جستجوی استاد راهنمای دانشگاهی

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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Prof. Tom Van Gerven is a chemical engineering specialist at KU Leuven's Process Engineering for Sustainable Systems (ProcESS) group. His research focuses on process intensification using alternative energy forms (ultrasound, microwaves, light) for sustainable metallurgy, mineral carbonation, and solvent extraction applications. He leads innovations in low-grade ore processing and carbon capture technologies. Key Research Areas: Process intensification, green metallurgy, CO₂ utilization, and advanced crystallization techniques Recent Work: 2025 publications highlight reactor optimization, mineral carbonation of industrial residues, and acoustic/microwave-assisted separations Technical Expertise: CFD modeling, sonochemical reactors, ionic liquid extraction, and environmental impact analysis

• Process Intensification
• Chemical Engineering
• Sustainable Metallurgy
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Kevin Van Geem is a full professor at Ghent University's Faculty of Engineering and Architecture, leading the Laboratory for Chemical Technology (LCT) and directing the Center of Sustainable Chemistry. His research focuses on thermochemical reaction engineering, transitioning fossil-based processes to renewable feedstocks, and integrating machine learning with chemical analysis. Director of Ghent University's pilot plants for steam cracking and chemical recycling Author of over 400 publications and founder of a spin-off company Specializes in kinetic modeling, process intensification, and sustainable chemistry His work spans chemical recycling, olefin production, and advanced analytical techniques for complex hydrocarbon mixtures. Recent articles highlight AI-driven catalysis, pyrolysis of polymers, and plasma-assisted CO2 utilization. Scientific awards include: Fulbright Research Scholar He bridges academia and industry through patented technologies and collaborative pilot-scale projects.

• Thermochemical Reaction Engineering
• Sustainable Chemistry
• Kinetic Modeling
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Vân Anh Huynh-Thu is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Liège (Belgium). Her research focuses on improving machine learning techniques with an emphasis on model interpretability. She is based at B28: Systems and Modeling in Quartier Polytech, Allée de la Découverte 10, 4000 Liège, Belgium. Her primary research interests span Machine Learning , Bioinformatics , and Gene Regulatory Network Inference . Dr. Huynh-Thu has developed several influential methods including GENIE3, dynGENIE3, and Jump3 for inferring gene regulatory networks from expression data. Her work bridges the gap between machine learning theory and biological applications, particularly in understanding complex disease mechanisms through computational approaches. She has made significant contributions to interpretable machine learning models that maintain high predictive accuracy while providing insights into feature importance and model behavior. Her research demonstrates a progression from purely computational methods toward translational applications in medical research. Analysis of her recent publications reveals a clear trajectory from foundational work on gene regulatory network inference toward broader applications in medical research, particularly in Crohn's disease. Her research increasingly integrates machine learning with clinical applications, demonstrating a shift from purely computational methods to translational research with direct medical implications. The consistent emphasis across her work is on interpretability, rigorous validation, and the application of tree-based methods to complex biological systems, with a growing focus on proteomics and biomarker discovery for inflammatory bowel diseases. Dr. Huynh-Thu maintains an active GitHub presence with implementations of her methods, demonstrating her commitment to open science and reproducibility. Her software repositories have garnered significant attention from the research community, with GENIE3 alone having 88 stars and 37 forks on GitHub. She has developed multiple implementations of her algorithms in Python, MATLAB, and R, making them accessible to researchers across different computational environments. Her work has been influential in the DREAM challenges, where GENIE3 was the best performer in two network inference competitions.

