Publications
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Decoding Persuasiveness in Eloquence Competitions: An Investigation into the LLM’s Ability to Assess Public Speaking
The increasing importance of public speaking (PS) skills has fueled the development of automated assessment systems, yet the integration of large language models (LLMs) in this domain remains underexplored. This study investigates the application of LLMs for assessing PS by predicting persuasiveness. We propose a novel framework where LLMs evaluate criteria derived from educational literature […]
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Geopolymers in nuclear waste storage and immobilization: mechanisms, applications, and challenges
According to the latest report by the International Atomic Energy Agency (IAEA), nuclear facilities generate over 30 tons of high-level radioactive waste and 300,000 tons of medium-level waste annually, highlighting the need for secure immobilization methods to safeguard environmental and public health. Cementitious materials such as ordinary Portland cement (OPC) and other materials are commonly […]
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Finite-dimensional adaptive observer design for linear parabolic systems with delayed measurements
New finite-dimensional adaptive observers are proposed for uncertain heat equation and a class of linear Kuramoto–Sivashinsky equation (KSE) with local output. The observers are based on the modal decomposition approach and use a classical persistent excitation condition to ensure practical exponential convergence of both states and parameters estimation. An important challenge of this work is […]
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A multi-agent system simulation of job shop scheduling with human consideration: A comparative analysis of AGVs and AIVs
The manufacturing landscape is undergoing a paradigm shift towards Industry 5.0, emphasizing human-centricity in a collaborative environment between humans and robots. In this context, the job shop scheduling problem (JSSP) remains a critical aspect of workshop management, optimizing task sequencing to minimize the overall completion time (makespan). Traditionally, autonomous and guided vehicles (AGVs) have been […]
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Sampled-data high gain observers for dynamic state estimation in power system
A novel dynamic state estimator is proposed for a class of synchronous generators. The proposed observer is based on high gain principle and provides an accurate estimations of all states of the systems. A sampled-data version which can works with relatively low sampling frequency is also provided. Our algorithms are vali- dated in simulations and […]
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Predictive Maintenance for Smart Buildings: Balancing QoS and Cost Efficiency
The rapid advancement of sensing technologies and connectivity has revolutionized predictive maintenance (PdM), particularly for smart buildings (SB). Despite these advancements, implementing data-driven approaches faces challenges, mainly due to scarce failure data and the SB systems complexity. In this paper, we propose a cooperative multi-agent reinforcement learning (RL) based approach to address these challenges in […]
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Biobased materials as a robust solution for building renovation
Bio-based materials like wood, straw, and hemp, offer a sustainable solution to reducing carbon footprints and confronting climate change in construction. These materials not only lower the environmental impact and emissions but also improve insulation, aligning with the circular economy and life cycle assessment goals. Their use addresses the construction sector’s high energy demand and […]
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Enhanced Calibration of a Laser Profiler Sensor for 3D Inspection and Reconstruction
In recent decades, inspection and three-dimensional reconstruction of gas and water pipes have required high-precision sensors capable of operating in confined and low-texture environments, which presents challenges to traditional sensing technologies. This paper presents the design of both hardware and software for a laser profiler sensor, introducing a novel approach to calibrating the sensor to […]
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Parametric analysis and new performance correlation of an innovative system for green hydrogen, oxygen, heat, and electricity production: Application in Pau
Multi-generation systems powered by renewable energy sources are positioned as promising solutions to reduce the carbon footprint. This work proposes and analyses an innovative system capable of simultaneously generating green hydrogen, electrical energy, and thermal energy. The system combines a proton exchange membrane (PEM) electrolyser with photovoltaic thermal (PVT) collectors using heat pipes (PVT/HP). A […]
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Solar-Enhanced ocean thermal energy conversion for green liquid hydrogen production
A design, simulation, and optimization of a solar-enhanced ocean thermal energy conversion system for the simultaneous production of power and liquid hydrogen are proposed. This study explores a novel approach to enhancing ocean thermal energy conversion performance by integrating solar thermal collectors with nanofluids, thereby augmenting the exergy efficiency and system economics. Incorporating solar thermal […]
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Distinguer les soft skills d’autres construits
On constate aujourd’hui, dans les publications en sciences de la formation, en sciences de gestion, comme dans les rapports d’organisations internationales, un point consensuel : les soft skills sont considérées comme de plus en plus importantes pour l’employabilité des personnes. Mais le syntagme anglais soft skills a des traductions variables, et quelle que soit la […]
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TCAD-Based Analysis on the Impact of AlN Interlayer in Normally-off AlGaN_GaN MISHEMTs with Buried p-Region
With the growing demand for more efficient power conversion and silicon reaching its theoretical limit, wide bandgap semiconductor devices are emerging as a potential solution. For instance, Gallium Nitride (GaN)-based high-electron-mobility transistors (HEMTs) are getting more attention, and several structures for the normally off operation have been proposed. Adding an AlN interlayer in conventional AlGaN/GaN […]
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