csm_jean_martinet_f2322d983d.jpgIn brief

I am a Full Professor at Université Côte d'Azur. Since September 2019, I joined i3S lab (UMR 7271 CNRS / UNS) and Polytech Nice Sophia school. I am a member of the Modelisation, Simulation & Neurocognition group of SPARKS team.

Before joining Universté Côte d'Azur, I was an Associate Professor at Université de Lille from 2007 to 2019, with the Computer Science department of l'IUT 'A', and CRIStAL lab (UMR 9189 CNRS / Univ. Lille).

My main research interest is in the use of Spiking Neural Networks for Machine Learning, Computer Vision and Pattern Recognition. I belive that the so-call third generation of neural network models, strongly inspired from biology and neurosciences, is a good candidate for a paradigm change in machin learning with respect to data-hungry and power-hungry popular methods. Spiking networks show many interesting features for this paradigm change, such as their unsupervised training with Spike-Timing-Dependant Plasticity rules, and their implementation on ultra-low-power neuromorphic hardware. And yet, a number of challenges lie ahead before they become a realistic alternative for facing the ever-growing demand in machine learning.

I am the coordinator of the CHIST-ERA european programme APROVIS3D (1/4/2020-31/3/2023).

Regarding teaching, I am involved in several classes in Polytech Nice Sophia in 3rd and 4th years, and also in the Mater of Mathematical Engineering, in Mod4NeuCog, and in the CS department of IUT.

I am in charge of the Data Science track of the EIT Digital Master School at University Côte d'Azur from Sept. 2020 (the Head of our EIT hub is my colleague Pr. Françoise Baude).



1. CHISTERA conference programme 2020



Room 248
Laboratoire d'Informatique, Signaux et Systèmes de Sophia-Antipolis (I3S) - UMR7271 - UNS CNRS
2000, route des Lucioles - Les Algorithmes - bât. Euclide B 06900 Sophia Antipolis - France
Phone: +334-89-15-43-86.