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Detecting a failure before it occurs: that is the goal of the research being conducted by Antoine Hubermont, a doctoral student at UNamur. This project, named Monsater, is funded by SPW Research as part of the Win4Doc program in collaboration with the space company Telespazio Belgium. It addresses a key strategic challenge: ensuring the reliability of complex systems, particularly in the space sector. 

September 14, 2026 What's on the agenda for everyone9:00 a.m. | Welcome at Pedro Arrupe (Rue de Bruxelles, 67 - 5000 Namur).11:00 a.m. | Back-to-school celebration at Saint-Aubain Cathedral (Place Saint-Aubain - 5000 Namur), followed by a welcome for students by the student clubs. MSFE (Master's Degree in Teacher Education) September 15 Orientation Session: 6:10 p.m. to 7:10 p.m., at the B&LC, MEUSE Room, 5 Rue Godefroid, 5000 Namur. Anyone interested in the program—whether currently registering or already enrolled—is welcome to attend. The MSFE is a 60-credit program offered on a staggered schedule, primarily on Tuesdays and Thursdays (evenings) and all day on Saturdays. This specialized master’s degree is specifically aimed at future (or current) faculty members at universities and higher education institutions for the arts who are responsible for course units related to didactics, pedagogy, and training through practice in master’s programs in education (Sections 1, 2, 3, 4, and 5, who must obtain this degree within six years of their first appointment to a position for which this master’s degree is required. It will also be of interest, as part of their professional development, to all teacher educators in continuing education, whether they work within inter-network continuing education organizations or networks, or as independent professionals.For more information about the program Schedule: available at https://horaires.unamur.be, under the Student tab / Faculty of Education / MSFE Contact: gaelle.chapelle@unamur.be and secretariat.fasef@unamur.be  CAPAES September 15 Orientation Session: 7:10 p.m. to 10:10 p.m., at the B&LC, SAMBRE Room, 5 Rue Godefroid, 5000 Namur. The CAPAES program is held on a staggered schedule on Tuesdays and Thursdays (in the evening). The CAPAES program is intended exclusively for teachers currently employed at a teacher training college or in adult education who need to obtain a teaching credential appropriate for higher education. For more information on the program Schedule: available at https://horaires.unamur.be, under the Student tab / Faculty of Educational Sciences / CAPAES Contact: gaelle.chapelle@unamur.be and secretariat.fasef@unamur.be  MAPEMASS (Master’s Degree in Professional Support) Information SessionOn Wednesday, August 26, 2026, from 6:00 p.m. to 7:00 p.m., an information session will be held to present the program, its objectives, and its structure.You can attend either in person at the FaSEF offices, located at 14 Place Saint-Aubain in Namur, or remotely via this link: click here to join the meeting.Orientation SessionThe orientation session will be held on Thursday, September 10, from 6:10 p.m. to 9:10 p.m. in Room L33 (3rd floor of the Faculty of Philosophy and Letters building, 1 rue Joseph Grafé, 5000 – Namur).Students who are currently enrolling or are already enrolled are welcome to attend.Please note that the Registration Office will be available from 5:00 PM to 6:00 PM in the same room to assist (prospective) MAPEMASS students who may encounter difficulties with the registration process.Additional InformationMAPEMASS is a 60-credit program offered on a flexible schedule, primarily on Tuesdays and Thursdays (in the evening) and all day on Saturdays.It offers a unique training program and aims to provide trainers, team leaders, counselors, HR managers, and others with the skills to support their teams and the professionals within them.All information about the programSchedule: available at https://horaires.unamur.be, under the Student tab > Faculty of Education Sciences > MAPEMASSContact: secretariat.fasef@unamur.be Master's Degrees in Education (Sections 4 and 5) (date to be confirmed) September 14 from 12:40 p.m. to 2:00 p.m., room BN141.   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.   

Are you considering dropping out of school? Are you wondering about your direction? Do you have a tendency to drop out of your studies? Are you thinking of giving up? The ReBOND course uses the second semester to help you rebuild your career plan. Don't hesitate to contact the reorientation advisor at the University of Namur!

