contact: Gilles Le Chenadec
Science project
The science project of the MATRIX (Models and AlgoriThms for pRocessIng and eXtracting information) team is to develop new methods to learn, model and understand temporally and spatially structured information (signals, images, time series). These methods will be designed with optimality and performance in mind.
Who are we?
The members of the MATRIX team consists of members drawn from various scientific fields (signal processing, control and command, optimization) and have significant experience in various application domains. They share the observation that it is necessary to develop new generic methods to overcome the technological barriers posed by the applications.
The MATRIX team members are located at IMT Atlantique and ENSTA Bretagne and consists of :
- 3 full professors HDR
- 4 associate professors
- 1 research engineer
- 3 post-doctoral researchers
- 14 PhD students
Scientific objectives
- developing data-driven and model-driven methods
- combining physical, dynamic and/or statistical models with data-driven models
- solving sparse and global optimization problems
Academic expertise
- information processing: signal, image, video, unstructured data
- machine learning
- control of uncertain dynamic systems
- physical, Bayesian and non-Bayesian modeling
- sparsity
- continuous and global optimisation
- inverse problems
Examples of applications
- network metrology
- detection and localization in urban environment by HF radar
- design of sensor networks and optimization of their placement by compressed sensing
- characterization of soil salinity from time series of satellite images
- estimation and tracking of acoustic parameters of the underwater environment
- cetacean detection and tracking
- seafloor characterization from sonar data
- seismic data processing
- robust control of underwater robots
- mathematical theory of resilience
On-going projects:
- Study and development of tools for real-time detection of sperm whale clicks for decision support in case of depredation in the Patagonian toothfish fishery(PhD CASSIANO Fabio)
- Optimized antenna design for passive acoustic source location (PhD COURCOUX-CARO Milan)
- Physics-inspired AI for underwater environment (DORFFER, Clément)
- Acoustic propagation in fluctuating media: from oceanographic phenomena to signal processing (PhD L’HER Alexandre)
- characterization of the acoustic backscatter index for improved seabed identification (PhD MOPIN Irène)
- Analysis and exploitation of LF SAS data for target recognition (PhD NOVELLA Fabien)
- Super modal resolution from a horizontal linear antenna (PhD PAVIET-SALOMON Thomas)
- Wave propagation in random environment and signal processing (PINSON Samuel)
- New statistical methods for network metrology (PhD GHANDI Sanaa)
- Radar Around-The-Corner: Detection and location of hidden targets in urban areas (PhD PHAM Ba-Huy)
- Robust AUV control with machine learning (PhD SOLA Yoann)
- Incremental Learning for Classification of Objects of Interest (PhD FERDINAND Quentin)
- Adaptive Control of Underwater Robots with Machine Learning (PhD CHAFFRE Thomas)
- Sensing-based Self-Reconfigurable Strategies for Autonomous Modular Robotic Systems (PhD MAJED Aliah )
- SMART Antennas HF (PhD HAJJI Zahran )
- Branch-and-bound algorithms for exact resolution of structured sparse problems (PhD SAMAIN Gwenaël)
- Global optimization for sparse optimization with L2-L0 norm (PhD BEN MHENNI Ramzi)