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Target audienceGeneral practitioners (in practice or in training)PharmacistsMedical and pharmacy studentsObjectivesShare and discuss scientific articles relevant to frontline practice in a friendly and caring atmosphereStrengthen skills in critical reading and evidence-based medicineCreate a lasting link between the field and the academic worldFederate an active and committed medico-pharmaceutical community.pharmaceutical communityWhy participate?Because science moves fast, and we all benefit from taking the time to read, understand, and question the literature together. Because quality care starts with shared reflection. And because it's the ideal opportunity to strengthen bridges between disciplines.Location and frequency of meetingsUNamur - Quai22 - 2 times a yearFirst meeting: 5/06/2025 (free with registration)INAMI accreditation required. I want to register

Our researchers work through 11 interdisciplinary research institutes, covering multiple themes such as the environment, ecology, health, human and animal welfare, text, languages, complex systems, digital, heritage, economics, finance and materials ...

Communiqué of the Rectors' Council (CReF) of April 19, 2025.

At the University of Namur, we believe that every student deserves to thrive and succeed. Our inclusion policy aims to create an environment where fairness, equality and justice are at the heart of our actions.

SynopsisA honeypot is a security tool deliberately designed to be vulnerable, thereby enticing attackers to probe, exploit, and compromise it. Since their introduction in the early 1990s, honeypots have remained among the most widely used tools for capturing cyberattacks, complementing traditional defenses such as firewalls and intrusion detection systems. They serve both as early warning systems and as sources of valuable attack data, enabling security professionals to study the techniques and behaviors of threat actors.While conventional honeypots have achieved significant success, they remain deterministic in their responses to attacks. This is where adaptive or intelligent honeypots come into play. An adaptive honeypot leverages Machine Learning techniques, such as Reinforcement Learning, to interact with attackers. These systems learn to take actions that can disrupt the normal execution flow of an attack, potentially forcing attackers to alter their techniques. As a result, attackers must find alternative routes or tools to achieve their objectives, ultimately leading to the collection of more attack data.Despite their advantages, traditional honeypots face two main challenges. First, emulation-based honeypots (also known as low- and medium-interaction honeypots) are increasingly susceptible to detection, which undermines their effectiveness in collecting meaningful attack data. Second, real-system-based honeypots (also known as high-interaction honeypots) pose security risks to the hosting organization if not properly isolated and protected. Since adaptive honeypots rely on the same underlying systems, they also inherit these challenges.This thesis investigates whether it is possible to design a honeypot system that mitigates these challenges while still fulfilling its primary objective of collecting attack data. To this end, it proposes a new abstract model for adaptive self-guarded honeypots, designed to balance attack data collection, detection evasion, and security preservation, ensuring that it does not pose a risk to the rest of the network.Jury membersProf. Wim VANHOOF, President, University of NamurProf. Jean-Noël COLIN, Promoter, University of NamurProf. Florentin ROCHET, Internal Member, University of NamurProf. Benoît FRENAY, Internal Member, University of NamurProf. Ramin SADRE, External Member, Catholic University of LeuvenDr. Jérôme FRANCOIS, External Member, University of LuxembourgYou are cordially invited to a drink, which will follow the public defense. For good organization, please give your answer by Tuesday, May 20, 2025.

Synopsis deep learning methods have become increasingly popular for building intelligent systems. Currently, many deep learning architectures constitute the state of the art in their respective domains, such as image recognition, text generation, speech recognition, etc. The availability of mature libraries and frameworks to develop such systems is also a key factor in this success.This work explores the use of these architectures to build intelligent systems for sign languages. The creation of large sign language data corpora has made it possible to train deep learning architectures from scratch. The contributions presented in this work cover all aspects of the development of an intelligent system based on deep learning. A first contribution is the creation of a database for the Langue des Signes de Belgique Francophone (LSFB). This is derived from an existing corpus and has been adapted to the needs of deep learning methods. The possibility of using crowdsourcing methods to collect more data is also explored.The second contribution is the development or adaptation of architectures for automatic sign language recognition. The use of contrastive methods to learn better representations is explored, and the transferability of these representations to other sign languages is assessed.Finally, the last contribution is the integration of models into software for the general public. This led to a reflection on the challenges of integrating an intelligent module into the software development life cycle.Jury membersProf. Wim VANHOOF, President, University of NamurProf. Benoît FRENAY, Promoter, University of NamurProf. Anthony CLEVE, Co-promoter, University of NamurProf. Laurence MEURANT, Internal Member, University of NamurProf. Lorenzo BARALDI, External Member, University of ModenaProf. Annelies BRAFFORT, External Member, University of Paris-SaclayProf. Joni DAMBRE, External Member, University of GhentYou are cordially invited to a drink, which will follow the public defense. For a good organization, please give your answer by Friday June 6.

Essay topic Essays on the macroeconomic effects of cross-country and time heterogeneity in a monetary union Composition of the Jury PromotersProfessor Jean-Yves Gnabo, University of NamurProfessor Hamza Bennani (University of Nantes), Co-promoterOther Jury membersProfessor Sophie Béreau, Université de NamurProfessor Pauline Gandré, Université Paris NanterreProfessor Yuliya Rychalovska, Université de NamurPresident of the JuryProfessor Oscar Bernal, Université de Namur

Sustainably promoting gender equality in scientific and academic careersSupported by UMONS and UNamur, ISALA NOVA is a pilot action-research project aimed at profoundly transforming academic institutions to promote gender equality. Supported by the Sakura Fund of the Foundation for Future Generations, it relies on collective collaboration to rethink scientific and academic careers from a gender equality perspective. A pioneering initiative to transform academic institutions profoundly and sustainably.

Promoter (PI)Prof. Carmela Aprile is also a member of the NISM and IRDENa.Research LogisticianDr. Luca Fusaro ResearchersChloé CélisGérard DubuissonAlwyn DsouzaNegien HeydariMeme Ngueteu TongnangVittorio MarsalaAnthony MorenaNicolas PierardMartina SaittaBenedetto TaorminaZoé Vanboucq In the team image from left to right: Top: Benedetto Taormina, Luca Fusaro, Vittorio Marsala, Gerard DubuissonMiddle: Alwyn Dsouza, Chloe Celis, Nicolas Pierard, Zoe Vanboucq, Anthony MorenaBottom: Meme Ngueteu Tongnang, Negien Heydari, Carmela Aprile, Martina Saitta

What is "care"? What is health? This opening conference will be an opportunity to explore the contemporary challenges linked to health, care and the transformations needed for a sustainable, inclusive future.Speakers:Barbara Stiegler, philosopher at Bordeaux-Montaigne UniversityGaël Giraud sj, economist and theologian, researcher at CNRS and Doctor Honoris Causa of UNamurFree conference as part of the partnershipRegistration required. Please make sure you select the February 20 conference. I reserve my place Find out more about the Chair's conferences

"Urban history and social tensions: the Southern Netherlands before 1302", is the theme of this 2024-2025 Francqui Chair of the UNamur History Department. Plus d'infos sur la Chaire...

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