djurić

  • Multiple Particle Filtering

    P. M. Djuric;Ting Lu;M. F. Bugallo

  • Resampling Methods for Particle Filtering

    Tiancheng Li;Miodrag Bolic;Petar M. Djuric

Frequent Co-Authors

Miodrag Bolic
Miodrag Bolic University of Ottawa
Yufei Huang
Yufei Huang University of Pittsburgh
Davide Dardari
Davide Dardari University of Bologna
Samir R. Das
Samir R. Das Stony Brook University
Steven Kay
Steven Kay University of Rhode Island
Miroslav Begovic
Miroslav Begovic Texas A&M University
Jean-Yves Tourneret
Jean-Yves Tourneret National Polytechnic Institute of Toulouse
José M. Menchón
José M. Menchón University of Barcelona

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