• Machine Learning
• Bioinformatics
• Gene Regulatory Network Inference
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Ken Broeckhoven holds a prominent academic position at Vrije Universiteit Brussel (VUB) as a Professor in the Department of Bio-engineering Sciences, within the Chemical Engineering and Industrial Chemistry school. His roles include leadership in research groups and administrative positions such as Dean and Department Chair. Specializing in chromatography and separation science, his work focuses on advancing techniques like liquid chromatography, supercritical fluid chromatography, and hydrophobic interaction chromatography for applications in protein analysis and biotherapeutics. He has authored over 236 research outputs and secured 13 major projects, including ones on column performance and sustainable chemical technologies. His contributions have earned 20 scientific awards, including top poster prizes and innovation recognitions. Broeckhoven actively participates in PhD committees and international conferences, emphasizing collaborative research and cutting-edge instrumentation development. Education: Not explicitly detailed in the provided text. Research Interests: Chromatography systems optimization, diffusion dynamics, column design, and analytical method development for complex biological samples. His work bridges theoretical modeling with practical applications in separation science. Recent Research Trends: Recent articles emphasize overcoming extracolumn band broadening, advancing HIC methods, and leveraging computational fluid dynamics (CFD) to enhance column efficiency. His studies often integrate experimental and numerical approaches to dissect separation mechanics. Awards: Includes 1st Prize Poster Award (HPLC 2008), Analytical Science Advances Best Poster (2020), and recognition for master’s thesis supervision (2012). Grants & Activities: Leads projects like the OZR Basisfinanciering voor Grote Onderzoeksgroepen (2024–2029) and participates in over 105 professional activities, including talks at global conferences. Supervises 12 students, including Timothy Januarius (2024) and T. Swier (2015).

• Chromatography
• Separation Science
• Analytical Chemistry
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Amael Poulain is a hydrogeology researcher at the University of Namur specializing in karst systems and groundwater dynamics. With a PhD completed in 2017 under supervisor Hallet V., Poulain has established a strong research profile focusing on vadose zone processes, tracer testing, and hydrological monitoring in karst environments. Their work combines field measurements with computational modeling to understand complex groundwater systems in Belgian karst regions. PhD in Geology (2017), University of Namur Principal Investigator on 6 research projects (2017-2023) 16 research outputs including journal articles and conference contributions Recipient of Young Karst Researcher Prize (2015) Active contributor to international karst research conferences Poulain's research focuses on understanding groundwater recharge processes in karst systems through innovative monitoring techniques. Their work examines solute transport, breakthrough curve analysis, and the impact of flash flood events on groundwater systems. Key contributions include developing ultra-portable fluorometry for dye tracing in remote karst environments and investigating the relationship between surface water features and underground flow paths in Belgian karst regions. Analysis of Poulain's 16 research outputs reveals consistent focus on experimental hydrogeology in karst environments, particularly using tracer tests and novel monitoring technologies. The research spans vadose zone processes, breakthrough curve analysis, and the development of field instrumentation for hydrological monitoring. Recent work (2020-2023) shows increasing emphasis on technological applications including fluorimeter industrialization and gravity monitoring techniques. Young Karst Researcher Prize (2015) awarded at conference in Birmingham, UK Recognition for contributions to groundwater research and karst hydrology Active participation in international karst research community Poulain leads multiple research projects including STREAM fluorimeter industrialization and eco-village construction expertise. Their work bridges academic research and practical applications through spin-off development for hydrological monitoring equipment. As Principal Investigator on projects like 'Expertise of tracing test at the ponds of Villeneuve,' Poulain demonstrates strong grant acquisition and project management capabilities. The research involves collaboration with multiple institutions across Belgium's karst regions. Poulain's laboratory work focuses on hydrological monitoring in karst environments, particularly through the STREAM project which develops fluorometric solutions for groundwater monitoring. Their research utilizes cave percolation monitoring, gravity measurements, and electrical resistivity tomography to study water movement through vadose zones. The work is conducted primarily in Belgian karst regions including Rochefort and Furfooz, with emphasis on practical applications for water resource management.

