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Critical thinking, the art of productive doubt, can be learned and cultivated. Faced with information overload and the spread of artificial intelligence, it is more important than ever for students to develop this skill throughout their studies. At UNamur, this educational necessity takes many forms. 

Essay topic Essays on the Empirical Analysis of Crypto-Assets: Market Efficiency, Peg Failures, and Financial Flights Composition of the Jury Promoter: Prof. Jean-Yves Gnabo (UNamur)Other jury members: Prof. Sophie Béreau (UNamur)Prof. Kris Boudt (UGent)Prof. Sarah Bouraga (EM Normandie)Prof. Jérôme Lahaye (Fordham University)Jury president: Prof. Corentin Burnay (UNamur)

A flurry of awards for the NaDI-CeRCLe research center in recent weeks. The service management research of three young doctoral students from the EMCP Faculty has been recognized by their peers at leading international scientific events: Floriane Goosse, Victor Sluÿters and Florence Nizette. This summer, we invite you to discover their careers and their work.

New from 2025-2026 The MAGIS program is a unique and exclusive exchange program that will transform you into a global citizen, a global agent of change.

Global environmental citizenship Course The Global environmental citizenship course is an international course on global citizenship, focusing on environmental justice. It is taught online and coordinated by a professor from Loyola University Chicago. The course objectives are: Understand the local and global impacts of biodiversity loss, water scarcity and climate changeEvaluate these impacts from a moral and spiritual perspectiveAct as responsible citizens, locally and globally, in the face of these challengesStudents selected for the MAGIS program will take the first part of the course during the 2nd quadrennium of Block 2 and the second part during the first quadrennium of Block 3. Discover the projects created by our students Course" exchange stay The "course" exchange stay enables students selected for the MAGIS program to take courses (for +/- 30 ECTS credits) during one term (the 1st term of Boc 3) at one of the participating Jesuit universities in or outside Europe.The stay is supported by a "course" mobility grant for partner universities where a bilateral agreement has been concluded with UNamur. This information can be found in the list of MAGIS program partners on Webcampus. Scholarship information Service Learning During the exchange stay, the students selected for the MAGIS program will carry out a service learning mission (internship, volunteering, etc), organized and supervised by the host University. This will enable students to:Understand the local environmentGet involved in community supportLearn and take on responsibilities Organization of these 3 components These three components are organized as follows:

This is great recognition for the excellence of the research carried out at the University of Namur: the Faculty of Informatics has been asked to join the prestigious Informatics Europe network, which brings together the most dynamic departments and faculties of Informatics across Europe.

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

Semantic change, i.e. the evolution of word meanings over time, offers crucial information about historical, cultural and linguistic processes. Language acts as a mirror of societal change, reflecting evolving values, norms and technological advances. Understanding how the meaning of words evolves enables us to trace these transformations and gain a deeper understanding of our distant and recent past.This seminar explores how computational methods are revolutionizing our ability to analyze semantic change in historical texts, addressing a major challenge in the field of digital humanities. While advanced computational methods enable us to analyze vast datasets and uncover previously inaccessible patterns, few natural language processing algorithms fully take into account the dynamic nature of language, particularly semantics, which is essential for research in the humanities. As AI systems develop to better understand the historical context and dynamics of language, human annotation and interpretation remain essential to capture the nuances of language and its cultural context.In this presentation, I will show how computational and human-centered approaches can be effectively combined to examine semantic change and its links to cultural and technological developments. I will present examples illustrating how semantic change can be analyzed across temporal, cultural and textual dimensions."Methods "seminarsThe Methods Seminar is a series of seminars organized at the University of Namur with the aim of fostering interdisciplinary collaboration and knowledge exchange. All seminars take place in a hybrid format.This seminar series focuses on advanced methodological approaches, particularly in the fields of natural language processing (NLP), artificial intelligence (AI), video and image analysis, and multimodal analysis.To stay informed about details of upcoming seminars, please subscribe to our mailing list below. I subscribe to the "Methods" mailing list

More info to come."Methods "seminarsThe Methods Seminar is a series of seminars organized at the University of Namur with the aim of fostering interdisciplinary collaboration and knowledge exchange. All seminars take place in a hybrid format.This seminar series focuses on advanced methodological approaches, particularly in the fields of natural language processing (NLP), artificial intelligence (AI), video and image analysis, and multimodal analysis.To stay informed about details of upcoming seminars, please subscribe to our mailing list below. I subscribe to the "Methods" mailing list