جستجوی استاد راهنمای دانشگاهی

Kris Baetensمشاهده پروفایل

استاد

• Neuroscience
• Psychology
• Cognitive Science
• +۳ مورد دیگر

Kris Baetens is a Professor in the Department of Psychology Brain, Body and Cognition at Vrije Universiteit Brussel (VUB). His research focuses on the neural mechanisms underlying social cognition, mentalization, and inhibitory control, particularly exploring the role of the cerebellum and prefrontal cortex in these processes. He employs techniques such as transcranial direct current stimulation (tDCS), EEG, and fMRI to investigate cognitive and clinical phenomena. Leading projects like ANI423 (neural correlates of inhibitory control in adolescents) and FWOAL1160 (cerebellum's role in social cognition). Recipient of the EUTOPIA Young Leaders Academy fellowship (2024-2026). Active collaborations in the PRISM network for mental health research. Key research interests include: - Cerebellar contributions to cognitive and social functions - Neurostimulation techniques for mental health interventions - Mentalizing processes in social action prediction - Personality and learning mechanisms His articles consistently analyze the interplay between neural structures like the cerebellum and behavioral outcomes in clinical and cognitive contexts. Recent work emphasizes applications of tDCS in treating alcohol use disorders and disordered eating, highlighting translational research in non-invasive brain stimulation. Advising/Grants: Supervises student research projects and manages grants from FWO and OZR agencies. Labs/Teams: Core member of the PRISM network and involved in the EUTOPIA fellowship initiative.

• Malware Analysis
• Symbolic Execution
• Machine Learning
• +۳ 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.

Kaat Alaertsمشاهده پروفایل

استاد

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

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.

• Electronics Engineering
• Signal Processing
• Biomedical Engineering
• +۳ مورد دیگر

Bruno Tiago da Silva Gomes is a Researcher in the Department of Electronics and Informatics at Vrije Universiteit Brussel (VUB), Belgium. His work focuses on FPGA-based hardware acceleration, biomedical signal processing, and embedded systems. He leads several high-impact projects, including ENACT (environmental health interventions) and Tech4Health (future health technologies). His research spans FPGA design, machine learning acceleration, and real-time signal processing. Education: PhD in Electronics and Informatics (2019, VUB), supervised by Professors Touhafi and Braeken. His thesis addressed streaming application acceleration on FPGAs. Research interests include Field-Programmable Gate Arrays (FPGA), biomedical sensors (e.g., photoplethysmography), beamforming, and high-level synthesis. He has co-authored over 60 publications and holds an h-index of 439. Key projects include OZR4103 (power-efficient AI for biomedical applications) and NSIS3 (decarbonisation technologies). His work integrates hardware-software co-design for edge computing and secure TinyML systems. Advising includes a Master’s thesis on PPG signal analysis. He contributes to datasets like the AMIVU Acoustic Map Imaging Dataset.

• Power System Protection
• Power Electronics
• High Voltage Engineering
• +۴ مورد دیگر

Michael Kleemann is an Associate Professor at the Faculty of Engineering Technology within KU Leuven , affiliated with the Department of Electrical Engineering (ESAT) . His research focuses on Power System Protection , Wireless Power Transfer , and Renewable Energy Integration , with a particular emphasis on inverter-based grid dynamics and fault analysis. Key Research Areas : Power system protection algorithms, capacitive wireless power transfer, fault location methods in medium voltage cables, and grid stability with high renewable penetration. Notable Projects : Lead projects on Protection of Future Distribution Grids (2021-2025), Capacitive Wireless Power Transfer (2020-2024), and Flux 50 ICON (2024-2026) for low-voltage DC grid protection. Publication Trends : Recent work explores capacitive wireless power transfer materials and control systems (2024-2025), fault detection algorithms for inverter-dominated grids (2023-2025), and machine learning applications in voltage regulation for photovoltaic-rich networks (2024). Teaching : Courses include Power System Protection (JPI322), Power Electronics (JPI0L8/JPI318), and Capacitive Wireless Transfer topics in graduate seminars.

