World's Best Scientists 2026 revealed!
Jean-Christophe Pesquet

Jean-Christophe Pesquet

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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
58
Citations
14589
World Ranking
3607
National Ranking
61

Research.com Recognitions

  • 2025 - Research.com Computer Science in France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award
  • 2012 - IEEE Fellow For contributions to statistical methods for signal recovery

Overview

Jean-Christophe Pesquet is affiliated with CentraleSupélec in France and has contributed extensively to the fields of Engineering and Computer Science. Their research spans a number of subfields including Artificial Intelligence, Computational Mechanics, Biomedical Engineering, Computer Vision and Pattern Recognition, and Radiology, Nuclear Medicine and Imaging.

Throughout their academic career, Pesquet has focused on several main topics of study: Sparse and Compressive Sensing Techniques, Photoacoustic and Ultrasonic Imaging, Numerical Methods in Inverse Problems, Image and Signal Denoising Methods, Medical Imaging Techniques and Applications, Adversarial Robustness in Machine Learning, and Advanced Optimization Algorithms Research.

Pesquet has published in well-regarded journals and venues, contributing to the scientific community with a focus on signal processing and imaging sciences. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • HAL (Le Centre pour la Communication Scientifique Directe)
  • SIAM Journal on Imaging Sciences
  • 2022 30th European Signal Processing Conference (EUSIPCO)

Recent research papers highlight a diverse range of applications and theoretical developments. Notable works include:

  • "Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients" (2021, Nature Communications)
  • "Learning Maximally Monotone Operators for Image Recovery" (2021, SIAM Journal on Imaging Sciences)
  • "Fixed Point Strategies in Data Science" (2021, IEEE Transactions on Signal Processing)
  • "Lipschitz Certificates for Layered Network Structures Driven by Averaged Activation Operators" (2020, SIAM Journal on Mathematics of Data Science)
  • "Primary liver cancer classification from routine tumour biopsy using weakly supervised deep learning" (2024, JHEP Reports)

Their frequent co-authors include Émilie Chouzenoux, Audrey Repetti, Marion Savanier, Ismail Ben Ayed, and Sagar Verma, reflecting collaborative work in related interdisciplinary topics.

Jean-Christophe Pesquet's contributions have been recognized with honors such as the IEEE Fellow award in 2012 for contributions to statistical methods for signal recovery.

Best Publications

  • Proximal Splitting Methods in Signal Processing

    Patrick Louis Combettes;Jean-Christophe Pesquet

  • Time-invariant orthonormal wavelet representations

    J.-C. Pesquet;H. Krim;H. Carfantan

  • A Douglas–Rachford Splitting Approach to Nonsmooth Convex Variational Signal Recovery

    P.L. Combettes;J.-C. Pesquet

  • Primal-Dual Splitting Algorithm for Solving Inclusions with Mixtures of Composite, Lipschitzian, and Parallel-Sum Type Monotone Operators

    Patrick Louis Combettes;Jean-Christophe Pesquet

  • Playing with Duality: An overview of recent primal?dual approaches for solving large-scale optimization problems

    Nikos Komodakis;Jean-Christophe Pesquet

  • A proximal decomposition method for solving convex variational inverse problems

    Patrick Louis Combettes;Jean-Christophe Pesquet

  • A variational formulation for frame-based inverse problems

    Caroline Chaux;Patrick Louis Combettes;Jean-Christophe Pesquet;Valérie R. Wajs

  • Image restoration subject to a total variation constraint

    P.L. Combettes;J.-C. Pesquet

  • Variable Metric Forward---Backward Algorithm for Minimizing the Sum of a Differentiable Function and a Convex Function

    Emilie Chouzenoux;Jean-Christophe Pesquet;Audrey Repetti

  • Proximal Thresholding Algorithm for Minimization over Orthonormal Bases

    Patrick L. Combettes;Jean-Christophe Pesquet

  • Stochastic Quasi-Fejér Block-Coordinate Fixed Point Iterations with Random Sweeping

    Patrick Louis Combettes;Jean-Christophe Pesquet

  • A block coordinate variable metric forward---backward algorithm

    Emilie Chouzenoux;Jean-Christophe Pesquet;Audrey Repetti

  • Long-range dependence and heavy-tail modeling for teletraffic data

    O. Cappe;E. Moulines;J.-C. Pesquet;A.P. Petropulu

  • Parallel Proximal Algorithm for Image Restoration Using Hybrid Regularization

    N. Pustelnik;C. Chaux;J. Pesquet

  • Image analysis using a dual-tree M-band wavelet transform

    C. Chaux;L. Duval;J.-C. Pesquet

  • Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients.

    Nathalie Lassau;Samy Ammari;Emilie Chouzenoux;Hugo Gortais

  • A Survey of Stochastic Simulation and Optimization Methods in Signal Processing

    Marcelo Pereyra;Philip Schniter;Emilie Chouzenoux;Jean-Christophe Pesquet

  • Euclid in a Taxicab: Sparse Blind Deconvolution with Smoothed ${ll _1}/{ll _2}$ Regularization

    Audrey Repetti;Mai Quyen Pham;Laurent Duval;Emilie Chouzenoux

  • A Parallel Inertial Proximal Optimization Method

    Jean-Christophe Pesquet;Nelly Pustelnik

  • A Majorize-Minimize Subspace Approach for $ll_2-ll_0$ Image Regularization

    Emilie Chouzenoux;Anna Jezierska;Jean-Christophe Pesquet;Hugues Talbot

  • Primal-dual splitting algorithm for solving inclusions with mixtures of composite, Lipschitzian, and parallel-sum monotone operators

    Patrick L. Combettes;Jean-Christophe Pesquet

  • Image Analysis Using a Dual-Tree M -Band

    Caroline Chaux;Laurent Duval;Jean-Christophe Pesquet

Frequent Co-Authors

Beatrice Pesquet-Popescu
Beatrice Pesquet-Popescu University of Paris-Saclay
Patrick L. Combettes
Patrick L. Combettes North Carolina State University
Hugues Talbot
Hugues Talbot University of Paris-Saclay
Philippe Ciuciu
Philippe Ciuciu French Institute for Research in Computer Science and Automation - INRIA
Jean-Yves Tourneret
Jean-Yves Tourneret National Polytechnic Institute of Toulouse
Athina P. Petropulu
Athina P. Petropulu Rutgers, The State University of New Jersey
Hamid Krim
Hamid Krim North Carolina State University
Gilbert Engler
Gilbert Engler INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Nikos Komodakis
Nikos Komodakis University of Crete
Alfred O. Hero
Alfred O. Hero University of Michigan–Ann Arbor

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