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September 14, 2026 | Program for Everyone 9:00 a.m. | Welcome at Pedro Arrupe (Rue de Bruxelles, 67 - 5000 Namur).11:00 a.m. | Back-to-school celebration at Saint-Loup Church—to be confirmed, rue du Collège, 5000 Namur—followed by a welcome for students by the student clubs. September 15, 2026 | Faculty of Science Welcome Sessions Hosted by the Faculty in S01 (Dean and Associate Dean)Sessions 1: Biology and Veterinary Science from 8:30 a.m. to 9:30 a.m.Block 1: Math, Physics, Chemistry, and Geo² (Geology and Geography) from 10:00 a.m. to 11:00 a.m.Welcome sessions hosted by the departmentsMathematics: at 11:00 a.m. in Room S09, followed by a complimentary lunch in the ground-floor lobby of the Faculty of SciencesPhysicists: starting at 2:00 PM in S05Chemists: starting at 11:15 a.m. in CH12, followed by lunch (location to be confirmed / usually in the CH12 lobby)Geo²: starting at 11:00 a.m. in the Sciences Academic Room—5th floor of the Sciences buildingBiology: 9:35 a.m. – Tour of the lab rooms, departing from the Medicine Courtyard; lunch break – Sandwiches provided by the Biology Department in the Medicine Courtyard; 2:00–3:30 p.m. – Welcome by the Chair of the Biology Department in CH01VT: Starting at 9:30 a.m., welcome session hosted by the department: Information is available on the WebCampus pages SC2026 and SVET B002, as well as on the Department of Veterinary Medicine’s Facebook page.Please note that these welcome sessions are for first-year student newcomers.Separate orientation sessions for returning students are also scheduled at other times.  Some courses will begin as early as Tuesday, September 15. Schedules are currently being finalized and will be available as soon as possible on WebCampus - SCIEINFO, the primary platform for disseminating administrative information within the Faculty of Sciences.  And before school starts? Give yourself the best possible chance—enroll in preparatory courses!Preparatory courses allow you to get a taste of university-level education by reviewing the subjects essential to your future program of study.Designed exclusively for students graduating in 2026, these preparatory courses—scheduled between mid-August and early September—are tailored to each university program.Learn more about the schedules for the different sessions and register for the preparatory courses...  To make the most of your first semester at the university, be sure to attend the orientation days!The orientation days will take place on September 10 and 11, 2026.On the agenda: a tour of the campus and the city, a student housing fair (KàPs), themed workshops (student rights, digital tools, budgeting, student engagement, sports, and more), a barbecue, and a super-enthusiastic team ready to help you discover life on campus!Thursday, September 10: 7:30 a.m. – Student check-in; 8:30 a.m.–12:40 p.m. - Workshops for students; 12:40 p.m. – Lunch – Barbecue available by registration (€3.60 per sausage sandwich / falafel sandwich) and a bar run by the AGE; 2:00–6:00 p.m. - Project-based student housing fair; 8:30 p.m.–1:00 a.m. – Bunker reserved for first-year studentsFriday, the 11th: 8:30 a.m.–12:30 p.m. - Workshops for students; 12:30 p.m. - Lunch; 2:00 p.m. - Depending on the faculty: organized by the faculty or open to all.Reserved for new students - Information will be sent after registration at UNamur.   

On June 23, 2026, the F.R.S.-FNRS published the list of recipients of various doctoral and postdoctoral fellowships and Télévie projects (cancer-focused research). Among them, numerous researchers from UNamur received funding.

Recognized as a leading research conference in the field of organic electroluminescence and light-emitting devices, the ICEL conferences have generally been held every two years since their inception in Fukuoka, Japan, in 1997, by Professor Tetsuo Tsutsui. A look back at ICEL2026, the 15th conference of its kind, held at UNamur. 

Join a community of innovators, explore cutting-edge technologies, and get ready to shape the digital world of tomorrow! Ready to code your success? Welcome to the Faculty of Computer Science at UNamur, a pioneer in university-level computer science education in Europe. 

