Publications

• Article dans une revue

Neural Architecture Search and Automatic Code Optimization: Techniques, trends, and challenges

Inas Bachiri, Smaïl Niar, Riyadh Baghdadi, Hamza Ouarnoughi

Journal of Systems Architecture, 2026, 171, pp.103645. ⟨10.1016/j.sysarc.2025.103645⟩. ⟨hal-05661264⟩

• Article dans une revue

Enhancing the PI Distribution Network Performance with Hybrid ML Forecasting Techniques Applied to a Case Study of Electronic Products in Thailand

Anirut Kantasa-Ard, Maroua Nouiri

The consumption rate of different products such as electronic devices has drastically increased since the onset of COVID-19 in 2020. This shift in behavior has significantly impacted on the efficiency performance of supply chain in many countries. Using Physical Internet (PI) paradigm as an open…

ECTI-CIT Transactions on Computer and Information Technology, 2026, 20 (1), pp.156-173. ⟨10.37936/ecti-cit.2026201.263669⟩. ⟨hal-05599261⟩

• Article dans une revue

Optimization of explicit RKN schemes to minimize spurious reflections from shock wave propagation on non-uniform grids

Emmanuel Creusé, Mamadou N'Diaye, Juliette Venel, Cédric Hubert, Nicolas Leconte

The propagation of shock waves on non-uniform grids appears, for example, in some impact problems of the fast dynamics type, where a finer mesh can typically be employed in regions of interest, leading to mesh ratios that can range from 10 to 20 or even more. Unfortunately, unwanted spurious…

International Journal for Numerical Methods in Engineering, 2026, 127 (1). ⟨hal-05144415v2⟩

• Article dans une revue

A hybrid memetic metaheuristic for medical staff assignment in major public health emergencies

Yang Wang, He Zheng, Zequn Wei, Christophe Wilbaut, Saïd Hanafi

During major public health emergencies, effective assignment of medical staff is crucial for saving lives and controlling the spread of epidemics. This work focuses on the assignment of doctors and nurses to hospitals to form treatment groups that carry out patient treatment tasks. We consider the…

Computers and Operations Research, 2026, 185, pp.107256. ⟨10.1016/j.cor.2025.107256⟩. ⟨hal-05243676⟩

• Article dans une revue

A Survey of Cross-Domain Robotics: Classification, Perception, Planning and Control

Chenfei Hou, Henglai Wei, Hui Zhang, Anh-Tu Nguyen, Makoto Iwasaki

Cross-domain robots (CDRs) represent a distinct category within multimodal robotics, characterized by their ability to operate across diverse domains and environments. These robots strike a balance between the simplicity and energy efficiency of single-domain robots (SDRs), as well as the…

IEEE/ASME Transactions on Mechatronics, In press, ⟨10.1109/TMECH.2026.3675045⟩. ⟨hal-05614952⟩

• Article dans une revue

Modeling and optimization of a tangential photocatalytic reactor for uniform distribution of pollutant-laden air on the reactive area

I. Abattouy, A. Meslem, M. Mahdaoui, M. Ahachad, C. Guillard, F. Dappozze, T. Randrianasolo, L. Peruchon, C. Brochier, L. Lamaa

Photocatalysis has shown significant promise due to its ability to chemically degrade volatile organic compounds (VOCs) using TiO₂ and UV irradiation. However, the efficiency of chemical degradation in photocatalytic reactors is often limited by a poor distribution of airflow in the vicinity of the…

Chemical Engineering Journal, 2026, pp.174695. ⟨10.1016/j.cej.2026.174695⟩. ⟨hal-05536155⟩

• Article dans une revue

Grades of Operational and Tactical Automation in rail domain for an Artificial Intelligence Driving Assistance System

Jean-Valentin Merlevede, Simon Enjalbert, Frédéric Vanderhaegen

This work proposes new additional levels of progressive driver assistance, extending the traditional Grades Of Automation (GoA) in order to allow both dedicated Operational and Tactical assistances. The second contribution is an Artificial Intelligence Driving Assistance System (AIDAS) that aims to…

Cognition, Technology and Work, 2025, ⟨10.1007/s10111-025-00847-0⟩. ⟨hal-05394649v2⟩

• Article dans une revue

Determining Relevant 3D Roughness Parameters for Sandblasted Surfaces: A Methodological Approach

Maxence Bigerelle, Eddy Chevallier, Julie Lemesle, Raphael Deltombe, Frederic Robache, Romain Vayron, Nadiia Zubchuk, Ingrid Proriol Serre, Stephane Benayoun, Karine Anselme

This study presents a robust methodology for analyzing 3D roughness parameters to characterize sandblasted surfaces, identifying the most relevant descriptors for process optimization. Sandblasting with irregularly shaped corundum particles is performed using five grit sizes (25, 50, 90, 125, and…

Machines, 2025, Machines, 13 (12), pp.1122. ⟨10.3390/machines13121122⟩. ⟨hal-05406231⟩

• Article dans une revue

Biomechanical finite element simulation of the pelvic organs under dynamic loading and validation against experimental data from magnetic resonance imaging

Camille Lafond, Louise Hohnadel, Thomas Brunel, Nicolas Pirrò, Marc-Emmanuel Bellemare, Dominique Chamoret, Sébastien Roth

Pelvic organ prolapse (POP) is a prevalent condition affecting women, particularly those over the age of 50. The etiology and pathophysiology of this condition remain poorly understood within the medical community. In recent years, researchers, particularly medical engineers and biomechanical…

Medical Engineering & Physics, 2025, 146, pp.104433. ⟨10.1016/j.medengphy.2025.104433⟩. ⟨hal-05362410⟩

• 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⟩