activity
20202025
most citedReconfigurable Intelligent Surfaces for Rich Scattering Wireless Communications: Recent Experiments, Challenges, and Opportunities

181 citations · 305 across the 9 of their papers we have counts for

collaborators

9 papers

physics.optics2025

Coherent Control of Wave Scattering via Minimal-Parameter Tuning of Complex Spectra

Ali H. Alhulaymi, Nazar Pyvovar, Philipp del Hougne +2

We introduce and validate a theoretical framework for coherent control of multichannel linear scattering to route waves through complex geometries with multiple scattering. We show…

physics.optics2025★ 17 cited

Programmable metasurfaces for future photonic artificial intelligence

Loubnan Abou-Hamdan, Emil Marinov, Peter Wiecha +3

Photonic neural networks (PNNs), which share the inherent benefits of photonic systems, such as high parallelism and low power consumption, could challenge traditional digital neur…

eess.SP2024★ 3 cited

A physics-compliant diagonal representation for wireless channels parametrized by beyond-diagonal reconfigurable intelligent surfaces

Philipp del Hougne

The parametrization of wireless channels by so-called "beyond-diagonal reconfigurable intelligent surfaces" (BD-RIS) is mathematically characterized by a matrix whose off-diagonal…

physics.app-ph2024★ 10 cited

Virtual VNA 2.0: Ambiguity-Free Scattering Matrix Estimation by Terminating Not-Directly-Accessible Ports with Tunable and Coupled Loads

Philipp del Hougne

We recently introduced the "Virtual VNA" concept which estimates the scattering matrix characterizing an arbitrarily complex linear reciprocal system with monomoda…

physics.app-ph2024

Agile Free-Form Signal Filtering with a Chaotic-Cavity-Backed Non-Local Programmable Metasurface

Fabian T. Faul, Laurent Cronier, Ali Alhulaymi +2

Filter synthesis is an inverse problem that is traditionally approached rationally by considering spatially disjoint resonators, approximating them as lumped elements, and engineer…

physics.app-ph2024★ 4 cited

Training of Physical Neural Networks

Ali Momeni, Babak Rahmani, Benjamin Scellier +25

Physical neural networks (PNNs) are a class of neural-like networks that leverage the properties of physical systems to perform computation. While PNNs are so far a niche research…

cs.IT2021★ 181 cited

Reconfigurable Intelligent Surfaces for Rich Scattering Wireless Communications: Recent Experiments, Challenges, and Opportunities

George C. Alexandropoulos, Nir Shlezinger, Philipp del Hougne

Recent advances in the fabrication and experimentation of Reconfigurable Intelligent Surfaces (RISs) have motivated the concept of the smart radio environment, according to which t…

physics.app-ph2021★ 78 cited

Deeply Sub-Wavelength Localization with Reverberation-Coded-Aperture

Michael del Hougne, Sylvain Gigan, Philipp del Hougne

Accessing sub-wavelength information about a scene from the far-field without invasive near-field manipulations is a fundamental challenge in wave engineering. Yet it is well under…

physics.app-ph2020★ 12 cited

Implementing Non-Universal Features with a Random Matrix Theory Approach: Application to Space-to-Configuration Multiplexing

Philipp del Hougne, Dmitry V. Savin, Olivier Legrand +1

We consider the efficiency of multiplexing spatially encoded information across random configurations of a metasurface-programmable chaotic cavity in the microwave domain. The dist…