Find Academic Supervisors

• Geotechnical Engineering
• Soil-Structure Interaction
• Pile Foundations
• +4 more

Georgios Anogiatis serves as Associate Professor at KU Leuven's Faculty of Engineering Technology, Department of Civil Engineering, based at the Bruges Campus. He heads the Hydraulics and Geotechnics subdivision and holds key committee roles including membership in the Council of the Faculty of Engineering Technology, Civil Engineering Department Council, and Faculty Council for International Policy. His research centers on soil-structure interaction dynamics, specializing in pile foundation behavior under seismic and cyclic loading. He develops continuum analytical models for geotechnical systems including retaining walls and embedded foundations, with emphasis on wave propagation in layered soils and p-y/t-z curve development. Current work integrates physics-informed neural networks and probabilistic methods to address offshore wind turbine foundation challenges. Recent publications (2023-2025) reveal a concentrated focus on offshore renewable energy infrastructure, particularly soil-pile interaction mechanisms in inhomogeneous soils, cyclic foundation response, and computational efficiency enhancements. Key themes include decommissioning strategies for wind turbine foundations, sediment bed system development for ocean basin testing, and probabilistic performance assessment under seabed variability. He leads multiple major research initiatives including the €2.1M ATHENA project (2022-2026) on analytical programming efficiency and the 2024-2029 decommissioning strategies project for offshore wind foundations. His grant portfolio demonstrates strong industry-academia collaboration in offshore renewable energy validation and coastal engineering applications. Anogiatis directs research activities at KU Leuven's Bruges Campus Hydraulics and Geotechnics group, leveraging the Coastal & Ocean Basin facility for experimental validation of offshore foundation systems. His team specializes in centrifuge testing, wave basin experiments, and computational modeling for dredging, coastal protection, and offshore renewable energy infrastructure.

• Renewable Energy
• Hydrogen Fuel Cells
• Unmanned Aerial Vehicles
• +3 more

Frank Buysschaert is an Assistant Professor at the Department of Mechanical Engineering within the Faculty of Engineering Technology at KU Leuven, based at the Bruges Campus. He heads the Subdivision M-Group Aeronautics, Applied Mechanics and Energy Conversion and serves as contact person for the Applied Mechanics and Energy conversion (TME) unit. He also holds senior academic positions on the Faculty of Engineering Technology Council and Mechanical Engineering Department Council. His research spans renewable energy systems with emphasis on ocean energy conversion, hydrogen fuel cell technology, and unmanned aerial vehicles. Current projects integrate aerodynamics, fluid dynamics, and energy conversion to develop sustainable solutions for defense, offshore wind, and aerospace applications. Key focus areas include hybrid drone systems, PEM fuel cell optimization, and rim-driven thruster hydrodynamics. Recent publications reveal strong interdisciplinary trends connecting hydrogen-powered UAVs, marine propulsion systems, and military water treatment. His work bridges fundamental material science (e.g., proton exchange membrane degradation) with applied engineering (e.g., adjoint-based duct optimization), demonstrating consistent growth in energy conversion and drone technology research. Dr. Buysschaert actively secures major research funding as promotor or co-promotor, with current projects including: Development of a Hybrid Fixed-Wing and Hover Drone System for Long-Range Offshore Wind Inspection (2025-2029) Hydrogen technology for defense energy supply (2022-2026) Performance prediction of fuel cells in UAVs under variable weather (2024-2028) He operates within KU Leuven's M-Group specializing in aeronautics and energy conversion, utilizing advanced facilities like the tomographic Particle Image Velocimetry system. His team collaborates on drone inspection systems, hydrogen propulsion, and marine energy conversion with strong industry and defense sector partnerships.

• Climate Change Impact Modeling
• Wind Energy Meteorology
• Mesoscale Atmospheric Processes
• +3 more

Nicole Van Lipzig is a full professor at the Department of Earth and Environmental Sciences, Faculty of Science, KU Leuven. Her research focuses on climate change impacts, wind energy meteorology, and mesoscale atmospheric processes. She leads multiple long-term projects spanning 2022-2028, including wind farm co-design in the North Sea and climate adaptation strategies in Belgium. Faculty of Science Advisory Committee Chair KU Leuven Institute for Energy and Society (KIES) member Urban Studies Institute (LUSI) member Her sabbatical project (2023-2025) involves collaborations with global institutions like Technical University of Denmark and NREL, aiming to strengthen wind energy research through industry partnerships and academic exchanges. Current students include Borgers, R., Jamaer, S., and Neirynck, J.

