World's Best Scientists 2026 revealed!
Award Badge
Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
57
Citations
12117
World Ranking
3866
National Ranking
75

Research.com Recognitions

  • 2025 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award

Overview

Jalal M. Fadili is affiliated with the École Nationale Supérieure d'Ingénieurs de Caen in France. Their research spans multiple disciplines, focusing primarily on mathematics, computer science, and engineering.

The scientist's main fields of study include:

  • Mathematics
  • Computer Science
  • Engineering

The work also covers a number of specialized subfields:

  • Computational Mechanics
  • Computational Theory and Mathematics
  • Numerical Analysis
  • Applied Mathematics
  • Mathematical Physics

Fadili's primary research topics are as follows:

  • Sparse and Compressive Sensing Techniques
  • Advanced Optimization Algorithms Research
  • Optimization and Variational Analysis
  • Numerical methods in inverse problems
  • Statistical Methods and Inference
  • Stochastic Gradient Optimization Techniques
  • Advanced Mathematical Modeling in Engineering

Their publication record includes articles in a variety of venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • SIAM Journal on Optimization
  • Journal of Mathematical Imaging and Vision
  • SIAM Journal on Imaging Sciences
  • Evolution equations and control theory

Selected recent papers by Jalal M. Fadili include:

  • From the Ravine Method to the Nesterov Method and Vice Versa: A Dynamical System Perspective, 2022, SIAM Journal on Optimization
  • Optimal Reduced Model Algorithms for Data-Based State Estimation, 2020, SIAM Journal on Numerical Analysis
  • Sampling from Non-smooth Distributions Through Langevin Diffusion, 2020, Methodology And Computing In Applied Probability
  • First-order optimization algorithms via inertial systems with Hessian driven damping, 2020, Mathematical Programming
  • Wasserstein Control of Mirror Langevin Monte Carlo, 2020, arXiv (Cornell University)

Frequent co-authors in Fadili's work are:

  • Hédy Attouch
  • Peter Ochs
  • Yvain Quéau
  • Nathan Buskulic

In addition to journal articles, Jalal M. Fadili has contributed to book publications, including a work published by Cambridge University Press titled "Nonlocal Continuum Limits of p-Laplacian Problems on Graphs" in 2023.

Best Publications

  • Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity

    Jean-Luc Starck;Fionn Murtagh;Jalal Fadili

  • Colored noise and computational inference in neurophysiological (fMRI) time series analysis: Resampling methods in time and wavelet domains

    Ed Bullmore;Ed Bullmore;Chris Long;John Suckling;Jalal Fadili

  • The Undecimated Wavelet Decomposition and its Reconstruction

    J.-L. Starck;J. Fadili;F. Murtagh

  • Inpainting and Zooming Using Sparse Representations

    M.J. Fadili;J.-L. Starck;F. Murtagh

  • Wavelets, Ridgelets, and Curvelets for Poisson Noise Removal

    Bo Zhang;J.M. Fadili;J.L. Starck

  • A Generalized Forward-Backward Splitting

    Hugo Raguet;Jalal M. Fadili;Gabriel Peyré

  • Morphological Component Analysis: An Adaptive Thresholding Strategy

    J. Bobin;J.-L. Starck;J.M. Fadili;Y. Moudden

  • Fractional Gaussian noise, functional MRI and Alzheimer's disease.

    Voichita Maxim;Levent Sendur;Jalal Fadili;John Suckling

  • The neural representation of nouns and verbs: PET studies.

    Lorraine K. Tyler;Richard Russell;Jalal Fadili;Helen E. Moss

  • Wavelets and functional magnetic resonance imaging of the human brain.

    Ed Bullmore;Jalal Fadili;Voichita Maxim;Levent Şendur

  • Sparsity and Morphological Diversity in Blind Source Separation

    J. Bobin;J.-L. Starck;J. Fadili;Y. Moudden

  • A Proximal Iteration for Deconvolving Poisson Noisy Images Using Sparse Representations

    F.-X. Dupe;J.M. Fadili;J.-L. Starck

  • Dequantizing Compressed Sensing: When Oversampling and Non-Gaussian Constraints Combine

    L Jacques;D K Hammond;J M Fadili

  • Brain tissue classification of magnetic resonance images using partial volume modeling

    S. Ruan;C. Jaggi;J. Xue;J. Fadili

  • Multiplicative Noise Removal Using L1 Fidelity on Frame Coefficients

    Sylvain Durand;Jalal Fadili;Mila Nikolova

  • Generalized Forward-Backward Splitting

    Hugo Raguet;Jalal Fadili;Gabriel Peyré

  • Wavelets and statistical analysis of functional magnetic resonance images of the human brain.

    Ed Bullmore;Jalal M. Fadili;Michael Breakspear;Raymond Salvador

  • Analytical form for a Bayesian wavelet estimator of images using the Bessel K form densities

    J.M. Fadili;L. Boubchir

  • Total Variation Projection With First Order Schemes

    Jalal M Fadili;Gabriel Peyré

  • Robust Sparse Analysis Regularization

    S. Vaiter;G. Peyre;C. Dossal;J. Fadili

  • A quasi-Newton proximal splitting method

    Stephen Becker;Jalal Fadili

Frequent Co-Authors

Jean-Luc Starck
Jean-Luc Starck University of Paris-Saclay
Gabriel Peyré
Gabriel Peyré École Normale Supérieure
Fionn Murtagh
Fionn Murtagh University of Huddersfield
Su Ruan
Su Ruan University of Rouen
Gilles Aubert
Gilles Aubert Université Côte d'Azur
Edward T. Bullmore
Edward T. Bullmore King's College London
Dimitri Van De Ville
Dimitri Van De Ville École Polytechnique Fédérale de Lausanne
Michael Unser
Michael Unser École Polytechnique Fédérale de Lausanne
Romain Teyssier
Romain Teyssier University of Zurich
Lorraine K. Tyler
Lorraine K. Tyler University of Cambridge

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online options for Computer Science study in the USA opens doors for diverse students and career paths. Many students worry about prior academic performance, but the college with low gpa guide highlights institutions that offer flexible admissions, allowing more people to pursue tech degrees, regardless of past grades.

If you're looking to finish your degree sooner, consider a fastest computer science degree program online. Accelerated courses can help you start your tech career quickly, while still offering a comprehensive curriculum.

Additionally, those interested in interdisciplinary careers—such as technology in sustainability—can explore degrees in related fields. Discovering environmental engineering online degree options can prepare you for impactful roles at the intersection of engineering and environmental innovation.

Wondering about career outcomes? Consider what broad opportunities await professionals with similar expertise by learning what jobs can you get with an environmental science degree. Skilled graduates in these fields enjoy strong job prospects in technology, research, engineering, and beyond.

Best Scientists Citing Jalal M. Fadili

Trending Scientists

Recently Published Articles