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

Complex dynamics of a fractional-order epidemic system integrating with fractional-order optimal control and PRCC analysis

Kulamani Sahoo, Snehasis Barman, Anup Kumar Barman, Tapan Kumar Kar, Sarada Mohapatra, David Bassir, Ghanshyam Tejani

Results in Control and Optimization - 2026

Signal and Image processing

LuxNox Dataset: Evaluating Source Camera Identification Beyond PRNU

Source camera identification is the process of matching an image to the individual camera device that acquired it. This problem can be solved using the Photo Response Non-Uniformity (PRNU) signal, widely recognised as a camera fingerprint. Recently,…

Julieta Umpierrez, Marina Gardella, J. Matias Di Martino, Diego Vidart, Ernesto Musitelli, Mauricio Musitelli, Pablo Musé, Rafael Grompone von Gioi

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