Research - Xlim Research Institute

I work at Xlim Research Institute in the Antennas and Signals team on computational radar imaging applications in the microwave, millimeter and opto-microwave domains.

ComputationalImaging

I am an adjunct assistant professor at the Center for Metamaterials and Integrated Plasmonics, at Duke University.

My research is conducted in collaboration with researchers in the framework of past and ongoing projects (non-exhaustive list):

Publications

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Teaching

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.

Course 1 Course 2 Course 3 Course 4 Course 5

ANR MetaMorph Project

The MetaMorph project (Morphogenetic Generation of Electromagnetic Components) is a scientific project funded by the French National Research Agency (ANR) under the Young Researchers (JCJC) program.

ANR Funding: 215,240 euros

Project Duration: 42 months (October 2021 - March 2025)

Objectives

  • Develop a bio-inspired procedural generation technique for electromagnetic components
  • Ensure the procedural synthesis of optimized radiating metasurfaces for:
    • The realization of multiple point-to-point links constrained in polarization
    • Computational imaging activities
  • Enable the procedural synthesis of functionalized materials for:
    • The design of freeform waveguides
    • The generation of anisotropy properties under constraints
  • Carry out proof of concept in K and W bands to demonstrate the diversity of potentially impacted domains

Team

  • Thomas Fromentèze - Project Leader - Associate Professor
  • Cyril Decroze - Full Professor
  • Fadhila Chehami - PhD Student
  • Chidinma Uche - PhD Student
  • Raymundo de Amorim - Postdoctoral Researcher

Results

Metasurfaces

  • Development of morphogenetic metasurfaces based on Turing patterns

    Fromenteze, T., Yurduseven, O., Uche, C., Arnaud, E., Smith, D. R., & Decroze, C. (2023). Morphogenetic metasurfaces: unlocking the potential of turing patterns. Nature Communications, 14(1).

    This study presents a new technique for generating metasurfaces inspired by Turing patterns. It enables the automated synthesis of complex electromagnetic structures capable of controlled interactions with incident waves.

  • Design of metasurfaces for secure identification

    Amorim, R., Marie-Joseph, Y., Decroze, C., & Fromenteze, T. (2024). Morphogenetic Metasurface Antennas for Secure Identification. IEEE Antennas and Wireless Propagation Letters, 1-5.

    This research explores the use of morphogenetic metasurfaces to create antennas capable of securely identifying devices. It demonstrates the potential of these structures to improve the security of wireless communications.

  • Synthesis of multi-polarization metasurfaces

    Fromenteze, T., Yurduseven, O., Arnaud, E., Smith, D. R., & Decroze, C. (2023). Morphogenetic engineering of radiating metasurfaces. International Conference on Metamaterials, Photonic Crystals and Plasmonics, 1591-1592.

    This study presents a morphogenetic engineering technique for designing radiating metasurfaces. It highlights the ability of this approach to generate structures capable of controlling the polarization of electromagnetic waves in a complex manner.

  • Realization of near-field holograms with polarization multiplexing

    Uche, C.N., Decroze, C., Parsaei, N., & Fromenteze, T. (2024). Investigating Striking Efficiency in Morphogenetic Metasurface Antennas with Low Modulation. European Microwave Week 2024.

    This research examines the efficiency of low modulation morphogenetic metasurface antennas. It reveals performances superior to established limits, particularly in the creation of near-field holograms with precise polarization control.

Structure Generation and Propagation Regime Control

  • Morphogenetic design of correlated disordered media

    Chehami, F., Decroze, C., Pasquet, T., Perrin, E., & Fromenteze, T. (2023). Morphogenetic Design of Self-Organized Correlated Disordered Electromagnetic Media. ACS Photonics, 10(6), 1890-1898.

    This study introduces a new method for designing correlated disordered electromagnetic media based on morphogenetic principles. It demonstrates how these self-organized structures can be used to control wave propagation in novel ways.

  • Band gap engineering in disordered structures

    Chehami, F., Decroze, C., & Fromenteze, T. (2023). Morphogenetic Design for Band Gap Engineering. 17th European Conference on Antennas and Propagation, EuCAP 2023.

    This research applies morphogenetic design principles to band gap engineering in disordered structures. It shows how this approach allows the creation of materials with customized wave propagation properties.

  • Control of anisotropy in generated metasurfaces

    Amorim, R., Decroze, C., & Fromenteze, T. (2023). Morphogenetic Metasurface Engineering for Computational Localization Applications. IEEE Conference on Antenna Measurements and Applications, CAMA, 631-635.

    This study explores the use of morphogenetic metasurfaces for computational localization applications. It highlights how precise control of anisotropy in these structures can improve localization performance.

Miscellaneous

2020 : Special Issue "Modern Advances in Electromagnetic Imaging and Remote Sensing: Enabling Hardware, Computational Techniques, and Machine Learning"

You can find information about a special issue for which I am the guest editor at MDPI Remote Sensing here:

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EuMW EURAD Short Course 2019

We are organizing with Okan Yurduseven a 4h short course on computational imaging as part of the International Conference European Microwave Week 2019:

Modern Advances in Computational Imaging at Microwave and Millimeter-Wave Frequencies

Comput AnimEumw

Course materials are available here:

1. General Introduction to Microwave and Millimeterwave Computational Imaging; Formalisms, Systems and Image Reconstruction

- Powerpoint

- Pdf

2. New advances in computational imaging: Polarimetric imaging, phaseless imaging, and recent advances in antenna systems and k-space reconstruction techniques

- Powerpoint

- Pdf

Matlab codes to reproduce a fraction of the illustrative examples

- Conventional 2D SIMO imaging

- Computational 2D SIMO imaging

- Fourier 2D SIMO imaging

p5.js

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.

Goldfish Perlin1 Perlin2 Perlin3 Gravity

Contact

If you have any questions or requests for information, please do not hesitate to contact me:

  • E-mail : myfirstname.myfamilyname@unilim.fr
  • Address : CIRE - Bât 2 · 12 rue Gémini · 87068 LIMOGES CEDEX 03