جستجوی استاد راهنمای دانشگاهی

Zhanwei Wang is an Unpaid employee at the Department of Applied Mechanics and the Federated labs AI and Robotics at Vrije Universiteit Brussel. His research focuses on soft robotics, self-healing materials, fluid dynamics, and vacuum technology. He holds a PhD in Mechanical Engineering from VUB (2024), focusing on encoding physical intelligence into soft robotics via smart materials and continuum mechanics. Prior degrees include a Master's in Chemical Process Equipment (Northeastern University, China, 2020) and a Bachelor's in Process Equipment and Control Engineering (Northeastern University, China, 2017). His work emphasizes interdisciplinary innovation in robotics, sustainability, and material science. Key Research Areas: Self-healing robots, 3D printing for robotics, fluid dynamics in soft systems. Recent Collaborations: Peer reviews for Sensors Journal, IEEE Robotics & Automation Letters, and the 2025 IEEE/RSJ IROS conference. His publications explore adaptive robotic systems, sensor integration, and sustainable material solutions. He participated in the IMEC ITF World 2024 conference and contributed to media discussions on self-locking suction cups for robots.

• Soft Robotics
• Self-Healing Materials
• Fluid Dynamics
• +۳ مورد دیگر

Klaas Van Gelder is an Assistant Professor of History at Vrije Universiteit Brussel (VUB) , specializing in early modern history. He is affiliated with the SHOC research group and serves as Archivist at the General State Archives in Brussels. His academic journey includes an MA (2005) and PhD (2012) from Ghent University, followed by postdoctoral fellowships at Ghent and the University of Vienna. He has held visiting roles, including at Saint Mary's University in Halifax (2024). Van Gelder’s research focuses on social, political, and cultural history of early modern Europe, particularly access to justice, litigants’ profiles, and legal rituals. Key projects include the FED-tWIN project ACCESS , examining Brabant’s legal systems, and studies on seigneurial police regulations. He has authored books like Regime Change at a Distance (2016) and edited volumes such as More Than Mere Spectacle (2021). He has received awards including the André Schaepdrijverprijs (2005) and Frans Stephan Preis (2014). His grants and collaborations include leadership roles in projects like Onderzoeksgroep Alliantie VUB-UGent . He co-edits journals and participates in international conferences, addressing topics like AI in historical archives and rural revolts.

• Social History
• Political History
• Cultural History of Early Modern Europe
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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
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Geert Deconinck is a full professor at KU Leuven , leading the Electrical Energy Systems and Applications (ELECTA) research group within the Department of Electrical Engineering (ESAT). He also serves as scientific leader of the EnergyVille research center's algorithms domain, focusing on smart electrical networks and thermal systems. M.Sc. and Ph.D. from KU Leuven Head of ELECTA since 2012 (10 professors, 8 postdocs, 70+ PhDs) Over 8 million EUR research budget in last 5 years 44 completed PhDs and 10 current advisees IEEE Transactions editorial board member His research spans smart grid architectures , distributed control , and cyber-physical security , with recent focus on EV-grid integration , renewable energy democratization , and multi-carrier energy systems . Current projects include: Smart Charging - E-Mobility meets Renewable Energy Early Detection and Defense Systems for Smart Grids Open-source P2P energy sharing platforms Microgrid control strategies for PV-battery systems Awarded IET Fellow and IEEE Senior Member status, his work combines machine learning with power systems engineering through both theoretical modeling and experimental validation . He has contributed over 575 publications with 9800+ Google Scholar citations.

• Smart Grids
• Distributed Control Systems
• Renewable Energy Integration
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Peter Van Puyvelde is a Full Professor at KU Leuven's Faculty of Engineering Sciences, where he leads research at the Soft Matter, Rheology and Technology (SMaRT) unit within the Department of Chemical Engineering. He is an active member of the Applied Rheology and Plastics Processing Division and the Leuven.AM Institute for Additive Manufacturing. His academic responsibilities include membership in the Faculty Council of Engineering Sciences and departmental committees. His core research focuses on: Polymer processing and complex fluid dynamics In-situ characterization of flow-microstructure relationships Flow-induced crystallization phenomena Development of sustainable polymer materials Additive manufacturing technologies Professor Van Puyvelde's recent publications (2023-2025) demonstrate strong emphasis on sustainable polymer systems including lignin-based materials, humins valorization, bioplastics, and green additives. His work frequently employs advanced characterization techniques like fast-scanning calorimetry and synchrotron X-ray scattering to study crystallization kinetics and microstructure development in complex polymer systems. He currently supervises PhD students working on nanofiltration membranes and reinforced polymer parts. His extensive research portfolio includes leadership roles in multiple ongoing projects: Polylactic acid bioplastics development (Co-promoter) Lignin-based flame retardants (Co-promoter) Humins valorization for functional polymers (Co-promoter) Ionic liquids for enhanced oil recovery (Promoter) Competition between crystallization and crosslinking (Promoter) Additive manufacturing of polymer composites (Co-promoter)

