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    • Paper
    • Engineering and Numerical Tools

    Machine learning for density prediction and process optimization of 316L stainless steel fabricated by selective laser melting

    Selective laser melting (SLM) is an additive manufacturing technique formetallic materials, currently implemented in different industrial applications. Among the various materials, 316L stainless steel (316L SS) has been widely investigated by this process. However, achieving optimal manufacturing quality is challenging due to the large number of parameters that affect the final product. Traditional methods for […]

    • Paper
    • Learning and Innovating

    Processus de problématisation et mobilisation de la forme « problème » dans les pédagogies des écoles d’ingénieurs : une analyse de cas par les capabilités

    Les méthodes de pédagogie active désignent un ensemble de démarches pédagogiques qui cherchent à mettre les apprenants en situation d’être acteurs de leurs apprentissages. Pour cela, elles s’appuient dans leurs modalités de mise en oeuvre sur l’expérience des apprenants et encouragent l’implication par l’investigation, la participation, la réflexion critique, l’appropriation par le faire et la […]

    • Paper
    • Engineering and Numerical Tools

    Optimized cooperative vehicle routing in multi-depot collection systems for circular economy: Model development and case study

    Manufactured products and used raw materials should be reprocessed and reutilized to ensure sustainability in the context of the circular economy. Optimized waste collection and management play a crucial role in establishing effective circular economy practices. A collaborative waste collection system is one of the pillars for optimizing the entire waste collection process. Collaborative waste […]

    • Paper
    • Learning and Innovating

    Multisensory objects’ role on creativity

    In this research, we investigated the role of multisensorial manipulation on creativity, and the influence of inspirational objects on creative outcomes. Object manipulation may support embodied cognition during a generative creative phase (emergence of motor, spatial, emotional ideas, etc.) then exploratory phase (creative fixation, development of a functional creation, etc.). Our protocol involved 136 engineering […]

    • Paper
    • Engineering and Numerical Tools

    New insights on rheology, durability and mechanical and thermal properties of polyester and steel fiber-reinforced Self-Compacting Concretes

    Self-compacting concrete improves fresh-state fluidity while maintaining mechanical properties, and presents an increasing research interest in fiber incorporation. However, the effects of fibers on rheological behavior and durability remain insufficiently studied in existing literature. This study provides new insights on the effect of polyester and steel fibers on the rheological, mechanical, durability, microstructural, and thermal […]

    • Paper
    • Engineering and Numerical Tools

    A novel deep learning approach for facial emotion recognition: application to detecting emotional responses in elderly individuals with Alzheimer’s disease

    Facial expressions are a critical form of nonverbal communication, conveying a wide range of emotions. Recent advancements in artificial intelligence and computer vision have led to the development of deep learning methods, particularly convolutional neural networks, which are highly effective in facial emotion recognition. This paper presents EmoNeXt, an advanced deep learning framework for FER […]

    • Scientific book chapter
    • Engineering and Numerical Tools

    Fundamentals of Quantum Programming

    This chapter provides an introduction to Qiskit, an open-source software frame- work for quantum computation that was developed by IBM. Its purpose is to simplify the process of quantum programming for individuals of all skill levels. This chapter explores the complexities of quantum programming by explaining the theoretical foundations and offering practical illustrations of quantum […]

    • Paper
    • Learning and Innovating
    • Engineering and Numerical Tools

    Green hydrogen production using bifacial solar photovoltaics integrated with high-albedo roof coating & micro-inverter

    Green hydrogen is a key factor for the decarbonization of the energy sector and to foster the clean energy transition but has the highest cost when compared to grey and blue hydrogen. This is due to the high cost of the generation of energy from renewable sources and the efficiency of the water electrolyzer. Future […]

    • Paper
    • Learning and Innovating

    Sécurité, complexité, imprévisibilité: apports et perspectives des travaux de Leplat

    e thème de la sécurité a un statut particulier dans les travaux de Jacques Leplat puisqu’il est transversal à toute sa carrière (Leplat, 1985, 2011; Leplat & Cuny, 1974). À partir des années 80, il s’est lié à celui de complexité, devenu indispensable pour décrire le monde qui nous entoure (Leplat & De Terssac, 1990; […]

    • Conference
    • Engineering and Numerical Tools

    Split-Federated Reinforcement Learning for IoMT Data and Task Management in Edge-Fog-Cloud Infrastructure

    Workload management in edge-fog-cloud infrastructure for the Internet of Medical Things (IoMT) involves significant costs and difficulties, primarily due to the challenge of managing tasks and the unpredictability of data generated by IoMT devices while processing real-time patient health states. Deep Reinforcement Learning (DRL) shows promise in efficiently addressing dynamic data placement and task offloading. […]

    • Conference
    • Engineering and Numerical Tools

    Fog-Enabled Metaverse : Common points in an Industry 5.0 context

    The industrial Metaverse is a virtual world where people and smart machines can meet, work, and interact. It is a constantly evolving domain where physical production assets such as machines, factories, grids, and transportation systems, along with human operators, are represented by interactive virtual objects. However, creating such a virtual world requires an efficient process […]

    • Conference
    • Engineering and Numerical Tools

    Impact of considering virgin cork absorption on hydric properties of biobased concrete

    Thanks to their excellent transfer properties, the use of cork aggregates in designing of biobased concretes constitutes nowadays one of the most promising solution to reduce the building environmental impact. However, their elevated water absorption capacity provokes numerous problems during preparation of concretes, affecting thus the concrete performances. This study aims to explore the impact […]


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