• Vadose Zone Hydrology
• Groundwater Recharge
• Dye Tracer Techniques
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Maarten Bassier is an Assistant Professor (tenure track) at KU Leuven, affiliated with the Department of Civil Engineering within the Faculty of Engineering Technology. He is based at the Geomatics unit operating at the Ghent and Aalst Campuses. His academic profile combines research, teaching, and institutional service, with significant contributions to the field of digital construction technologies. As senior academic staff, he serves on both the Council of the Faculty of Engineering Technology and the Civil Engineering Department Council, actively participating in institutional governance while maintaining a robust research program focused on Scan-to-BIM methodologies and geospatial applications in construction. Dr. Bassier's research centers on Scan-to-BIM methodologies, which involve converting 3D scans of existing buildings into Building Information Models. His work bridges geomatics, computer vision, and civil engineering, with applications in construction progress monitoring, infrastructure inspection, and heritage documentation. He applies machine learning techniques to automate aspects of the modeling process, particularly semantic segmentation of point clouds and integration of UAV (drone) data. His research increasingly incorporates deep learning approaches for object detection, segmentation, and completion in complex built environments, with practical applications spanning road construction, bridge inspections, and electrical substation modeling. His interdisciplinary approach connects civil engineering with computer science to solve practical construction challenges through digital innovation. Bassier's recent publication record demonstrates a strong focus on automating the Scan-to-BIM process through advanced computational techniques. His work spans multiple application domains while maintaining a consistent methodological thread of integrating sensing technologies with semantic understanding of construction environments. The trajectory of his research shows increasing sophistication in machine learning applications, moving from basic point cloud processing to complex semantic understanding and automated model generation. His publications appear in high-impact journals across civil engineering, remote sensing, and computer vision domains, reflecting the interdisciplinary nature of his work. SESAME - Semantic Segmentation of Electrical Substations and Derived Models for Engineering (2024-2026) - Promotor UAV-assisted bridge inspections (2022-2027) - Co-promotor XR-empowered dynamic reality modeling for AECO applications (2021-2026) - Co-promotor Digitization in road construction: automating as-built models (2020-2026) - Co-promotor SCAN-to-BIM Automation of as-built BIM production through digitization and machine learning (2020-2025) - Co-promotor As a member of the Division Digital and Sustainable Civil Engineering and the Subdivision Geomatics Ghent, Dr. Bassier contributes to KU Leuven's research ecosystem focused on digital transformation in civil engineering. His teaching portfolio includes courses on BIM, industrial measurements, Scan-to-BIM, 3D modeling, and geomatics, preparing the next generation of civil engineers for the digital construction landscape. His work represents the cutting edge of digital construction technologies, with practical applications that address real-world challenges in infrastructure development and maintenance.

• Scan-to-BIM
• Geomatics
• Building Information Modeling
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Maarten Blommaert is an Assistant Professor at the Department of Mechanical Engineering, Faculty of Engineering Technology at KU Leuven. He leads the Applied Mechanics and Energy conversion (TME) unit at the Geel Campus and heads the Subdivisie EnergyVille TME. His research focuses on numerical optimization of thermal systems, particularly district heating networks, additive manufactured heat exchangers, and plasma-facing components for nuclear fusion reactors. Assistant Professor, KU Leuven Head, Subdivisie EnergyVille TME Member, KIES Institute Member, Leuven.AM Institute Member, EnergyVille Blommaert's research explores three main areas: heat network optimization through automated design tools like PATHOPT, additive manufacturing of high-performance heat exchangers, and thermally resistant wall modules for nuclear fusion reactors. His work combines computational modeling with advanced manufacturing techniques to enhance energy efficiency and reduce carbon emissions. Scientific awards include collaborative research contributions in: Optimizing district heating networks for renewable energy integration Developing next-generation heat exchangers Advancing nuclear fusion reactor technology Blommaert actively supervises research projects in thermal-fluid systems and collaborates with institutions like VITO and EnergyVille. His research team IDEAL (Innovative Design for Energy Applications Lab) specializes in free-shape and topology optimization techniques for energy components and systems.

