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Jean-Jacques StrodiotView profile

Professor

• Optimization
• Equilibrium Problems
• Variational Inequalities
• +5 more

Jean-Jacques Strodiot is a Professor in the Department of Mathematics at the University of Liège's Faculty of Science. With a research career spanning over 45 years from 1977 to 2022, he has established himself as a leading expert in optimization theory and numerical methods. His research focuses on equilibrium problems, variational inequalities, and numerical optimization techniques. Key areas include algorithms development, convergence analysis, Hilbert space methods, and regularization techniques. His work bridges theoretical mathematics with practical computational approaches, making significant contributions to both pure and applied mathematics. Analysis of his 76 research outputs reveals a consistent focus on developing and analyzing algorithms for equilibrium problems and variational inequalities. His recent work (2017-2022) emphasizes strongly convergent algorithms, adaptive regularization parameters, and innovative stepsize rules that improve numerical performance. The research shows strong interdisciplinary connections between optimization theory, functional analysis, and computational mathematics. As Principal Investigator on 11 research projects, Professor Strodiot has secured substantial research funding. His projects include 'Duality and characterization of optimality for equilibrium problems,' 'Approximate solutions and Lagrangian duality for semi-infinite mathematical programming problems,' and 'Extension of proximal methods to equilibrium problems.' Professor Strodiot has maintained strong international collaborations, particularly with Vietnamese institutions. His teaching missions to Vietnam National University in Ho Chi Minh City demonstrate his commitment to academic exchange. He has supervised 90 students throughout his career, contributing significantly to mathematical education and research training.

Eric DepiereuxView profile

Researcher

• Biology Education
• Statistical Inference Teaching
• Ecology Didactics
• +2 more

Eric Depiereux is a Researcher at the University of Namur within the Research Unit in Biology Didactics . Holding a Doctor of Science degree since 1982, he has contributed extensively to Biology Education , Statistical Inference Teaching , and Bioinformatics Education over a 40+ year career. 2022: Impact of limb immobilization on bone mineral density and structure (Ovine model study) 2017: Association between catecholaminergic genes and impulsivity in dogs 2015: Adaptation of bioinformatics microarray analysis for rainbow trout toxicogenomics 2011: gViz - gene co-expression network visualization tool His work connects Biostatistics , Ecological Monitoring , and Digital Educational Tools while maintaining active supervision of PhD students and participation in Didactic Engineering projects. Scientific Awards Recipient of award on 15 March 1982 for research contributions Education & Supervision Doctor of Science: Critical use of PCA and cluster analysis for freshwater invertebrate samples Supervised: Bihin (PhD), Regnier (PhD), Vervoort (PhD)

Michael LobetView profile

Researcher

• Metamaterials
• Photonics
• Electrochromism
• +4 more

Michael Lobet is a researcher at the Department of Physics , University of Namur, and affiliated with the Namur Institute of Structured Matter . His work spans metamaterials, plasmonics, and computational optimization techniques. Research Interests: Electrochromic materials and optical properties of metal oxides Genetic algorithms for photonic structure optimization Quantum optics and near-field angular momentum effects Zero-index metamaterials for quantum mechanics foundations Scientific Recognition: BPS prize for top Physics Master's thesis (2012) QEP committee Poster Prize runner-up (2012) Collaborative Projects: LAZIM (2023–2025): Lasing in near-zero refractive index media FSR-Cofin (2021–2022): Heat treatment effects on metal-dielectric glasses PLASMON-EC (2020–2023): Plasmon excitation in electrochromic nanoparticles

Fabian GILSONView profile

Researcher

• Model Driven Engineering
• Transformation Approaches
• Architecture Description Languages
• +3 more

Fabian GILSON is a researcher at the University of Namur's PReCISE Research Center (Research Center on Information Systems Engineering), specializing in software architecture and model-driven engineering approaches. With a PhD in Computer Sciences completed in 2015, he has established himself as a specialist in bridging requirement engineering with architecture design through formal model transformations. His educational background includes: PhD in Computer Sciences (2015), University of Namur Master in Computer Sciences (2005), University of Namur GILSON's research focuses on the intersection of requirement engineering, component-based design, and physical infrastructure abstractions. His work particularly emphasizes creating methodological frameworks that bind requirements, architecture models, and design rationale through model transformations. His expertise spans Model Driven Engineering, Transformation Approaches, Architecture Description Languages, Distributed Systems, and Design Decisions Traceability. His publication record shows a clear evolution from foundational work on architectural frameworks to practical applications in emerging domains like IoT systems management and social debate platforms. The research demonstrates consistent methodological rigor while addressing increasingly complex real-world problems in software engineering. Notable research projects include: METADONE: A graphical environment for domain-specific modeling languages (2003-present) WebDeb: A social platform for recording and visualizing rhetorical arguments (2014-2018) Thesis-F-Gilson: A Transformational Approach for Component-Based Distributed Architectures (2007-2015) MEMODIA: Methods and Models for Distributed Architectures (2003-2015) GILSON previously worked as a teaching assistant at the University of Namur, where he was responsible for programming practical exercises, architecture modeling methods, and software engineering laboratory sessions. His industry experience includes two years at a Big-5 IT consulting company working on payment systems for a major banking company, including maintenance of legacy IBM iSeries software and retro-engineering projects.

