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Riadh Fezzani, Ph. D.

Riadh Fezzani, Ph. D.

R&D engineer in applied mathematics
154 avenue Marx Dormoy, 92120, Montrouge. France
+33 6 75 86 21 97
rfezzani@gmail.com
https://rfezzani.github.io
French English Arabic

Background

About

About

Autonomous and curious, 12 years of experience, I appreciate multidisciplinary environments and the implementation of efficient algorithms.
I support open source projects and promote the KISS principle.

Skills

Skills

  • Image processing
    Optical flow Registration Stitching Template matching Segmentation Classification
  • Programming
    Python C/C++ Matlab Git
  • Machine learning
    MIL Anomaly detection Domain generalization
  • High performance computing
    Multithreading (openMP) GPGPU (CUDA)
  • Linear algebra
    Dense and sparse systems Direct and iterative solvers Preconditionning Low-rank approximation
  • 3D visualization
    Ray tracing Shading (openGL/GLSL)
Work Experience

Work Experience

  • R&D engineer,  VitaDX

    Since October 2017 9 years

    I actually work in the R&D team in the context of the Visiocyt medical software project. I am involved in the design and the development of the bladder diagnosis pipeline, based on the analysis of large whole slide images of urine cytology. I co-supervised a Ph. D. student and advised several interns. I also participated in the filing of three patents
    • Multi-layer WSI classification
    • Cell type classification
    • Cell nuclei segmentation
    • Medical software development (ISO 62304)

  • Engineer,  Ausy

    November 2014 - September 2017 3 years

    In the R&D departement of Océ - A Canon compagny, within the Eiger project (high resolution, large format and full color 2.5D and 3D printing), my work consisted in developping multiple tools for the visualization and the manipulation of digital 3D objects. During this mission, I participated to three patent filings.
    • Mesh voxelization
    • SVO data structure
    • Volume slicing
    • Realtime visualization
    • Photorealism
    • Height map and texture generation
    • Cutpath generation

  • Postdoctoral research,  IOGS

    June 2013 - November 2014 18 monthes

    Within the SPIM team in the laboratoire Charles Fabry, I worked in the context of the Reveal project in close collaboration with the iMove team at ONERA, the Institut de la Vision and Imagine Eyes on the design of efficient algorithms for the processing of eye fundus images aquired with an adaptive optics camera.
    • Code acceleration and optimization
    • Fast image registration
    • Image enhancement
    • Acquisition area detection (mutual information maximization)
    • Blood vessel activity detection
    • UI for data base manipulation

  • Postdoctoral research,  INRIA

    March 2011 - May 2013 2 years

    Within the PARALL team in the LRI, I worked in the context of the PetalH project on the design of new parallel preconditioners made for the acceleration of the resolution of large ill-conditioned sparse linear systems.
    • Sparse linear algebra
    • Iterative linear solver
    • Preconditionning
    • Sparse matrix graph reordering
    • Domain decomposition
    • Approximate block LDU factorization with filtering constraints
    • Low-rank approximation

  • Ph.D. thesis,  ONERA

    November 2007 - January 2011 3 years

    In the hight performance computing team (DTIM/CHP), “Parallel approach for optical flow estimation by variational method” (Advisors: Frédéric Champagnat and François-Xavier Roux).
    • Combined local gloal approach
    • Total variation regularization
    • High performance computing (multithreading, GPGPU)
    • Particle image velocimetry
Education

Education

  • Ph.D.,  Université Pierre et Marie Curie (Paris VI)

    November 2007 - January 2011

    Applied mathematics

  • M.D.,  Université Paul Sabatier (Toulouse III)

    September 2006 - July 2007

    Mathematical modeling and computer science
Volunteer Work

Volunteer Work

Publications and communications

Publications and communications