Software defined radio architecture survey for cognitive testbeds. - Mickaël Dardaillon; Kevin Marquet; Tanguy Risset; Antoine Scherrer (IWCMC, 2012)

Hardware implementation of the GPS authentication. - Mickaël Dardaillon; Cédric Lauradoux; Tanguy Risset (ReConFig, 2012)

A compilation flow for parametric dataflow: Programming model, scheduling, and application to heterogeneous MPSoC. - Mickaël Dardaillon; Kevin Marquet; Tanguy Risset; Jérôme Martin; Henri-Pierre Charles (CASES, 2014)

Compilation d'applications flot de données paramétriques pour MPSoC dédiés à la radio logicielle. (Compilation of Parametric Dataflow Applications for Software-Defined-Radio-Dedicated MPSoCs). - Mickaël Dardaillon (2014)

Adaptive digital pre-distortion for future wireless transmitters. - Mickaël Dardaillon; Chadi Jabbour; Vason P. Srini (ICECS, 2015)

A New Compilation Flow for Software-Defined Radio Applications on Heterogeneous MPSoCs. - Mickaël Dardaillon; Kevin Marquet; Tanguy Risset; Jérôme Martin; Henri-Pierre Charles (ACM Trans. Archit. Code Optim., 2016)

Fine-Grain Iterative Compilation for WCET Estimation. - Isabelle Puaut; Mickaël Dardaillon; Christoph Cullmann; Gernot Gebhard; Steven Derrien (WCET, 2018)

Reconciling Compiler Optimizations and WCET Estimation Using Iterative Compilation. - Mickaël Dardaillon; Stefanos Skalistis; Isabelle Puaut; Steven Derrien (RTSS, 2019)

A Fast Heuristic to Pipeline SDF Graphs. - Alexandre Honorat; Karol Desnos; Mickaël Dardaillon; Jean-François Nezan (SAMOS, 2020)

An Automated and Centralized Data Generation and Acquisition System. - Majdi Richa; Jean-Christophe Prévotet; Mickaël Dardaillon; Mohamad Mroué; Abed Ellatif Samhat (ICECS, 2021)

High-Level Early Power Estimation of FPGA IP Based on Machine Learning. - Majdi Richa; Jean-Christophe Prévotet; Mickaël Dardaillon; Mohamad Mroué; Abed Ellatif Samhat (ICECS 2022, 2022)

Co-optimizing Dataflow Graphs and Actors with MLIR. - Pedro Ciambra; Mickaël Dardaillon; Maxime Pelcat; Hervé Yviquel (SiPS, 2022)

Ultra-Fast Machine Learning Inference through C Code Generation for Tangled Program Graphs. - Karol Desnos; Thomas Bourgoin; Mickaël Dardaillon; Nicolas Sourbier; Olivier Gesny; Maxime Pelcat (SiPS, 2022)

High-Level Online Power Monitoring of FPGA IP Based on Machine Learning. - Majdi Richa; Jean-Christophe Prévotet; Mickaël Dardaillon; Mohamad Mroué; Abed Ellatif Samhat (DASIP, 2023)

High-level power estimation techniques in embedded systems hardware: an overview. - Majdi Richa; Jean-Christophe Prévotet; Mickaël Dardaillon; Mohamad Mroué; Abed Ellatif Samhat (J. Supercomput., 2023)

A Highly Configurable Platform for Advanced PPG Analysis. - Flavie Durand de Gevigney; Julien Heulot; Eric Bazin; Jean-François Nezan; Mickaël Dardaillon; Slaheddine Aridhi (DASIP, 2024)

Wordlength Optimization for Custom Floating-Point Systems. - Quentin Milot; Mickaël Dardaillon; Justine Bonnot; Daniel Ménard (DASIP, 2024)

Hybrid Genetic Programming and Deep Reinforcement Learning for Low-Complexity Robot Arm Trajectory Planning. - Quentin Vacher; Nicolas Beuve; Paul Allaire; Thibaut Marty; Mickaël Dardaillon; Karol Desnos (IJCCI, 2024)

Automated Buffer Sizing of Dataflow Applications in a High-level Synthesis Workflow. - Alexandre Honorat; Mickaël Dardaillon; Hugo Miomandre; Jean-François Nezan (ACM Trans. Reconfigurable Technol. Syst., 2024)

Stratified sampling: fast estimation of quantization effects on DNN. - Quentin Milot; Mickaël Dardaillon; Daniel Ménard (DDECS, 2025)

MAPLE: Multi-Action Programs through Linear Evolution for Continuous Multi-Action Reinforcement Learning. - Quentin Vacher; Stephen Kelly; Ali Naqvi; Nicolas Beuve; Tanya Djavaherpour; Mickaël Dardaillon; Karol Desnos (GECCO, 2025)