Abstract Deep learning has become a central part of everyday life, and has given us powerful digital tools such as machine translators, voice assistants, and large language models. The Deaf communities, however, benefit verylittle from this progress. Sign languages are full natural languages, but they have no widely used written form, so the large text corpora and pretrained models that support these tools for spoken languages have no direct equivalent. As a result, sign language processing is held back by two related problems: a persistent shortage of annotated data, and a lack of tools to analyze the languages themselves.This thesis focuses on one component of the sign language processing pipeline that has received comparatively little attention: sign language segmentation, the temporal partitioning of a continuous signing video into individual sign units. Segmentation sits between raw video and almost every symbolic task built on top of it, yet it remains poorly understood. The goal of this work is twofold: to advance the segmentation task itself, and to turn sign language processing research into tools that are usable by the Deaf community, with French Belgian Sign Language (LSFB) as the main setting.The central contribution of this thesis is a set of segmentation models. We first study approaches based on recurrent neural networks, and show that their main difficulty lies in the modeling of the transitions between signs, the brief ambiguous movements that separate one sign from the next and that are easily confused with the signs themselves. This insight motivates the Hydra framework, a new approach that detects each sign as a whole unit rather than deciding, frame by frame, whether a sign is being produced. Concretely, instead of classifying every frame, the model predicts the distance from each frame to the nearest sign boundaries, which makes it less sensitive to the ambiguous regions and improves consistently over prior methods. Around this core, we present further contributions: a sign language-to-text dictionary that recognizes signs from an ordinary webcam, supporting work on isolated sign recognition, and a collaborative platform that gathers new sign data as a side effect of everyday use. Together, these contributions narrow the gap between sign language processing research and the people whose language it concerns. Jury Prof. Benoit Frénay - University of Namur, BelgiumProf. Anthony Cleve - University of Namur, BelgiumProf. Katrien Beuls - University of Namur, BelgiumProf. Barbara Hammer - Bielefeld University, GermanyProf. Michèle Gouiffès - Paris-Saclay University, FranceDr. Mathieu De Coster - Ghent University, Belgium I am registering to attend Pierre Poitier's thesis defense

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.   

How can anomaly detection on a production line be improved? It was in response to a very concrete problem encountered at the company where he works that Arnaud Bougaham, with the support of his employer, decided to devote his thesis to this topic at the UNamur School of Computer Science. The goal? To develop an artificial intelligence model that assists operators in detecting anomalies on an industrial production line by reducing false alarms and making the diagnosis easier to understand. This approach also holds promise for deployment in the medical field. 

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Abstract  The design of a content-aware urban traffic management and monitoring system based on a swarm of drones is a challenging problem due to real-time data processing, multi-agent coordination, and decision-making under dynamic conditions. The complexity of this design problem increases with the number of options and the number of cues that traffic controllers must consider when making a decision. The research presented in this thesis addresses this challenge by exploring the potential of swarm intelligence and reinforcement learning-based controllers as design tools for developing adaptive, content-aware decision-making mechanisms for urban traffic management and monitoring using a swarm of drones. The main objective is to design distributed control mechanisms that support the emergence of robust, scalable, and effective autonomous traffic monitoring and management, while proposing and evaluating alternative solutions compared to previous research. In particular, we propose alternative approaches to elements such as the use of predefined correlations between traffic dynamics and driving characteristics, as well as the use of fixed monitoring mechanisms—such as cameras or radar sensors—combined with fixed control strategies.With regard to traffic monitoring, this thesis focuses on the evaluation of swarms of drones for traffic data collection. With regard to traffic management, this thesis focuses on the evaluation of two traffic control methodologies applied to three different urban scenarios. The control methodologies are: the centralized Simultaneous Perturbation Stochastic Approximation (SPSA) and the decentralized Deep Q-Network (DQN). Briefly, in the former method, the agents operating on traffic collectively evaluate the effects of their actions on traffic quality to update their decision-making policy. The latter method requires agents managing traffic to collectively select the best action from among several alternatives based on the estimated quality of those actions.In the centralized SPSA controller, we investigate both single- and multi-agent intersection maps using a cell transition traffic model (CTM) to simulate traffic. The experimental results indicate that the proposed drone-based traffic controller can successfully mitigate traffic jams and coordinate the swarm of drones, despite constraints on individual exploration and limited communications at a single urban intersection. However, in multi-urban intersections, reducing traffic in one direction inevitably creates traffic problems in other parts of the road network due to a lack of coordination among agents managing traffic. The study also highlights the trade-off between adjacent intersections in the traffic pattern, where limiting communication can improve the swarm’s adaptability to changes. The evolved optimization controllers outperform traditional mechanisms—such as fixed traffic timing—in terms of accuracy, speed of convergence, varying vehicle input rates, and variations in the traffic model.In the second scenario, we first evaluate the performance of a centralized SPSA controller under realistic traffic dynamics using the Vissim simulator to simulate road traffic, rather than the CTM model. The aim is to evaluate the controller’s robustness against external disturbances arising from heterogeneous driving behavior. Next, we design and analyze a decentralized DQN controller for a multi-agent intersection map using the Vissim simulator. In this scenario, we extend the investigation to a more complex task in which drones must collectively transfer the collected data between intersections, and each agent selects its timing action based on both its own traffic data and information shared by other agents. The evolved drone-based DQN controllers enable the traffic units to learn about perceptual driving behavior and external disturbances from the Vissim traffic model. The results demonstrate the robustness and scalability of the evolved strategy under various conditions, including different initial conditions and driving behaviors. The swarm of drones also demonstrates adaptability to changes in traffic conditions, although this adaptability depends on the specific nature of the traffic dynamics and the information shared by other agents in the decision-making process.In the final scenario, we investigate multi-intersection traffic control on a simulated real map of the Belgian city of Namur, using a decentralized Deep Q-Network controller for traffic management and a swarm of drones for monitoring. The traffic model incorporates realistic features such as vehicle acceleration and deceleration, lane-changing behavior, and heterogeneous vehicle types. External disturbances, including parking events and pedestrian crossings, are also considered. The results demonstrate that the proposed autonomous traffic management and monitoring system is robust against disturbances and scalable to real urban areas. The study also highlights the effect of using a swarm of drones for data monitoring, compared to the same control strategy employing fixed cameras, in terms of convergence performance.In conclusion, this thesis contributes to the field of intelligent traffic management and monitoring by evaluating the potential of a swarm of drones as an effective tool for designing adaptive and coordinated traffic control and monitoring mechanisms. In the scenario under consideration, the results indicate that drone-based traffic controllers outperform conventional fixed-time traffic control and fixed-camera monitoring systems in terms of robustness, scalability, and adaptability. The findings of this research have implications for developing more resilient and autonomous drone-based traffic management systems capable of making informed collective decisions in complex and dynamic urban environments. Jury Prof. Elio Tuci - University of Namur, BelgiumProf. Laurent Schumacher - University of Namur, BelgiumProf. Marie-Ange Remiche - University of Namur, BelgiumProf. Alexandre Mauroy - University of Namur, BelgiumProf. Seyed Amir Tafrishi - University of Cardiff, UKProf. Ahmad Fakharian - Islamic Azad University, Qazvin, Iran Sign me up