• Heat Network Optimization
• Additive Manufacturing
• Heat Exchanger Design
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Ives Hubloue is a Clinical Professor in Emergency Medicine at Vrije Universiteit Brussel (VUB), affiliated with the Research Group on Emergency and Disaster Medicine at Universitair Ziekenhuis Brussel (UZB). He holds an ORCID identifier (0000-0002-4535-801X) and contributes to both clinical practice and academic research in Brussels and Jette, Belgium. Research Interests : His work focuses on emergency care optimization, disaster medicine, healthcare systems innovation, and telemedicine applications. Key themes include antibiotic resistance management in emergency settings, mass casualty incident protocols, and interprofessional education in healthcare teams. He also investigates clinical challenges like IV fluid management and pain control in emergency departments. Recent Contributions : Recent publications (2023-2025) address cost-effectiveness of cardiac diagnostic pathways, antibiotic resistance trends, and simulation-based crisis management for chemical incidents. He actively supervises master's theses on topics like emergency department workflows and wound care challenges. Awards : Received the Best Paper Award (2022) for simulating nerve agent mass casualty incident response strategies. Collaborations : Leads EU-funded projects applying AI to cross-border emergency care and collaborates with Italian universities (University of Palermo) on joint PhD programs. Engages in interdisciplinary activities including morbidity/mortality reviews and pre-hospital transfusion protocols.

• Emergency Medicine
• Disaster Medicine
• Healthcare Systems
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Vsevolod Salnikov is a Researcher affiliated with the Namur Institute for Complex Systems at the University of Namur. His work focuses on complex systems, network analysis, and mobility data applications. He has led research projects such as OpenNext (2017-2019) and MyOpenNext (2020-2021), which developed predictive models and mobile applications for transportation analysis. Salnikov holds a Doctor of Sciences degree in Human Mobility from the University of Namur (2015), focusing on data acquisition and algorithmic solutions for mobility challenges. His research interests span topology, dynamics of networks, transportation economics, and higher-order network analysis. Notable contributions include studies on emergent grammar dynamics, simplicial complex applications in mathematics, and taxi price comparison mobile apps. Salnikov actively participates in conferences, presenting work on topics like non-Markovian dynamics and community detection in temporal networks. Key projects include leveraging mobility data for public interest and developing tools for urban transport optimization. His datasets include contributions to studies on emergent grammar dynamics, reflecting interdisciplinary collaborations in linguistics and network science.

• Complex Systems
• Network Analysis
• Mobility Data
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Maarten Dewilde is an Assistant Professor at the Faculty of Pharmaceutical Sciences, KU Leuven, affiliated with the Department of Pharmaceutical and Pharmacological Sciences. He leads the Therapeutic and Diagnostic Antibodies unit and is a member of the KU Leuven Antibody Centre (PharmAbs), Brain Institute (LBI), and Cancer Institute (LKI). His research focuses on antibody engineering, blood-brain barrier crossing, and neurodegenerative disease therapies. Research: Therapeutic nanobodies, Alzheimer's disease, gene therapy (AAV vectors), brain-targeted drug delivery Teaching: Pharmaceutical Biotechnology, BioPharmaceutical Research His work involves collaborations across immunology, neuroscience, and pharmacology, with projects targeting complement inhibition, amyloid-beta pathology, and innovative biopharmaceutical delivery systems. Dewilde's research has produced key publications on nanobody-mediated therapies in journals like Fluids and Barriers of the CNS and EMBO Molecular Medicine , focusing on neurodegenerative diseases and oncology.

• Therapeutic Antibodies
• Blood-Brain Barrier Crossing
• Nanobody Engineering
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Jérémie Roland is a Professor at the School of Engineering, Université Libre de Bruxelles (ULB), since October 2011. He is affiliated with the Quantum Information and Communication (QuIC) research group and has held positions at NEC Laboratories America, University of California, Berkeley, and FNRS (Belgian National Fund for Scientific Research). Education: Engineering in Physics (ULB & Ecole Centrale de Lille, 1999), Advanced Studies in Theoretical Physics (ULB, 2000) Research interests focus on quantum algorithms, particularly continuous-time quantum walks, adiabatic quantum computation, and quantum communication complexity. His work explores optimal spatial search algorithms, Hamiltonian simulation, and cryptographic protocols. Scientific awards include the Best of 2016 award for contributions to information theory and a BELSPO Return Grant in 2011. He has collaborated extensively with institutions in France, Canada, and the USA. Teaching roles include Quantum Information and Computation (INFO-H-514), Information and Complexity Theory (INFO-H-422), and mathematics courses like Analyse II (MATH-H-2000). His research is supported by grants including the BELSPO Return Grant.