• Polymer Processing
• Complex Fluids
• Flow-Induced Crystallization
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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 .

• Microbial community dynamics
• Microbial systems biology
• Bioinformatics
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David Mwambari serves as Associate Professor at KU Leuven's Faculty of Social Sciences within the Unit Leuven International and European Studies (LINES). He leads the ERC-funded TMSS project on Life Narratives of Violence Among Refugees from Africa's Great Lakes Region and holds affiliations with the Oxford Consortium on Human Rights and the Centre for Mediation in Africa at the University of Pretoria. His educational background includes BA/MA in International Relations from United States International University-Africa, MA in Pan-African Studies from Syracuse University, and PhD in History from La Trobe University. He previously held academic positions at King's College London, Ghent University, and United States International University-Africa. Mwambari's research centers on memory studies with emphases on post-genocide Rwanda, colonial durabilities, and refugee narratives. His work examines how cultural memory shapes state formation, peacebuilding, and identity politics through interdisciplinary methodologies blending historical analysis, ethnography, and critical theory. Recent projects investigate vernacular memory practices during crises and the spatial dimensions of post-conflict reconstruction. His scientific contributions include the monograph Navigating Cultural Memory (Oxford University Press, 2023), co-edited volume Beyond History (Rowman & Littlefield, 2020), and editorial roles for Qualitative Research journal and Brill's 'Mobilizing Memory' series. His publications demonstrate evolving focus from leadership studies toward memory politics and decolonial research methodologies. European Research Council (ERC) Grant for TMSS Project Fellow at Churchill College, University of Cambridge African Academic Diaspora Fellow at CODESRIA FWO Postdoctoral Research Fellowship Mwambari actively mentors early-career scholars across Africa, Latin America, and East Asia while contributing to public discourse through Al Jazeera and community projects training history teachers in East Africa. His consultancy work addresses cross-disciplinary challenges in healthcare, education, and security, reflecting his commitment to applied scholarship beyond traditional academic boundaries.

• Memory Studies
• Post-Genocide Rwanda
• African Security
• +۵ مورد دیگر

Pedro Fardim is a Professor at the KU Leuven , affiliated with the Faculty of Engineering Sciences, Department of Chemical Engineering , and leads the Chemical and Biochemical Reactor Technology and Safety (CREaS) division. He also serves as President of EPNOE (European Polysaccharide Network of Excellence) and is a member of multiple institutes including KU Leuven Brain Institute (LBI) , Institute for Single Cell Omics (LISCO) , and Institute for Micro- and Nano-scale Integration (LIMNI) . PhD in Chemistry, State University of Campinas (UNICAMP), Brazil Habilitation in Chemical Engineering, Åbo Akademi University, Finland Pedro’s research focuses on topochemical engineering —mimicking natural bioassembly processes in trees and microorganisms to create sustainable materials and biofabrication technologies . His work spans drug delivery , regenerative medicine , biopolymer engineering , and green chemistry , with applications in pharmaceuticals , cosmetics , and energy . Recent projects include hydrogels for wearable sensors , biohybrid materials for bone tissue engineering , and lignin valorization using hydrotropic solvents. His scientific awards include Fellowships from the Royal Society of Chemistry and the International Academy of Wood Science , along with membership in the American Chemical Society . He teaches Chemical Engineering for Human Health , Biochemical Process Engineering , and Biopolymer-based Sustainable Technologies .

