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Christophe Meunier is a researcher specializing in hybrid materials, particularly focusing on biohybrid systems that integrate biological components with inorganic matrices. His work emphasizes environmental applications and biomedical innovations through advanced material design. Key Collaborations: Su, B. L., Michiels, C., Wang, L. Research Themes: Photosynthesis mimicry, cell therapy microcapsules, hybrid alginate-TiO₂ systems Research Focus: Meunier has pioneered the biomimicry of photosynthesis via biosystem immobilization in silica matrices, aiming to create 'living materials' with functional biological-inorganic interfaces. His recent projects explore alginate@TiO₂ hybrid microcapsules for controlled insulin delivery and cell therapy applications, demonstrating high biocompatibility and stability. Academic Contributions: With 34 research outputs spanning material science, biomedical engineering, and environmental applications, Meunier's work aligns with UN Sustainable Development Goals through innovative hybrid material design. His collaboration network includes experts in chemistry, physics, and medical fields.

• Material Science
• Biohybrid Materials
• Environmental Applications
• +3 more

Maxime Gobert is a researcher at the University of Namur's Faculty of Computer Science, specializing in database systems and software engineering. Having completed his PhD in March 2023 titled 'Design, Manipulation and Evolution of Hybrid Polystores,' Gobert has established himself as an expert in hybrid database systems, particularly focusing on the HyDRa framework for modeling and evolving polystores. His research interests span database systems, hybrid polystores, database schema evolution, software engineering, data-intensive systems, and static program analysis. Gobert's work bridges theoretical database concepts with practical applications, particularly in NoSQL databases like MongoDB and complex hybrid data storage environments. His publication record demonstrates a clear trajectory from his 2013 Master's thesis on database reverse engineering through to his recent work on database testing best practices and sign language processing applications. His research shows strong collaboration with colleagues at the University of Namur, particularly with Professor Cleve A., and extends to international collaborations as evidenced by his 2016 guest researcher position at the University of Geneva. Best New Idea and Emerging Results (NIER) Paper Award at the 20th IEEE Working Conference on Source Code Analysis and Manipulation (SCAM 2020) Jean Fichefet 2013 award Gobert has contributed significantly to the development of the HyDRa framework for hybrid polystore management and has extended his research into sign language processing through collaborative projects creating bilingual sign language dictionaries and parallel corpora. His work demonstrates both technical depth in database systems and a commitment to applying this expertise to accessibility-focused applications.

• Database Systems
• Hybrid Polystores
• Database Schema Evolution
• +4 more

Bart Bogaerts is an Associate Professor in the Department of Computer Science at KU Leuven's Faculty of Engineering Science. He is affiliated with the Declarative Languages and Artificial Intelligence (DTAI) research unit and is a member of Leuven.AI - KU Leuven Institute for Artificial Intelligence. Bogaerts serves on the Council of the Faculty of Engineering Science as senior academic staff and participates in the Programme Committee for Artificial Intelligence curriculum development. His research focuses on foundational aspects of logic programming and knowledge representation, with particular expertise in approximation fixpoint theory, higher-order logic programming, and non-monotonic reasoning. Bogaerts investigates the theoretical underpinnings of stable model semantics, justification frameworks, and executable query languages. His work bridges theoretical computer science with practical applications in artificial intelligence and knowledge-based systems. Bogaerts' publication record demonstrates consistent contributions to top venues in logic programming and artificial intelligence. His recent work shows increasing focus on category-theoretic approaches to approximation theory, distributed web traversal specifications, and certified model expansion techniques. The publications reveal a strong emphasis on formal methods with applications spanning from theoretical mathematics to practical AI systems. As a promotor for multiple significant research projects, Bogaerts leads investigations into certified answer set programming (CertifASP), first-order model expansion (CertiFOX), proof generation for combinatorial optimization, distributed configuration problems, and knowledge integration paradigms. These projects, funded through 2028-2029, demonstrate his leadership in advancing the theoretical foundations of AI and logic programming. Bogaerts is actively involved in teaching courses on knowledge representation and reasoning, contributing to the development of next-generation AI researchers. His work within the DTAI research unit positions him at the forefront of declarative AI approaches in Belgium's leading research university.

