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

Computer Science

Generalized Dirichlet Energy and Graph Laplacians for Clustering Directed and Undirected Graphs

Clustering in directed graphs remains a fundamental challenge due to the asymmetry in edge connectivity, which limits the applicability of classical spectral methods originally designed for undirected graphs. A common workaround is to symmetrize the…

Harry Sevi, Gwendal Debaussart-Joniec, Malik Hacini, Matthieu Jonckheere, Argyris Kalogeratos

Transactions on Machine Learning Research - 2026

Computer Science

Parametrized Power-Iteration Clustering for Directed Graphs

Gwendal Debaussart-Joniec, Harry Sevi, Matthieu Jonckheere, Argyris Kalogeratos

Proceedings of the 41st International Conference on Machine Learning (ICML), PMLR - 2026

Optimization and Control

Accelerating Nonlinear MPC by Behavior Cloning with Separated Timescales: Application to Nuclear Reactor Load-Following

Behavior Cloning (BC) of expert controllers for multiscale dynamical systems is challenging: state variables evolving at widely separated timescales induce highly nonlinear couplings that a shared latent space may fail to adequately represent,…

Perceval Beja-Battais, Alain Grossetête, Nicolas Vayatis

Machine Learning

A goodness of fit approach to select the optimal visit sequence for nonparametric data synthesis

Synthetic data are a promising way to maintain privacy while disseminating research data, thereby enabling compliance with the open science principles. Popular methods for generating synthetic data include sequential synthesis, where each variable…

Rémy Chapelle, Bruno Falissard, Mohammed Sedki

Engineering Sciences

Cement Structures Crack Database Methods Acquisition and Preparation: A Review

Human-built infrastructure must be monitored to ensure the safety of its users. Therefore, Structural Health Monitoring (SHM) of concrete structures such as bridges, dams and tunnels is increasingly being carried out, by using automated methods…

Ata Jahangir Moshayedi, Quoc Nguyen, David Bassir

10th International Conference on Civil Construction and Structural Engineering - 2026

Machine Learning

Sequential versus fully conditional specification for tree-based synthesis of health data

Disseminating synthetic data in place of original ones is a promising way to enforce privacy while complying with open science principles, especially in the healthcare domain. To keep pace with the rate at which researchers collect such data, there…

Rémy Chapelle, Mohammed Sedki

Machine Learning

Nonparametric autoregressive estimation of probability distributions with parallel gradient boosting

Nonparametric estimation of joint probability distributions is a core problem in statistics, which is notoriously challenging with high-dimensional data. Such challenges also arise with conditional distribution estimation and have led to flexible…

Rémy Chapelle

Microelectronics

Strengthening optical and photonic metrology through robust uncertainty evaluation and international intercomparisons

Advances in optical and photonic technologies continue to redefine the limits of precision in dimensional metrology, enabling ultra-sensitive measurements in spectroscopy, frequency metrology, and nanoscale characterization. As measurement systems…

Patrice Salzenstein, Thomas Y Wu, David Hicham Bassir, Dinghua Yang

SPIE Photonics Europe - 2026