جست‌وجوی استاد و پژوهشگر

Karoline Faustمشاهده پروفایل

دانشیار

• Microbial community dynamics
• Microbial systems biology
• Bioinformatics
• +۶ مورد دیگر

Karoline Faust is an Associate Professor at KU Leuven, affiliated with the Laboratory of Molecular Bacteriology (Rega Institute) and the Faculty of Medicine . She contributes to the iSi Health and Leuven One Health institutes, and serves on senior academic councils. Her research spans microbial systems biology, focusing on community dynamics and network analysis. Education: PhD in bioinformatics (2010, KU Leuven) Affiliations: KU Leuven, ISME Journal editorial board, Belgian Society for Microbiology Her research investigates microbial community dynamics , systems biology approaches to microbiomes, and bioinformatics tool development . She specializes in modeling human gut microbiota , synthetic microbial communities , and environmental microbiomes (e.g., microplastic impacts on Daphnia microbiomes). Her work integrates metabolic modeling , network analysis , and experimental systems to understand microbial interactions. Recent publications highlight her contributions to microbial network inference , 16S rRNA sequencing protocols , microfluidics , and ecological modeling of microbiomes. She develops tools like manta , miaSim , and CoNet to analyze community structures. Teaching: Karoline co-teaches courses in microbiology, bioinformatics, and network analysis at KU Leuven, and has contributed to international workshops on microbial network inference. Scientific Engagement: She serves as Senior Editor at ISME Journal and Secretary of the Belgian Society for Microbiology .

Johan Meyersمشاهده پروفایل

استاد

• Wind Energy
• Turbulent Flow Simulation
• Flow Control & Optimization
• +۵ مورد دیگر

Johan Meyers is a full Professor at KU Leuven's Faculty of Engineering Science, Department of Mechanical Engineering, where he heads the Applied Mechanics and Energy conversion (TME) research unit. He serves as a contact person for TME and is an active member of the KIES – KU Leuven Institute for Energy and Society. His administrative roles include membership on the Council of the Faculty of Engineering Science, the Mechanical Engineering Department Council and Board, and chairing the HPC Steering Committee. Professor Meyers' research focuses on turbulent flow simulation and optimization, with particular emphasis on wind energy applications, atmospheric pollutant dispersion, and computational methods. His work spans Direct Numerical Simulation (DNS), Large-Eddy Simulation (LES), and model reduction techniques for applications in energy engineering. Current research categories include flow control & optimization, wind farm engineering, and atmospheric pollutant dispersion modeling, with specific applications in radioactive release scenarios and wind turbine system optimization. His recent publications demonstrate a strong trend toward wind energy applications, particularly in optimizing wind farm layouts and operations through advanced computational methods. The research shows significant emphasis on Large-Eddy Simulation techniques to study atmospheric boundary layer interactions with wind farms, with growing interest in hybrid wind-solar energy systems and the effects of surface temperature heterogeneity on flow patterns. His work increasingly integrates machine learning approaches to enhance computational efficiency in wind farm modeling. Professor Meyers actively supervises numerous PhD students including Bon, T., Janssens, N., Jamaer, S., and ALREWENY, A., among others. His research is supported by multiple ongoing projects through 2028, including 'Wind-farm co-design in the North-Sea basin given climate and market uncertainty' and 'Reconstruction of turbulence from partial observations,' primarily funded by research councils and industry partnerships. He leads the Turbulent Flow Simulation and Optimization (TFSO) research group, which develops efficient supercomputing simulation tools for turbulent flow applications in energy engineering. The group specializes in wind farm optimization, atmospheric pollutant dispersion modeling, and airborne wind energy systems, with a particular focus on LES studies of wind farm interactions with the atmospheric boundary layer.