• Logic Programming
• Knowledge Representation
• Artificial Intelligence
• +6 more

Dimitri Van Landuyt serves as an Associate Professor in the Department of Computer Science at KU Leuven , affiliated with the Information Systems Engineering Research Group (LIRIS) . He leads and co-promotes multiple high-impact research projects focused on security and privacy engineering, including initiatives on model-driven security risk analysis , privacy by design , and IoT security . His work spans GDPR compliance, synthetic data management, and threat modeling innovations. Academic Leadership : Member of the Council of FEB and Campus Council Leuven/Kortrijk Research Pillars : Privacy threat modeling, security automation, IoT systems, GDPR technical implementation His publications demonstrate expertise in privacy-enhancing technologies, with recent work analyzing LLM applications in threat modeling, developing tree-based privacy analysis frameworks, and creating adaptive trust management architectures. He explores serious games for security training, synthetic data quantification standards, and runtime threat assessment mechanisms. Dimitri contributes to educational programs through courses in ICT Service Management , Security & Privacy by Design , and Research Methodologies . He supervises student research while collaborating with industry and academia on data protection challenges.

• Information Systems Engineering
• Privacy Threat Modeling
• IoT Security
• +4 more

Erik Mannens is a Professor at Ghent University and Research Valorisation Director at imec, specializing in Semantic Technologies and Artificial Intelligence since 2005. He leads the Data Science team at IDLab, managing over 50 researchers focused on advancing semantic data science and its applications. Education: PhD in Computer Science Engineering (2011), Master’s in Computer Science (1995), and Master’s in Electro-Mechanical Engineering (1992) The team explores the fusion of semantics and AI, aiming to: (1) analyze the Web’s societal impact, (2) study Web-enabled lifestyle changes, and (3) develop future Web innovations. Their work emphasizes Open Source , Open Access , and Open Knowledge principles. His research spans Semantic Intelligence , Big Data Analytics , and Linked Data applications, with notable publications on RDF mappings, IoT platforms, and distributed data querying. Key projects include MapVOWL, RMLEditor, and the MASSIF platform. Current affiliations include Ghent University’s IDLab , where he contributes to cutting-edge research in data science and semantic technologies.

• Semantic Intelligence
• Big Data Analytics
• Semantic Web
• +4 more

Daniel Peralta Cámara is a Postdoctoral Researcher at Ghent University's Faculty of Engineering and Architecture, Department of Information Technology (EA05). His work spans Machine Learning , Bioinformatics , High Performance Computing , and Biometrics , with a focus on Single-Cell Data Analysis , Image Cytometry , and Missing Value Handling . Affiliation: Ghent University Academic Rank: Researcher Research Disciplines: Data Mining, Parallel Computing, Bioinformatics, High Performance Computing His research designs scalable machine learning frameworks for biological and engineering applications, including SCIP for morphological profiling and MSDeepAMR for antimicrobial resistance prediction. He explores advanced techniques like Polar Encoding for missing data and Fuzzy Rough Sets for classification uncertainty, contributing to one-class classification and novelty detection through Python libraries like Fuzzy-rough-learn 0.2 . Key Trends: Hybrid CNN-LSTM for sports analytics Time-series feature selection in healthcare UWB/IMU wearable integration for animal monitoring Dr. Peralta supervises PhD candidates like Maxim Lippeveld (2025) and Oliver Urs Lenz (2023). His collaborations span Ghent University researchers including Eli De Poorter , Chris Cornelis , and Yvan Saeys . Applications: Badminton strategy analysis Goat activity classification White blood cell identification

