Interaction between Algorithms and Silicon (IAS) Team

IAS staff

Team leader: Catherine Douillard

  • 6 full professors
  • 9 associate professors (1 HDR) and 2 research fellows
  • 8 post-doctoral fellows and research engineers
  • 2 lab technicians and engineers
  • 15 PhD students

The team is located in three different sites: IMT Atlantique (IMTA), Université Bretagne Sud (UBS) and Ecoles de Saint-Cyr Coëtquidan (St-Cyr).

Research topics

The research activity of the IAS team is dedicated to the joint design of novel algorithms and architectures and to their digital and/or analog implementation. Our scientific approach relies on a strong expertise in algorithms for digital communications, in the design of digital and analog architectures and circuits, and in experimentation

This approach allows us to develop original algorithms with a different perspective from that conventionally adopted by the signal processing and information theory communities, while leveraging their latest developments. The most prominent success obtained following this approach was the discovery of Turbo Codes 25 years ago, a breakthrough in digital communications which still opens up new research perspectives.

The team is internationally renowned for its expertise in channel coding and iterative processing. Our scientific work has already been awarded several national and international prizes, including the 2003 IEEE Richard W. Hamming Medal, the 2005 Marconi Prize or the 2009 IEEE/SEE Glavieux Prize.

Beyond the field of telecommunications, the IAS team has initiated and is leading the Br.A.In project that aims to gain a better understanding of the mechanisms involved in mental information modelling and transmission within the brain.

Based on this approach, the IAS team is contributing to:

  • design coding and modulation schemes for the future generations of digital communication and broadcasting networks that address the requirements of these networks in terms of robustness, flexibility and throughput while meeting energy efficiency constraints,
  • provide hardware acceleration for high-performance computing in the field of network security,
  • reduce and better manage the energy consumption in analog and digital circuits,
  • propose flexible and reliable architectures for forthcoming nano-electronic systems,
  • develop neuro-inspired computing.

On-going projects


H2020 European project: 

  • EPIC (2017-2020), Enabling Practical Wireless Tb/s Communications with Next Generation Channel Coding

ANR (French National Research Funding Agency) project: 

  • NAND (2016-2019), Noise Against Noise Decoder


Recently completed projects


ERC project:

  • NEUCOD (2012-2017), Neural coding, specification, design and test of message passing neural machines 

H2020 European project: 

  • FANTASTIC-5G (2015-2017), Flexible Air iNTerfAce for Scalable service delivery wiThin wIreless Communication networks of the 5th Generation
  • METIS (2012-2015), Mobile and wireless communications Enablers for the Twenty-twenty Information Society

ANR (French National Research Funding Agency) project: 

  • FAON (2012-2015), Frequency Agile Optical access Network

Cominlabs Projects: 

  • NEURAL COMMUNICATION (2015-2018), aims at exploring the dynamic aspects of mental information theory at the millisecond scale 
  • RELIASIC (2014-2017), Reliable ASICs
  • SABRE (2014-2017), Seizing Advances in Brain-computer interface from high Resolution Electroencephalography imaging in runtime
  • BOWI (2012-2016), BOdy World Interaction: towards an accurate gesture and body movement estimation using very-small and low-power wearable sensor nodes
  • SENSE (2013-2016), Sparse neural coding & bionic vision system
  • NEURAL CODING (2012-2015), Identification of cortical networks from high-resolution EEG: application of the mental information therory


  • Smart Sensing (2012-2017), Make the textile of the future a reality, Industrial project
  • GREENCoMM (2013-2016), Gestion Raisonnée et Efficace en Energie des noeuds de CoMmunication pour la Maison, Sustainable and efficient energy management for home communication nodes, FUI


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