• Logical Geometry
• History of Logic
• Epistemic Logic
• +۳ مورد دیگر

Lorenz Demey is a Research Professor in Philosophical Logic at KU Leuven's Centre for Logic and Philosophy of Science (CLPS), affiliated with the Institute of Philosophy. His work focuses on logical geometry, history of logic, epistemic logic, and modal logic. He holds advanced degrees in philosophy, logic, mathematics, and artificial intelligence from KU Leuven and Universiteit van Amsterdam. Demey's research explores Aristotelian diagrams, their cognitive and mathematical properties, and their historical applications. He has secured grants including an ERC Starting Grant, and his projects investigate topics like Kantian ethics modeling, Dutch vernacular logic, and the development of formal semantics. He actively collaborates internationally, delivering invited lectures at institutions like Xiamen University and Sun Yat-sen University. His teaching emphasizes logical theory and science communication. Notable publications include studies on dynamic epistemic logic, medieval logic diagrams, and the philosophical foundations of logical geometry. Key contributions include the Leonardi.DB ontology for Aristotelian diagrams and work on bitstring semantics for logical structures. Demey co-supervised PhD student Bart Nys and collaborates on projects like STUDIUM.AI, analyzing knowledge networks around Leuven's historical university. His work bridges historical scholarship with formal methods, contributing to both theoretical and applied research in logic and philosophy.

• Survival Data Analysis
• Frailty Models
• Cure Models
• +۳ مورد دیگر

Catherine Legrand serves as Professor of Biostatistics at UCLouvain (Louvain-la-Neuve, Belgium), affiliated with the Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA) and the Louvain School of Statistics, Biostatistics and Actuarial Sciences (LSBA) within the Faculty of Science. She chaired ISBA from 2019-2022 and currently presides over the Louvain Institute for Data Analysis and Modeling (LIDAM). Her academic foundation includes: Master Degree in Mathematics from Université Libre de Bruxelles (1998) PhD in Statistics from Hasselt University (2005) supervised by Prof. Paul Janssen and Prof. Luc Duchateau, specializing in survival analysis and frailty models Her research program centers on Survival Data Analysis with emphasis on frailty models, cure models, and Joint Models for Longitudinal and Survival Data. She develops methodologies for clinical trial design and analysis with direct applications in oncology data, bridging theoretical statistics and clinical practice through collaborations with medical researchers. Analysis of her recent publications (2023-2025) reveals three dominant trends: 1) Advanced survival modeling techniques (semi-Markov, cure rate models) for disease progression; 2) Validation frameworks for surrogate endpoints in clinical trials using joint modeling; 3) Emerging applications in health insurance analytics and public health systems. Her work increasingly addresses real-world healthcare challenges while maintaining methodological rigor. No scientific awards were documented in the available sources. Information regarding student supervision and research grant funding was not provided in the current materials. She leads research within LIDAM and ISBA, building on her prior role as primary statistician for the EORTC Lung Cancer Group where she contributed to multiple Phase II/III trials in lung cancer and mesothelioma. Her current work integrates biostatistical methodology development with practical applications across oncology, public health, and actuarial science domains.

• Noise Abatement in Machines and Vehicles
• Numerical Modeling in Mechanics
• Automotive Structures and Dynamics
• +۱۲ مورد دیگر

Prof. Wim Desmet is a full professor at the Faculty of Engineering Science and head of the Department of Mechanical Engineering at KU Leuven . His research focuses on advanced modeling techniques for mechanical systems, including: noise and vibration control in automotive and industrial systems computational acoustics and interval field uncertainty modeling metamaterials for broadband vibroacoustic performance AI-driven diagnostic systems in renewable energy and manufacturing Current research projects address challenges in electric vehicle drivetrains, wind turbine monitoring, and multi-physical digital twin development. He actively contributes to academic governance as: Managing Director of KU Leuven Head of Subdivision HIST Chair of multiple executive committees Member of 15+ academic and administrative councils