• Machine Learning
• Bioinformatics
• High Performance Computing
• +5 more

Prof. Dieter De Witte serves as a Professor at Ghent University, dedicating 50% of his time to the Internet Technology and Data Science Lab (IDLab) while simultaneously contributing 50% to the Royal Museums of Fine Arts Belgium (RMFAB) in Brussels through a FED-tWIN mandate from Belspo. At RMFAB, he spearheads the strategic overhaul of digital infrastructure toward FAIR-compliant and data-driven systems, while at Ghent University he collaborates with Prof. Steven Verstockt on applied AI projects across heritage, mental healthcare, and education domains. His academic foundation includes a Master's in Engineering Physics from Ghent University (2008) followed by doctoral research on Big Data technologies and FAIR data for life sciences. Prior to returning to academia in 2021, he gained industry experience as an AI consultant and team lead at Telenet and Ordina. De Witte's research centers on AI-driven transformation of cultural heritage through FAIR data publication , collection enrichment , and intuitive querying interfaces . His technical expertise spans multimodal algorithms, image segmentation, pose estimation, large language models (LLMs), and semantic technologies including SPARQL and IIIF. Current projects focus on human-in-the-loop AI systems that combine diverse AI building blocks for practical heritage applications. Analysis of his 15 most recent publications reveals a clear trajectory from early bioinformatics work (2007-2018) on genomic motif discovery and life sciences data infrastructure toward contemporary cultural heritage applications (2023-2024). Recent outputs demonstrate innovative fusion of pose estimation, linked data frameworks, and multimodal AI for museum contexts, highlighting increasing specialization in AI enrichment of digital collections while maintaining core expertise in FAIR data principles. His FED-tWIN grant enables critical knowledge transfer between academic research and cultural heritage institutions, supporting development of next-generation digital infrastructure at RMFAB. Current projects involve creating AI tools for intuitive collection exploration and systematic enrichment of heritage assets through advanced computational methods. De Witte operates within Ghent University's Internet Technology and Data Science Lab (IDLab), participating in interdisciplinary teams developing applied AI solutions. His work bridges technical innovation with practical implementation in cultural institutions, focusing on sustainable, interoperable systems that enhance public access to digital heritage collections through cutting-edge AI interaction paradigms.

• Artificial Intelligence
• Data Science
• FAIR Data
• +3 more

Pierre Coheur is a Professor at the Université Libre de Bruxelles (ULB) in the Faculty of Sciences, specializing in atmospheric remote sensing and spectroscopy. He currently serves as Vice-recteur au développement durable at ULB (2024-present) and Advisor for the Rector – Research in Science and Technology (2023-present). Previously, he was Head of the Chemistry Department (2021-2022) and Head of the SQUARES laboratory (2017-2023). His research focuses on remote-sensing of Earth and planetary atmospheres, atmospheric radiative transfer and retrievals, atmospheric chemistry, environmental chemistry, and molecular spectroscopy. Coheur leads several major research projects including "Hyperspectral atmospheric IR sounding missions" (HIRS), "Building a benchmarking service for Chemistry-Climate Models" (BCCM-O3), and "SPectroscopy in support to the exploration of planetary atmospHERES" (SPHERES). His recent publications reveal a strong focus on satellite-based atmospheric monitoring, particularly using IASI data, with applications to studying wildfire emissions, ozone variability, greenhouse gases, and air quality. His work demonstrates expertise in analyzing atmospheric composition across different planetary environments, from Earth to Mars. Frontiers Planet Prize, National champion (2023) Certificate for outstanding contribution to the Mars Express mission (2023) Research.com Environmental Sciences in Belgium Leader Award (2023) Researcher of the "Fondation de l'Université" (since 2010) Stas Award of the Royal academy of Sciences (1999) Professor Coheur has supervised numerous PhD students including Mauri Rosier, Gaia Pinardi, Beata Opacka, and others. He serves as Chairman of the IASI Sounder Science Working Group (EUMETSAT-CNES) since 2019 and is a member of the ACE Science Team since 2004. His research is supported by multiple grants from ESA, BELSPO, and other funding agencies. He leads the Spectroscopy, Quantum Chemistry and Atmospheric Remote Sensing research group at ULB, which includes several postdoctoral researchers and collaborators working on atmospheric composition monitoring using satellite data.

