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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...

Several sessions are scheduled: November 5, 12, 19 and 26 from 5pm to 7pm. Sign up

Several sessions are scheduled: November 5, 12, 19 and 26 from5pm to 7pm. Sign up

Several sessions are scheduled: November 5, 12, 19 and 26 from 5pm to 7pm. Sign up

Several sessions are scheduled: November 5, 12, 19 and 26 from 5pm to 7pm. Sign up

What? BENEVOL on Thursday and Friday, November 21 and 22: the congress will bring together researchers working in software engineering, evolution, and maintenance. This year, we will have two keynotes: one by Prof. Andy Zaidman from TU Delft and one by Prof. Sonia Haiduc from Florida State University. IMPACT! day on November 20: as a PhD student and/or researcher, you can join us to learn to communicate what you bring to the table efficiently thanks to the tried and tested Value Proposition canvas and exchange with practitioners, who will expose the challenges they encounter daily. The IMPACT! day initiative is supported by the GRASCOMP doctoral school, and participants will receive a certificate. As a software development professional, you can join us on Wednesday afternoon, November 20, as a guest from the corporate world to share your current challenges and connect with researchers working to advance software development and maintenance practices (please do not hesitate to contact us at snail.info@unamur.be if you would like to participate in the introductory panel of guests from the professional world and/or at the World Café). When? Wednesday 20 (IMPACT Day!) Thursday 21 - Friday 22 November 2024 (BENEVOL Research Congress) Organizers Xavier Devroey, Gilles Perrouin, Benoît Vanderose, Anthony Cleve, Babette Di Guardia, Amélie Notaro, Sophie Panarotto, Alix Decrop, Tom Mens Where? TRAKK, Namur creative hub (Journée IMPACT!) S09, Faculty of Sciences, University of Namur, Belgium (BENEVOL Research Congress) More information

Synopsis The spreading of internet-based technologies since the mid-90s has led to a paradigm shift from monolithic centralized information systems to distributed information systems based upon the composition of software components, interacting with each other and of heterogeneous natures. The popularity of these systems is nowadays such that our everyday life is touched by them.Classically concurrent and distributed systems are coded by using the message passing paradigm-according to which components exchange information by sending and receiving messages. In the aim of clearly separating computational and interactional aspects of computations, Gelernter and Carriero have proposed an alternative framework in which components interact through the availability of information placed on a shared space. Their framework has been concretized in a language called Linda. A series of languages, referred to nowadays as coordination languages, have been developed afterwards. In addition to providing a more declarative framework, such languages nicely fit applications like Facebook, LinkedIn and Twitter, in which users share information by adding it or consulting it in a common place. Such systems are in fact particular cases of so-called socio-technical systems in which humans interact with machines and their environments through complex dependencies. As coordination languages nicely meet social networks, the question naturally arises whether they can also nicely code socio-technical systems. However, answering this question first requires to see how well programs written in coordination languages can reflect what they are assumed to model.This thesis aims at addressing these two questions. To that end, we shall use the Bach coordination language developed at the University of Namur as a representative of Linda-like languages. We shall extend it in a language named Multi-Bach to be able to code and reason on socio-technical systems. We will also introduce a workbench Anemone to support the modelling of such systems. Finally, we will evidence the interest of our approach through the coding of several social-technical systems. The Jury Prof. Wim Vanhoof - University of Namur, BelgiumProf. Jean-Marie Jacquet - University of Namur, BelgiumProf. Katrien Beuls - University of Namur, BelgiumProf. Pierre-Yves Schobbens - University of Namur, BelgiumProf. Laura Bocchi - University of Kent, United KingdomProf. Stefano Mariani - UNIMORE University, Italy Participation upon registration. Register here

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. I want to register

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. I want to register

Instantly obtain a translation in sign language (LSFB) of a word written in French: that's what MOSI (Du mot au signe) makes possible. This new tool is the fruit of a collaboration between the University of Namur, the asbl École et Surdité and the asbl LSFB, supported by the King Baudouin Foundation.

For Bruno Dumas, computer science fits in with the principles of applied psychology Artificial intelligence (AI) is interfering in our professional as well as our private lives. It both seduces and worries us. On a global scale, it is at the heart of major strategic, societal or economic issues, still being debated in mid-February 2025, at the AI World Summit in Paris. But how can we, as users, avoid being subjected to it? How can we gain access to the necessary transparency of its workings? By placing his research prism on the user's side, Bruno Dumas is something of a "computer psychologist". An expert in human-computer interaction, co-president of the NaDI Institute (Namur Digital Institute), he defends the idea of a reasoned and enlightened use of emerging technologies.