TRANSDEM Seminar | Markus Hermann Meckl
Victimization and identity: the post-heroic society
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Digital literacy through fiction: NaDI's interdisciplinary initiative
The Namur Digital Institute (NaDI) is launching a series of original events: "Les Séances du Numérique". Films followed by debates with experts to understand digital challenges and stimulate collective thinking. A project spearheaded by Anthony Simonofski, Anne-Sophie Collard, Benoît Vanderose and Fanny Barnabé.
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Citizens' assemblies: gimmicks or levers for change?
For the past fifteen years or so, participatory and deliberative democracy mechanisms have been multiplying: participatory budgets, popular consultations, citizens' panels, and so on. Vincent Jacquet, a political scientist and coordinator of the European research project Citizen Impact (ERC project, European Research Council), studies the impact of these devices from the point of view of governors and citizens.
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Defense of doctoral thesis in computer science - Gonzague Yernaux
Abstract
Deep learning has become an extremely important technology in numerous domains such as computer vision, natural language processing, and autonomous systems. As neural networks grow in size and complexity to meet the demands of these applications, the cost of designing and training efficient models continues to rise in computation and energy consumption. Neural Architecture Search (NAS) has emerged as a promising solution to automate the design of performant neural networks. However, conventional NAS methods often require evaluating thousands of architectures, making them extremely resource-intensive and environmentally costly.This thesis introduces a novel, energy-aware NAS pipeline that operates at the intersection of Software Engineering and Machine Learning. We present CNNGen, a domain-specific generator for convolutional architectures, combined with performance and energy predictors to drastically reduce the number of architectures that need full training. These predictors are integrated into a multi-objective genetic algorithm (NSGA-II), enabling an efficient search for architectures that balance accuracy and energy consumption.Our approach explores a variety of prediction strategies, including sequence-based models, image-based representations, and deep metric learning, to estimate model quality from partial or symbolic representations. We validate our framework across three benchmark datasets, CIFAR-10, CIFAR-100, and Fashion-MNIST, demonstrating that it can produce results comparable to state-of-the-art architectures with significantly lower computational cost. By reducing the environmental footprint of NAS while maintaining high performance, this work contributes to the growing field of Green AI and highlights the value of predictive modelling in scalable and sustainable deep learning workflows.
Jury
Prof. Wim Vanhoof - University of Namur, BelgiumProf. Gilles Perrouin - University of Namur, BelgiumProf. Benoit Frénay - University of Namur, BelgiumProf. Pierre-Yves Schobbens - University of Namur, BelgiumProf. Clément Quinton - University of Lille, FranceProf. Paul Temple- University of Rennes, FranceProf. Schin'ichi Satoh - National Institute of Informatics, Japan
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BNAIC - BENELEARN 2025
BNAIC/BeNeLearn 2025 will be held at the University of Namur under the auspices of the Belgian-Dutch Association for Artificial Intelligence (BNVKI) and the Dutch Research School for Information and Knowledge Systems (SIKS). The conference aims at presenting an overview of state-of-the-art research in artificial intelligence and machine learning in Belgium, The Netherlands, and Luxembourg.
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Defense of doctoral thesis in computer science - Sacha Corbugy
Abstract
Deep learning has become an extremely important technology in numerous domains such as computer vision, natural language processing, and autonomous systems. As neural networks grow in size and complexity to meet the demands of these applications, the cost of designing and training efficient models continues to rise in computation and energy consumption. Neural Architecture Search (NAS) has emerged as a promising solution to automate the design of performant neural networks. However, conventional NAS methods often require evaluating thousands of architectures, making them extremely resource-intensive and environmentally costly.This thesis introduces a novel, energy-aware NAS pipeline that operates at the intersection of Software Engineering and Machine Learning. We present CNNGen, a domain-specific generator for convolutional architectures, combined with performance and energy predictors to drastically reduce the number of architectures that need full training. These predictors are integrated into a multi-objective genetic algorithm (NSGA-II), enabling an efficient search for architectures that balance accuracy and energy consumption.Our approach explores a variety of prediction strategies, including sequence-based models, image-based representations, and deep metric learning, to estimate model quality from partial or symbolic representations. We validate our framework across three benchmark datasets, CIFAR-10, CIFAR-100, and Fashion-MNIST, demonstrating that it can produce results comparable to state-of-the-art architectures with significantly lower computational cost. By reducing the environmental footprint of NAS while maintaining high performance, this work contributes to the growing field of Green AI and highlights the value of predictive modelling in scalable and sustainable deep learning workflows.
Jury
Prof. Wim Vanhoof - University of Namur, BelgiumProf. Gilles Perrouin - University of Namur, BelgiumProf. Benoit Frénay - University of Namur, BelgiumProf. Pierre-Yves Schobbens - University of Namur, BelgiumProf. Clément Quinton - University of Lille, FranceProf. Paul Temple- University of Rennes, FranceProf. Schin'ichi Satoh - National Institute of Informatics, Japan
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University and democracy: a living, sometimes threatened, link
Trust of traditional political institutions and elected representatives, rise of authoritarian logics, definition of public services... Democracy today seems to be going through a turbulent zone. What role does the university play in this context? To shed light on this question, we interviewed four researchers from different disciplines: educationalist Sephora Boucenna, philosopher Louis Carré, political scientist Vincent Jacquet and legal scholar Aline Nardi. Their contrasting views sketch out the contours of an issue that is more topical than ever: thinking about and defending the link between university and democracy.
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Florentin Rochet - IT Security: Reading Between the Lines of Code
Florentin Rochet, a professor of computer security at the University of Namur, specializes in applied cryptography and secure communications. Against the backdrop of rapid advances in artificial intelligence and open-source solutions, he shares his analysis of the current situation and offers his outlook for the future.
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Studies in Information and Communication
Advertisements, social media, radio, television, print media, digital platforms… there are many different forms of communication, and they play a very significant role in our daily lives today. But how do these media work? How does information circulate in today’s society? And how can we communicate in a way that is both effective and creative, yet also critical and responsible? By becoming communication and journalism professionals working for media outlets, companies, and organizations, you’ll learn to decode these messages and make your voice heard amid this flood of information.
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Studies at Sciences Po
How can governments and citizens respond to the climate crisis? Why is the far right winning elections? What are the ways to resolve armed conflicts? Does the European Union have a future after Brexit? Political science provides analytical tools for studying these issues. The Bachelor’s degree in Political Science is a cutting-edge program for those who wish to understand the transformations of contemporary societies and become active participants in NGOs, governments, businesses, and European and international institutions.
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The SUSCARE Project: What if “caring” were the solution to the labor crisis?
Increasingly demanding workloads, an imbalance between work and personal life, and greater performance scrutiny… the world of work is undergoing profound changes. In this context, how can we enable individuals to remain engaged and find lasting fulfillment in their professional lives? A new ARC research project called “SUSCARE” proposes an innovative solution: placing the concept of care at the heart of organizational practices.
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The studies
New markets, increased competition, technological advances, but also ecological, energy, political and quality of life issues... The challenges to be met are numerous and the needs are constantly growing. Approach economic and social issues from a fresh perspective, sensitive to societal and ethical responsibility, interdisciplinarity, the international dimension and the challenges of transition to shape the sustainable future of our society.Welcome to the Faculty Economics Management Communication Politics (EMCP)!
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