Publications
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Requirements engineering and user needs analysis
This chapter aims to provide guiding concepts to understand Requirements Engineering and User Needs Analysis, including methodological insights regarding the process and the object of study: focusing on different kinds of needs, including motivational needs, stimulating innovation, and anticipating future needs at the individual and societal levels. This chapter builds on several previous publications by […]
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Incorporating Uncertain Human Behavior in Production Scheduling for Enhanced Productivity in Industry 5.0 Context
Human-centered production systems are of increasing interest to researchers, especially with the advent of the Industry 5.0 paradigm. Most research into production scheduling has long neglected human workers’ specific roles and unpredictable behavior in a production system, treating them as machines with deterministic behavior. This work studies the impact of human operational behavior on the […]
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Thermodynamic analysis of an innovative system for green hydrogen, oxygen, heat, and electricity production: Application to warm oceanic climate conditions in Pau
Renewable solar energy-powered multi-generation systems have become cutting-edge technology in the effort to decrease greenhouse gas emissions. This research introduces and evaluates a new multi-generation system that generates eco-friendly hydrogen, electricity, and thermal energy. The suggested system consists of a solar photovoltaic heat pipe (PVT) collector, stratified water storage, and a proton exchange membrane (PEM) […]
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Federated Learning Survey: A Multi-Level Taxonomy of Aggregation Techniques, Experimental Insights, and Future Frontiers
The emerging integration of IoT (Internet of Things) and AI (Artificial Intelligence) has unlocked numerous opportunities for innovation across diverse industries. However, growing privacy concerns and data isolation issues have inhibited this promising advancement. Unfortunately, traditional centralized machine learning (ML) methods have demonstrated their limitations in addressing these hurdles. In response to this ever-evolving landscape, […]
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Scheduling Periodic Messages on a Shared Link without Buffering
Cloud-RAN, a novel architecture for modern mobile networks, relocates processing units from antenna to distant data centers. This shift introduces the challenge of ensuring low latency for the periodic messages exchanged between antennas and their respective processing units. In this study, we tackle the problem of devising an efficient periodic message assignment scheme under the […]
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Reinforcement learning for HVAC control in intelligent buildings: A technical and conceptual review
Heating, Ventilation and Air Conditioning (HVAC) systems in buildings are a major source of global operational CO2 emissions, primarily due to their high energy demands. Traditional controllers have shown effectiveness in managing building energy use. However, they either struggle to handle complex environments or cannot incorporate learning from experience into their decision-making processes, leading to […]
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From social manufacturing and entrepreneurship to social open innovation: Exploring the role of fabrication laboratories
The research aims to shed light on the role of open innovation in addressing social and economic challenges. It focuses on 3D-based fabrication laboratories (fablabs) and attempts to identify the mechanisms through which the latter facilitates the diffusion and promotion of (open) innovations. The findings reveal how fablabs and additive manufacturing (AM) enable the scaling […]
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Formulation and characterization of a Natural Bifiber-Reinforced Mortar in construction materials
European prerogatives (RE2020) encourage the adoption of materials with a reduced environmental footprint due to the current state of climate. Researchers are currently investigating the use of natural fiber reinforcement in cementitious matrices as an eco-friendly approach to reduce the carbon footprint associated with construction materials. Vegetal fibers are potential substitutes for conventional fibers used […]
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Exploring a Knowledge-Based Approach for Predictive Maintenance of Aircraft Engines: Studying Fault Propagation through Spatial and Topological Component Relationships
Predictive maintenance has become a highly favored application in Industry 4.0, particularly in complex systems with requirements for reliability, robustness, and performance. Aircraft engines are among these systems, and several studies have been conducted to try to estimate their remaining lifespan. The C-MAPSS dataset provided by NASA has greatly served the scientific community, and several […]
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NUMERICAL INVESTIGATION OF THE FLEXURAL BEHAVIOR OF STEEL PLATES REINFORCED WITH HYBRID FLAX/CARBON COMPOSITE PATCHES
For strengthening or rehabilitation of existing structures, patches of fiber-reinforced polymers (FRP) materials are being adhesively bonded to the existing metallic structures. So far, Carbon FRP (CFRP) are the main composite materials industrially implemented for metal structural reinforcement, due to their reliability and high mechanical performances. However, multiple researchers have highlighted the negative environmental impact […]
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LEAN-BIM SYNERGY IN THE CONSTRUCTION DESIGN PHASE: AUTO-GENERATION AND EVALUATION OF THERMAL ALTERNATIVES
This study explores the integration of Lean principles with Building Information Modeling (BIM) to enhance decision-making in the relatively unexplored field of thermal design for construction projects. Recognizing the limitations of current design processes, characterized by insufficient alternatives and a lack of team collaboration, we introduce a new decision-making tool. This tool centers on a […]
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Sampled-Data Observer Design for Linear Kuramoto-Sivashinsky Systems with Non-Local Output
The aim of this paper is to provide a novel systematic methodology for the design of sampled-data observers for Linear Kuramoto-Sivashinsky systems (LK-S) with non-local outputs. More precisely, we extend the systematic sampled-data observer design approach which is based on the use of an Inter-Sample output predictor to the class of LK-S systems. By using […]
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