Publications

• Thèse

Caractérisation et modélisation de composants GaN pour la conception de convertisseurs statiques haute fréquence, Characterization and modeling of GaN power devices for high freuency power converters design

Loris Pace

La montée en fréquence de commutation des transistors de puissance à base de Nitrure de Gallium (GaN) présente une avancée technologique conduisant à la réduction de la taille, du poids et du volume des systèmes de conversion de l’énergie. En effet, les propriétés physiques des transistors de type…, The high frequency operation of GaN power transistors is of great interest in order to reduce size, weight and volume of power converters. Indeed, GaN HEMT power transistors show very good physical properties for the development of high frequency power converters. Within the constant rise of the…

Micro et nanotechnologies/Microélectronique. Université de Lille, 2019. Français. ⟨NNT : 2019LILUI078⟩. ⟨tel-03624112⟩

• Poster de conférence

Deep convolutional neural networks for detection and classification of tumors in mammograms

Kadda Djebbar, Malika Mimi, Khadidja Berradja, Abdelmalik Taleb-Ahmed

Automatic detection and classification of the masses in mammograms are still a big challenge and play a crucial role to assist radiologists for accurate diagnosis. In this paper, we propose a novel Computer-Aided Diagnosis (CAD).System based on one of the regional deep learning techniques, a ROI-…

6th International Conference on Image and Signal Processing and their Applications (ISPA 2019), Nov 2019, Mostaganem, Algeria. IEEE, pp.1-7, ⟨10.1109/ISPA48434.2019.8966895⟩. ⟨hal-03573002⟩

• Communication dans un congrès

Staistical features extraction in wavelet domain for texture classification

Soraya Zehani, Abdeldjalil Ouahabi, Malika Mimi, Abdelmalik Taleb-Ahmed

This paper presents a new approach for texture classification generalizing a well-known statistical features combining the fractal analysis by means of fractal dimension (FD) with the selection first and second order statistics features in the spatial and wavelet domain. The objective of our paper…

6th International Conference on Image and Signal Processing and their Applications (ISPA 2019), Nov 2019, Mostaganem, Algeria. pp.1-5, ⟨10.1109/ISPA48434.2019.8966865⟩. ⟨hal-03572493⟩

• Thèse

Croissance sélective et caractérisation de nanostructures de matériaux III-V élaborées par épitaxie par jets moléculaires, Selective area molecular beam epitaxy and characterization of III-V nanostructures

Alexandre Bucamp

Que ce soit pour la fabrication de transistors ultimes fonctionnant à haute fréquence et faible consommation d’énergie ou pour celle de composants quantiques exploitant le transport balistique d’électrons, l’élaboration de nanostructures de semiconducteurs III-V à faible masse effective…, The fabrication of nanoscale devices such as high frequency and low energy consumption transistors or quantum devices exploiting ballistic electrons transport requires the development of nanostructures with low effective mass III-V materials. Several technologies exist to reach typical dimensions…

Micro et nanotechnologies/Microélectronique. Université de Lille, 2019. Français. ⟨NNT : 2019LILUI067⟩. ⟨tel-03621975⟩

• Pré-publication, Document de travail

Iuliacumite: a novel two-dimensional chemical short range order in a wurtzite single monolayer InAs 1-x Sb x shell on InAs nanowires

Michael Schnedler, Tao Xu, Isabelle Lefebvre, Jean-Philippe Nys, S.R. Plissard, Philippe Caroff, Maxime Berthe, Holger Eisele, Rafal E Dunin-Borkowski, Philipp Ebert, B. Grandidier

A chemical short range order is found in single monolayer InAs1-xSbx shells, which inherit a wurtzite structure from the underlying InAs nanowire, instead of crystallizing in the energetically preferred zincblende structure. The chemical order is characterized by an ordering vector in [0001] and an…

2019. ⟨hal-02376359⟩

• Poster de conférence

Diptera-inspired vibrating-wing nano drone

Mathieu Colin, Damien Faux, Eric Cattan, Sébastien Grondel, Olivier Thomas

2nd International Workshop «Insect Bio-inspired Microtechnology», Nov 2019, Grenoble, France. . ⟨hal-03590676⟩

• Communication dans un congrès

Hearing the shape of a chemical reactor with a deep network of swarms

Nicolas Lobato-Dauzier, Leo Cazenille, Nathanaël Aubert-Kato, Alexis Vlandas, Teruo Fujii, Anthony J Genot

Biological swarms-from the simplest bacteria to large populations-compute the solution of geometrical problems for their growth and survival. In order to engineer synthetic swarms, it is of interest to understand how biological swarms relate space and time to sense their geometry. Here we propose a…

SWARM 2019: The 3rd International Symposium on Swarm Behavior and Bio-Inspired Robotics, Nov 2019, Okinawa, Japan. ⟨hal-02406947⟩

• Article dans une revue

Functional carbon quantum dots as medical countermeasures to human coronavirus (HCoV)

Aleksandra Loczechin, Karin Séron, Alexandre Barras, Emerson Giovanelli, Sandrine Belouzard, Yen-Ting Chen, Nils Metzler-Nolte, Rabah Boukherroub, Jean Dubuisson, Sabine Szunerits

Therapeutic options for the highly pathogenic human coronavirus (HCoV) infections are urgently needed. Anti-coronavirus therapy is however challenging, as coronaviruses are biologically diverse and rapidly mutating. In this work, the antiviral activity of seven different carbon quantum dots (CQDs)…

ACS Applied Materials & Interfaces, 2019, 11 (46), pp.42964-42974. ⟨10.1021/acsami.9b15032⟩. ⟨hal-02328361⟩

• Communication dans un congrès

An Improved Multispectral Palmprint System Using Deep CNN-based Palm-Features

Selma Trabelsi, Djamel Samai, Abdallah Meraoumia, Khaled Bensid, Abdelmalik Taleb-Ahmed

Due to security imperatives, biometrics has attracted a lot of attention in recent decades. Biometric recognition refers to the identification of individuals based on their physiological and/or behavioral traits. Among the various physiological traits, the palmprint modality, which contains rich…

International Conference on Advanced Electrical Engineering (ICAEE 2019), Nov 2019, Algiers, Algeria. pp.1-6, ⟨10.1109/ICAEE47123.2019.9015074⟩. ⟨hal-03572090⟩

• Communication dans un congrès

Deep Learning based Detection of Hair Loss Levels from Facial Images

Halim Benhabiles, Karim Hammoudi, Ziheng Yang, Feryal Windal, Mahmoud Melkemi, Fadi Dornaika, Ignacio Arganda-Carreras

Hair loss is a phenomenon known to affect people's morale and self-confidence. Often, the awareness of the phenomenon and the possibilities of treatment is late. This paper investigates deep learning methods for detecting hairs loss levels by men from face images. In this context, a specific…

2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA), Nov 2019, Istanbul, Turkey. ⟨10.1109/IPTA.2019.8936122⟩. ⟨hal-04054698⟩