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A Hackathon is a short event where teams reflect on a particular theme. They attempt to find solutions by developing innovative projects. At the end of the event, a jury determines which projects have caught their attention and thus won the competition. A CSLabs initiative The Computer Science Labs is a junior enterprise that grew out of the Faculty of Computer Science at the University of Namur. In practical terms, its actions revolve around carrying out projects, training members on IT-related topics and organizing events. Read more

The workshop will feature:A keynote presentation on public value and AI implementation at VRT.Sessions on discoverability, user agency, and explainability.Discussions on regulation, including perspectives on the AI Act and transparency in media.An interactive session showingcasing AI-driven prototypes.The event will also highlight our project's latest findings. Join us for a day of thought-provoking discussions, knowledge exchange, and networking opportunities!Would you like to attend? Places are limited and will be allocated on a first-come, first-served basis, so register as soon as possible. Registration will close on April 11, 2025. More information here

This thesis presents a novel approach to address the challenges of deploying and managing Network Functions Virtualization (NFV) in resource-constrained and multi-domain environments. The proposed solution leverages a Raspberry Pi clusterbased approach for NFV deployment in resource-constrained environments, combined with a deployable Sidecar VNF (S-VNF) coordinator for multi-domain NFV orchestration.The thesis demonstrates the feasibility of integrating NFV into edge computing environments by successfully deploying and managing Network Services (NSs) on a Raspberry Pi cluster. The S-VNF coordinator facilitates efficient cross-cloud NFV deployment and management while ensuring security and interoperability.While the obtained deployment and scaling delays in the testbed setup were significant due to the bare-metal deployment process used, the proposed solution remains valuable in environments where service maintenance time is a critical factor.By automating deployment and scaling, organizations can minimize the impact of service maintenance time, improve customer satisfaction, and enhance system resilience. Moreover, the solution enables NFV to be deployed effectively in edge environments, providing benefits such as reduced latency and improved network performance.Overall, this thesis contributes to the advancement of NFV by providing innovative solutions for deployment and management in challenging environments. The proposed framework has the potential to enable the widespread adoption of NFV and drive the development of new network services.Directed by Prof. Laurent SCHUMACHER and Prof. Sokchenda SRENG.In front of a jury composed of:Prof. Wim VANHOOF, President, University of NamurProf. Laurent SCHUMACHER, Co-Promoter, University of NamurProf. Sokchenda SRENG, Co-Promoter, ITC Graduate School (Cambodia)Prof. Florentin ROCHET, Internal Member, University of NamurProf. Johann MARQUEZ-BARJA, External Member, University of AntwerpProf. Bruno QUOITIN, External Member, University of MonsProf. Raveth HIN, External Member, ITC Graduate School (Cambodia)You are cordially invited to a drink, which will follow the public defense.For good organization, please give your answer by Thursday March 20 by means of this link.Contact: Daelman Isabelle - isabelle.daelman@unamur.be

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

Take part in our open morning Given the works in the rue de Bruxelles and the renovation of part of the University parking lots, we invite you to use public transport whenever possible (train or bus) to reach Namur. UNamur boasts an ideal location, in the heart of the city just a five-minute walk from the TEC and SNCB train stations.If you're coming by car, take a look at the parking map provided. Look forward to seeing you on Saturday, June 29!

Save the date! On Saturday June 28, 2025, from 1pm to 5pm, UNamur once again opens its doors to you before the summer vacations.At the programProfessors, assistants, students and staff members look forward to welcoming you to answer all your questions about your future studies;share with you their experience of university life and its many opportunities for fulfillment;guide you through your final practical steps: registration, preparatory courses, finding accommodation, financial aid and more.Forthcoming informationThe afternoon's detailed program will be available some ten days before the event. Find out more about the open house

A program for every discipline During late August and early September, UNamur offers rheto students preparatory courses tailored to their future training.These revision sessions are specially designed to support students in their transition to university. By reinforcing their foundations in the key subjects of their future discipline, they enable them to approach their first year with confidence. These preparatory courses are also an excellent opportunity to discover the campus, meet future classmates and familiarize themselves with the learning methods specific to higher education. Discover the preparatory courses Preparation for the medical entrance exam For students wishing to begin studying medicine, two sessions are also organized according to a specific timetable to prepare for the entrance exam. Discover the preparatory courses for the entrance exam to medicine

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

In practice Who are open courses for?Open courses are open to all, although they are primarily aimed at secondary school students to help them take that first step in exploring higher education.What is the schedule for open courses?Courses are open from February 27 to Wednesday, March 5, 2025, from 08:30 to 16:30.To find out the precise timetable and location of each course, please visit the Info études service (Rue de Bruxelles, 85 5000 Namur), 15 minutes before the start of the course.The provisional program is available 15 days before the start of open courses.How to meet a guidance counselorYou have the opportunity to meet a guidance counselor at the guidance workshop scheduled for Tuesday, March 4, 2025, from 1:30 to 4:00 pm.The aim of this workshop is to help you think about the guidance process, gain a better understanding of the higher education landscape and define the main markers in the process of clarifying your project (educational and professional).Our advisor is also available by appointment for a one-to-one meeting throughout the week of open courses and outside of it.Do you have to register to take part?Access to open courses is without prior registration.To participate in the orientation workshop, however, online registration is mandatory and will be available some ten days before the start of the open courses.Who organizes the open courses?Open courses are organized by Info études, the service that provides information on all matters relating to choice of studies, prerequisites, reorientation, gateways, course curricula, job opportunities, additional training, recognition of prior learning... or any general questions about university life in Namur. Find out more about open courses

Save the date! The next UNamur Open House will take place on Saturday, March 29, 2025, from 1pm to 5pm.Save this date in your diary already!!On the programInspiring encounters: chat with our professors, assistants and students.Immersive tours: explore our auditoriums, classrooms and laboratories.Valuable information: get answers to all your questions about our programs and the specifics of studying in Namur.Practical resources: discover all the services available to support you before, during and after your studies.Stay tuned!The detailed afternoon program will be available some ten days before the event.Can't join us? No worries! A second open house is scheduled for Saturday, June 28, 2025, from 1pm to 5pm. Find out more about the open house

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