Evy Rombautمشاهده پروفایل

پژوهشگر

• Autonomous Vehicles
• Logistics
• Electric Vehicles
• +۵ مورد دیگر

Evy Rombaut serves as a postdoctoral researcher at the MOBI Electromobility Research Centre, Vrije Universiteit Brussel, specializing in Business Technology and Operations Management. Her research focuses on autonomous vehicle systems, sustainable transportation, and urban mobility optimization within the Flemish Institute for Technological Research ecosystem. Her primary research interests include autonomous vehicles (100% fingerprint match), logistics systems (24-28% focus), electric vehicle integration (22-31% emphasis), and vehicle-to-grid technology (28% focus). Her work bridges engineering and social sciences, particularly examining user acceptance (21% focus), traffic simulation modeling (22% focus), and job creation metrics (21% focus) in electromobility transitions. Rombaut actively supervises graduate research, with notable contributions to master's theses on autonomous vehicle environmental impacts and EU regulatory frameworks. Her current projects include AccelerationMOBI (2025-2029), DESTINY carbon reduction initiatives (2024-2029), and AUGMENTED CCAM infrastructure development (2022-2025), reflecting her leadership in European sustainable transport research consortia. She maintains active roles in PhD committees and conference organization, including the ACCAM Project Review Meeting (2024) and doctoral defenses on shared autonomous vehicle implementation. Her research output demonstrates consistent productivity with 43 publications since 2015, including 17 journal articles and 10 conference papers, achieving an h-index of 8 with 341 Scopus citations. Rombaut's work is centered at the MOBI Electromobility Research Centre, where she contributes to the Autonomous Mobility & Logistics research focus area. Her current projects involve multi-institutional collaborations across 8 active research initiatives examining vehicle-to-grid integration, urban mobility transitions, and carbon-neutral transport solutions through both fundamental and applied research frameworks.

• Discrete choice experiments
• Optimal experimental design
• Multivariate statistics
• +۷ مورد دیگر

Martina Vandebroek is Full Professor of Statistics and Operations Research at KU Leuven, Faculty of Economics and Business, where she leads methodological work within the Operations Research and Statistics Research Group (ORSTAT). She also serves as senior academic staff on the Faculty Council and the Campus Councils for Leuven and Kortrijk, and is a member of the LStat General Assembly. Research Interests Discrete choice experiments (design & analysis) Optimal and sequential experimental design Multivariate statistics and modelling of preference heterogeneity Random regret minimisation and attribute non-attendance Applications in health economics, transport, marketing, and food science Her methodological innovations enable more efficient data collection and richer behavioural insights in stated-preference surveys, while her applied projects translate patient and consumer preferences into actionable evidence for policy makers and industry. Recent Publications Overview Between 2022 and 2024 Vandebroek (co-)authored 15 key articles. These contributions advance both the statistical machinery of choice modelling—such as mixed random regret models, design-efficient sample-size rules, and consideration-set heuristics—and substantive applications in oncology patient preferences, inflammatory bowel disease treatments, meat-substitute adoption, and food-quality valuation. The work repeatedly integrates sophisticated econometric techniques with real-world stakeholder data, reflecting an overarching commitment to methodological rigour and societal impact. Scientific Awards & Recognition No specific awards are listed in the provided material; however, her sustained publication record in top journals (Journal of Choice Modelling, Food Quality and Preference, Frontiers in Oncology, Stata Journal) attests to significant scholarly recognition. Advising & Grant Activities Promotor (PI) of FWO project “Discrete choice models including screening rules: modeling and design” (2017-2021) Promotor of KU Leuven project “Efficient Online Choice Experiments” (2017-2020) Co-promotor of IWT/FWO project “Empirical and methodological challenges in choice experiments” (2017-2023) Co-promotor of VLAIO project “Development, Validation, and Valorization of a Patient Preference Platform” (2023-2026) Teaching & Service Vandebroek teaches master-level courses “Applications of Statistics” (Dutch and English iterations) and contributes to the Leuven Statistics Research Centre (LStat) educational programme.

