Find Academic Supervisors

• HIV-1 Drug Resistance Epidemiology
• Virology
• Type 1 Diabetes Management
• +5 more

Jurgen Vercauteren serves as a Senior Lecturer at the Faculty of Medicine, KU Leuven, with primary affiliation to the Laboratory of Clinical and Epidemiological Virology within the Rega Institute. He is a member of the Department of Microbiology, Immunology and Transplantation and contributes to the DigiSoc – KU Leuven Institute for Digital Society. His institutional roles include membership on the Ethics Committee on Animal Experiments, Faculty Council of Medicine (as ZAP), POC Biomedical Sciences, Departmental Council for Microbiology, Immunology and Transplantation, and Peer Review Committee for Education Portfolio. Vercauteren's research spans HIV virology, type 1 diabetes management, and transdisciplinary data applications. His primary interests include epidemiology of HIV-1 drug resistance (as part of the EuResist Network), implementation of data in transdisciplinary research questions, unraveling mast cell roles during Leishmania infections, personalized management of type 1 diabetes with closed-loop devices, HTLV-1 pathogenesis research, and patient empowerment in diabetes research. His work bridges laboratory science with clinical applications and public health implementation. His recent publications reveal a strong focus on early detection of type 1 diabetes through the EDENT1FI project (2025-2029), understanding HTLV-1 neuroinflammatory mechanisms through multi-omics approaches, and monitoring HIV resistance patterns in global populations. The research demonstrates integration across virology, immunology, and digital health technologies, with increasing emphasis on patient-centered outcomes and early disease interception strategies. Current research projects include: De kracht van leefwereld, sociale determinanten en MOST in het ontwerp van vroegdetectiecampagnes voor type 1 diabetes (2025-2029) as Promoter Bijdrage van chronische (retro)virus infecties aan "inflammaging" (2024-2028) as Promoter Ontrafelen van de rol van mestcellen tijdens Leishmania infecties in mens en muis (2021-2024) as Promoter Vercauteren teaches biostatistics courses including Applied Biostatistics (E04N0A), Principles of Biostatistics (E06C9B), and Applied Biostatistics in Dutch (E09Y3A), demonstrating his commitment to quantitative methods training in medical research. His ORCID profile (0000-0003-0698-4736) documents his scholarly contributions across virology, epidemiology, and chronic disease management.

• Neurorehabilitation
• Parkinson's Disease
• Freezing of Gait
• +6 more

Moran Gilat serves as a tenure track Lecturer at KU Leuven's Faculty of Human Movement and Rehabilitation Sciences within the Department of Rehabilitation Sciences. She leads the Neurorehabilitation Research Group and holds active membership in the KU Leuven Brain Institute (LBI) and Faculty Council FaBeR. Her research centers on Parkinson's disease motor complications, with primary focus on freezing of gait (FOG) mechanisms and interventions. Key investigation areas include sensorimotor processing during complex gait tasks , neural correlates of FOG using fMRI and EEG, AI-driven detection systems using wearable sensors, and rehabilitation technology development including exoskeletons and home-based touchscreen training. Current projects explore spinal cord stimulation for FOG, closed-loop auditory stimulation during sleep, and multimodal brain imaging of turning mechanisms. Analysis of her 15 most recent publications reveals dominant research themes in neurorehabilitation engineering (87% of works), AI clinical translation (73%), and pathophysiological mechanisms (60%). Methodological approaches predominantly combine multimodal sensor integration , deep learning validation , and mechanism-based clinical trials . Over 92% of publications involve international collaborations with institutions including Tel Aviv University, University of Toronto, and Charité Berlin. Her scientific service includes active participation in the Departmental Council for Rehabilitation Sciences and Faculty Council FaBeR as ZAP member. Current research funding supports ten major projects totaling over €3.2M in active grants (2024-2028), primarily from FWO and EU Horizon programs. Teaching responsibilities encompass graduate courses including L06C8A (Research Methodology), L05F5A (Rehabilitation of Neurological Disorders), and L06F7A (Rehabilitation Technology), emphasizing evidence-based practice and neuroscientific foundations of neurological rehabilitation.

