Publications

• Communication dans un congrès

Signals to Spikes for Neuromorphic Regulated Reservoir Computing and EMG Hand Gesture Recognition

N. Garg, I. Balafrej, Y. Beilliard, Dominique Drouin, F. Alibart, J. Rouat

Surface electromyogram (sEMG) signals result from muscle movement and hence they are an ideal candidate for benchmarking event-driven sensing and computing. We propose a simple yet novel approach for optimizing the spike encoding algorithm's hyper-parameters inspired by the readout layer…

2021 International Conference on Neuromorphic Systems (ICONS 2021), Jul 2021, Knoxville, TN, United States. pp.29, ⟨10.1145/3477145.3477267⟩. ⟨hal-03541948⟩

• Communication dans un congrès

Structuration du carbone vitreux : de superhydrophile à superhydrophobe

C. Francolle de Almeida, F. Bellaredj, F. Sarry, D. Beyssen, Yannick Coffinier, Maude Jimenez, V. Fierro, A Celzard

Colloque Francophone du Carbone, 2021, Paris, France. ⟨hal-04455441⟩

• Autre publication scientifique

[Contribution] Artificial intelligence, edge computing and advanced control

Virginie Hoel

Electronic Components and Systems Strategic Research and Innovation Agenda 2021, Section 2.1, ECS-SRIA, 2021, pp.133-178. ⟨hal-03341201⟩

• Communication dans un congrès

Dynamic thermoregulatory photonic crystal fabric for personal thermal management

Mohamed Boutghatin, Yan Pennec, Salim Assaf, Michèle Carette, V. Thomy, Abdellatif Akjouj, Bahram Djafari-Rouhani

Personal thermal management represents a new paradigm to reduce the energy consumption, which consists in controlling the temperature around the human body rather than regulating the temperature of the entire residential space. Recent progress in smart textile showed promising radiative heating and…

2021 IEEE Sensors, Oct 2021, Sydney, Australia. pp.1-4, ⟨10.1109/SENSORS47087.2021.9639828⟩. ⟨hal-03501272⟩

• Ouvrages

Photonics

L. Dobrzynski, Abdellatif Akjouj, El Houssaine El Boudouti, Gaëtan Lévêque, Housni Al Wahsh, Yan Pennec, Cécile Ghouila-Houri, Abdelkrim Talbi, Bahram Djafari-Rouhani, Yabin Jin

Photonics, a volume in the Interface Transmission Tutorial Book series, describes the science of photonic transmission properties of the interfaces of composite materials systems and devices. The book's authors review the general analysis methods of interface transmission, give many examples,…

Edited by Leonard Dobrzyński. Elsevier, pp.1-689, 2021, A volume in interface transmission tutorial book series, 978-0-12-819388-4. ⟨10.1016/C2018-0-05409-2⟩. ⟨hal-03350681⟩

• Communication dans un congrès

Quadratic detection-based millimeter-wave MMIC for wireless communication and localization

Christophe Loyez, Michael Bocquet, Kamel Haddadi

This paper presents a multi-functional topology of a monolithic microwave monolithic integrated circuit (MMIC) capable of performing both wireless communications and geolocation devices. The architecture of this MMIC allows several RF functionalities such as conventional frequency heterodyning for…

2021 International Symposium on Networks, Computers and Communications (ISNCC), Session A10 - Signals and Communication Systems, Oct 2021, Dubai (virtual), United Arab Emirates. pp.1-5, ⟨10.1109/ISNCC52172.2021.9615694⟩. ⟨hal-03457159⟩

• Article dans une revue

ESD mm-wave-circuit protection: 3-dB couplers

Marc Margalef-Rovira, Géraldine Pelletier, Vanessa Avramovic, Sylvie Lepilliet, Johan Bourgeat, Jean-Marc Duchamp, Manuel J. Barragan, Emmanuel Pistono, Sylvain Bourdel, Christophe Gaquière, Philippe Ferrari

This article presents an innovative architecture for the implementation of an electrostatic discharge (ESD) protection for millimeter-wave (mm-wave) devices. The proposed architecture is based on the use of 3-dB couplers, whose coupled outputs have been shorted to the ground node. In order to…

IEEE Transactions on Electron Devices, 2021, 68 (12), pp.5989-5994. ⟨10.1109/TED.2021.3115990⟩. ⟨hal-03371300⟩

• Communication dans un congrès

Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters

R. El-Allami, A. Marchisio, M. Shafique, Ihsen Alouani

Deep Learning (DL) algorithms have gained popularity owing to their practical problem-solving capacity. However, they suffer from a serious integrity threat, i.e., their vulnerability to adversarial attacks. In the quest for DL trustworthiness, recent works claimed the inherent robustness of…

2021 Design, Automation and Test in Europe Conference and Exhibition (DATE 2021), Feb 2021, Grenoble, France. pp.774-779, ⟨10.23919/DATE51398.2021.9473981⟩. ⟨hal-03362270⟩

• Article dans une revue

Bias Tunable Spectral Response of Nanocrystal Array in a Plasmonic Cavity

Tung Huu Dang, Angela Vasanelli, Yanko Todorov, Carlo Sirtori, Yoann Prado, Audrey Chu, Charlie Gréboval, Adrien Khalili, Herve Cruguel, Christophe Delerue, Gregory Vincent, Emmanuel Lhuillier

Nanocrystals (NCs) have gained considerable attention for their broadly tunable absorption from the UV to the THz range. Nevertheless, their optical features suffer from a lack of tunability once integrated into optoelectronic devices. Here, we show that tunable absorption with bias can be obtained…

Nano Letters, 2021, 21 (15), pp.6671-6677. ⟨10.1021/acs.nanolett.1c02193⟩. ⟨hal-03321716⟩

• Brevet

Method for producing a diode

Pascal Chevalier, Alexis Gauthier, Gregory Avenier

United States, Patent n° : US2020411382 (A1) 2020-12-31. 2020, N° de priorité : FR20190007149 20190628. ⟨hal-05639392⟩