Associate Professor (HDR) at the XLIM Research Institute, University of Limoges, within the Antennas and Signals team.
Junior Member of the Institut Universitaire de France (IUF).
Adjunct assistant professor at the Center for Metamaterials and Integrated Plasmonics, Duke University.
ANR JCJC MetaMorph and Publications provide further details.
Teaching at the Mechanical Engineering Department at the University of Limoges Institute of Technology, covering introductions to electrical engineering, electronics, automation, mechatronics, and programming. See Teaching for course materials.
Within MetaMorph we introduced a bio inspired morphogenetic design framework based on local reaction diffusion rules. Rather than optimizing a global cost function, we let structures grow and self organize to meet global electromagnetic targets in radiation, frequency, and polarization. We added a spatially varying anisotropic diffusion tensor that controls orientation, spacing, and connectivity. This extra control enables polarization aware metasurfaces such as CP beams and polarization multiplexed holography. Because constraints act locally, the approach scales to large apertures, shows robustness to fabrication and disorder, and naturally produces correlated disordered or hyperuniform media for freeform waveguiding.
I teach at the Mechanical Engineering Department of the University of Limoges Institute of Technology. My courses focus on the introduction to electrical engineering, electronics, automation, and programming for undergraduate students.
Published in Nature Communications (2026) with Philippe Michaud and Vincent Pateloup (IRCER) and Ali Hassny (IUT du Limousin), supported by LabEx Sigma-Lim, this work extends morphogenetic design from electromagnetics to the mechanics of continuous media. Building on the generative model I developed for tensor control in EM, the same local-growth principle has been reformulated for fourth-order mechanical tensors: once the mechanical target is defined, the architecture grows autonomously to meet it, without iterative optimisation.
The first result is a mechanical invisibility cloak. Its design required new spatial-transformation formulations adapted to fourth-order elasticity tensors. A porous architecture is grown to cancel displacements around a central cavity under arbitrary mechanical loading, and experimental validation sets a new benchmark for simulation-to-experiment agreement on this class of problem. The second approach uses the stress field of a loaded structure as the sole input to seed growth and reduce the strain energy of the final design, with no optimisation loop and straightforward application to diverse geometries and loading configurations.
I have been nominated to the Institut Universitaire de France (IUF) as a Junior Chair (Fundamental). The IUF is a French national institution that recognizes outstanding academics and supports their research activities.
This chair provides a reduced teaching load over six years and dedicated financial support to strengthen my research program.
Call for Papers:
Special Issue on advances at the intersection of electromagnetics, computational imaging, and intelligent metasurfaces. The issue welcomes contributions spanning novel sensing modalities, physics-informed learning, and hardware-efficient architectures.
Lead by a promising young researcher:
Dr. Mengran Zhao, Queen’s University Belfast
A short outreach video produced by Curieux! presents our ANR JCJC MetaMorph research and how morphogenetic rules shape electromagnetic components.
You can find information about a special issue for which I am the guest editor at MDPI Remote Sensing here:
Note: Following exposure to a series of malpractices attributable to predatory journals, I decided in 2022 to sever all ties with MDPI, both as a guest editor and as an author.
We are organizing with Okan Yurduseven a 4h short course on computational imaging as part of the International Conference European Microwave Week 2019:
Course materials are available here:
- Conventional 2D SIMO imaging
I had fun learning to code javascript (p5.js) and processing animations thanks to Daniel Shiffman's excellent tutorials. These projects are mainly based on the representation of particles moving in vector fields defined using Perlin noise.
You can click on the following images and animations to run the corresponding script in your browser. Some of them simulate several hundred particules so they can be quite computationnaly intensive and may take a few seconds to run. Being based on random generations, each execution sould lead to different results.
If you have any questions or requests for information, please do not hesitate to contact me:
