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September 15, 2025 A program for all09h00 | Welcome at Pedro Arrupe (Rue de Bruxelles, 67 - 5000 Namur).11h00 | Back-to-school celebration at Saint-Aubain Cathedral (Place Saint-Aubain - 5000 Namur) then welcome students by the Cercles. Daily prices Tuesday, September 16, 2025For Block 1 (Local I02)* - Welcome session08H30: Presentation of the Dean/Vice-Dean (Anthony Cleve - Marie-Ange Remiche)09H00: Presentation of the IS (Cédric Aerts)09H20: Presentation of the pedagogical coordinator (Fanny Boraita)09H40: Presentation of the academic advisor (Géraldine Grandjean)For students in the first 60 credits of the bachelor's degree (only first-time students*)10H40 (Local I02): passport to the "mathematics" baccalaureate(Florence Henry)Attendance at these sessions is compulsory.For UES** and new Master's students (Local I33) - Welcome session14H00: Presentation of the Dean/Vice-Dean (Anthony Cleve - Marie-Ange Remiche)14H30: Presentation of the IS (Cédric Aerts)14H50: Presentation of the pedagogical coordinator (Fanny Boraita)15H10: Presentation of the academic advisor (Géraldine Grandjean)15H30: Presentation of CSLabs (Hugo Raskin)Wednesday, September 17, 2025For Block 1 (Local I02)*<13H00: Passport "lire et comprendre un texte universitaire" (Alexandre Libioul)Attendance at this session is compulsoryFor all students: Classes start (see schedule)Permanences PAE17/09, 10h40-11h40 for NON-primo-arrivants from bloc1: Configuration PAE (salle académique)17/09, 09h00-10h00 for bacheliers from bloc2 and 3: Configuration PAE (salle académique)18/09, 09h00-10h00 for masters: Configuration PAE (salle académique)* First-time students : Students enrolled for the first time in a computer science study program at UNamur, whether they are coming from secondary school, a high school, another university or enrolled in staggered-schedule courses. ** UES: Unités d'enseignement supplémentaires au master (année passerelle) Staggered timetable courses Bachelor and Master 60Saturday, September 13, 2025 - Classes startFor Primo-arrivant students (Block 1 and UES):08:30: Breakfast welcome (coffee, pastries) in the faculty hall.09h00: Presentations by the Vice-Dean, Madame Marie-Ange REMICHE, the Academic Advisor, Madame Géraldine GRANDJEAN, the IT Correspondent, Monsieur Cédric AERTS and the Secretary, Madame Benjamine LURQUIN. Auditorium I02 (first floor of the Faculty of Computer Science). Attendance is compulsory. The welcome session presentation will be posted on the BVE afterwards.10:00 am: Start of classes for all students. Master's specialization in IT and innovation: business analysis and it governance For students concerned by prerequisite coursesSaturday, September 13, 2025 at 9:00 am, seminar I22 on the 2nd floor of the Faculty.For all new studentsCourses start on Friday, October 17 and Saturday, October 18, 2024 at the Academic Hall on the 4th floor of the Faculty of Computer Science, from 8:30 am. And before school starts? In addition to the cpreparatory courses scheduled between mid-August and early September, the University of Namur is offering newcomer students the chance to discover their Faculty as well as the campus, and to take part in a services forum during 2 integration days.Exclusively aimed at students completing their secondary education (newcomers), these preparatory courses are tailored to each university program.Preparatory courses: from August 18 to 28, 2025 for computer science studentsFind out more about the schedules for the various sessions and register for the preparatory courses... NEW! To help you make the most of your first year at the University, take part in our integration days!Friday afternoon, September 12 - reserved for newcomers, free, registration requiredTour of your Faculty and campus (integrated into the preparatory courses if you are enrolled)Barbecue and evening party You must register for both activities, even if you are enrolled in the preparatory courses! The registration link will be available soon.Saturday, September 13, 10am-4pm - open to all - free, open accessServices forum: presentation of student services (sports, culture, commitment, social cell, ...), project kots and activities organized on campus...

The department is organized through the Departmental Council, which brings together all the department's professors and research assistants.The management of Bachelor's and Master's programs is handled by the Program Managers. Among other things, they are responsible for validating annual student programs (PAE) as well as admissions.

The F.R.S.-FNRS published on June 25, 2024, the list of winners of the various doctoral and postdoctoral mandates. Among them, 16 researchers from the University of Namur have obtained funding.

Abstract Deep learning has revolutionized computer vision in recent years and has been applied to many fields. This thesis focuses on medical endoscopy, where deep learning can assist physicians in many tasks, such as navigating the lungs during bronchoscopy, assisting in the detection of lung diseases, detecting Crohn's disease from capsule endoscopy (PillCam), or automating the detection of polyps during colonoscopy procedures.This thesis, entitled From Pixels to Practice: Deep Learning for Endoscopy, explores how modern neural networks and learning paradigms can improve visual understanding in endoscopy, with the aim of contributing to computer-aided detection (CAD) systems that can be integrated into clinical workflows.This work follows an article-based structure and links methodological advances in geometric and temporal modeling to techniques for handling data scarcity and imbalance, as well as to the practical and clinical implications of deep learning for lung tumor detection, both from a clinical and practitioner perspective. The first part of the manuscript provides a common foundation for all subsequent parts. First, we present a general introduction to the field of machine learning in Chapter 1, explaining concepts such as classification, loss functions, and artificial neural networks. Next, Chapter 2 focuses on the field of deep learning for computer vision, detailing the main vision tasks, the concept of convolutional neural networks, ResNet, and U-Net. Finally, Chapter 3 describes medical imaging, with a focus on computed tomography (CT) scans and optical imaging. The second part of the thesis focuses on learning spatio-temporal representations. In Chapter 4, we use deep neural networks combining spatial features and temporal recurrence to address the problem of detecting the bronchial carina, an anatomical landmark that helps doctors navigate the lungs. By evaluating classification (ResNet-50), segmentation (nnU-Net), and recurrent (GRU) models on a bronchoscopy dataset we created, the study highlights the benefits of combining information from segmentation masks and temporal features. Chapter 5 continues the segmentation task by analyzing the extent to which rotation-equivariant U-Nets, based on E(2)-CNNs with C4, C8, and D4 symmetry groups, can improve performance when the orientation of objects in the image is arbitrary. Together, these chapters show how temporal and geometric modeling capture complementary aspects of visual structure. They further highlight that data imbalance and scarcity are recurring problems in deep learning. The third part studies learning in situations of data scarcity and imbalance. First, Chapter 6 explores supervised contrastive pre-training [1] on large, domain-close endoscopic datasets (Hyper-Kvasir [2], LDPolyp [3]), which is then transferred to smaller, disease-specific data (Crohn-IPI [4]). This methodology performs better than pre-training on ImageNet or based on cross-entropy, highlighting the value of domain-specific contrastive representations. Next, Chapter 7 introduces Mask-Aware Cropping (MAC), a new data augmentation technique that mitigates pixel-level imbalance in segmentation. On various datasets with varying imbalance regimes (URDE [5], Kvasir-SEG [6], HAM10000 [7]), MAC consistently improves Dice and IoU metrics under conditions of extreme imbalance. Together, these methods form a data-centric framework for effective learning when annotations are scarce or unevenly distributed. The fourth part of the thesis focuses on deep learning in the operating room. Chapter 8 proposes a first model (ResNet-50) for the visual detection of lung cancer in bronchoscopy, trained on real, in-vivo data. The model outperforms junior physicians, while remaining inferior to experts. This result shows that CAD systems for lung cancer detection are promising. Chapter 9 extends this work by evaluating the usability of a CAD system based on a deep learning model. Combining probability indices, temporal graphs, and saliency map overlays, a multicenter evaluation with 10 physicians is conducted. The tool received favorable feedback, with high usability (SUS score of 80.5 [8]) and strong clinical acceptance. Beyond endoscopy, the results concerning rotation equivariance and pixel imbalance can be generalized to other fields such as microscopy, dermatology, and aerial imaging. This shows that the proposed methods are applicable to visual learning under structured variability and limited data constraints.Keywords: machine learning, computer vision, medicine, endoscopy, convolutional neural networks, segmentation, recurrent models, equivariance.  Jury Prof. Bruno Dumas - University of NamurProf. Frénay Benoit - University of NamurProf. Schobbens P-Y. - University of NamurProf. Beuls Katrien - University of Namur,Dr. Benjamin Mertens - Lys MédicalProf. Oramas Mogrojevo José Antonio - University of AntwerpDr. Mancas Matei - University of Mons Register

Dear Graduates,In keeping with tradition, we are pleased to invite you to the graduation ceremony for the 2025 graduates of the Master's in Management Sciences and Management Engineering programs.This event will take place in two parts on Friday, April 24.First, the graduation ceremony will be held in academic robes, which will be provided to graduates, at the Vauban Amphitheater of the University of Namur. This will be followed by a walking dinner for graduates, their families, and staff members, which will take place at the Arsenal.The UNamur School of Management is particularly keen to invite you to this event, which marks the culmination of several years of effort, both for the graduates and their families and for the members of the Faculty.The evening will unfold as follows:6:00 p.m.: Distribution of gowns to graduates and rehearsal of the ceremony with the Director of the UNamur School of Management, Prof. Corentin BURNAY. Graduation photo. [for graduates only]7:00 p.m.: Welcome by the Director of the UNamur School of Management, Prof. Corentin BURNAY, and the Dean of the Faculty, Prof. Pietro ZIDDA7:10 p.m.: Speech by the Vice-Rector for Digital Transformation, Quality and Communication, Prof. Stéphane FAULKNER7:25 p.m.: Speech by the Class Patron, Ms. Marie COLLIN (Class of 2005), Head of Digital Transformation, Wanty Group7:45 p.m.: Speech by the program director, Prof. Michel AJZEN7:55 p.m.: Remarks by EMCP Alumni, Ms. Émilie PANOZZO (Class of 2024)8:00 p.m.: Announcement of results and graduation ceremony in academic robes8:30 p.m.: Walking dinnerRegistration for the graduation ceremony is mandatory and will be free of charge for both graduates and their guests. The walking dinner will be free for graduates. However, guests wishing to attend will be asked to contribute €25 per person. We would like to emphasize that participation in the walking dinner is optional for both graduates and their guests, and that the contribution requested only covers part of the costs associated with organizing the walking dinner.We look forward to seeing you there and thank you in advance for your attendance. Yours sincerely,Prof. Pietro Zidda - Dean of the EMCP FacultyProf. Corentin Burnay - Director of the UNamur School of Management Registrations Registration deadline: April 15 at the latest. Registration for graduates and accompanying persons Registration for UNamur staff members Parking map The EMCP Faculty parking lot will be open and accessible via Grandgagnage Street. 

In late November 2024, UNamur hosted the 23rd BENEVOL Congress, an annual research seminar that provides an opportunity for international researchers to meet and discuss new ideas, important issues and cutting-edge research in the field of software engineering, maintenance and evolution.

In the heart of the magnificent Haugimont forest reserve, bachelor's and master's students in economics at the University of Namur took part in an unprecedented workshop, blending economic thinking and ecology.

Stanford University has published a prestigious ranking that highlights the most influential researchers in a wide range of scientific fields. The list, based on bibliographic criteria, aims to provide a standardized means of identifying the world's scientific leaders. It is one criterion among others for assessing the quality of scientific research. Twelve researchers from the University of Namur are among them!

The morning will be devoted to presenting the detailed results of the study and putting them into perspective in the broader context of current economic, social, and environmental issues.The afternoon will give the floor to stakeholders in the field through testimonials and round tables, illustrating how the tourism sector is adapting to the challenges posed by climate change. Registration and detailed program here: Walloon tourism in the face of climate change: between risks and opportunities (January 26, 2026): Home · UNamur Event (Indico) 

Abstract Since its emergence in 1996, the Asian H5 Goose/Guangdong (Gs/Gd) lineage has circulated widely in poultry in southern China, spilling over to wild birds by 2002. Wild bird infections facilitated global dissemination via migratory waterfowl and repeated spillback into poultry, challenging the view that HPAI primarily arises from LPAI mutation. Subclade 2.3.4.4b emerged in Asia in 2013, reached Europe in 2016, caused recurrent epizootics, diversified into multiple genotypes, became dominant in wild birds, and shows zoonotic potential.This thesis investigates critical knowledge gaps regarding H5Nx subclade 2.3.4.4b in poultry: (1) early within-flock spread after punctual introduction in chickens, particularly during the first European epizootics; (2) influence of pre-existing immunity on silent circulation; (3) limitations in diagnostic throughput during epizootic peaks; (4) potential of environmental surveillance, including air and dust sampling; and (5) impact on egg contamination and the reproductive tract, relevant for food safety and zoonotic risk.Four main objectives were addressed: (1) development of an experimental model simulating punctual introductions and spread, comparing 2017 and 2020 strains and assessing pre-existing immunity; (2) enhancement of diagnostic capacity via alternative sampling, semi-automated RNA extraction, and high-throughput processing; (3) evaluation of air and dust sampling for virus monitoring under experimental and field conditions; and (4) assessment of egg contamination risk. Alternative sampling and environmental monitoring were also applied to Newcastle disease virus as a comparative notifiable pathogen. Jury Prof. Tuci Elio - University of Namur, BelgiumProf. Anthony Cleve - University of Namur, BelgiumProf. Pierre-Yves Schobbens - University of Namur, BelgiumProf. Alvaro Gutierrez - Universidad Politecnica de Madrid, EspagneMr. Fabian Duchesne - Qualitics SPRLProf. Anders Lyhne Christensen - SDU, Denmark Evènement public et gratuit - Inscription obligatoire Je m'inscris

Jury PromotersProf. Anthony Simonofski - University of NamurProf. Corentin Burnay - University of NamurOther members of the juryProf. Annick Castiaux - University of NamurProf. Lieselot Daneels - Ghent UniversityProf. Ida Lindgren - Linköping UniversityProf. Benoît Vanderose - University of NamurChair of the juryProf. Sophie Béreau - University of Namur