Publications

Thermics

Mapping global and continental research trends in mixed-mode solar dryers: A bibliometric perspective

As sustainable substitutes for traditional fossil fuel-based agricultural product drying techniques, solar drying technologies have drawn more attention in recent times. A vast and intricate body of knowledge has been produced by the quick expansion…

Kartik Mandavia, Himanshukumar Patel, Pranav Mehta, Vivek Patel, Vipul Shah, Ravishankar Sathyamurthy, David Bassir, Ghanshyam G Tejani

Energy Reports - 2028

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

Proceedings of the International Symposium on Advanced Energy Materials and Next-Generation Storage Technologies

Farhad Shahnia, Siew Chun Low, David Bassir

Engineering Sciences

Camera-Lidar Fusion for Road Detection: A Vision Transformer-Based Study

Autonomous vehicles require accurate road detection for safe navigation, and often fuse Camera and LiDAR sensors to enhance perception capabilities. While previous studies suggested that fusing Camera with LiDAR yields enhanced performance over…

Anthony Sigama, Baohua Guo, James Chakwizira, Tendayi Gondo, David Bassir, Sen Wang, Weifan Gu

Pattern Recognition - 2026

Image Processing

Entity-Aware Evaluation of OCR Systems for Historical Document Transcription

Optical Character Recognition (OCR) is essential for digitizing historical archives, yet standard evaluation metrics such as Character Error Rate (CER) do not necessarily reflect whether meaningful information, such as names, dates, and identifiers,…

Camilo Mariño, Diego Belzarena, Marina Gardella, Ignacio Ramírez, Gregory Randall, Jean-Michel Morel

Mathematics

Dynamic Exploration on Segment-Proposal Graphs for Tubular Centerline Tracking

Optimal curve methods provide a fundamental framework for tubular centerline tracking. Point-wise approaches, such as minimal paths, are theoretically elegant but often suffer from shortcut and short-branch combination problems in complex scenarios…

Chong Di, Jinglin Zhang, Zhenjiang Li, Jean-Marie Mirebeau, Da Chen, Laurent D. Cohen

Numerical Analysis

Computing Smooth Geodesics under Two-Sided Curvature Bounds with Applications to Robotics and Image Analysis

Curvature of planar curves serves as a key regularization term for computing second-order minimal paths, due to its tight relevance to desirable geometric properties such as smoothness, rigidity, and elasticity. In this paper, we tackle a more…

Da Chen, Zhenjiang Li, Jean-Marie Mirebeau, Xuecheng Tai, Jinglin Zhang, Wei Zhang, Laurent D. Cohen

Statistics

Diffusion Flow Matching: Dimension-Improved KL Bounds and Wasserstein Guarantees

Diffusion Flow Matching (DFM) has recently emerged as a versatile framework for generative modeling, yet its theoretical convergence properties remain only partially understood. In this work, we provide refined and novel convergence guarantees for…

Marta Gentiloni Silveri, Giovanni Conforti, Alain Durmus

International Conference on Machine Learning - 2026

Machine Learning

Structured Representation Learning for Behavior Cloning: How can we learn to safely control a nuclear power plant?

Learned models for industrial control are usually judged by aggregate accuracy, but accuracy at the component level does not guarantee safety once it is embedded in the system it is meant to serve. We study this gap on a behavior-cloning task:…

Perceval Beja-Battais, Alain Grossetête, Nicolas Vayatis

NeurIPS 2026 Workshop AI Foundations for Power Grids - 2026

Neural and Evolutionary Computing

Dual-Form Foundation Model for Online Earth Monitoring

While online Earth monitoring with Satellite Image Time Series (SITS) is essential for tracking rapid anthropogenic changes, existing remote sensing foundation models remain unsuited for streaming SITS. We introduce IRMA, the first foundation model…

Iris Dumeur, Aitor Artola, Jérémy Anger, Gabriele Facciolo