• Chemical Engineering for Human Health
• Biochemical Process Engineering
• Biomass Engineering
• +۱۲ مورد دیگر

Julie Dethier is a Research Fellow at the University of Liège, affiliated with the Faculty of Applied Sciences and Montefiore Institute. Her research bridges cellular neuroscience and network dynamics, with focus on pathological rhythms in Parkinson's disease and brain-machine interface development. She completed her Ph.D. in 2015 under Prof. Sepulchre's supervision. Her academic journey includes: Ph.D. in Systems and Modeling (2015), University of Liège with Princeton University research stay (2014-2015) Master of Science in Bioengineering (2011), Stanford University (Brains in Silicon lab) Master of Applied Sciences in Biomedical Engineering (2010, summa cum laude), University of Liège Bachelor of Applied Sciences (2008, summa cum laude), University of Liège Dr. Dethier investigates how cellular feedback mechanisms generate pathological beta oscillations in basal ganglia circuits, disrupting motor function in Parkinson's disease. Her computational approaches model the transition from unicellular rhythms to network-level oscillations, with implications for deep-brain stimulation therapies. She integrates electrophysiological data with dynamical systems theory to explain robustness and modulation in neural circuits. Her publication record demonstrates evolving expertise from brain-machine interface hardware (2011-2012) to fundamental neural mechanism studies (2013-2015). Key themes include spiking neural network decoders, cellular feedback loops, and pathological oscillation generation. Work spans computational modeling, neuromorphic engineering, and translational neuroscience with applications in neuroprosthetics. Major recognitions include: WBI excellence grant for Princeton research (2014) LEAR Foundation Fellowship for Cambridge research (2013) Audience Award at ULg thesis competition (2013) IEEE EMBS Best Poster Award (2011) Fulbright Honorary Fellowship and Rotary International Fellowship (2010) Funded by competitive F.R.S.-FNRS and international fellowships, her research involved cross-institutional collaboration with Princeton, Cambridge, and Stanford teams. While no formal advisees are listed, her publications reflect mentorship through co-supervised projects and conference presentations. Current work extends her doctoral thesis on multiscale neural dynamics. She maintains active ties with the Systems and Modeling Research Unit at Liège, Brains in Silicon lab at Stanford, and participates in Benelux neuroscience networks through the Montefiore Institute.

• Computational Neuroscience
• Neural Oscillations
• Brain-Machine Interfaces
• +۲ مورد دیگر

Ruben Verborgh is a Professor of Decentralized Web Technology at the Ghent University – imec and a Visiting Fellow at the Oxford Martin School (University of Oxford). He leads the Internet Technology and Data Science Lab (IDLab) and co-founded the Solid platform with Tim Berners-Lee to re-decentralize the Web. His research focuses on Linked Data Fragments , a paradigm for Web-scale query execution, and explores decentralized data governance , user-controlled data ownership , and rule-based Web agents for policy enforcement. He has co-authored two books on Linked Data and contributed to over 250 publications. Recent articles highlight trends in decentralized data ecosystems , including ODRL policy interoperability , event notification systems , and personal data vaults . His work bridges Linked Data , hypermedia APIs , and privacy-preserving technologies . Verborgh collaborates with institutions like MIT, Oxford, and the European Commission, and advises companies through Inrupt . His labs ( IDLab , Solid Ecosystem ) focus on sustainable data-driven societies.

• Decentralization
• Linked Data
• Querying
• +۷ مورد دیگر

Hans Steenackers is an Associate Professor at the Faculty of Bioscience Engineering, KU Leuven, where he leads the MICA Lab within the Department of Microbial and Molecular Systems. His research focuses on innovative antimicrobial strategies targeting microbial communities, including socio-active, anti-resistance, and observation-guided approaches. Key research areas include biofilm dynamics antimicrobial resistance evolution in situ microbial monitoring Salmonella Typhimurium pathogenesis anti-virulence therapies His recent publications highlight advancements in biofilm inhibition, triggered antimicrobial release systems, and evolutionary robustness of probiotics. The majority of his work involves interdisciplinary collaborations, particularly in projects like TARDIS, ULTiMatE-MS, and MICROTUNe, with a focus on translating fundamental research into clinical applications. As an educator, he teaches advanced courses in microbial physiology, biofilm research, and applied biotechnology. The MICA Lab actively partners with academic and industrial stakeholders in initiatives such as the Flemish Scientific Research Network on Biofilms and the Bioclean H2020 project.