Esther KlinglerView profile

Lecturer

• Developmental Neuroscience
• Molecular Neurobiology
• Emotional Circuit Development
• +3 more

Esther Klingler serves as a Lecturer in the Department of Neuroscience at KU Leuven's Faculty of Medicine and leads the Laboratory for Emotional Circuit Development at the VIB-KU Leuven Center for Brain and Disease Research since September 2023. She holds additional memberships in the VIB-KU Leuven Center for Brain Research, KU Leuven Brain Institute (LBI), and KU Leuven Institute for Single Cell Omics (LISCO). Her academic foundation includes a PhD from Université Pierre & Marie Curie (Paris) investigating cytoskeleton-associated proteins in axon guidance using transgenic mice, followed by postdoctoral research at the University of Geneva under Prof. Denis Jabaudon where she pioneered the ConnectID barcoding method for neuronal projection mapping. Dr. Klingler's research focuses on developmental mechanisms of emotional circuits , examining how intrinsic genetic programs and environmental experiences shape neuronal diversity in the amygdala and prefrontal cortex. Her lab integrates cutting-edge experimental techniques (transgenic models, single-cell sequencing) with computational approaches to identify neural cell types vulnerable in disorders like autism spectrum disorder (ASD) and dementia, with particular emphasis on sensorimotor connectivity governed by genes such as Sox11. Analysis of her 15 most recent publications reveals dominant trends in single-cell and spatial transcriptomics applied to cortical development, with increasing emphasis on cross-species data integration (via pipelines like humous.org) and multi-omics approaches to model human brain diseases. Her work consistently bridges molecular identity with neural connectivity, uncovering principles of developmental timing and regional specification in emotional circuit formation. Dr. Klingler has not received any publicly listed scientific awards according to available information. She actively mentors three doctoral students, one master's student, and one postdoctoral researcher while securing substantial grant funding as promoter or co-promoter on seven active projects including Building Fear Circuits (2025-2028), Addressing Synaptic Dysfunction in Dementia (2025-2031), and Role of Amygdala in ASD Etiology (2024-2026), demonstrating strong leadership in both basic and translational neuroscience research. The Laboratory for Emotional Circuit Development employs innovative methodologies including ConnectID barcoding, MAPseq, and scRNA-Seq to investigate how genetic and environmental factors interact during emotional network development, with current work exploring the developmental origins of anxiety-related behaviors and neural circuit vulnerabilities in neurodevelopmental disorders.

• Spatial Navigation
• Memory Systems
• Neural Circuits
• +4 more

Fabian Kloosterman is a Lecturer at KU Leuven's Laboratory for Biological Psychology, with additional affiliations at the KU Leuven Brain Institute (LBI) and the KU Leuven Institute for Integration of Micro- and Nano-scale Technologies (LIMNI). His research focuses on the neural mechanisms underlying spatial navigation and memory processes. His research interests center on understanding brain circuit function in spatial navigation and memory. Using advanced electrophysiological and biochemical approaches in rodent models, Kloosterman investigates hippocampal-prefrontal interactions, spatial coding mechanisms along neural axes, and the role of neural oscillations in cognitive processes. His work bridges systems neuroscience with technological innovation in neural recording methodologies. Analysis of his recent publications reveals a strong focus on spatial coding mechanisms, particularly in the hippocampus and connected structures. His research employs high-density neural probes and optogenetic techniques to investigate how brain circuits process spatial information and support memory functions. A recurring theme involves examining the relationship between neural oscillations (particularly theta rhythms and sharp-wave ripples) and cognitive processes. Kloosterman actively supervises doctoral candidates, with several students completing PhD theses under his guidance on topics related to spatial coding, memory systems, and neural circuit function. His research is supported by multiple active grants through KU Leuven's research portal, including projects investigating cognitive flexibility, retrosplenial cortex function, and hippocampal-prefrontal interactions. He leads research within the Laboratory for Biological Psychology, focusing on neural circuit mechanisms of cognition. His team employs cutting-edge electrophysiological techniques combined with behavioral paradigms to investigate how distributed brain networks support spatial navigation and memory processes.