• Quantum Algorithms
• Quantum Walks
• Adiabatic Quantum Computation
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Margaret Chen serves as Water & Climate Research leader at the Department of Water and Climate, Vrije Universiteit Brussel (VUB) in Brussels, Belgium. Her work focuses on addressing critical challenges related to water management and climate adaptation through innovative research and practical applications. Professor Chen's research expertise spans several interconnected domains in water and climate science: Hydraulics and hydrodynamics of coastal and river systems Morphodynamics and sediment transport processes Climate resilient coastal infrastructure and nature-based solutions Flood defense systems in coastal, estuarine, and riverine environments Integrated sustainable watershed management approaches Her recent publications demonstrate continued focus on understanding complex water systems and developing practical engineering solutions. Professor Chen's work bridges theoretical understanding with real-world applications, particularly in adapting to climate change impacts on coastal and freshwater systems. A significant portion of her research involves experimental approaches and field studies to validate theoretical models. Her fingerprint research areas include estuary dynamics (100%), suspended matter (63%), beach processes (51%), sediment dynamics (37%), and hydrodynamics (24%). Professor Chen has successfully led numerous research projects addressing critical water and climate challenges. Her collaborative approach is evident in the extensive network of international partnerships reflected in her research activities. She has supervised 15 graduate students throughout her career, contributing to the development of the next generation of water and climate scientists and engineers. Current projects include VLIR434 (2024-2029) on WASH and climate-resilient agriculture transformation, CONI797 (2024-2025) on advanced experimental research techniques, and VLOV181 (2023-2026) providing sedimentological laboratory support. Her laboratory work focuses on sedimentological analysis and hydraulic experimentation, with significant contributions to understanding coastal processes and developing resilient infrastructure. Professor Chen's research group maintains strong connections with governmental agencies and international organizations working on climate adaptation and water management issues, particularly relevant in the context of rising sea levels and increasing extreme weather events.

• Hydraulics
• Hydrodynamics
• Morphodynamics
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Maria Knysh is a Research Fellow at the Department of Physics, Faculty of Sciences and Bioengineering Sciences, Vrije Universiteit Brussel. Her work focuses on theoretical physics, particularly high energy physics and quantum gravity, with a strong emphasis on black hole thermodynamics and holography. Research Interests : High Energy Physics Quantum Gravity Black Hole Thermodynamics String Theory Holography Scientific Awards : EUROSTRINGS 2023 BEST POSTER AWARD

• High Energy Physics
• Theoretical Physics
• Black Hole Thermodynamics
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Maarten Vergauwen is a Professor at KU Leuven's Faculty of Engineering Technology, where he serves as head of Geomatics and campus chair for Science, Engineering and Technology Group across Ghent and Aalst Campuses. His institutional roles include head of the Division Digital and Sustainable Civil Engineering, Subdivision Geomatics Ghent, and contact person for Geomatics. His research focuses on the intersection of geomatics, computer vision, and artificial intelligence with applications in heritage documentation, 3D modeling, and infrastructure analysis. Key research thrusts include BIM automation, digital twin development for sewer systems, UAV-assisted bridge inspections, and AI-driven cultural heritage preservation. His work leverages advanced techniques in point cloud processing, transformer networks, and semantic segmentation to solve complex spatial problems. Vergauwen actively supervises graduate students on topics ranging from SCAN-to-BIM automation to digital epigraphic documentation of archaeological sites. His research is supported by numerous grants including CHAI: Cracking built Heritage with AI, Deep Sewer, Foundation Models for EO Big Data, and UAV-assisted bridge inspections projects. Member of East and West Flanders Workplace Safety Committee Member of Bureau ADS and Board of Faculty of Engineering Technology Observer of KU Leuven Student Services Council, Brugge He teaches courses including Geomatics 1 & 2, Fotogrammetrie, GIS, Topografie, and 3D-modelleren across KU Leuven's engineering programs.

• Geomatics
• Computer Vision
• Artificial Intelligence
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