Denis DarquennesView profile

Researcher

• Coordination Languages
• Data Protection
• Tuple-based Systems
• +4 more

Denis Darquennes is a computer science researcher affiliated with University of Namur, specializing in coordination languages and data protection systems. His academic career spans over three decades with significant contributions to tuple-based coordination models and data protection frameworks. His research focuses on the theoretical foundations of coordination languages, particularly examining multiplicities, density metrics, and expressiveness in tuple-space systems. Darquennes has developed formal methods for analyzing coordination patterns and has contributed to important data protection frameworks through European research initiatives. His publication record shows consistent research output from 1989 through 2020, with recent work emphasizing the expressiveness of data-based coordination languages and density metrics in distributed systems. The research demonstrates a clear progression from theoretical foundations to practical applications in data protection. Darquennes has been actively involved in major European research projects including COE-Profilage, RW-Euser, CE-Miauce, and SPFJUS-Phenix, where he contributed expertise in data protection and coordination language design. His work bridges theoretical computer science with practical privacy concerns in emerging technologies. His educational background includes doctoral research completed in 2017 on multiplicities in coordination languages, supervised by Jean-Marie Jacquet and Isabelle Linden at University of Namur, following master's level work on ant colony algorithms in 2005.

• Gynecology
• Ovarian Cancer Diagnosis
• Ultrasound Imaging
• +7 more

Dr. Wouter Froyman is an Assistant Professor at the Department of Development and Regeneration, Faculty of Medicine, KU Leuven. His research focuses on gynecological oncology, ultrasound imaging, and artificial intelligence applications for ovarian cancer diagnostics. Faculty of Medicine Department of Development and Regeneration His research interests include: Ultrasound-based diagnostic models for adnexal lesions Integration of artificial intelligence in medical imaging Circulating tumor DNA for early cancer detection Robot-assisted surgical training metrics Fertility-sparing approaches for gynecological malignancies Deep learning applications in ovarian cancer analysis Recent publications highlight advancements in: AI-enhanced ultrasound diagnostics Circulating DNA biomarkers VR simulation for medical procedures Multi-center validation of diagnostic models Teaching activities include: Clinical skills training in gynecology and obstetrics Problem-solving methodologies Scientific reporting and research design Case-based learning (CBL) modules

Bram VerstocktView profile

Assistant Professor

• Inflammatory Bowel Disease (IBD)
• Personalized Medicine
• Immunology
• +5 more

Bram Verstockt is an Assistant Professor at KU Leuven and a staff member in the Department of Gastroenterology and Hepatology at University Hospitals Leuven since 2021. He serves as a member of the LISCO - KU Leuven Institute for Single Cell Omics and holds multiple leadership roles, including Chair of the Young European Crohn's and Colitis Organization (Y-ECCO) (2024-25) and Vice-President of the European Microscopic Colitis Group (EMCG) (2024-present). His research focuses on non-invasive IBD monitoring through intestinal ultrasound and radiomics, alongside translational studies in predictive/prognostic markers for personalized medicine. He investigates IBD heterogeneity (perianal disease, fibrostenotic disease, fatigue) using multi-omic and organoid models and co-founded the international proteomics consortium COLLIBRI in IBD . Prof. Dr. Jan De Grootte Prize (2013) Horlait-Dapsens Prize (2020) KU Leuven Research Council Award (2022) Recent publications highlight his work on IBD comorbidities , predictive biomarker assays , and international guideline development with organizations like ECCO-ESGAR . His clinical and research contributions bridge gastroenterology with advanced imaging technologies .

