Publications
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A Model Predictive Control Approach To Blending In Shared Control
Shared control aims at assisting human operators using robots in physically and cognitively demanding tasks which cannot be automated as they require human expertise and deliberative abilities. Sharing control for a given task typically involves blending algorithms that combine human control inputs and (pre)planned assistance trajectories. Conventional blending techniques, such as Linear Blending, compute a […]
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Modeling occupant air-conditioning behavior in Mediterranean offices with manual HVAC control: a case study conducted in Montpellier during summer 2025
Occupant behavior related to air conditioning (AC) has a considerable impact on the energy consumption of office buildings, particularly in southern France, which is characterized by a hot Mediterranean climate and frequent heat waves. Although several studies have developed behavioral models using logistic regression, relatively few have examined the application of machine learning methods to […]
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Predictive maintenance in cyber-physical systems: a comprehensive review of applications, approaches, and challenges
The rapid proliferation of predictive maintenance (PdM) techniques has led to a fragmented research landscape, limiting knowledge consolidation and solution reuse across industrial contexts. Motivated by this issue, this study presents a systematic review of PdM approaches for cyber-physical systems, covering data-driven, statistical, stochastic, AI-based, knowledge-based, and hybrid methodologies. In the context of Industry 4.0 […]
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Analytical solution of the Langmuir model for moisture diffusion in cylindrical coordinates
Moisture diffusion in polymer composites and bio-based materials frequently exhibits non-Fickian behaviors, such as delayed saturation or two-stage sorption kinetics. While the Langmuir model accurately captures these phenomena by accounting for the dynamic trapping of mobile water molecules, exact analytical solutions have historically been restricted to planar geometries. In this study, the coupled partial differential […]
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Enhanced Energy Delivery in Electric Vehicle Charging Scheduling via Metaheuristic Approaches
Electric vehicle (EV) adoption is rapidly increasing, intensifying pressure on existing charging infrastructures and making the allocation of limited station capacity a critical scheduling problem. In the EV charging scheduling problem, heuristic and hybrid metaheuristic approaches aim to minimize non-delivered energy using discrete-time formulations where each vehicle-charger pair occupies an integer number of time slots. […]
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Valuable Interactions, Valuable Recommendations: A New Approach for Integrating General User Preferences in Session-Based Recommender Systems
The advent of session-based recommender systems (SBRS) has tremendously contributed to giving recommendations to users without considering their historical data. These systems operate by recommending items based solely on the clicks (i.e., user-item interaction) within the particular session at hand, which represent short-term user preferences. Still, researchers have also attempted to integrate long-term user preferences […]
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Agir avec son corps pour qu’il « se passe quelque chose » chez autrui : mettre en mots l’activité corporelle pour mieux la définir dans le cadre de recherches avec
En appui sur des données à caractère exploratoire recueillies à l’occasion de deux dispositifs de formation réalisés auprès de professionnelles d’un LAEP et de formateurs en psychomotricité, cette contribution se propose de comprendre dans quelle mesure la mise en mots des dimensions corporelles de l’activité permet aux professionnels d’en définir les contours. Le texte présente […]
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A comprehensive framework for modeling building occupancy: technologies, methods, and research challenges
Occupancy information is a key element for improving building energy performance and occupant comfort through occupancy-centric control strategies. However, the rapid development of occupancy-related research over the past years has led to fragmented terminology and heterogeneous analytical perspectives, which complicate consistent comparison and interpretation of results. To address this issue, this paper proposes an analytical […]
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Explainable Remaining Useful Life Prediction Using Interpretable Divisive Feature Clustering
Accurate prediction of remaining useful life (RUL) is critical for effective predictive maintenance. While models like long short-term memory (LSTM) are effective, they often lack interpretability, even when using explainable artificial intelligence (XAI) methods such as shapley additive explanations (SHAP). This is particularly true when these models are trained on high-dimensional, redundant features. To tackle […]
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Sustainable reuse of excavated soils stabilized with fly ash and slag based geopolymers for backfill applications
A clayey soil excavated from the Paris region was investigated for reuse as a backfill material. It was stabilized with alkali-activated fly ash and ground-granulated blast-furnace slag with lime as a reference material. Geopolymer activation was performed using a 14 M sodium hydroxide solution combined with sodium silicate. Cylindrical specimens (33 mm diameter × 71 […]
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Perturbative analytical framework for thermal wave diffusion in non-linear building envelopes
Model Predictive Control (MPC) in building energy management requires transient thermal models balancing thermodynamic accuracy with computational efficiency. Standard spatial discretization triggers state-space inflation, paralyzing real-time solvers, while Transfer Matrix Methods (TMM) suffer from high-frequency numerical overflow and assume material homogeneity. This paper introduces a novel frequency-domain framework based on the continuous spatial Riccati equation. […]
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A new framework for measuring community diversity in temporal ecological networks
Assessing changes in community diversity is a central issue with regard to many fundamental and applied aspects in ecology, biogeography and conservation. However, some important features for the assessment of community by diversity measures still need to be considered to quantify spatio-temporal variation, notably their explicit variation through time while integrating network structure and species […]