Maître de Conférences HDR
Maître de Conférences at INSA Rennes with a joint appointment for research at Institut d'Electroniques et de Télécommunications de Rennes (IETR).
Maître de Conférences associé at Institut Pascal, Clermont Ferrand.
Topics of Interest
Parallel Digital Signal Processing, Models of Computation, Models of Architecture, Low Energy Processing, Image and Telecommunication Processing, Heterogeneous Distributed Embedded Systems, Approximate Computing, Cybersecurity, Embedded Artificial Intelligence.
Main Projects I am involved in
Description: The CERBERO EU project aims at developing a design environment for Cyber-Physical Systems based on two pillars:
1. a cross-layer model-based approach to describe, optimize, and analyze the system and all its different views concurrently, and
2. an advanced adaptivity support based on a multilayer autonomous engine.
The targeted three applications of CERBERO are a self-healing system for planetary exploration, unmanned vehicles for ocean monitoring and a smart travel network for electric vehicles.
Description: The COMPACT-SL-MODELS project, financed by US National Science Foundation, develops new techniques to help advanced computing systems for signal processing better adapt to the environments in which they operate.
Description: The ARTEFaCT project aims to ease the design of energy efficient circuits by using approximate computing techniques. The project will contribute along three main research directions:
1- Approximate, ultra low-power circuit design,
2- Modeling and analysis of variable levels of computation precision in applications
3- Accuracy-energy trade-offs in software.
Description: The aim of the ANR HPeC project is to develop self-adaptive, energy-efficient high performance embedded computing in the context of Unmanned Aerial Vehicles.
Description: The aim or the FUI GreenVIDEO project is to study and develop mechanisms for reducing energy consumption of image/video creation, transformation, broadcast and rendering.
Description: The aim of the ANR COMPA project is to propose a methodology and a design framework for running applications specified with dataflow process networks on a heterogeneous distributed embedded system.
- Industrial Collaboration with Texas Instruments France on multicore DSP programming.
Main Developped Tool
Preesm is an open source rapid prototyping and code generation tool. It is primarily employed to simulate signal processing applications and generate code for multi-core processors.
Main Used Tools
CAPH Compiler is an open source tool for high level dataflow programming of FPGAs.
Orcc is an open source tool for multi-purpose dynamic dataflow programming of parallel systems.
GP Studio is an open source tool for the management of smart cameras.
Institut National des Sciences Appliquées Rennes (INSA Rennes)
Department of Electronics and Computer Engineering (EII)
Distributed Processing, Signal Processing, Embedded Linux, Electronics, Logic, Microcontrollers, Real-Time, Multidisciplinary Project
~chos (pronounce "echos") is a combined Art and Science project conducted with the artists Haythem Zakaria and Yro Yto in 2014.