Biography
I am a CNRS researcher in the SVH team of Laboratoire Jean Kuntzmann (LJK) at University Grenoble Alpes (UGA). My research interests include image and signal processing, wavelets, convolutional neural networks, stochastic processes and graphs analysis.
I was previously a postdoctoral fellow in a LIG team for the Data Institute of UGA where I worked with Éric Gaussier, Adeline Leclercq-Samson, Julien Chevallier and Jean-Marc Francony. I have defended my PhD thesis in December 2017, under the supervision of Valérie Perrier, Marianne Clausel and Laurent Condat. Before that, I was graduated from the École nationale supérieure d’informatique et de mathématiques appliquées, an engineering school of the Grenoble INP Institute of Technology.
For more information please find a resumé or my curriculum vitæ
- Image and signal processing
- Machine learning
- Stochastic processes
- Graphs analysis
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PhD in applied mathematics, 2017
University Grenoble Alpes
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Engineering degree (MSc) from Ensimag, 2013
Grenoble INP Institute of Technology
Supervising
PhD students
- Ali Fahkar (2023-) co-supervized with Irène Gannaz and Sophie Achard
- Thesis: Graph statistical learning for neuroscience
- Basile Dubois-Bonnaire (2023-) co-supervized with Sylvain Meignen
- Fethi Harkat (2023-) co-supervized with Guillaume Rey and Valérie Perrier
- Hubert Leterme (2019-2023) co-supervized with Karteek Alahari and Valérie Perrier. Now postdoc at ENSICAEN and CEA Paris-Saclay.
Master students
- Basile Dubois-Bonnaire (Feb-July 2023) co-supervized with Sylvain Meignen
- Master’s Thesis: Spectrogram image decomposition separating ridges from their interferences
- Dušan Vondraček (Mar-Aug 2021) co-supervized with Irène Gannaz and Sophie Achard
- Master’s Thesis: Graphical Models Generation
For the complete list of my supervisions (other internships and projects), see my curriculum vitæ.
Publications
Teaching
2020-2024
Wavelets and applications
- Course
- Lecture 1 – From Fourier to the 1D Continuous Wavelet Transform
- Lecture 2 – Wavelet zoom: a local characterization of functions
- Lecture 3 – The 2D Continuous Wavelet Transform
- Lecture 4 – The 1D Discrete Wavelet Transform and 1D Multi-resolution Analysis
- Lecture 5 – The 2D Discrete Wavelet Transform and 2D Multi-resolution Analysis
- Lecture 6 – Linear and nonlinear approximations in wavelet bases
- Lecture 7 – The scattering transform
- Lecture 8 – The Laplacian of a graph and its applications
- Lecture 9 – The graph Fourier transform and wavelets on graphs
- Lab tutorials
- Lab session 1 – 1D Continuous Wavelet Transform
- Lab session 2 – Fast Wavelet Transform, image compression and denoising
- Lab session 3 – Graph Fourier and Wavelet Transforms
2017-2018
DLST (Université Grenoble Alpes) — ATER
- Calcul matriciel et fonctions de plusieurs variables (TD L2)
- Statistiques (CM L1)
2014-2016
Ensimag (Grenoble INP) — Label RES-DCE
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Analyse pour l’ingénieur (TD 1A)
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Méthodes numériques (TP 1A)
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Introduction à la programmation Scilab et LaTeX (TP 1A)
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Traitement d’images (TP 2A)
For the details of my teaching, see my curriculum vitæ.
Contact
- kevin.polisano@cnrs.fr
- 33457421705
- 150 Place du Torrent, Saint-Martin d'Hérès, Isère 38400
- Office 149 on Floor 1
- Every day from 8:30 a.m. to 6 p.m. except on Tuesday