Abstract Predictive maintenance (PdM) is increasingly being used to improve system reliability, reduce downtime, and optimize operating costs in complex industrial environments through anomaly detection. As industrial systems become more complex, with components interacting with one another and monitored by ever-expanding sensor networks, anomaly detection faces new methodological challenges. In particular, there is a gap in the literature regarding anomaly detection using traditional machine learning (ML) methods based on a Single Label Classification (SLC) approach, which is unsuitable when multiple failures can occur simultaneously.Traditional anomaly detection approaches based on ML methods using an SLC formulation assume that each observation belongs to a single anomaly category. This assumption does not hold when multiple failures occur simultaneously on the same equipment, resulting in a loss of information. We begin by illustrating this limitation through a concrete example showing that using an SLC approach instead of a multi-label formulation degrades the classification of simultaneous anomalies. To address this issue, anomaly detection is reformulated as a Multi-Label Classification (MLC) problem, enabling the detection of multiple failures within a single time step. Following this reformulation, the issue of selecting multi-label classifiers suited to the context of Predictive Maintenance (PdM) must be examined. The general conclusion from the literature is that the performance of classifiers depends heavily on the context and that while there are many detection methods, none is universally dominant. Although in-depth comparative studies exist in the field of MLC, datasets from complex systems are absent from these comparisons, even though they exhibit specific characteristics such as multivariate time-series structures, significant label imbalance, and complex interactions between components.To address this gap, a structured and reproducible evaluation protocol is proposed to evaluate eight state-of-the-art ML methods in an MLC framework across three public industrial datasets. The results confirm that the performance of classifiers depends heavily on the characteristics of the dataset and that no single method consistently outperforms others across all scenarios. However, conducting this type of comparison for each new industrial context is costly in terms of time, computational resources, and data requirements, which limits its feasibility for real-world industrial deployment. The thesis also addresses this issue through dimensionality reduction and variable selection methods. PM systems generate large multivariate datasets in which only a subset of the variables is actually relevant for anomaly detection. A self-adaptive evolutionary strategy is proposed to perform wrapper-style variable selection and obtain a subset containing only the most informative variables. Experimental results show that reducing the variable space improves computational efficiency and, in most cases, anomaly prediction performance. A comparison of the proposed method with state-of-the-art metaheuristic approaches on three PdM datasets and five anomaly detection methods confirms its competitiveness in terms of predictive performance and the optimal size of the selected feature subset. Finally, feature space reduction not only optimizes the resources required for detection but also reduces the number of signals that technicians must analyze during root cause investigations. This simplification aims to strengthen confidence in the system. Finally, the thesis addresses the practical aspects of deploying detection methods in complex systems. Among these, there is a lack of trust and transparency among maintenance technicians and decision-makers. An analysis of the interpretability and robustness of anomaly detection methods is provided to directly contribute to their deployment in real-world conditions. First, the proposed variable selection strategy is evaluated on a public PdM dataset using SHAP-based explanations to verify the consistency between the selected variables and those identified as the most important by tools dedicated to interpretability. The results show that the selected variables are consistent with those identified as the most important by these tools. Furthermore, visual analysis of the most influential variables reveals that anomalies are associated with a limited and well-defined subset of sensor signals, which helps improve transparency and strengthen confidence in automatic detection systems. At the same time, it is necessary to conduct a study of the robustness of multi-label classifiers in controlled sensor degradation scenarios, including different types of degradation and various levels of severity. The results show that the performance of classifiers can deteriorate significantly, particularly in the presence of gradual drifts. To mitigate this effect, introducing sensor degradation during training appears to be a relevant strategy. Finally, this thesis proposes a structured framework for multi-label anomaly detection in complex systems, covering classification methods, feature space optimization, interpretability, and robustness. For each of these aspects, the thesis adopts an industrial perspective and takes into account the differences between controlled laboratory experimental conditions and the additional constraints of real-world complex environments. The jury Prof. Katrien Beuls - University of Namur, BelgiumProf. Elio Tuci - University of Namur, BelgiumProf. Patrick Heymans - University of Namur, BelgiumProf. Jenni Raitoharju - University of Jyväskylä, FinlandMr. Fabio Pinna - Telespazio, BelgiumMr. Vito Trianni - ISTC-CNR, Italy Sign me up

