Professional Information

Maître de Conférences HDR
@INSA Rennes - IETR, UMR CNRS 6164



Maître de Conférences at INSA Rennes with a joint appointment for research at Institut d'Electroniques et de Télécommunications de Rennes (IETR).

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.


List of publications.

Main Projects I am involved in

  • H2020 ITN ACHIEVE (2017-2019), including CSIC, Université Clermont Auvergne, UBFC, INIUD, UC, UGENT, IMASENIC, FLIR, KOVILTA, PREFIXA, NVIDIA.
  • H2020 CERBERO (2017-2019), including IBM (leader), UniSS, Thales Alenia Space, UniCA, INSA Rennes, UPM, Università della Svizzera Italiana, Abinsula, Ambiesense, TNO, S&T, and Centro Ricerche FIAT.

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.

  • COMPACT-SL-MODELS (2015-2019), including UMD (leader), National Chung Tiao University, Georgia Tech., INSA - IETR VAADER.

  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.

  • ANR HPeC (2015-2018), including Lab-STICC, INRIA Rhône-Alpes, Institut Pascal, Gibsa-Lab, INPiXal.

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.

  • GreenVideo FUI 16 Project (2014-2016), including Thales, Thomson Video Networks, Vitec, IETR, Lab-STICC, EKTACOM, TeamCast, INFOTRON.

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.

  • COMPA ANR Project (2011-2015), including INRIA/IRISA, CAPS Entreprise, IETR/INSA, Lab-STICC, Modae Technologies.

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.


Member of the HiPEAC european network and participating to the MPEG Green Metadata Standard. Member of the GdR SoC2 research group animation committee, in charge with Kevin Martin of the Design Tools & Methods theme. Member of the "Club EEA" group on Electronics and Automation.



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 experimented in 2014.




Published on  September 17th, 2019