• Remote-sensing of Earth and planetary atmospheres
• Atmospheric radiative transfer and retrievals
• Atmospheric chemistry
• +3 more

Jean-Luc Hainaut is a Professor at the Faculty of Computer Science , specializing in Database Application Engineering , Reverse Engineering , and Information Systems Modelling . His work spans theoretical and applied research in software engineering, with a focus on SQL symbolic execution , unit testing , and engineering tools . His research projects include: DB-MAIN : Database Application Engineering (1993–present) RetroWeb : Web Sites Reverse-Engineering Methodologies and Tools (2001–present) ReQuest : Research Program Schemas (2003–present) MIRROR : MedIcal Resource Real Time Optimizer (2012–2015) Key research areas: Reverse Engineering Database Evolution Symbolic Execution Healthcare Systems Modelling Automated Generation of Systems Selected publications highlight his contributions to SQL testing , data-oriented applications , and healthcare information systems . He has supervised numerous students and contributed to the Sustainable Development Goals related to Good Health and Well-being through medical resource optimization projects.

• Reverse Engineering
• Database Application Engineering
• Information Systems Modelling
• +7 more

Pieter Bonte is a FWO Senior postdoctoral fellow and IMEC Postdoctoral researcher at Ghent University's Faculty of Engineering and Architecture, Department of Information Technology. His research focuses on Semantic Web technologies, stream reasoning, and Internet of Things applications. His research interests span Semantic Web, Internet of Things, Stream Reasoning, Knowledge Graphs, Context-aware Systems, RDF Processing, Linked Data, and Healthcare Informatics. His work bridges theoretical semantic technologies with practical applications, particularly in healthcare and IoT domains. Bonte's publication record shows a strong focus on streaming data processing, with numerous papers on Streaming Linked Data, context-aware query derivation, and semantic reasoning frameworks. His research demonstrates a progression from foundational semantic web technologies toward practical implementations in healthcare and IoT applications, with an increasing emphasis on privacy considerations and efficient processing techniques. His work frequently involves collaborations with Femke Ongenae, Filip De Turck, and other researchers at Ghent University and IMEC, indicating strong institutional research networks. His publications appear in respected venues including the Journal of Web Semantics, Semantic Web Journal, and various conference proceedings in the semantic technologies field.

• Semantic Web
• Internet of Things
• Stream Reasoning
• +5 more

Tom Godden is a Researcher at Vrije Universiteit Brussel's Faculty of Engineering specializing in cryptography and computer architecture, with expertise in zero-knowledge proofs and ARM processor optimization for privacy-preserving systems. His work bridges theoretical cryptography with practical embedded systems implementation. His research focuses on cryptographic optimization for resource-constrained devices, zero-knowledge proof systems, and decentralized access control frameworks. Key contributions include ARM-specific elliptic curve cryptography enhancements and zero-knowledge-based permission management architectures for peer-to-peer applications. Recent publications demonstrate a strong trend toward practical zero-knowledge applications in privacy engineering, particularly for mobile and embedded environments where computational resources are limited. Scientific recognition includes: 2nd prize at IACR RWC'21 Cryptohackathon on Functional Encryption Godden actively collaborates within VUB's cryptography research group led by Prof. An Braeken, presenting at major venues including Real World Crypto Symposium and CPDP. His conference participation spans implementation workshops and academic presentations on Rust programming for cryptographic systems.

• Cryptography
• Computer Architecture
• Privacy-Preserving Systems
• +3 more

Thibaut Vandervelden is a Researcher at Vrije Universiteit Brussel's Faculty of Engineering, Department of Electronics and Informatics. His work focuses on hardware security, embedded systems, and cryptographic implementations for resource-constrained environments. With an h-index of 4, he has produced significant research output since 2019, primarily in Sensors, IEEE Access, and Future Generation Computer Systems. His research interests center on practical security implementations for IoT devices and embedded systems, with particular expertise in Rust programming for secure embedded development, cryptographic protocol optimization, and network security for low-power wireless networks. His work bridges theoretical security concepts with practical implementation challenges in constrained environments. Analysis of his recent publications reveals a strong trend toward secure embedded systems development, with increasing focus on Rust programming language applications, zero-knowledge proofs for privacy-preserving systems, and optimization of cryptographic operations for IoT devices. His research demonstrates consistent collaboration with colleagues including Ruben De Smet, An Braeken, and Kris Steenhaut. Scientific recognition includes: IACR RWC'21 Cryptohackathon on Functional Encryption: 2nd prize (2021) Vandervelden actively participates in research community building through organizing workshops like RustIEC and presenting at events focused on embedded systems security. His work has been referenced in Wikipedia pages and garnered attention across academic and professional platforms, with media contributions on cybersecurity research in Flanders. He leads and participates in research teams focused on wireless community development and the Internet of Batteryless Things, contributing to both theoretical frameworks and practical implementations in hardware security.