Défense de thèse - Antoine Hubermont 04/09/2026 à 15h à l'auditoire PA02. Name First name E-mail address Will attend the reception following the defense Yes ( optional ) No ( optional ) Need a parking sticker Yes ( optional ) No ( optional ) Would like a certificate for defense assistance Yes ( optional ) No ( optional ) In order to process your request, you must complete all fields marked "optional". When you submit this form, the completed data will be transmitted to UNamur and used to process your request. Learn more about your data protection and your rights This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Program Overview This event will take place over two exciting days, featuring a diverse program designed to offer a dynamic and interactive experience for all participants. The entire symposium will be conducted in English.On Wednesday, December 9, and Thursday, December 10, two days of scientific and technical sessions will be dedicated to the topics of alternative proteins, the microbiome, and functional ingredients.On Wednesday, December 9, there will be a public lecture (in English) presented by Dr. Patrice Cani on the topic “Nourishing Your Gut: Nutrition, Microbiota, and Health.”For experienced researchers and group leaders, we are organizing a third day on December 11 dedicated to international collaboration, including laboratory visits and a workshop focused on establishing structured collaborative projects. Separate registration is requiredOverview of the ThemesThis symposium is structured around the three projects in the FoodWal portfolio, while pushing their boundaries and framing them within a “One Health” approach.The session titled “Building Sustainable Value Chains for Alternative Proteins: from protein sources to the development of healthy food products” will provide an opportunity to present scientific and technological advances in the creation and characterization of alternative protein sources and products, as well as socioeconomic perspectives on the development, maintenance, and growth of sustainable value chains for alternative proteins.The session titled “Research on the Microbiome and Microbiotics: Innovation in Nutrition for Better Health” will present scientific advances in the characterization, understanding, and modulation of the microbiome, as well as cutting-edge technologies aimed at developing innovative microbiotics.Finally, the session titled “Functional Ingredients and Bioactive Compounds: Food Science and Biotechnology for Health” will focus on scientific advances in the identification, characterization, and understanding of the mechanisms of action of functional ingredients, as well as cutting-edge technologies designed to develop and produce innovative functional ingredients. More information on the FoodWal website Je m'inscris

In human societies as well as in ecosystems, opportunistic behaviour does not always prevail. The scientific article, fruit of the collaboration between research teams in India, Slovenia and Belgium, has just been published in the prestigious PNAS journal.

September 14, 2026 What's on the schedule for everyone9:00 a.m. | Welcome at Pedro Arrupe, Rue de Bruxelles 67, 5000 Namur9:30 a.m. | Ceremony at Pedro Arrupe 11:00 a.m. | Back-to-school celebration at Saint-Loup Church—to be confirmed, rue du Collège, 5000 Namur—followed by a welcome for students by the student clubs. Today's Rates September 15For Block 1 (Room I02)* - Welcome Session10:40 a.m.: Introduction by the Dean/Associate Dean (Anthony Cleve - Marie-Ange Remiche)11:10 a.m.: Introduction by the academic advisor (Géraldine Grandjean)11:30 a.m.: Introduction by the Academic Coordinator (Fanny Boraita)11:50 a.m.: Introduction to the Student Services Office (Cédric Aerts)12:10 p.m.: Introduction to CSLabs (Hugo Raskin) For students in the first 60 credits of the bachelor’s program (first-year students only*) – Room I022:00 p.m.: Introductory session for the English courseAttendance at these sessions is mandatory.For UES** students and new Master’s students (Room I30) – Welcome session2:00 p.m.: Introduction by the Dean/Associate Dean (Anthony Cleve – Marie-Ange Remiche)2:30 p.m.: Introduction by the academic advisor (Géraldine Grandjean)2:50 p.m.: Introduction by the Academic Coordinator (Fanny Boraita)3:10 p.m.: Introduction to the Student Services Office (Cédric Aerts)3:30 p.m.: Introduction to CSLabs (Hugo Raskin) September 16 For Block 1 (Room to be determined—check the schedule)*8:30 a.m.: Mathematical Foundations for Computer Science course (M. De Vleeschouwer)Attendance at this session is mandatoryFor all students: Classes begin (see schedule)Information session and PAE setupSeptember 18: Bachelor’s Program, Block 1 (non-first-year students): 1:00–2:00 p.m. – Academic HallSeptember 17: Bachelor’s Program, Blocks 2 and 3: 1:00–2:00 p.m. – Academic HallSeptember 16: MA1 and UES (non-first-year students): 1:00–2:00 p.m. in I30* First-time students: Students enrolled for the first time in a computer science program at UNamur, whether they are coming from high school, a college, another university, or are enrolled in a staggered-schedule program. ** UES: Additional course units for the master’s program (bridge year) Staggered-Schedule Classes Bachelor's and Master's 60Saturday, September 12—Classes BeginFor First-Year Students (Block 1 and UES):9:00 a.m.: Presentations in Room I02 by the Associate Dean, Ms. Marie-Ange REMICHE; the academic advisor, Ms. Géraldine GRANDJEAN; and the IT coordinator, Mr. Cédric AERTS. Lecture Hall I02 (ground floor of the School of Computer Science). Attendance at this session is mandatory. The presentation from the orientation session will be posted on the BVE afterward.10:00 a.m.: Classes begin for all students Specialized Master's Degree in Computer Science and Innovation: Business Analysis and IT Governance For students who need to take prerequisite coursesFriday, September 18, at 9:00 a.m., Seminar Room I22 on the 2nd floor of the Faculty building.For all new studentsClasses begin on Saturday, October 16, in the academic hall on the 4th floor of the School of Computer Science, starting at 8:30 a.m. And before school starts? Give yourself the best possible chance—enroll in preparatory courses!Preparatory courses allow you to get a taste of university-level education by reviewing the subjects essential to your future program of study.Designed exclusively for students graduating in 2026, these preparatory courses—scheduled between mid-August and early September—are tailored to each university program.Learn more about the schedules for the different sessions and register for the preparatory courses...  To make the most of your first semester at the university, be sure to attend the orientation days!The orientation days will take place on September 10 and 11, 2026.On the agenda: a tour of the campus and the city, a student housing fair (KàPs), themed workshops (student rights, digital tools, budgeting, student engagement, sports, and more), a barbecue, and a super-enthusiastic team ready to help you discover life on campus!Thursday, September 10: 7:30 a.m. – Student check-in; 8:30 a.m.–12:40 p.m. - Workshops for students; 12:40 p.m. – Lunch – Barbecue available by registration (€3.60 per sausage sandwich / falafel sandwich) and a bar run by the AGE; 2:00–6:00 p.m. - Project-based student housing fair; 8:30 p.m.–1:00 a.m. – Bunker reserved for first-year studentsFriday, the 11th: 8:30 a.m.–12:30 p.m. - Workshops for students; 12:30 p.m. - Lunch; 2:00 p.m. - Depending on the faculty: organized by the faculty or open to all.Reserved for new students - Information will be sent after registration at UNamur.   

The PDID symposium is finally back in 2026! Organized every two years by the Belgian Biophysical Society (BBS) and the Laboratoire de Chimie Physique des Biomolécules (CPB), the PDID symposium is an intimate and friendly event for exchanging new ideas and meeting leading experts in the field in the quintessentially Belgian city of Namur, the capital of Wallonia, located at the confluence of the Meuse and Sambre rivers.We welcome participants from any scientific background who are particularly interested in delving into the world of biomolecular dynamics and exploring their unique behaviors, including structural transitions, interaction networks, protein-ligand interactions, self-assembly, amyloid fibrillation, condensation, phase separation, and phase transitions. Through the lens of biophysics, biochemistry, bioinformatics, and molecular biology, the program aims to cover both experimental and computational approaches for characterizing such intricate and elusive systems in health-related, biotechnological, and biomaterial contexts. Detailed program and registration here