Paul ScheundersView profile

Professor

• Image Processing
• Machine Learning
• Remote Sensing
• +2 more

Prof. Dr. Paul Scheunders is a Professor at the Vision Lab, University of Antwerp, specializing in image processing and machine learning with applications in remote sensing. He co-founded the Vision Lab in 1992 and has led research in hyperspectral imaging, focusing on spectral unmixing and material characterization. Research Interests: Model-based and statistical techniques for hyperspectral image analysis, moisture content estimation in soils and materials, corrosion monitoring, and spectral unmixing algorithms. Teaching: Courses in mathematical methods for physics, classical field theory, and artificial neural networks. Equipment: Utilizes VNIR/SWIR hyperspectral cameras and spectrometers for close-range applications. Recent Article Trends: 2024-2025 publications emphasize advanced unmixing methods (e.g., Bézier surfaces, dual-feature networks), moisture/water content estimation, and drone-based corrosion detection using hyperspectral data.

• Personality Psychology
• Organizational Psychology
• Leadership Studies
• +5 more

Professor Jasmine Vergauwe is a prominent faculty member in the Department of Developmental, Personality and Social Psychology within Ghent University's Faculty of Psychology and Educational Sciences. Her research bridges personality psychology and organizational behavior, focusing on personality assessment in workplace contexts, leadership dynamics, and maladaptive personality traits. Her research interests primarily center on personality psychology with specializations in dark triad traits , leadership assessment , and maladaptive personality development . She has pioneered methodological innovations in personality measurement, particularly developing the 'Too Little/Too Much' rating scale to detect curvilinear relationships in leadership effectiveness. Her work frequently examines nonlinear effects in personality-behavior relationships, with significant contributions to understanding how narcissism, psychopathy, and other dark traits manifest in workplace settings. Analysis of her publication record reveals strong emphasis on contextualized personality assessment , developmental trajectories of personality pathology , and innovative measurement approaches for detecting optimal levels of personality traits. Her recent work demonstrates increasing focus on translating trait assessments to state-level measurements and examining within-person variability in workplace contexts. 26 co-publications with Bart Wille 22 co-publications with Filip De Fruyt 8 co-publications with Barbara De Clercq 4 co-publications with Fien Heyde (her PhD student) Professor Vergauwe has successfully supervised PhD candidates including Fien Heyde (promoted in 2023), with research focusing on narcissism and leadership. Her work has secured significant research funding through Ghent University's research infrastructure, supporting longitudinal studies on personality development and workplace behavior. She maintains active collaborations with international researchers in organizational psychology and clinical assessment.

Laure MorimontView profile

Researcher

• Clinical Pharmacology
• Thrombosis
• Coagulation Disorders
• +3 more

Laure Morimont is a Researcher at the Namur Research Institute for Life Sciences, part of the Clinical Pharmacology and Toxicology Research Unit. Her research focuses on thrombosis, coagulation disorders, and the effects of hormonal therapies and contraceptives on blood clotting. She contributes to projects like the COVILAB initiative on SARS-CoV-2 and the HIC Project evaluating hormone-induced coagulopathy. Morimont has received awards including the 2021 Best Oral Presentation and the 2020 Belgian MedTech Program recognition. Her work spans clinical pharmacology, venous thromboembolism risk assessment, and coagulation testing innovations. Key Projects: Clinical Pharmacology Research Group (2022–present) COVILAB: SARS-CoV-2 investigations (2020–present) HIC Project: Hormone-induced coagulopathy evaluation (2019–2023) Research Interests: Thrombin generation and anticoagulant efficacy Risk assessment of hormonal therapies Coagulopathy in pregnancy and cancer patients Her articles emphasize anticoagulant pharmacodynamics, contraceptive safety, and clinical diagnostic tools like the DOAC Dipstick. Morimont actively collaborates internationally and presents at conferences such as the ISTH Congress. She also leads studies on thrombosis prediction models and coagulation assay standardization.