• Hardware Security
• Internet of Things
• Embedded Systems
• +5 more

Steven Bouillon is a Professor at the Faculty of Bioscience Engineering and head of the Soil and Water Management unit at KU Leuven's Department of Earth and Environmental Sciences. His research focuses on biogeochemical processes in aquatic systems, including rivers, lakes, estuaries, and mangroves. Faculty of Bioscience Engineering Soil and Water Management unit Department of Earth and Environmental Sciences His research spans carbon cycling in coastal and inland waters, greenhouse gas emissions, stable isotope analysis, and climate change mitigation. He leads projects on carbon sequestration in mangroves/saltmarshes, river-geomorphology interactions, and tropical wetland biogeochemistry. Recent collaborative projects include: Carbon stocks in newly created salt marshes and mangroves (2024-2028) WETCOAST: Coastal climate adaptation (2024-2027) Blue Alkalinity (2024-2027) Carbon dynamics in Lake Victoria papyrus wetlands (2023-2027) He teaches courses in: Ecology and Biogeochemistry of Aquatic Systems Soil and Water Systems Global Biogeochemical Cycles

• Biogeochemistry
• Carbon Cycle
• Aquatic Ecosystems
• +3 more

Antoon Bronselaer is an Assistant Professor at Ghent University's Department of Telecommunications and Information Processing within the Faculty of Engineering and Architecture. He is an active member of the Database, Document and Content Management (DDCM) research group, focusing on advancing database theory and applications. His research centers on data quality (particularly measurement models and improvement techniques), temporal databases , data fusion , and uncertainty management in databases . Key contributions include measure-theoretic foundations for data quality assessment, dynamical order construction in data fusion, and predicate enrichment techniques for wrapper induction. Analysis of his recent publications reveals consistent innovation in data cleaning algorithms (e.g., Swipe framework), temporal data modeling, and orthographic similarity measures for graph-based text representations. His work increasingly bridges database theory with healthcare applications (e.g., statin-gait relationship studies) and digital humanities (Byzantine epigrams project). No scientific awards are mentioned in the source materials. Dr. Bronselaer's academic guidance includes formal advisees at Ghent University, though specific student names aren't documented in the provided texts. His research is supported through university positions and likely Belgian/Flemish research grants given his publication venues. Current projects involve automated news update analysis, persistent identifier validation, and syntactic interoperability frameworks. He leads research within the DDCM group, specializing in data quality measurement systems and temporal data management solutions. Recent work demonstrates expansion into healthcare data analytics and cultural heritage informatics while maintaining core expertise in database theory.

• Data Quality
• Data Fusion
• Uncertainty Management
• +2 more

Xavier Devroey is an Assistant Professor of Software Engineering at the Faculty of Computer Science , University of Namur , where he co-leads the SNAIL Team . His research focuses on test automation for search-based and model-based software testing , test suite augmentation , DevOps , and variability-intensive systems . PhD in Computer Science (University of Namur, 2017) Master in Computer Science (University of Namur, 2010) Recent research highlights include: Automated Android safety/security audits (A3S3, 2025) REST API benchmarking infrastructure (2025) Energy consumption analysis through test execution (2025) Fuzzing approaches for Odoo integration testing (FuzzE, 2025) Scientific recognitions: 1st place Java Test Case Generation Tool Competition (2025) VAMOS 2024 Ten-Year Most Influential Paper SSBSE 2020 Best Paper Award ICST 2024 Distinguished Reviewer AST 2023 PC Reviewer Star He actively supervises PhD and master's students while organizing international conferences like ISSTA (2025) and Belgium-Netherlands Software Evolution Workshops (2024).

• Software Engineering
• Test Automation
• Search-Based Testing
• +5 more