Davy JanssensView profile

Professor

• Traffic Safety
• Urban Mobility
• Pedestrian and Cyclist Safety
• +3 more

Prof. Dr. Davy Janssens is a leading transportation safety researcher at Hasselt University's Institute for Transportation Research (IMOB). He heads the Route2School initiative, which focuses on reducing child traffic accidents through innovative technologies like crowdsourcing platforms, AI-driven traffic analysis, and gamified educational tools. His work spans 80+ Flemish municipalities and includes spin-off ventures like Route2School. Research pillars include dangerous route mapping via crowdsourcing, traffic safety route planners considering subjective safety metrics, drone-based traffic bottleneck analysis, decision-support tools for policymakers, and educational platforms for schools. His projects integrate drones, AI, and behavioral science to improve urban mobility safety. Current efforts emphasize bicycle infrastructure evaluation, gamified traffic education for adolescents, and policy support systems. Collaborations with municipalities and international partners address global child safety challenges.

• Static analysis
• Dynamic Analysis
• Abstract interpretation
• +5 more

Quentin Stiévenart is a post-doctoral researcher at the Software Languages Lab of the Vrije Universiteit Brussel (VUB) in Belgium, specializing in programming languages and program analysis. His research spans multiple areas within static and dynamic analysis, with a particular focus on WebAssembly security and analysis techniques. His primary research interests include: Static and dynamic program analysis Abstract interpretation Type systems and effect systems Concurrent and higher-order programming languages WebAssembly security and analysis Interpreter and framework design Stiévenart's recent publications demonstrate a strong focus on compositional and modular analysis techniques, particularly applied to WebAssembly. His work addresses critical security concerns in WebAssembly, including information flow analysis, binary analysis, and vulnerability detection. He has also contributed to frameworks for static analysis of higher-order languages and techniques for improving analysis performance through parallelism and incremental computation. His academic service includes extensive peer review activities and program committee membership for major conferences including SAS, SCAM, ICFP, ECOOP, and OOPSLA, with a particular emphasis on artifact evaluation committees. Stiévenart has developed several research tools including Wassail (a static analysis tool for WebAssembly security), MAF (a framework for modular static analyses), and Scala-AM (a framework for developing static analyses in Scala).

• Computer Science
• Mathematics
• Bioinformatics
• +4 more

Pieter Audenaert is an Associate Professor at Ghent University's Faculty of Engineering and Architecture, affiliated with the Department of Information Technology and the Internet Technology and Data Science Lab. He simultaneously holds a postdoctoral researcher position at IMEC. His interdisciplinary research bridges computer science, mathematics, and engineering. Primary research domains include: Algorithm design for network optimization (Steiner trees, fiber networks) Computational biology (de Bruijn graphs, genome assembly) Transportation logistics (container drayage, port operations) Telecommunication systems (VLC, network flows) Discrete mathematics applied to network science Recent publications (2019-2025) demonstrate strong focus on optimization algorithms for both biological networks and transportation systems, with increasing applications of probabilistic modeling and simulation techniques. Bioinformatics work frequently employs graph-theoretic approaches to genome analysis. Awards and honors: Knuth Reward Check (2003) Laureaat Vlaamse Wiskunde Olympiade (1996) Leads research at the Internet Technology and Data Science Lab, collaborating extensively with industry partners like Port of Antwerp and Belgian retailers for transportation optimization projects.

• Machine Learning
• Surrogate Modeling
• Multi-Objective Optimization
• +7 more

Ivo Couckuyt is an Assistant Professor at the Faculty of Engineering and Architecture , Ghent University, affiliated with the Department of Information Technology and the Internet Technology and Data Science Lab . He actively contributes to research projects funded by the Research Foundation - Flanders (FWO) and regional grants. Bayesian multi-objective optimization Surrogate modeling for engineering Uncertainty quantification Radar-based healthcare systems His research spans machine learning , computational engineering , and multi-fidelity simulations , with recent work focusing on physics-informed optimization, efficient data transmission for radar systems, and nuclear fuel analysis. Publications emphasize Bayesian frameworks and gradient-enhanced kriging for complex systems. As a PhD supervisor and promotor , he has guided 16 doctoral researchers across diverse topics including microwave filters , metamaterials , and radar healthcare applications . Current projects target additive manufacturing for electric machines and data-efficient generative models , combining uncertainty quantification with multi-physics simulations .

