Article

Synthetic choirs | A choir of robots created at the UNamur

A choir of robots sounds like science fiction! Yet it is a reality at the University of Namur. In the robotics laboratory of the Faculty of Computer Science, researchers from the naXys institute, led by professors Elio Tuci and Timoteo Carletti, some members of TRAKK, some artists and external partners collaborated on the "Synthetic Choirs" project.
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Practical information

Useful links RegulationsRèglement des études et évaluations (REE)PhD regulationsCode of good conductInternal Regulations of the Faculty of Computer Science (ROI)Everyday lifeSpecial needs students - EBSLGBTQI Circle of NamurThe LGBTQIA+ youth guideCommunication awareness sheetLa Protection Harcèlement Etudiant - PHARECultural workshopsBrochure SI (licenses and software) Corporate Relations Companies, administrations and organizations wishing to obtain information or consider collaborating with the faculty are invited to contact us via the address entreprise.info@unamur.be. UNamur, like other French-speaking universities, has equipped itself with a tool to help its students and graduates develop their professional careers. The UNamur Career Center platform lets you refine your professional project, prepare for interviews and find the ideal internship or job. More about Namur Career Center Prize list for "memoirs Each year, the Faculty of Computer Science awards a prize for a dissertation that particularly stands out for its quality, originality, rigor and the scope of the results obtained. Created in 2013 as a tribute to Professor Emeritus Jean Fichefet, who played a leading role in the founding and consolidation of the Faculty of Computer Science, this prize salutes the spirit of innovation, enterprise, investing in new fields and new avenues. Since 2023, the prize has been renamed and divided into two categories:Computing dissertation prize, societal impact: a prize that tends to promote dissertations distinguished by their societal character. The themes focus on a technology or development that improves the quality of life together, or on an ethical reflection based on a technology or development studied.Computer Science dissertation prize, general impact: prize that tends to promote dissertations in all themes studied within the Faculty of Computer Science, including societal themes. Read more Map of the Faculty of Computer Science Ground Floor2nd Floor2nd floor FSESG3rd floor4th floor
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Prize list master's thesis

Each year, UNamur's Faculty of Computer Science awards the Prix Jean Fichefet for the best master's thesis in computer science. From the 2022-2023 year, there will be two awards, which are entitled: Best Thesis Award (General Impact) and (Societal Impact).
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Academic year 2024-2025