Stefaan Poedtsمشاهده پروفایل

استاد

• Solar Astrophysics
• Coronal Heating Mechanisms
• Space Weather
• +۵ مورد دیگر

Prof. Stefaan Poedts is a Full Professor at the Department of Mathematics of KU Leuven , leading the Center for Mathematical Plasma Astrophysics (CmPA) . He specializes in modeling solar and space plasma phenomena, particularly focusing on coronal heating, solar wind dynamics, and the evolution of coronal mass ejections (CMEs). His research addresses critical space weather challenges, supported by grants like the ERC AdG "Open SESAME". Education & Career: Bachelor’s in Applied Mathematics (1984, KU Leuven) PhD in Applied Mathematics (1988, KU Leuven) Postdoctoral research stints at Max-Planck-Institut für Plasmaphysik (Germany) and FOM Institute for Plasma Physics (Netherlands) Joined KU Leuven in 1996 as FWO Research Associate, becoming Full Professor in 2000 Research Interests: Solar corona and solar wind dynamics CME initiation, propagation, and geoeffectiveness MHD modeling of plasma instabilities and waves Controlled nuclear fusion (tokamak stability) Development of operational space weather models like EUHFORIA Teaching & Outreach: Teaches courses in differential equations, calculus, and plasma physics Active in science communication, including public lectures on space weather Labs & Collaborations: Leads the CmPA and contributes to ESA’s Virtual Space Weather Modelling Centre (VSWMC), advancing global heliospheric forecasting systems.

Liane Gaboraمشاهده پروفایل

استاد

• Creativity
• Cultural Evolution
• Cognitive Science
• +۵ مورد دیگر

Liane Gabora is a Full Professor in the Department of Psychology at the University of British Columbia's Okanagan Campus, affiliated with the Irving K. Barber Faculty of Arts and Social Sciences. She holds additional research affiliations with the Australian National University's School of Music, University of Waterloo's Institute for Complexity & Innovation, and Free University of Brussels' Centre Leo Apostel for Interdisciplinary Studies. Her educational background includes a BSc from the University of Western Ontario, PhD from the Free University of Brussels, and postdoctoral positions at UC Berkeley and the Free University of Brussels. Gabora's research program explores creativity, cultural evolution, and cognitive transitions through interdisciplinary approaches. Her work examines: How concepts combine and adapt to new contexts The origins of modern cognition and human creativity Computational models of cultural evolution Quantum formalisms for concept interactions Self-Other Reorganization (SOR) theory of cultural evolution Honing theory of creativity integrating complex systems and memory Her publications demonstrate strong cross-disciplinary integration spanning psychology, physics, anthropology, and computer science. Major research awards include the 2011 Berlyne Award from the American Psychological Association for outstanding research by a junior scholar. She has secured over $1 million in funding from NSERC, SSHRC, and private donors. Gabora supervises graduate students in Psychological Science and Digital Humanities programs and leads research on cognitive transitions underlying cultural evolution. Her laboratory focuses on mathematical and computational modeling of creativity mechanisms, with ongoing projects exploring AI creativity, quantum models of cognition, and the evolution of behavioral modernity through autocatalytic network frameworks.

• Numerical Analysis
• Computational Mathematics
• High-dimensional Integration and Expectations
• +۸ مورد دیگر

Dirk Nuyens is a Senior Lecturer in the Department of Computer Science at the Faculty of Engineering Sciences, KU Leuven, Belgium. He is affiliated with the Numerical Analysis and Applied Mathematics (NUMA) research unit and is a member of the iSi Health Institute for Physics-based Modeling for In Silico Health. He also serves on the Faculty Council of Engineering Sciences and the Programme Committees for Engineering Sciences and Computer Science. Education: While specific degrees are not listed, his expertise and research output indicate advanced training in numerical analysis, computational mathematics, and applied mathematics. Research Interests: His primary research focuses on numerical analysis, computational mathematics, and quasi-Monte Carlo (QMC) methods. Specific areas include high-dimensional integration and approximation, lattice rules, low-discrepancy sequences, uncertainty propagation, and financial engineering. He develops algorithms for efficient sampling, integration, and approximation in high-dimensional spaces, with applications in uncertainty quantification, Bayesian inversion, and PDEs with random coefficients. Research Trends: His recent publications emphasize the construction and analysis of embedded lattice-based algorithms for multivariate function approximation and integration. There is a strong focus on achieving higher-order convergence rates, particularly in Korobov and Sobolev spaces, and on developing randomized lattice rules for improved error bounds. His work bridges theoretical developments in numerical analysis with practical implementations in scientific computing and engineering. Scientific Contributions: He has authored or co-authored numerous influential papers in top-tier journals such as Mathematics of Computation , Journal of Complexity , SIAM Journal on Numerical Analysis , and Journal of Computational Physics . His work on lattice rules, QMC methods, and high-dimensional integration has been widely cited and used in fields ranging from computational finance to theoretical physics. Projects and Funding: He leads or co-leads several ongoing and completed research projects funded by national and international agencies. These include projects on turbulence reconstruction from partial observations, uncertainty quantification for climate control in buildings, computational methods for infinite-dimensional Bayesian inversion, circularity improvements in scrap analysis, and ML-based sensitivity analysis. Software Development: He maintains and contributes to open-source software repositories for QMC point generation, including the Magic Point Shop and QMC4PDE projects. These provide efficient implementations of lattice and digital sequence generators in MATLAB, C++, and Python. Institutional Service: Beyond research, he contributes to academic governance through his roles in faculty and departmental councils, influencing curriculum development and strategic planning in engineering and computer science education at KU Leuven.