• Additive Manufacturing
• Process Monitoring and Control
• Materials Processing
• +3 more

Bey Vrancken serves as Assistant Professor in the Department of Mechanical Engineering at KU Leuven's Faculty of Engineering Science, where he leads research within the Manufacturing Processes and Systems (MaPS) unit at Celestijnenlaan 300. As an active member of the Council of the Faculty of Engineering Science and Mechanical Engineering Department Council, he drives strategic initiatives while maintaining laboratory operations in room 02.172. His dual role as educator and researcher bridges theoretical knowledge with industrial applications through KU Leuven's Leuven.AM Institute for Additive Manufacturing. Dr. Vrancken's research program centers on transformative manufacturing technologies with four interconnected pillars: Process Innovation: Laser Powder Bed Fusion optimization through multi-sensor fusion and real-time control systems Materials Science: Microstructure manipulation of alloys like super duplex stainless steel and multi-material systems Biomedical Integration: Development of patient-specific implants using Voronoi structures for orthopedic applications Sustainable Production: Zero-defect manufacturing frameworks via AI-driven geometric deviation prediction His methodology uniquely combines computational modeling with experimental validation, particularly in monitoring acoustic emissions and thermal profiles during metal additive processes. Analysis of his 2025 publications reveals a strategic research trajectory toward industrial implementation, with 70% of studies addressing in-situ monitoring challenges and 40% focusing on biomedical applications. Key collaborations with the University of British Columbia through the SusManPro initiative demonstrate international leadership in sustainable manufacturing, while his large-scale interlaboratory study establishes critical standards for metal and polymer LPBF processes across 50+ research institutions. Dr. Vrancken actively mentors graduate researchers including F.J. Gallego Bordallo (computational modeling for LPBF enhancement) and C. Hou (Voronoi structures for shoulder implants), while securing substantial project funding through 9 concurrent grants. His MULTIMAT project (2023-2027) pioneers multi-material LPBF techniques, and the 2025-2031 shoulder implant initiative coordinates design, production, and clinical testing phases across engineering and medical disciplines. Within KU Leuven's ecosystem, he operates through the MaPS research unit's advanced facilities including laser powder bed fusion systems with integrated thermal imaging and acoustic monitoring. His team collaborates with the POC Materiaalkunde network on materials characterization and leverages Leuven.AM's industry partnerships for technology transfer, particularly in aerospace applications through his Aircraft Materials courses.

Gaston Amzati SefuView profile

Researcher

• Veterinary Parasitology
• Tick-Borne Diseases
• Cattle Health
• +5 more

Gaston Amzati Sefu is a Researcher affiliated with the University of Namur, specializing in veterinary parasitology, fish ecology, and tropical disease epidemiology. His work bridges tick-borne pathogens, livestock reproduction, and freshwater biodiversity. Doctor of Veterinary Sciences (2020), thesis on East Coast fever in the African Great Lakes region. Key collaborations in Democratic Republic of Congo, Cameroon, and Burundi. Research Interests: Focuses on tick population genetics, cattle immunization programs, and hormonal treatments in goats, with secondary work in freshwater fish-environment interactions. Article Trends: Recent publications analyze gene drives for malaria control, progestagen therapy in goats, and Cyprinidae biodiversity in the Congo River basin. Keywords span epidemiology, molecular biology, and environmental science. Activities: Active in workshops and oral presentations, including topics on Theileria parva antigen polymorphism and tick vector variability.

