Director: Michel Jézéquel
Assistant: Catherine Blondé
tel : 02-2900 1495
The Electronics department uses advanced methods and tools to design electronic devices for teaching and research purposes. We have the best tools (CAD) and measuring equipment available to provide engineering students with training suited to the realities of micro-electronics.
Research in the Electronics Department
The Electronics Department carries out its research in the Interaction between Algorithm and Silicon (IAS) team of the Lab-STICC laboratory.The research activity of the 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 (Brain-inspired Artificial Intelligence) 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.