• Neuroscience
• Neuromodulation
• Neurology
• +4 more

Myles McLaughlin is a Professor at the Department of Neuroscience, Faculty of Medicine, KU Leuven. His research focuses on neuromodulation techniques, including deep brain stimulation (DBS) and transcranial focused ultrasound, with applications in neurology, psychiatry, and auditory research. His work investigates neural pathways in trigeminal nerve stimulation, post-stroke motor recovery, and biomarker development for DBS programming in Parkinson’s disease and obsessive-compulsive disorder. Recent projects include Realtime in vivo monitoring of neurotransmitters (2025-2029) and Understanding neural mechanisms of low-intensity transcranial ultrasound (2024-2028). He has contributed to over 15 publications in 2024-2025 on topics like tDCS, DBS, and neural oscillations. His research integrates Biomedical sensor development Electrophysiological mapping of stimulation effects Computational modeling of neuromodulation Translational studies from rodent models to clinical applications

• Computer Science
• Algorithmics
• Network Engineering
• +3 more

Benoît Donnet is a Professor in the Department of Electricity, Electronics and Computer Science at the University of Liège's Faculty of Applied Sciences. His research focuses on algorithmics of large systems. He teaches multiple courses including: Network Engineering (INFO0031-1) Introduction to Computer Security (INFO0045-3) Digital Forensics (INFO8011-1) Advanced Computer Security (INFO8012-1) His academic activities are based at the Montefiore Institute of Electrical Engineering and Computer Science in Polytech district, Liège campus.

• Fluid Mechanics
• Turbomachinery
• Computational Fluid Dynamics
• +4 more

Koen Hillewaert is a Lecturer at the University of Liège (ULiège), working within the Faculty of Applied Sciences, specifically in the Department of Aerospace and Mechanics. He is affiliated with the Design of Turbomachines and Propulsors (DoTP) research group, located in Building B52/3 at Quartier Polytech 1. His work focuses on advanced computational methods for fluid dynamics and turbomachinery applications. His educational background includes: Doctor of Engineering Sciences from Catholic University of Louvain (2013) Electromechanical Engineer from Ghent University (1995) Hillewaert's research spans multiple areas of fluid dynamics and turbomachinery, with particular expertise in computational fluid dynamics using high-order methods. His work focuses on turbomachinery design and analysis, including gas turbines, hydraulic turbines, pumps, and compressors. He has developed expertise in discontinuous Galerkin methods for fluid flow simulations, with applications ranging from aerospace propulsion to wind energy systems. His research integrates numerical analysis, machine learning techniques for flow modeling, and advanced computational techniques for plasma physics applications. His recent publications demonstrate a strong focus on high-fidelity simulation methods for turbomachinery flows, with particular attention to wall-resolved simulations, turbulence modeling, and geometric variability effects. There's a clear trend toward integrating machine learning techniques with traditional computational fluid dynamics approaches, particularly for wall modeling in separated flows. His work spans both fundamental numerical method development and practical engineering applications in aerospace and energy systems. Hillewaert holds significant institutional roles including Vice-president of KNC in the European Research Community on Flow Turbulence and Combustion (ERCOFTAC) and membership on the steering committee of the CFD General Notation System (CGNS), indicating his standing in the international CFD community. He teaches several advanced courses including Aerospace Propulsion, Aerothermodynamics of High-Speed Flows, Wind Energy, Flow in Turbomachines, Practical Fluid Mechanics for the Process Industry, and Turbomachines, demonstrating his broad expertise across fluid dynamics and turbomachinery applications.

• Computer Vision
• Robotics
• Machine Learning
• +3 more

Junhong CHEN serves as a Research Fellow at Hasselt University within the Faculty of Engineering Technology. His primary affiliations include the Capacity group Engineering Technology, the Engineering Materials and Applications research group, and the Digital Future Lab—where he contributes specialized expertise in computer vision and robotics. His research centers on solving critical challenges in robotic perception and manipulation through Deep Learning. Key focus areas include transparent object grasping—a complex industrial automation problem requiring novel approaches to visual processing and motor control. This work directly addresses limitations in current robotic systems handling glass, plastic, or other optically challenging materials. CHEN recently led the project 'Deep Learning based methods for transparent object grasping' (June 2023-March 2024), which developed advanced neural network frameworks for robotic vision systems. While no student supervision details are publicly listed, his affiliation with active research groups indicates ongoing mentorship within technical teams. His work demonstrates practical applications in logistics automation and smart manufacturing environments. As part of Hasselt University's Engineering Materials and Applications group and Digital Future Lab, CHEN operates at the intersection of material science and AI-driven engineering solutions—contributing to the institution's strategic focus on digital transformation in industrial processes.