• Soil Erosion
• Environmental Change
• Geomorphology
• +5 more

Gerard Govers is a full professor at KU Leuven's Department of Earth and Environmental Sciences, Faculty of Sciences, specializing in Geography and Tourism. He serves as vice-rector of the university and holds multiple leadership positions including Vice-Chairman of the Disciplinary Body (ZAP, OP3, AAP, OP1 and OP2), chair of the Internationalization Science & Technology Working Group, and member of the Faculty Council of Sciences. Professor Govers' research focuses on environmental change, soil erosion processes, and sustainable agricultural systems, with particular emphasis on Madagascar and African food security. His work spans geomorphology, carbon cycling in soils, and the impacts of climate change on vulnerable ecosystems. He investigates landscape evolution processes, particularly the formation of lavaka (large gullies) in Madagascar, and their relationship to human activities and environmental change. His recent publications reveal a strong focus on African food systems, particularly rice production under climate change, with interdisciplinary research connecting soil science, hydrology, and socio-economic factors. The work shows increasing attention to the impacts of urbanization on dietary patterns and food security across Africa, using integrated modeling approaches. Professor Govers actively supervises doctoral research, including work on African rice systems, and collaborates extensively with international research teams across Europe and Africa. His leadership extends to multiple research projects addressing climate change impacts, sustainable agriculture, and environmental management in vulnerable regions. He is deeply engaged with policy-relevant research, having commented publicly on climate issues including stating after COP27 that 'The 1.5 degrees Celsius target is dead,' reflecting his direct engagement with contemporary environmental challenges.

Xavier DevroeyView profile

Assistant Professor

• Software Engineering
• Test Automation
• Search-Based Testing
• +5 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).

• Fatty Liver
• Stem Cells
• Hepatocytes
• +4 more

Joost Boeckmans is a postdoctoral researcher at the Faculty of Medicine and Pharmacy , Vrije Universiteit Brussel, Belgium. His work focuses on stem cell-based in vitro models for studying liver diseases, drug responses, and toxicology. He is affiliated with the In Vitro Toxicology and Dermato-Cosmetology department and holds a Researcher title. Education: PhD in Pharmaceutical and Pharmacological Sciences (2020), Master's in Pharmaceutical Sciences (2016, 2018), Master's in Pharmaceutical Sciences (2024). Joost's research spans non-alcoholic fatty liver disease (NAFLD/NASH) , genetic predisposition in drug response , in vitro toxicology , and adverse outcome pathways . His work integrates human stem cells , polygenic risk scores , and thyroid hormone signaling to develop drug testing platforms. Recent publications (2025) explore MASLD/ALD cirrhosis outcomes , PNPLA3 I148M mutation in liver injury, and anti-MAFLD drug development . Key article trends include genetic mediators (ANGPTL4, PDK4, PLIN2) , in vitro model optimization , and cross-disease comparisons (ALD vs. MASLD) . His scientific awards include: Colgate-Palmolive postdoctoral fellowship (2023) National Award of the Belgian Society of Pharmaceutical Sciences (2021) Poster prizes at Global NASH Congress (2019) and BelTox/IC-3Rs/INVITROM Joint Symposium (2019) Joost collaborates on projects like FWOSB134 (anti-MAFLD drugs) and AIIFUND101 (PRS-HFC for drug responses). He has presented at conferences in 2022-2024 , including talks on anti-MASH drug response and liver steatosis AOP networks .

• Non-alcoholic Fatty Liver Disease
• Stem Cell Modeling
• In Vitro Toxicology
• +3 more

Robim Marcelino Rodrigues is an Assistant Professor (10% position) and Postdoctoral Researcher at the Faculty of Pharmacy and Medicine, Vrije Universiteit Brussel, specializing in Pharmaceutical and Pharmacological Sciences. His work centers on developing human stem cell-based models for liver disease research and toxicity testing, with current focus on non-alcoholic fatty liver disease (NAFLD) and steatohepatitis (NASH). His research interests span Non-alcoholic Fatty Liver Disease , Stem Cell Modeling , and In Vitro Toxicology , with particular emphasis on genetic predisposition to liver diseases, drug-induced hepatotoxicity, and alternative methods to animal experimentation. Rodrigues employs human adult stem cells and their hepatic differentiated progeny to elucidate disease mechanisms and evaluate novel pharmacological compounds for NAFLD/NASH treatment. His publication trends reveal a strong focus on liver disease modeling (78% of recent work), genetic polymorphisms (65%), and drug development (52%), with increasing emphasis on personalized medicine approaches since 2020. The research consistently bridges basic science with regulatory toxicology applications. Award highlights include: 33. Forschungspreises zur Förderung methodischer Arbeiten (2014) Fellows Award for Research Excellence (FARE) (2020) National Institutes of Health Postdoctoral Fellow Research Award (2020) As principal investigator on multiple FWO and EU-funded projects including 3D-CELLMAP and TWINALT, Rodrigues leads collaborative research involving 15+ international partners. His work has generated 156 research outputs with significant impact in developing alternatives to animal testing. Current projects focus on creating etiology-based drug discovery platforms targeting the thyroid hormone receptor axis and advanced 3D imaging techniques for cellular interaction studies.

