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The workshop provides a forum for the discussion of new research directions and applications in Artificial Life, Evolutionary Computation and in related fields, where different disciplines and research areas could effectively meet. It was first held in 2007 in Sampieri (Ragusa), as the incorporation of two separate workshops (WIVA and GSICE).

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

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

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

English versionIn the context of an international Chaire Francqui 2024-2025, the Faculty of Computer Science (UNamur) has the honor to receive Professor Arie Van Deursen (TU Delft, Netherlands ) from the 24th to the 27st of March, for a series of lectures on the theme of: “ Explainable Software Engineering ”.The inaugural lecture, entitled “Explainable Software Engineering in the Public Sector”, will be held on the 25th of March 2025, at 6pm at PA02 (Sentier Thomas, 5000 – Namur).French versionAs part of an international Francqui Chair 2024-2025, the Faculty of Computer Science (UNamur) will have the pleasure of welcoming Professor Arie Van Deursen (TU Delft, Netherlands) from March 24 to 27, 2025, for a series of lessons on the theme: "Explainable Software Engineering".The inaugural lesson, entitled "Explainable Software Engineering in the Public Sector", will take place on Tuesday March 25, 2025 at 6:00 pm at PA02 (Sentier Thomas, 5000 - Namur). Explainable Software Engineering in the Public Sector The field of software engineering seeks to devise theories, methods, tools, and techniques that support the development, operation, and evolution of the digital infrastructure modern society relies on. While the software engineering capabilities have advanced substantially over the past decades, it remains challenging to deliver high quality systems in a timely and cost-effective manner. Government system in particular have a weak reputation in this respect.To better understand why, we analyze 125 complex software projects in the public sector in The Netherlands. The projects are described in public reports published by the Advisory Council on IT Assessments (AcICT), which advises the Dutch parliament and cabinet on riks and chances of success in complex Information Technology (IT) projects. The projects span a time period of 10 years, represent a total budget of over 14 billion Euros, and cover such areas as tax collection, social security, pensions, health, traffic control, defense, or water management.We study these reports through the lens of "explainability", focusing on supporting decision making. Furthermore, we reflect on current advances in software engineering, including modern software testing and large language models, in addressing current software engineering challenges. Program INAUGURAL LECTURE: Explainable Software Engineering in the Public Sector - Tuesday 25/03 - 18:00-19:00 - PA02 SESSION 1: Architectural decision making in software engineering - Monday 24/03 - 10:30-12:30 - I33SESSION 2 : Tests as executable explanations - Tuesday 25/03 - 14:00-16:00 - I33SESSION 3: Technical debt, test smells, legacy systems - Wednesday 26/03 - 14:00-16:00 - I33SESSION 4: Artificial Intelligence for Software Engineering - Thursday 27/03 - 10:30-12:30 - I33 About the speaker Arie van Deursen is a professor at Delft University of Technology, where he leads the Software Engineering Research Group. His research interests include software testing, language models for code, trustworthy artificial intelligence, and human aspects of software engineering. He presently serves as chair of the Steering Commmittee of the ACM/IEEE International Conference on Software Engineering (ICSE).He is a member of the Dutch Advisory Council on IT Assessments (AcICT), as well as a member of the Advisory Board of ING Bank The Netherlands. In 2023, he was elected fellow of the Netherlands Academy of Engineering (NAE). Read more Register for the event

English versionIn the context of an international Chaire Francqui 2024-2025, the Faculty of Computer Science (UNamur) has the honor to receive Professor Arie Van Deursen (TU Delft, Netherlands ) from the 24th to the 27st of March, for a series of lectures on the theme of: “ Explainable Software Engineering ”.The inaugural lecture, entitled “Explainable Software Engineering in the Public Sector”, will be held on the 25th of March 2025, at 6pm at PA02 (Sentier Thomas, 5000 – Namur).French versionDans le cadre d’une Chaire Francqui internationale 2024-2025, la faculté d’informatique (UNamur) aura le plaisir de recevoir le Professeur Arie Van Deursen (TU Delft, Pays-bas) du 24 au 27 mars 2025, pour une série de leçons sur le thème: "Explainable Software Engineering".   La leçon inaugurale, intitulée "Explainable Software Engineering in the Public Sector ", se tiendra le mardi 25 mars 2025 à 18h00 au PA02 (Sentier Thomas, 5000 – Namur). Explainable Software Engineering in the Public Sector The field of software engineering seeks to devise theories, methods, tools, and techniques that support the development, operation, and evolution of the digital infrastructure modern society relies on. While the software engineering capabilities have advanced substantially over the past decades, it remains challenging to deliver high quality systems in a timely and cost-effective manner. Government system in particular have a weak reputation in this respect.To better understand why, we analyze 125 complex software projects in the public sector in The Netherlands. The projects are described in public reports published by the Advisory Council on IT Assessments (AcICT), which advises the Dutch parliament and cabinet on riks and chances of success in complex Information Technology (IT) projects. The projects span a time period of 10 years, represent a total budget of over 14 billion Euros, and cover such areas as tax collection, social security, pensions, health, traffic control, defense, or water management.We study these reports through the lens of "explainability", focusing on supporting decision making. Furthermore, we reflect on current advances in software engineering, including modern software testing and large language models, in addressing current software engineering challenges. Program INAUGURAL LECTURE: Explainable Software Engineering in the Public Sector - Tuesday 25/03 - 18:00-19:00 - PA02 SESSION 1: Architectural decision making in software engineering - Monday 24/03 - 10:30-12:30 - I33SESSION 2 : Tests as executable explanations - Tuesday 25/03 - 14:00-16:00 - I33SESSION 3: Technical debt, test smells, legacy systems - Wednesday 26/03 - 14:00-16:00 - I33SESSION 4: Artificial Intelligence for Software Engineering - Thursday 27/03 - 10:30-12:30 - I33 About the speaker Arie van Deursen is a professor at Delft University of Technology, where he leads the Software Engineering Research Group. His research interests include software testing, language models for code, trustworthy artificial intelligence, and human aspects of software engineering. He presently serves as chair of the Steering Commmittee of the ACM/IEEE International Conference on Software Engineering (ICSE).He is a member of the Dutch Advisory Council on IT Assessments (AcICT), as well as a member of the Advisory Board of ING Bank The Netherlands. In 2023, he was elected fellow of the Netherlands Academy of Engineering (NAE). Read more Register for the event