Publications

• Article dans une revue

Non-linear elastic-plastic behavior of the invert glass lithium phosphorous oxynitride (LiPON)

S. Kalnaus, A.S. Westover, G.M. Veith, K.D. Owensby, Wan-Yu Tsai, T. Egami

Micro and nano-scale mechanical behavior of network/ionic glasses is dictated by their composition and the number of constraints per structural unit. From this perspective, the glass LiPON presents the opportunity for enhancement of the microscale ductility due to its rather unconstrained…

Journal of Non-Crystalline Solids, 2025, 669, pp.123793. ⟨10.1016/j.jnoncrysol.2025.123793⟩. ⟨hal-05393613⟩

• Article dans une revue

A comprehensive review of facial beauty prediction using deep learning techniques

Djamel Eddine Boukhari, Fadi Dornaika, Ali Chemsa, Abdelmalik Taleb-Ahmed

<div xmlns="http://www.tei-c.org/ns/1.0"><p>Facial beauty prediction (FBP) is an emerging area of artificial intelligence (AI) that focuses on the development of models that analyze facial features to assess beauty, based on human perception. This task is particularly…

Engineering Applications of Artificial Intelligence, 2025, 161, ⟨10.1016/j.engappai.2025.112009⟩. ⟨hal-05393552⟩

• N°spécial de revue/special issue

The Structure of the Newton Geneva Edition ([1739-1742] 1822), Special Issue

Raffaele Pisano, Paolo Bussotti, Elisa Belotti

Foundations of Science, pp.1-28, 2025, Special Issue. Newton's Principia & Newtonian Mechanics: Foundations, Heritage, Methodology, Editions, Popularization and Nature of Science Teaching, ⟨10.1007/s10699-025-10007-2⟩. ⟨hal-05029955⟩

• Article dans une revue

Machine learning and deep learning applications in the automotive manufacturing industry: A systematic literature review and industry insights

Soufiane Douimia, Abdelghani Bekrar, Abdessamad Ait El Cadi, Yassin El Hillali, David Fillon

In the context of the automotive manufacturing industry, complexity and the extensive data generated during production pose significant challenges. With ongoing technological advancements, effectively harnessing and analyzing this data has become increasingly critical. Machine learning (ML) and…

Robotics and Computer-Integrated Manufacturing, 2025, 96, pp.103034. ⟨10.1016/j.rcim.2025.103034⟩. ⟨hal-05101225⟩

• Article dans une revue

Impact of cavity shape on thermal accelerometer parameters

Valentin Toulme, Soukaina Ben Salk, Marc Faucher, Philippe Combette, Alain Giani

Micro and Nano Engineering, 2025, 29, pp.100331. ⟨10.1016/j.mne.2025.100331⟩. ⟨hal-05438065⟩

• Article dans une revue

Recent advances in 2D nanomaterial-based peroxidase-mimicking nanocomposites for sensing of water pollutants

Priyakshree Borthakur, Gitashree Darabdhara, Pulakesh Borah, Sabine Szunerits, Rabah Boukherroub, Manash Das

The discovery of peroxidase-like activity of Fe3O4 nanoparticles in 2007 had opened up new possibilities for development of nanomaterials with natural enzyme-like activities called nanozymes. Till now, various types of nanozymes consisting of metal oxides, metal nanoparticles, carbon-based…

Journal of Environmental Chemical Engineering, 2025, 13 (6), pp.119036. ⟨10.1016/j.jece.2025.119036⟩. ⟨hal-05393498⟩

• Thèse

Epitaxial growth and near-field characterization of InSb nanostructures for advanced electron devices, Croissance epitaxiale et caracterisation champ-proche de nanostructures InSb pour composants electroniques avances

Clément Barbot

At the dawn of the quantum era, which promises radically new ways of processing information, III-V semiconductors — and InSb in particular — stand out as one of the most promising material for this transition. With high electron mobility, strong spin-orbit interaction, and small effective mass,…, À l’aube de l’ère quantique, qui promet des modes de traitement de l’information radicalement nouveaux, les semi-conducteurs III-V — et en particulier l’antimoniure d’indium (InSb) — apparaissent comme des materiaux prometteurs pour contribuer à cette transition. Grâce à sa mobilité électronique…

Physics [physics]. Université de Lille, 2025. English. ⟨NNT : ⟩. ⟨tel-05382109⟩

• Article dans une revue

Emerging technologies for in-field plant virus detection: innovations and future directions

Subhankar Sahu, Rabah Boukherroub, Christophe Ritzenthaler, Sabine Szunerits

Plant virus infections pose a substantial threat to crop quality and productivity, contributing to considerable economic losses in global agriculture annually. Traditionally, laboratories have widely adopted serological techniques, such as ELISA, and molecular methods, including quantitative PCR,…

Journal of General Virology, 2025, 106 (11), ⟨10.1099/jgv.0.002182⟩. ⟨hal-05411851⟩

• Article dans une revue

Electrochemical Additive Manufacturing to Electropolymerize Devices on a Chip

Paul Moustiez, David Guérin, Sébastien Pecqueur

<div><p>Fabricating electronic devices spoiling the least resources is of an increasingly high importance. Also, micro-electronics hardly embeds chemical functionalities on silicon, as soft materials suffer from harsh conditions of conventional processes. In this study, electrochemistry…

ECS Sensors Plus, 2025, 4 (4), pp.044401. ⟨10.1149/2754-2726/ae20a2⟩. ⟨hal-05253567⟩

• Communication dans un congrès

ECHO: An Explainable Cooperative Highway Operator for Human-Centric ADAS

moad dehbi, Mohamed Amine BOUZAIDI TIALI, Yassin El Hillali, Atika Rivenq, Marwane Ayaida

ECHO is a next-generation advanced driverassistance system (ADAS) that integrates multi-modal perception, cooperative V2X communication, and an agentic large language model (LLM) for explainable, human-centric support. Unlike traditional ADAS, ECHO does not directly control the vehicle but…

2025 12th International Conference on Wireless Networks and Mobile Communications (WINCOM), Nov 2025, Riyadh, Saudi Arabia. pp.1-7, ⟨10.1109/WINCOM65874.2025.11313404⟩. ⟨hal-05498206⟩