Els Goetghebeurمشاهده پروفایل

استاد

• Biostatistics
• Causal Inference
• Quality of Care
• +۲ مورد دیگر

Els Goetghebeur is a Full Professor at Ghent University's Department of Applied Mathematics, Computer Science and Statistics. She chairs the UGent Expert Center for Statistics and serves as Chief-Editor of Statistics in Medicine , while leading the causal inference group within the STRATOS initiative. Her research emphasizes causal inference, survival analysis, and quality of care assessment in biomedical contexts. University: Ghent University Department: Applied Mathematics, Computer Science and Statistics Leadership Roles: Chair of UGent Expert Center for Statistics, Chief-Editor of Statistics in Medicine, Lead of STRATOS Causal Inference Group Her work spans methodological developments in causal inference and survival analysis, applied to biomedical challenges like cancer outcomes, transplant medicine, and tuberculosis diagnostics. Recent publications focus on propensity score methods, latent class analysis, and patient-reported outcome modeling across diverse clinical trials. Key trends in her research include: Improving causal inference techniques in observational studies Advancing survival analysis methods for complex clinical data Standardizing statistical practices in biomedical research through editorial leadership Developing frameworks for handling missing data in patient-reported outcomes Contributing to multicenter clinical trial designs for prostate cancer and solid tumors

• Combinatorial Optimization
• Algorithm Design and Analysis
• Game Theory and Social Choice
• +۴ مورد دیگر

Jannik Matuschke serves as Associate Professor in the Department of Decision Sciences and Information Management at KU Leuven's Faculty of Economics and Business (FEB). He is an active member of both the KU Leuven Institute for Artificial Intelligence (Leuven.AI) and the KU Leuven Institute for Mobility (LIM), holding office at Hogenheuvelcollege (HOGC) 04.123 in Leuven, Belgium. His academic career spans multiple prestigious institutions across Europe, reflecting his international recognition in operations research and theoretical computer science. Dr. Matuschke completed his PhD in Mathematics in 2013 at Technische Universität Berlin under Martin Skutella and Britta Peis. His academic journey included a postdoctoral position at Universidad de Chile (2014), a DAAD P.R.I.M.E. fellowship at the University of Rome 'Tor Vergata' (2015), and a junior group leader/lecturer position at Technische Universität München (2016-2018) before joining KU Leuven in 2019. His research focuses on the intersection of discrete mathematics, theoretical computer science, and operations research, with specific expertise in combinatorial optimization, algorithm design and analysis, game theory and social choice, robustness and uncertainty, and logistics applications. Dr. Matuschke has made significant contributions to network flow theory, security games, and robust optimization frameworks, developing both theoretical foundations and practical applications. Analysis of his recent publications reveals a strong emphasis on robustness under uncertainty, with increasing focus on security applications and theoretical aspects of scheduling problems. His work demonstrates consistent innovation in decomposing complex optimization problems and developing approximation algorithms for challenging combinatorial settings. 2024 Meritorious Service Reward of the journal Operations Research Dr. Matuschke actively mentors several PhD students and postdocs, including Yanfei Chen, Léonie Gallois, Phablo Moura, Felix Rauh, and Fei Wu. He leads significant research projects such as 'Rigidity and Flexibility: Structures and Algorithms' (starting 2025), 'Designing resilient and recoverable infrastructures via multi-level and multi-stage optimization' (2022), and 'Optimization and analytics for stochastic and robust project scheduling' (2020), with funding from diverse sources including KU Leuven start-up grants, FWO research projects, and DAAD fellowships. As an integral member of the academic community, Dr. Matuschke serves as Associate Editor for Omega (since 2023), Operations Research Letters (since 2024), and OR Spectrum (since 2019). He co-chairs the program committee for WAOA 2025 and has participated in numerous prestigious conference committees. At KU Leuven, he coordinates the 'Master's Thesis in Production and Logistics' program and serves on the Teaching Portfolio Peer Review Committee.

