Publications
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Uncovering Living Labs’ Activities and Outcomes: Key Insights for Stakeholder Expectations
This article presents a research study on the activities and outcomes of Living Labs, which are collaborative innovation structures that involve various stakeholders in the innovation process. The study aims to provide insights into the practical implementation of Living Labs and their resulting outcomes. The literature review highlights the importance of understanding the activities conducted […]
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Fondements théoriques de l’effet Proteus : comment les avatars influencent le comportement des utilisateurs
L’effet Proteus est un phénomène, décrit pour la première fois en 2007, qui illustre la façon dont l’incarnation d’avatars en réalité virtuelle peut moduler l’attitude et le comportement de son utilisateur. Malgré les nombreuses démonstrations de l’effet dans la littérature, attestant de sa validité, notre compréhension des mécanismes cognitifs à l’origine du phénomène reste insuffisante. […]
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Online Phishing Detection: A Heuristic-Based Machine Learning Framework
The prevalence of phishing attacks has exhibited a marked rise in recent years, posing significant threats to the confidentiality, integrity, and availability of sensitive data at both individual and organizational levels. This escalating threat underscores the critical need for automated and real-time detection of phishing web pages. This paper proposes a novel machine-learning framework that […]
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Trustworty Smart CPS
Application on Autonomous Decisions Using Formal Methods
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Characterizing the Culture of Teal Organizations
Teal organizations arose around the world in the last decades and were recently described as potentially announcing a new stage of evolution for human organizations. They are characterized by three defining features: Self-management, Wholeness, and Evolutionary purpose. As the emergence of such organizations echoes other signs of change in the workplace and in society, we […]
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Optimizing Comfort and Energy Efficiency: The Impact of Model Accuracy on Mutli-Objective MPC
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 […]
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Metaheuristics and Machine Learning Convergence: A Comprehensive Survey and Future Prospects
The integration of machine learning techniques with optimization algorithms has garnered increasing interest in recent years. Two primary purposes emerge from the literature: leveraging metaheuristics in machine learning applications such as regression, classification, and clustering, and enhancing metaheuristics using machine learning to improve convergence time, solution quality, and flexibility. Machine learning techniques offer real-time decision-making […]
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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 […]
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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, […]
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Medical Compression Prototype in a Wireless Sensor network
Medical Compression Prototype in a Wireless Sensor network (Submitted).
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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 […]
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