• Machine Learning
• Deep Learning
• Anomaly Detection
• +۵ مورد دیگر

Peter Karsmakers serves as Associate Professor at KU Leuven's Department of Computer Science within the Faculty of Engineering Technology, based at the Geel Campus. He coordinates the Declarative Languages and Artificial Intelligence (DTAI) research group and holds leadership roles including coordinator of Research and Education for Computer Science across Geel and Diepenbeek Campuses. Karsmakers earned his PhD in Engineering Science in May 2010, focusing on kernel-based learning algorithms for sparse modeling and efficient predictions from large datasets. His doctoral work established foundations for his current research trajectory in resource-constrained machine learning systems. His research integrates machine learning with signal processing for real-time sensor data interpretation, specializing in anomaly detection from acoustic, radar, and accelerometer signals on embedded devices. Current projects address industrial condition monitoring, elderly care systems, and livestock facility monitoring through three main tracks: acoustic monitoring (e.g., SINS, WATCHDOG), radar-based systems (e.g., FARADAY, NextPerception), and smart electronics for power converters. Recent publications demonstrate strong trends in constraint-guided deep learning architectures for industrial applications, cross-environment robustness in sensor systems, and domain-knowledge integration to reduce data requirements. His work consistently bridges theoretical machine learning with practical implementations in resource-constrained environments. No scientific awards or fellowships were mentioned in the provided materials. Karsmakers supervises over 10 master's theses annually and coordinates a research team of 10 PhD students and a post-doc within DTAI-ADVISE. He has secured approximately 2.3 million euros in funding through VLAIO, EU-ECSEL, and bilateral industry contracts, including 10 active projects such as AutoEdgeML (2024-2028) and Fault Tolerant Neural Networks for Space Applications (2024-2027). He leads the DTAI-ADVISE research group focused on developing software that attaches semantics to sensor data on resource-constrained devices. The team operates across multiple campuses with specialized labs for acoustic monitoring (Geel), radar-based systems (in collaboration with ESAT-TELEMIC), and smart electronics (with Electrical Engineering department), maintaining strong industry partnerships with companies in healthcare, manufacturing, and agriculture sectors.

• Neuroscience
• Neurobiology
• Visual Neuroscience
• +۳ مورد دیگر

Vincent Bonin is a Senior Lecturer in the Department of Biology at KU Leuven's Faculty of Sciences. He is affiliated with the VIB-KU Leuven Center for Neuro Electronics Research Flanders (NERF) and the KU Leuven Brain Institute (LBI). His research focuses on neural circuits and visual neuroscience, with an emphasis on cortical and subcortical mechanisms of perception and plasticity. Research Interests: Vincent investigates visual coding, cortical connectivity, and brain circuit dynamics. His work spans topics like: Role of non-hierarchical visual pathways in perception Dendritic processing in the superior colliculus Cell type-specific connectivity in layer 2/3 visual cortex Astrocyte-mediated cortical plasticity Development of high-resolution intracortical visual prosthetics Recent Projects: • The contributions of non-hierarchical visual pathways to visual coding and perceptual behavior (2025-2028) • An investigation into cell type-specific connectivity rules in visual cortex (2024-2027) • Short- and long-term circuit mechanisms of motor rehabilitation after spinal cord injury (2024-2027)

• Media Psychology
• Social Media Effects
• Adolescent Development
• +۵ مورد دیگر

Laura Vandenbosch is a Senior Lecturer at KU Leuven's Faculty of Social Sciences , actively leading the Lab for Media Psychology (OG) . She contributes to interdisciplinary research networks like DigiSoc , LC&Y , and Leuven One Health , with formal university affiliations confirmed through ORCID (0000-0001-6834-8386). Key research themes: digital media effects on adolescent mental health, body image, political identity, and social media literacy Current projects focus on topics like positive body image in preadolescence , influencer morality , and digital intimacy literacy Her 2025 publications include multi-method studies on appearance-focused social media activity, AI chatbot interactions, and political socialization through non-political figures Advises PhD candidates through promotor roles in diverse media psychology research areas

• Computational Chemistry
• Density Functional Theory
• Quantum Chemistry
• +۶ مورد دیگر