• Fuzzy Logic
• Similarity Measures
• Information Retrieval
• +3 more

Helga Naessens serves as Associate Professor in the Department of Information Technology within the Faculty of Engineering and Architecture at Ghent University. She is an active researcher affiliated with the Internet Technology and Data Science Lab, where she conducts work at the intersection of theoretical computer science and practical information systems. Her research program spans two distinct but connected phases. Early in her career (1999-2002), she focused on foundational work in fuzzy logic, developing algorithms for T-transitive closures, rational similarity measures, and fuzzy preorder relations. This theoretical work established mathematical frameworks that later enabled her applied research. From 2008 onward, she shifted toward practical applications in academic information systems, investigating research paper similarity metrics, metadata utilization, and personalized recommendation systems for scholarly resources. Analysis of her publication trajectory reveals a clear evolution from pure mathematics to applied computer science, with her recent work (2010-2013) demonstrating sophisticated integration of language models, semi-structured data, and content-based filtering techniques for academic search systems. Her research consistently bridges theoretical rigor with practical implementation challenges in scholarly communication. Dr. Naessens has maintained significant collaborative relationships throughout her career, most notably with Hans De Meyer and Bernard De Baets (7 publications each), Chris Cornelis (6 publications), and Germán Hurtado Martín (6 publications). She successfully supervised Germán Hurtado Martín's 2013 PhD dissertation on intelligent information filtering methods. Within the Internet Technology and Data Science Lab, she contributes to research initiatives focused on data-driven approaches to information management, with particular emphasis on improving how researchers discover and interact with academic literature through advanced computational techniques.

• Video Coding
• Immersive Media
• Digital Watermarking
• +5 more

Glenn Van Wallendael is an Associate Professor at Ghent University's Faculty of Engineering and Architecture , affiliated with the Department of Electronics and Information Systems . He leads research in video coding, digital watermarking, and immersive media technologies. Academic Focus: Video compression standards (HEVC, H.266), AI for multimedia, virtual reality Key Collaborations: iMinds, imec, European research consortia Research Interests include: Video compression algorithms (HEVC, SVC, MV-HEVC) Digital watermarking for copyright protection Machine learning applications in image/video analysis Quality of Experience (QoE) in immersive environments Recent Publications (2024-2025) show expertise in: Deepfake detection using vision transformers Medical image landmarking tools Lightweight geometric approximation methods AI-driven video quality assessment Doctoral Mentorship includes supervising: 2021: Hannes Mareen (video forensics) 2020: Vasileios Avramelos (light field coding) 2017: Johan De Praeter (adaptive video encoding)

• Wireless Communications
• Computer Networks
• Smart Sensors
• +9 more

Spilios Giannoulis is a postdoctoral researcher at Ghent University's Faculty of Engineering and Architecture , Department of Information Technology (EA05). He actively contributes to wireless networking research through collaborations with IMEC and leadership in projects like 6G-SHINE and CODYSUN. Current Position: IMEC Postdoctoral Researcher University: Ghent University (UGent) Department: Information Technology (EA05) His research focuses on wireless communications and network protocol development , particularly addressing: Spectrum Sharing in heterogeneous networks MAC Protocol Design for IoT and LPWAN Wireless Testbed Development (WiSHFUL, LoRa) Dynamic Resource Allocation in ad hoc systems Recent publications highlight advancements in: 6G short-range wireless architectures Energy-efficient OTA software updates Cross-technology synchronization mechanisms Distributed spectrum sharing paradigms Protocol portability across radio platforms He serves as PhD supervisor and copromotor in funded research initiatives like the 2024-2026 Better than Wired Reloaded project focused on industrial wireless control systems.

• Wireless Communication
• Dynamic Spectrum Sharing
• Artificial Intelligence in Networking
• +4 more

Irfan Jabandžić is a Postdoctoral researcher affiliated with Ghent University 's Faculty of Engineering and Architecture under the Department of Information Technology (EA05) , with collaboration from IMEC. His research spans wireless communication systems, focusing on dynamic spectrum sharing, AI-driven network collaboration, and infrastructure optimization for next-generation wireless technologies. His work emphasizes dynamic spectrum sharing and collaborative intelligent radio networks (CIRNs) , leveraging artificial intelligence to predict and avoid spectrum collisions in hybrid environments. He has developed systems like the SCATTER approach for distributed spectrum allocation and the CODYSUN paradigm for satellite communications. His open-source wireless spectrum hypervisor enables multiplexing of OFDM signals across technologies like LTE, 5G-NR, and NB-IoT. Publications highlight his contributions to 5G network densification , cognitive radio , and multi-carrier signal processing . He has participated in the DARPA Spectrum Collaboration Challenge , designing protocols validated through Colosseum RF emulation and field trials. His research also addresses MAC protocol portability across IoT platforms.