JuryProf. Steve LANNERS (UNamur), ChairProf. Johan WOUTERS (UNamur), SecretaryProf. Pierre FRANCOTTE (ULiège)Dr. Marie HAUFROID (UCB)Prof. Lionel POCHET (UNamur)AbstractCurrently, Mycobacterium tuberculosis remains the second deadliest infectious agent in the world, responsible for 1.6 million deaths in 2021. The burden and cost of current treatment (6 months and 4,000 euros), coupled with the alarming emergence of antibiotic-resistant strains, underscore the absolute urgency of developing new therapeutic molecules. This study focuses on the Mycobacterium tuberculosis phosphoserine phosphatase (MtSerB2), an enzyme essential for serine biosynthesis and vital to the pathogen’s survival. Furthermore, this protein plays a key role in host invasion (through its interactions with the NF-κB factor and the cellular cytoskeleton), making MtSerB2 a prime therapeutic target for the development of new, potent anti-tuberculosis drugs.One of the innovative strategies explored in this thesis is based on destabilizing the protein’s structure (disruption of protein structure). The goal is to design a molecule capable of disrupting the enzyme’s conformation, thereby causing it to lose its catalytic activity. This new class of molecules is expected to exhibit significantly higher selectivity for MtSerB2 compared to its human homolog, human phosphoserine phosphatase (hPSP).To this end, the Mycobacterium avium phosphoserine phosphatase (MaSerB) was initially used as a model system, justified by its 83% sequence identity with MtSerB2 and its propensity to crystallize rapidly. Initially, a virtual screening of drugs already available on the market was conducted to identify potential inhibitors of MaSerB. Enzymatic assays based on malachite green detectionwere then performed to evaluate the inhibitory activity of the various candidates. The results demonstrated increased selectivity of these compounds for dimeric proteins (MtSerB2 and MaSerB) compared to the human enzyme hPSP.Notably, subsequent enzymatic assays conducted directly on MtSerB2 revealed response profiles that differed from those observed with the MaSerB model. To elucidate the molecular basis of these differences, the structure of the protein in its ligand-bound state is currently being investigated. To this end, protein-inhibitor complexes have been crystallized and will be analyzed by X-ray diffraction.

JuryProf. Carine MICHIELS (UNamur), ChairProf. Anne-Catherine HEUSKIN (UNamur), SecretaryProf. Stéphane LUCAS (UNamur)Dr. Rudi LABARBE (IBA)Prof. Joao SECO (German Cancer Research Center)Prof. Simon GALAS (University of Montpellier)AbstractRadiotherapy is one of the most widely used treatments for cancer and plays a central role in modern oncology. While technological advances have greatly improved the precision of radiation delivery, damage to healthy tissues surrounding the tumor remains a major limitation. In recent years, an innovative approach known as FLASH radiotherapy has attracted considerable attention. Unlike conventional radiotherapy, FLASH delivers the therapeutic radiation dose within a fraction of a second using ultra-high dose rates. A growing body of evidence suggests that this approach may reduce radiation-induced side effects in healthy tissues while maintaining the ability to control tumours. However, the biological mechanisms responsible for this protective effect remain poorly understood.This thesis addressed two key challenges in FLASH research. The first was the development and characterization of an experimental platform capable of generating ultra-high dose rate irradiations using the ALTAÏS accelerator at the University of Namur. This work involved designing irradiation systems, validating beam dosimetry, and establishing robust experimental protocols to ensure accurate and reproducible exposure conditions. The second objective was to introduce a new biological model for FLASH investigations: the microscopic nematode Caenorhabditis elegans (C. elegans). This organism offers several advantages, including a short life cycle, ease of handling, low cost, and the conservation of many fundamental biological processes shared with higher organisms. These characteristics make it an attractive complementary model for studying radiation responses and exploring the mechanisms underlying the FLASH effect.This thesis demonstrated the suitability of C. elegans as a model for investigating biological responses to ultra-high dose rate irradiation. Studies of developmental and neurobiological endpoints across multiple irradiation conditions highlighted its potential for mechanistic FLASH research. Together, these findings provide valuable tools to advance our understanding of the FLASH effect. More broadly, they contribute to the development of safer radiotherapy strategies aimed at reducing treatment-related toxicity and improving patient quality of life.