Dr. Freija De Vleeschouwer is a postdoctoral researcher and teaching faculty member in the Department of Chemistry at Vrije Universiteit Brussel (VUB) in Brussels, Belgium. With an ORCID identifier 0000-0003-0563-1509, she has established herself as a prominent researcher in computational chemistry with 927 citations and a 15 h-index. Her academic journey includes multiple FWO postdoctoral fellowships and a Research Professor appointment in Basic, Nature & Applied Sciences (2020). Dr. De Vleeschouwer's research focuses on the application of computational quantum chemical methods to solve complex problems in molecular design and materials science. Her work spans several key areas including density functional theory, molecular reactivity, self-healing polymers, and nonlinear optical materials. She employs a multidisciplinary approach combining computational predictions, molecular dynamics simulations, and experimental validation to advance understanding in these fields. Her recent research output demonstrates a strong trend toward computational-experimental integration, particularly in the development of self-healing polymer networks through Diels-Alder chemistry. She has also made significant contributions to understanding hexaphyrin compounds and their optical properties using explainable machine learning approaches. This work bridges traditional computational chemistry with modern data science techniques. Scientific Awards: FWO postdoctoral fellowship (2010) for molecular design using conceptual DFT FWO postdoctoral fellowship (2013) for inverse molecular design in radical chemistry Poster prize at the 15th International Congress of Quantum Chemistry (2015) Research Professor in Basic, Nature & Applied Sciences (0.1 ZAP) (2020) Dr. De Vleeschouwer actively supervises graduate students and has served on PhD committees. Her research is supported by multiple competitive grants including FWOTM and SRP projects. She organizes international conferences, including the 19th International Conference on Density Functional Theory and its Applications (2022), and participates in international collaborations such as research stays at Palacky University Olomouc. She leads several active research projects through 2026-2027, including FWOTM1148 on accelerating Diels-Alder kinetics in self-healing polymers and SRP73 on molecular and material property prediction using combined quantum chemical approaches.

• Digital Humanities
• Historical Linguistics
• Classical Studies
• +۷ مورد دیگر

Margherita Fantoli is a tenure track lecturer at the Faculty of Arts at KU Leuven, affiliated with the Cultural Studies Research Group. She is an active member of multiple research institutes including DigiSoc – KU Leuven Institute for Digital Society and LECTIO – KU Leuven Institute for the Study of the Transmission of Texts, Ideas and Images in Antiquity, the Middle Ages and the Renaissance. Her institutional involvement extends to the Faculty Council of Arts and the POC Digital Humanities. Dr. Fantoli's research spans Digital Humanities with a focus on historical linguistics, classical studies, and book history. Her work integrates computational methods with traditional humanities scholarship, particularly in analyzing ancient Greek and Latin texts, knowledge transmission networks, and multilingualism in historical contexts. She specializes in using digital tools to explore cultural transmission from antiquity through the Renaissance, with particular attention to network analysis of historical texts and academic communities. Her recent publications demonstrate a strong trend toward computational approaches to historical scholarship, particularly through the STUDIUM.AI project which maps knowledge networks around the premodern University of Leuven (1425-1797). Her work bridges classical philology with digital methods, examining topics such as canon formation in antiquity, multilingualism in early modern book catalogues, and the presence of classical texts in later periods. She frequently collaborates across disciplines, working with computer scientists, historians, and linguists. Dr. Fantoli serves as promoter or co-promoter on multiple significant research projects including CLARIAH-VL+ (toward the 'SSH Open Science Cloud' in Flanders), studies on the coherence of scientific language in ancient technical texts, and investigations into canon formation in Greco-Roman antiquity. Her teaching portfolio includes courses on data processing, linked data scholarship, and introduction to Digital Humanities, reflecting her commitment to training the next generation of digitally literate humanities scholars. She is actively involved with the Cultural Studies Research Group in Leuven, contributing to their mission of exploring cultural transmission across historical periods. Through her leadership in the STUDIUM.AI project and other digital initiatives, she helps build infrastructure for connecting historical knowledge networks and making premodern scholarship more accessible through digital means.

• Demography
• Sociology
• Family Dynamics
• +۷ مورد دیگر

Jan Van Bavel is a full professor at the Faculty of Social Sciences, KU Leuven, with a focus on demography, family dynamics, and climate change impacts. He is a member of LC&Y - KU Leuven Institute for Child and Youth and participates in councils like POC Sociology and POC Master Psychology. Research spans fertility trends, migration, poverty analysis, and adolescent decision-making Active promoter/co-promoter in 8 projects (2021–2028) on climate-family links, migrant deservingness, and wealth inequality Teaches courses on population studies, climate change, and societal transitions His recent work examines climate change's effect on fertility desires, adolescent loyalties, and immigrant integration frameworks, with articles in journals like Demographic Research and Socio-Economic Review . No scientific awards were explicitly mentioned in the provided data.