Being a student is quite a job, requiring a varied range of skills! Once every four months, the University of Namur offers its MOOC (free online course) "Aim for success: become a super student" to prepare you for higher studies and perfect your study methods.Become a super student!

Researchers at UNamur have developed a new method that has uncovered 32 previously undetected bugs in some of the most widely used software libraries for training artificial intelligence models. Originating from a master’s thesis, this research has already led to fixes in several software programs used by millions of developers around the world. 

Which track should you choose based on your profile? Are you interested in teaching biology, chemistry, mathematics, physics, or economics in grades 4, 5, and 6 of secondary school?There are two possible paths depending on your degree: Do you have a bachelor’s degree in one of these disciplines (or a related field)?UNamur offers the Master’s in Education, Track 4 (120 credits), a comprehensive program designed to train you in the many facets of the teaching profession. Do you already hold a master’s degree in one of these disciplines (or a related field)?UNamur offers the Master’s in Education, Track 5 (60 credits), a specialized program that allows you to leverage your subject-area expertise in the classroom. Information Session Watch the video below to view a replay of our latest information session: Click here to join the information session 120-credit Master's Programs in Education, Section 4 Do you hold a subject-specific bachelor’s degree and wish to train to teach at the upper secondary level?UNamur offers 120-credit master’s programs in education (Section 4) in several fields, allowing you to supplement your subject-specific degree with teacher training. UNamur is the lead institution for these programs, which are offered as joint degree programs with Hénallux. The Master’s in Music Education (Section 4) is also offered as a joint degree program with IMEP. SVG .cls-1 { fill: #323232; stroke-width: 0px; } Biology See content SVG .cls-1 { fill: #323232; stroke-width: 0px; } Chemistry See content SVG .cls-1 { fill: #323232; stroke-width: 0px; } Mathematics See content SVG .cls-1 { fill: #323232; stroke-width: 0px; } Physics See content SVG .cls-1 { fill: #323232; stroke-width: 0px; } Economics See content SVG Music (staggered schedule) See content The Masters 60 in Education, Section 5 Do you hold a subject-specific master’s degree and want to train to teach in upper secondary school?UNamur offers 60-credit master’s programs in Section 5 teaching in several fields, providing training in pedagogy and applied didactics. UNamur is the lead institution for these programs, which are offered as joint degree programs with Hénallux. The Master’s in Music Education (Section 5) is also offered as a joint degree program with IMEP. SVG .cls-1 { fill: #323232; stroke-width: 0px; } Biology See content SVG .cls-1 { fill: #323232; stroke-width: 0px; } Chemistry See content SVG .cls-1 { fill: #323232; stroke-width: 0px; } Mathematics See content SVG .cls-1 { fill: #323232; stroke-width: 0px; } Physics See content SVG .cls-1 { fill: #323232; stroke-width: 0px; } Economics See content SVG Music See content The Benefits of These Programs teacher training grounded in real-world needs and taking into account the realities of the teaching profession, a curriculum with a stronger focus on pedagogy and teacher training an emphasis on hands-on training throughout the training a reflective approach to expand your opportunities throughout your career an opportunity to enroll in the specialized master's program in teacher education required for permanent appointment at a college or university  a training program with a flexible schedule to meet the needs of working students Learn more about the FIE Learn more Contact Nathanaël Laurent Academic Coordinator for the Master's Programs in Education, Sections 4 and 5 nathanael.laurent@unamur.be