The CSN team is a research group focusing on the study, design, implementation and optimization of digital and mixed signal systems. The proposed original methods and systems are implemented on FPGA or ASIC targets. The application fields encompass digital communication systems, software defined radio, security, artificial intelligence, IoT and embedded systems in general.
The CSN team includes the following permanent members :
- Jean-Baptiste BEGUERET (Full Professor)
- Dominique DALLET (Full Professor)
- Christophe JEGO (Full Professor)
- Camille LEROUX (Associate Professor)
- Mathieu ESCOUTELOUP (Associate Professor)
- Jonathan SAUSSEREAU (Associate Professor)
- Olivier MAZOUFFRE (Research Engineer)
The team also includes non-permanent members :
- Nader AMJI (Research and Teaching Assistant)
- Daoud KARAKOLAH (Research and Teaching Assistant)
- Joachim ROSSEEL (Research and Teaching Assistant)
Algorithms and architectures for digital communication systems
This research topic focuses on the design and optimization of algorithms for digital communications with a view toward optimized hardware and software implementations. Various components of the communication chain are addressed, notably channel coding, advanced modulation, detection and estimation stages. The hardware architectures developed are prototyped on FPGAs or evaluated on ASIC technologies. Optimized software implementations are created for different targets (x86, ARM, RISC-V). Several complete communication chains have been developed and deployed on software-defined radios (DVB-S2, DVB-RCS, 5G).
Current Ph.D. students
- Afaf ALAOUI MRANI : Studying the strengths and limitations of reinforcement learning methodsfor polar codes decoding. (2022 – …)
- Alexandre VALADE : Design of error correction codes for low latency communications. (2023 – …)
- Jérémy SAUVEUR : Study, design and implementation methodologies for MIMO receiver based on expectation propagation. (2025 – …)
Former Ph.D students
- Malek ELLOUZE : Distance properties of polar codes : theory and applications. July 5, 2024.
- Ian FISCHER-SCHILLING : Design and FPGA prototyping of an advanced receiver based on expectation propagation. March 17, 2025.
Developed tools
AFF3CT : An Open-source software (MIT license) dedicated to the Forward Error Correction (FEC or channel coding) simulations.
Design and optimization of computing systems
This research topic specializes in the design and optimization of modern computing systems, with a focus on emerging paradigms in hardware design, embedded systems, and computing efficiency. This work spans a wide range of topics, with applications in both general-purpose and domain-specific computing. The group’s efforts contribute to enhancing performance, energy efficiency, and security in modern computing architectures, with a focus on RISC-V-based systems.
Current Ph.D. students
- Filipe POUGET : Study and implementation on ASIC of low imprint RISC-V instruction set architectures. (2023 – )
- Maxime GRAS-CHEVALIER : RISC-V processor study for automotive : The architecture and its various abstraction layers. (2024 – …)
- Mélissa PAOLONE : Architectural and algorithmic exploration for the design of embedded multi-core RISC-V structures. (2024 – …)
- Thibault SCHWAB : (2025 – …)
- Florian COLLIN : Maximizing the Efficiency of a Modular Multi-Core RISC-V Processor Architecture under Strict Timing Constraints. (2025 – …)
Former Ph.D students
- Jonathan SAUSSEREAU : AsteRISC : flexible RISC-V Processor Architectures and Tools for Design Space Exploration. January 8, 2024.
Developed tools
- AsteRISC : A flexible multi-cycle RISC-V core designed for design space exploration.
- ODATIX : A powerful tool designed to facilitate implementation and validation of configurable digital designs across multiple FPGA and ASIC tools, including Vivado, OpenLane and Design Compiler.
Design of mixed signal systems
This research topic is dedicated to the design and optimization of mixed-signal systems, focusing on the interplay between analog and digital domains to overcome traditional challenges in analog circuit design. Their work emphasizes the use of digital techniques to compensate for non-idealities in analog circuits, thereby improving performance, efficiency, and scalability. Specific areas of interest include digital compensation for analog circuits such as power amplifiers (PAs) and analog-to-digital converters (ADCs), as well as the design of direct digital synthesizers (DDS).
Current Ph.D. students
- Estevan TU : High Q Reference Oscillator for High Performance Radar Waveform Generator. (2023 – …)
- Soazig LE BIHAN : SI analysis of high-speed serial and parallel buses for complex mixed-signal boards. (2023 – …)
- Adrien VINCENT : Study and modeling of various DDS (Direct Digital Synthesizer) architectures for RADAR applications. (2024 – …)
- Clément DUFOSSEE : Development of RF coupled Oscillators for AI Applications. (2024 – …)
- Pierre AMBLARD : Predict, identify and minimize EMI/EMC problems on aerospace and space equipment and products. (2025 – …)
- Enzo FERANDIER : (2025 – …)
Former Ph.D. students
- Stanislas DUBOIS : Linearization of a digital reception chain for a wideband receiver. December 17, 2024.