• Antimicrobial Development
• Microbial Community Behavior
• Biofilm Research
• +۵ مورد دیگر

Stefan Vandewalle is a full professor at the Department of Computer Science, Faculty of Engineering Sciences, KU Leuven. His research focuses on numerical analysis, applied mathematics, and computational methods for stochastic differential equations, wind energy modeling, and uncertainty quantification. Department Chair, KU Leuven Member, Subdivision Numerical Analysis and Applied Mathematics Member, iSi Health Institute Observer, Faculty Council of Sciences Chair, Department Council for Computer Science His recent work explores multiscale modeling, Monte Carlo methods, and data assimilation techniques. Projects include micro-macro Parareal algorithms, wind turbine aeroelasticity, and turbulent flow reconstruction for wind farms. He supervises PhD candidates and collaborates on interdisciplinary studies involving structural mechanics and renewable energy systems. Publications highlight advancements in parallel-in-time methods, stochastic optimization for tokamak reactors, and DNS-based control of turbulent flows. Key keywords: Multiscale numerical methods Uncertainty quantification Wind energy simulation Monte Carlo algorithms PDE-constrained optimization Stochastic differential equations He contributes to academic governance as a member of extended faculty boards and evaluation committees.

• Numerical Analysis
• Applied Mathematics
• Computational Fluid Dynamics
• +۵ مورد دیگر

Charles-Henry Bertrand Van Ouytsel is a Research Assistant and Visiting Lecturer at Université catholique de Louvain , affiliated with the Louvain Polytechnic School (EPL) and the Computer Engineering Center (INGI) . His work focuses on malware analysis , symbolic execution , and machine learning for cybersecurity applications. Research Areas : Packing detection, intrusion detection systems, side-channel security, and adversarial machine learning. Teaching : Involved in courses like Secured systems engineering (LINFO2144) and Software engineering and programming systems seminar (LINFO2359) . His recent publications emphasize malware obfuscation techniques and security evaluation frameworks . Collaborations with Axel Legay and others highlight his contributions to tool development (e.g., Packing-Box , SEMA ). No scientific awards are explicitly mentioned.

• Malware Analysis
• Symbolic Execution
• Machine Learning
• +۳ مورد دیگر

Professor Kaat Alaerts is a leading researcher at KU Leuven's Faculty of Movement and Rehabilitation Sciences, where she serves as Head of the Neurorehabilitation Research Group and Professor in the Department of Rehabilitation Sciences. Her work bridges neuroscience, psychology, and rehabilitation science to develop innovative interventions for stress regulation and social-cognitive functioning, with a particular focus on autism spectrum disorder and related conditions. Her primary research interests span neurorehabilitation , oxytocin research , autism spectrum disorder , stress regulation , mindfulness and meditation , neurostimulation , and social cognition . Dr. Alaerts employs a multidisciplinary approach that combines neuroscientific, physiological, and behavioral methods to study both clinical effectiveness and underlying brain mechanisms of neuromodulatory interventions. The research output demonstrates a strong focus on exploring the therapeutic potential of oxytocin, particularly for autism spectrum disorder. Her work examines both the standalone effects of oxytocin and its synergistic effects when combined with mindfulness training or other interventions. A growing body of research also investigates the gut-brain axis in autism and the role of microbiome composition in social and stress-related difficulties. Dr. Alaerts has received notable recognition including the KAGB Clinical Medicine Award in September 2024 for her work on oxytocin administration in children with autism. Her research group has also been honored with multiple "Belgium's got talent" prizes from the Belgian College of Neuropsychopharmacology and Biological Psychiatry. As a dedicated mentor, Dr. Alaerts supervises numerous PhD students and postdoctoral researchers, including Margaux Evenepoel, Jellina Prinsen, Elise Tuerlinckx, and others who have made significant contributions to the field. Her research is supported by multiple substantial grants, including several ongoing projects running through 2028-2029 that investigate oxytocin's role in stress regulation for breast cancer survivors, autism, and other conditions. The Neuromodulation Laboratory, which Dr. Alaerts leads, focuses on three core domains: oxytocin neuropsychopharmacology, contemplative science and combinatory approaches, and neuroregulation techniques. The lab operates within a multidisciplinary network that includes the LBI - KU Leuven Brain Institute and maintains strong collaborative relationships across various research institutions.

• Neurorehabilitation
• Oxytocin Research
• Autism Spectrum Disorder
• +۶ 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.

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