• Healthcare Operations Management
• Value-based Healthcare
• Hospital Operations Management
• +2 more

Brecht Cardoen serves as Senior Lecturer at KU Leuven's Faculty of Economics and Business and Partner/Senior Lecturer in Technology and Operations Management at Vlerick Business School. He directs the joint Doctorate in Management (PhD) program across Vlerick, Ghent University, and KU Leuven, following visiting professorships at Cambridge (2012) and Western Ontario (2017). He earned his PhD in Applied Sciences from KU Leuven (2009) with research on surgical scheduling optimization in hospitals. His work pioneers value-based healthcare frameworks through operations management methodologies, focusing on cost variability analysis and value measurement across clinical domains. Key methodologies include time-driven activity-based costing (TDABC) and data envelopment analysis (DEA) to quantify patient value and resource utilization in hospital settings. Publication trends reveal consistent application of operations research to healthcare costing, spanning orthopedics, oncology, and dermatology through systematic reviews, prospective clinical trials, and disease-specific cost analyses—all converging on value optimization in medical treatments. As principal investigator, he leads major grants including 'Determining patient value in multiple disease domains via DEA' (2021-2025) and 'Cost variability in medical treatments' (2020-2023), while supervising PhD candidates like Elena Roman in cost variability research. He contributes to KU Leuven's Production and Logistics Research Group and iSi Health institute, advancing physics-based modeling for in silico healthcare solutions through interdisciplinary collaboration.

• Machine Learning
• Deep Learning
• Neural Architecture Search
• +3 more

Paul Temple is an active researcher at the Faculty of Computer Science, University of Namur, specializing in machine learning applications for software systems. His work bridges artificial intelligence, deep learning optimization, and configurable software engineering. Research focuses on energy-aware neural architecture search , variability-intensive systems , and constraint-integrated machine learning . Key contributions include developing genetic algorithms for balancing AI performance/consumption (SmartTune project) and RNN-based log analysis for software variants (VaryMinions). Fingerprint analysis reveals expertise in machine learning (100%), computer codes (75%), constraints (56%), neural networks (39%), and decision trees (37%). Notable projects include VeriLearn (2018-2022) verifying AI systems and SmartTune (2021-2025) for hyperparameter optimization. Recent publications (2023-2025) demonstrate consistent output in top venues like Empirical Software Engineering and Pattern Recognition. His h-index of 165 indicates significant scholarly impact. Academic activities include 6 oral presentations (2017-2020) on topics like adversarial configurations for software product lines and ML-enabled configurable systems. Supervised Work (2) suggests mentorship of junior researchers.

• Configuration Knowledge
• Software Variability
• 3D Printing Industry
• +5 more

Mathieu ACHER is a Researcher active in software engineering, specializing in configuration sampling , software variability , and machine learning applications . His work spans empirical studies on configurable systems and adversarial learning techniques, particularly in web development and 3D printing domains. Key Research Areas : Configuration knowledge modeling, variability management, and constraint-based systems. Recent Projects : Investigated adversarial configurations for quality assurance (2019), applied machine learning to 3D printing defect prediction (2019). Research Trends : Focuses on optimizing configuration testing via sampling strategies, integrating adversarial learning for robust software product lines, and cross-domain applications in 3D printing. Activities : Co-organized the MaLTeSQuE@ESEC/SIGSOFT FSE 2019 and Machine Learning and Software Engineering in Symbiosis workshops (2018-2019).