Peter Lambertمشاهده پروفایل

دانشیار

• multimedia signal processing
• visual communication
• computer graphics
• +۲ مورد دیگر

Peter Lambert is a full-time Associate Professor at Ghent University – imec (Belgium), affiliated with the Internet Technology and Data Science Lab (IDLab) where he coordinates the MEDIA research team since 2013. His academic background includes a Master's degree in Science (Mathematics) and Applied Informatics from Ghent University, followed by a Ph.D. in Computer Science from the same institution in 2007. Prior to his current role, he served as a Technology Developer at Ghent University (2010-2013). Lambert's research focuses on: Multimedia signal processing and visual communication systems Computer graphics and computational geometry Augmented and virtual reality (AR/VR) technologies Video compression and perceptual quality assessment Multimedia security and digital watermarking His recent publications (2024-2025) demonstrate strong emphasis on real-time multimedia systems, VR/AR applications, perceptual quality metrics, and multimedia security. Research trends include deep learning-based video forensics, light field rendering optimizations, perceptual hashing techniques, and adaptive video streaming solutions. As leader of the IDLab-MEDIA team, Lambert oversees research on emerging visual media formats with applications in immersive experiences. The team develops technologies like OpenDIBR (real-time light field renderer) and maintains datasets such as SILVR (Synthetic Immersive Large-Volume Plenoptic Dataset).

Ruth Müllerمشاهده پروفایل

استاد

• Entomology
• Climate Change
• Vector-Borne Diseases
• +۳ مورد دیگر

Ruth Müller is a Professor of Entomology at the Institute of Tropical Medicine in Antwerp, Belgium, leading the Department of Biomedical Sciences. She is the Unit Head in Entomology and oversees the Institute’s insectarium, established in 2019 with a €1 million grant. Her research focuses on the interplay between biodiversity, climate change, and human health, particularly regarding mosquito-borne diseases. Key projects include studying vector control strategies, climate impacts on disease transmission, and collaborations with institutions like Nepal’s National Health Research Institute. Education and Early Career: Müller’s early work involved Arctic studies on UV radiation and ocean warming’s environmental risks. She has authored over 57 ISI-listed publications, 12 non-ISI documents, 9 book chapters, and a German-language book on biodiversity and climate change. Research Interests: She investigates eco-bio-social approaches to vector control, climate change’s effects on disease vectors, and interdisciplinary solutions for tropical diseases. Her work spans Europe, Africa, South America, and Asia, with a focus on malaria and dengue vectors. Recent Articles: Müller’s recent studies address topics like predatory macroinvertebrate interactions with malaria vectors, public perceptions of climate change in Nepal, and gene drive technology in mosquitoes. These reflect her dual focus on ecological and public health dimensions. Grants and Labs: The insectarium houses species like tiger mosquitoes, malaria vectors, and sandflies, enabling interdisciplinary research on tropical diseases linked to climate change. Major grants include the Flemish Government’s support for vector control projects and the European Centre for Disease Prevention and Control’s funding for VECTORNET3. Future Work: Ongoing projects include light polarization’s impact on mosquito swarms and climate change’s biodiversity-health interface, emphasizing translational research for global health solutions.

• Logic Programming
• Knowledge Representation
• Artificial Intelligence
• +۶ مورد دیگر

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.