15 septembre 2025 Au programme pour tous et toutes09h30 | Cérémonie d'accueil.11h00 | Célébration de la rentrée à la Cathédrale Saint-Aubain (Place Saint-Aubain - 5000 Namur) puis accueil des étudiants par les Cercles. Cours du jour Mardi 16 septembre 2025Pour les blocs 1 (Local à venir)* - Séance accueil08H30 : Présentation du Doyen/Vice-Doyen (Anthony Cleve - Marie-Ange Remiche)09H00 : Présentation du SI (Cédric Aerts)09H20 : Présentation de la coordinatrice pédagogique (Fanny Boraita)09H40 : Présentation de la conseillère académique (Géraldine Grandjean)Pour les étudiants des 60 premiers crédits du bachelier (uniquement les étudiants de primo-arrivants*)10h40 (Local I02) : passeport pour le bac "mathématiques"(Florence Henry)La présence à ces séances est obligatoire.Pour les UES** et nouvel étudiant en Master (Local I33) - Séance accueil14H00 : Présentation du Doyen/Vice-Doyen (Anthony Cleve - Marie-Ange Remiche)14H30 : Présentation du SI (Cédric Aerts)14H50 : Présentation de la coordinatrice pédagogique (Fanny Boraita)15H10 : Présentation de la conseillère académique (Géraldine Grandjean)Mercredi 17 septembre 2025Pour les blocs 1 (Local I02)*13H00 : Passeport "lire et comprendre un texte universitaire" (Alexandre Libioul)La présence à cette séance est obligatoirePour tous les étudiants : Début des cours (voir horaire)Permanences PAE17/09, 10h40-11h40 pour les NON-primo-arrivants de bloc1 : Configuration PAE (salle académique)17/09, 09h00-10h00 pour les bacheliers de bloc2 et 3: Configuration PAE (salle académique)18/09, 09h00-10h00 pour les masters : Configuration PAE (salle académique)* Étudiants primo-arrivants : Étudiants inscrits pour la première fois à un programme d'études en sciences informatiques à l'UNamur, qu'ils sortent du secondaire, d’une haute école, d'une autre université ou qu’ils soient inscrits en cours à horaire décalé. ** UES : Unités d'enseignement supplémentaires au master (année passerelle) Cours à horaire décalé Bachelier et Master 60Samedi 13 septembre 2025 - Début des coursPour les étudiants Primo-arrivants (Bloc 1 et UES) :08h30 : Accueil petit déjeuner (café, viennoiseries) dans le hall de la faculté.09h00 : Exposés du Vice-Doyen, Madame Marie-Ange REMICHE, de la conseillère académique, Madame Géraldine GRANDJEAN, du correspondant informatique, Monsieur Cédric AERTS et de la secrétaire, Madame Benjamine LURQUIN. Auditoire I02 (rez-de-chaussée de la Faculté d’Informatique). La présence à cette séance est obligatoire. La présentation de la séance d'accueil sera déposée sur le BVE par la suite.10h00 : Début des cours pour tous les étudiants Master's specialization in IT and innovation: business analysis and it governance For students affected by prerequisite coursesFriday, September 13, 2024 at 9:00 am, seminar I32 on the 3rd floor of the Faculty.For all new studentsCourse start on Friday, October 18 and Saturday, October 19, 2024 at the Academic Hall (4th floor of the Faculty of Computer Science) from 8:30 am. Et avant la rentrée ? En plus des cours préparatoires programmés entre la mi-août et début septembre, l'Université de Namur offre la possibilité aux étudiants primo-arrivants de découvrir leur Faculté ainsi que le campus, et de participer à un forum aux services lors de 2 journées d'intégration.Exclusivement destinés aux élèves qui terminent leurs études secondaires (primo-arrivants), ces cours préparatoires sont adaptés à chaque programme universitaire.Cours préparatoires : du 18 au 28 août 2025 pour les étudiants en informatiqueEn savoir plus sur les horaires des différentes sessions et s'inscrire aux cours préparatoires...  NOUVEAU ! Pour bien vivre votre rentrée à l'Université, participez aux journées d'intégration !Vendredi 12 septembre après-midi - réservé aux primo-arrivants, gratuit, sur inscriptionVisite de votre Faculté et du campus (intégrée aux cours préparatoires si vous êtes inscrits)Barbecue et soirée Vous devez vous inscrire à ces deux activités, même si vous êtes inscrits aux cours préparatoires ! Le lien d'inscription sera disponible prochainement.Samedi 13 septembre de 10h à 16h - ouvert à tous - gratuit, accès libreForum des services : présentation des services aux étudiants (sport, culture, engagement, cellule sociale, ...), des kots à projets et des activités organisées sur le campus... 
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Event

Lecture Series: Quantum Algorithms with Qiskit: from Zero to Hero!

Several sessions are scheduled: November 5, 12, 19 and 26 from 5pm to 7pm. Sign up
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Lecture Series: Quantum Algorithms with Qiskit: from Zero to Hero!

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

Lecture Series: Quantum Algorithms with Qiskit: from Zero to Hero!

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

Lecture Series: Quantum Algorithms with Qiskit: from Zero to Hero!

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

MOSI, from word to sign: a bilingual reading aid from French to Langue des signes de Belgique francophone (LSFB)

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.
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Public thesis defense - Manel Barkallah

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
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Doctoral thesis defense - Sereysethy Touch

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
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Defense of doctoral thesis - Jérôme Fink

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
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