Wout Josephمشاهده پروفایل

استاد

• electromagnetic field exposure assessment
• in-body electromagnetic field modelling
• electromagnetic medical applications
• +۱۲ مورد دیگر

Wout Joseph is a Professor in the domain of Experimental Characterization of wireless communication systems at Ghent University (Belgium), where he has been working since October 2009. He is also an IMEC Principal Investigator since 2017. His research is conducted within the wireless, acoustics, environment & expert systems (WAVES) research unit at the Department of Information Technology (INTEC). Dr. Joseph was born in Ostend, Belgium on October 21, 1977. He received his M.Sc. degree in electrical engineering from Ghent University in July 2000. From September 2000 to March 2005 he was a research assistant at the Department of Information Technology (INTEC), where his scientific work focused on electromagnetic exposure assessment around base stations for mobile communications related to health effects. This work led to his Ph.D. degree in March 2005. Professor Joseph's research expertise spans multiple domains within wireless communications and bioelectromagnetics. His primary research interests include electromagnetic field exposure assessment, in-body electromagnetic field modeling, electromagnetic medical applications, propagation for wireless communication systems, IoT, antennas and calibration. He also specializes in wireless performance analysis, industry 4.0 applications, wireless localization, and Quality of Experience metrics. His work is particularly notable for its focus on dosimetric studies in the radiofrequency range, where his research is ranked first in number of peer-reviewed studies. His research has practical applications in wireless network planning, occupational safety, and public health policy related to electromagnetic fields. His extensive publication record (over 886 publications with an h-index of 45 in ISI Web of Science and 66 in Google Scholar) demonstrates a clear trajectory from fundamental electromagnetic field measurements to applied research in industrial wireless networks and bioelectromagnetic applications. Recent work shows a strong emphasis on 5G exposure assessment across multiple European countries, millimeter-wave channel modeling, and the application of machine learning techniques to exposure assessment and wireless localization. EBEA council board member (2015-2018) EBEA board member at large (2019) Bioelectromagnetics Society board member (2022) Bioelectromagnetics Society board member (2024) 24 research awards Professor Joseph leads significant research efforts in electromagnetic field exposure assessment, with particular emphasis on developing measurement methodologies and computational models for real-world exposure scenarios. His work bridges theoretical electromagnetic modeling with practical applications in wireless communications and bioelectromagnetics. His research group within the WAVES unit is highly active in both theoretical and experimental aspects of wireless communications and bioelectromagnetics, with current projects focusing on 5G exposure assessment across Europe, millimeter-wave channel modeling for data centers and industrial environments, and the development of novel exposure assessment methodologies using advanced signal processing and machine learning techniques.

• Structural Equation Modeling
• Psychometrics
• Statistics
• +۵ مورد دیگر

Yves Rosseel is a Professor at Ghent University (UGent) specializing in Structural Equation Modeling (SEM) , Psychometrics , and Statistical Methodology . With over 15 recent publications (2024-2025), he focuses on small-sample SEM solutions, factor score regression, measurement error, and Bayesian extensions. His work bridges Statistics with applications in Psychology , Education , and Neuroimaging . Research Trends Developed Mixture Multigroup SEM for cross-group comparisons Proposed Information-Theoretic Hypergraphs in psychometrics Advanced Two-Stage Estimation for round-robin data Created blavaan R package for Bayesian SEM Investigated Measurement Error in hypothesis testing Scientific Contributions Published 84 Social Sciences papers, 37 Statistics works, and 11 Neuroimaging studies Promoted 8 PhDs including Sara Dhaene and Julie De Jonckere Co-authored 12+ works with Marijke Welvaert and 10+ with Stijn Vanheule

• Epilepsy research
• Zebrafish disease modeling
• Drug discovery
• +۳ مورد دیگر

Daniëlle Copmans is an Assistant Professor at the Faculty of Pharmaceutical Sciences , KU Leuven, where she leads the Molecular Biodiscovery unit and the Subdivision Pharmaceutical Biology and Phytopharmacology . Her research focuses on epilepsy and neurodevelopmental disorders , utilizing zebrafish models for drug discovery and precision medicine . She contributes to network pharmacology approaches and iPSC-based disease modeling for rare conditions like Dravet syndrome.