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Publications

    • Conférence
    • Ingénierie & Outils numériques

    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 […]

    • Article
    • Ingénierie & Outils numériques

    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 […]

    • Article
    • Ingénierie & Outils numériques

    Enhanced multi-horizon occupancy prediction in smart buildings using cascaded Bi-LSTM models with integrated features

    Accurate occupancy prediction in smart buildings is crucial for optimizing energy management, improving occupant comfort, and effectively controlling building systems, particularly for short- and long-term horizons. Recently, deep learning-based occupancy prediction methods have gained considerable attention. However, the full potential of these methods remains under explored in terms of model architecture variations and prediction horizons. […]

    • Conférence
    • Ingénierie & Outils numériques

    Optimizing Comfort and Energy Efficiency: The Impact of Model Accuracy on Multi-Objective MPC

    Abstract—Buildings are responsible for ∼30% of primary energy consumption, mainly because of Heating, Ventilation, and Air Conditioning (HVAC) systems. The usual ON/OFF controller tends to react to occupancy presence, causing discomfort and energy waste. Furthermore, these controllers usually focus on thermal comfort and disregard other comforts, such as air quality, visual, etc. due to their […]

    • Conférence
    • Ingénierie & Outils numériques

    Supply Chain Optimization with the Digital Twin: Case study of a warehouse

    In a complex logistics landscape, the need for efficient and optimized Supply Chain’s (SC’s) is becoming increasingly important. This is crucial to creating an efficient SC and ensuring consistent, optimized use of resources. Efficient logistics management is essential if companies are to maintain their competitiveness in the marketplace. Digital technologies, such as digital warehouses, are […]

    • Brevet
    • Ingénierie & Outils numériques

    Medical Compression Prototype in a Wireless Sensor network

    Medical Compression Prototype in a Wireless Sensor network (Submitted).

    • Conférence
    • Ingénierie & Outils numériques

    Industrial Process Optimization with Digital Twin Solutions: Modeling, Monitoring and Decision-Making. Application to a water filtration unit.

    The digital transformation of industry is an essential pillar of the global economy, aimed at improving productivity, promoting sustainable development and optimizing industrial performance. It relies on the use of advanced technologies such as cyber-physical systems, artificial intelligence and the Internet of Things, which make industrial systems not only more complex, but also more communicative, […]

    • Conférence
    • Ingénierie & Outils numériques

    Effet de la complexité du réseau LSTM sur l’explicabilité en Maintenance Prédictive

    La nature complexe des données en maintenance prédictive impose souvent l’utilisation de modèles d’apprentissage profonds. Malgré leur efficacité dans la prédiction du RUL (durée de vie résiduelle des machines), ces « boites noires » fournissent des résultats qui ne sont pas directement compréhensibles. Ainsi, des méthodes XAI post hoc sont gé néralement utilisées pour les […]

    • Conférence
    • Ingénierie & Outils numériques

    Hyperparameter Impact on Computational Efficiency in Federated Edge Learning

    The heterogeneity induced by the federated edge learning execution environment poses many performance challenges. Indeed, a balance between efficient resource usage and inference accuracy must be found. Our work therefore aims at characterizing the hyperparameter influence by creating a variety of simulated execution circumstances. We designed an experimentation platform to simulate the execution of a […]

    • Conférence
    • Ingénierie & Outils numériques

    Optimizing Shapley Value for Client Valuation in Federated Learning through Enhanced GTG-Shapley

    In the ever-evolving realm of federated learning (FL), the question of data worth resonates with newfound urgency across organizations and individuals. In the dynamic FL ecosystem, where data resides across distributed nodes, evaluating the value of each client’s data is paramount. The evaluation mechanism helps to understand individual contributions to the overall process and incentivizes […]

    • Conférence
    • Ingénierie & Outils numériques

    Enhancing Explainability in Predictive Maintenance: Investigating the Impact of Data Preprocessing Techniques on XAI Effectiveness

    In predictive maintenance, the complexity of the data often requires the use of Deep Learning models. These models, called ”black boxes”, have proved their worth in predicting the Remaining Useful Life (RUL) of industrial machines . However, the inherent opacity of these models requires the incorporation of post-hoc explanation methods to enhance transparency. The quality […]

    • Article
    • Ingénierie & Outils numériques

    GDLC: A new Graph Deep Learning framework based on centrality measures for intrusion detection in IoT networks

    The increasing growth of the Internet of Things (IoT) with the diverse and dynamic nature of devices made detecting and preventing network intrusions more important and challenging. As new and sophisticated cyber-attacks are being used, there is an increasing need for advanced intrusion detection systems that can adapt to emerging threats. The majority of existing […]


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