Publications

Engineering Sciences

Failure prognostics under sensor degradation: A comparative study of online and batch Bayesian inference

Accurate failure prognostics and Remaining Useful Life (RUL) prediction are critical for prognostics and health management, but remain challenging when sensor degradation and stochastic dependencies are present. This study compares two Bayesian…

Hai-Canh Vu, Mitra Fouladirad, David Bassir, Thao Nguyen-Trang

Reliability Engineering and System Safety - 2027

Engineering Sciences

Smart Agro-ecosystem: A Review of LLM-based Robotic Systems for Sensing and Decision Support in Precision Agriculture

Smart agriculture employs emerging technologies to address main challenges such as greenhouse gases emissions, crop yield optimization, and efficient irrigation through optimized resource planning. This paper reviews Large Language Models (LLMs),…

Ata Jahangir Moshayedi, Amir Sohail Khan, Amin Kolahdooz, Aiman Elragig, Zeashan Khan, David Bassir

EAI Endorsed Transactions on AI and Robotics - 2026

Biophysics

Probing -1 ribosomal frameshifting at the single molecule level

Karen Perronet, Baptiste Bouhet, Charles Truong, Sandra Blanchet, Olivier Namy

ESAB 2026 - 2026

Methodology

AK-MCS-C2 : Active Kriging Monte Carlo Simulation method with conformal certification for failure probability estimation

We introduce a novel active-learning framework for failure probability estimation in structural reliability analysis that integrates Active Kriging Monte Carlo simulation with conformal prediction. The proposed approach employs an adaptive cross…

Edgar Jaber, Vincent Chabridon, Mathilde Mougeot

Machine Learning

Expanding SPHERE-JEPA: A Family of Statistical Regularizers for the Hypersphere

In Self-Supervised Learning (SSL), preventing representation collapse by explicitly enforcing a uniform distribution on the unit hypersphere has proven to be effective. However, current frameworks typically rely on sliced statistical regularizers…

Léo Nicollier, Enric Meinhardt-Llopis, Max Dunitz, Marc Pic, Pablo Musé, Gabriele Facciolo

Neural and Evolutionary Computing

A Traffic Police Gesture Recognition Method Based on BiLSTM-Transformer Architecture

To address the issues of insufficient real-time performance and inadequate modeling of temporal features in traffic police gesture recognition, this paper proposes a method based on skeleton keypoints and hybrid temporal modeling. First, YOLOv11m…

Xiaoyu Zhang, Baohua Guo, Sen Wang, Anthony Sigama, David Bassir

Electronics - 2026

Imaging

A multi-snapshot inversion technique for interferometric Earth observation in the L-band

A computationally tractable multi-snapshot inversion technique for fusing visibilities in the interferometric domain is proposed to denoise and unfold interferometric images, increasing radiometric sensitivity and expanding swath width. Aliasing…

Max Dunitz, Bernard Rougé, Éric Anterrieu, Nemesio Rodríguez-Fernández, Yann Kerr, Jean-Michel Morel, Miguel Colom

Signal and Image processing

ACCELERATED HIGH-RESOLUTION RADIATIVE TRANSFER SIMULATION FOR CO2 CONCENTRATION ESTIMATION FROM NANOCARB MEASUREMENTS

Studying climate change requires reducing uncertainties in CO(_2) and CH(_4) emission estimates to better distinguish anthropogenic from natural sources, which motivates spaceborne measurements with improved revisit frequency and spatial coverage…

Jordan Lontsi Tedongmo, Yann Ferrec, Laurence Croizé, Pablo Musé, Gabriele Facciolo, Andrés Almansa

ICLR 2026 Machine Learning for Remote Sensing (ML4RS) Workshop - 2026

Machine Learning

Scalable multi-view clustering via explicit kernel features maps

The proliferation of high-dimensional data from sources such as social media, sensor networks, and online platforms has created new challenges for clustering algorithms. Multi-view clustering, which integrates complementary information from multiple…

Chakib Fettal, Lazhar Labiod, Mohamed Nadif

Data Mining and Knowledge Discovery - 2026

Mathematics

Genghis Khan Shark Optimizer for multi-objective mechanical truss design

Mechanical structures in engineering are increasingly designed under stringent requirements for low-weight, high-stiffness, and safety, making multi-objective structural optimization central to innovative, cost-effective-products. This work…

Fatima Daqaq, Siham Ouhimmou, David Bassir, Ghanshyam G Tejani

Results in Control and Optimization - 2026