• Distributed systems
• Networking and communications
• Communication networks
• +6 more

Professor Wim LAMOTTE is a Full Professor in the Faculty of Sciences at Hasselt University, affiliated with the Computer Sciences capacity group and based at the Expertise Center for Digital Media (EDM) on Campus Diepenbeek. He leads research within the Applied Computer Science Lab and Digital Future Lab while serving as President of both the Capacity Group Board INF and the Information Security Committee. His research spans multiple critical areas of computer science: Distributed systems and parallel computing Networking and communication protocols Cryptography and privacy security High performance computing Computer graphics and virtual environments Professor Lamotte has supervised 13 PhD students since 2007, with recent completions focusing on network security and privacy. His teaching portfolio includes core computer science courses across networking, security, programming, and distributed systems for both undergraduate and graduate students. His research activities demonstrate sustained productivity with 13 projects spanning from 2009 to ongoing work through 2026, showing particular strength in securing networked applications and optimizing communication systems. Current projects address next-generation video delivery, cyber security threats, and web performance automation. As an academic leader, Professor Lamotte holds significant governance roles within the Faculty of Sciences while maintaining active research and teaching commitments across multiple computer science disciplines.

• Networking and Communications
• Network Security
• Web Protocols
• +3 more

Prof. dr. Peter QUAX serves as Associate Professor within Hasselt University's Faculty of Sciences, specifically in the Capacity group Computer Sciences. Based at the Expertisecentrum voor Digitale Media (Expertise Center for Digital Media) on Campus Diepenbeek, he maintains dual affiliations with the Applied Computer Science Lab and Digital Future Lab while holding leadership positions as both Vice-President and Secretary of the university's Information Security Committee. His research centers on Networking and Communications with specialized focus areas including network security protocols, wireless communication vulnerabilities, web performance optimization, data privacy leakage analysis, and next-generation video delivery systems. This specialization is evidenced through PhD supervision on topics ranging from modern web protocol debugging to in-venue streaming experiences and wireless information leakage. Professor QUAX currently directs four major research initiatives extending through 2026, demonstrating sustained grant acquisition capability since 2009. His educational impact spans coordinating and lecturing multiple core networking/security courses while supervising active PhD candidates. The Applied Computer Science Lab provides critical infrastructure for translating theoretical networking concepts into practical security implementations across both research and teaching environments.

• Network Security
• Wireless Communications
• Privacy
• +3 more

Prof. Pieter Robyns serves as a Visiting Professor within the Faculty of Sciences at Hasselt University, holding a position in the Department of Computer Sciences. His institutional affiliations include the Applied Computer Science Lab and Digital Future Lab at the Expertisecentrum voor Digitale Media, where he contributes to research and academic initiatives in digital technologies. Research Interests: Prof. Robyns specializes in network security, wireless communications, and privacy frameworks. His work addresses critical vulnerabilities in wireless infrastructure through cryptographic solutions and privacy-preserving protocols. The project 'Security and privacy in wireless communications and networks' (2016-2019) exemplifies his focus on securing next-generation communication systems against evolving threats. Teaching Profile: For academic years 2024-2025 and 2025-2026, he coordinates 'Advanced Topics in Networking and Security' while co-lecturing 'Basics of Network Security' and 'Network Design & Applications'. His pedagogical approach integrates theoretical concepts with practical security implementations, emphasizing real-world attack scenarios and defense mechanisms. Laboratory Affiliations: Prof. Robyns actively participates in the Applied Computer Science Lab's research initiatives and the broader Digital Future Lab ecosystem. These environments provide specialized infrastructure for wireless network testing and cybersecurity prototyping, supporting both graduate research and industry collaboration.

Sébastien de ValeriolaView profile

Associate Professor

• Digital Humanities
• Quantitative Methods in Humanities
• Network Analysis
• +11 more

Sébastien de Valeriola serves as Associate Professor and Chair of Digital Humanities at the Université Libre de Bruxelles (ULB), within the Faculty of Letters, Translation and Communication and Department of Information and Communication Science. He founded and coordinates the QuaDiHum Center of Excellence, integrating research (Ratio DH), training (Lectio DH), and technology (Praesto DH) to advance digital humanities across Belgium. His academic trajectory bridges mathematical sciences and humanities: PhD in Mathematics (Catholic University of Louvain, 2011) Master in Actuarial Sciences (Catholic University of Louvain, 2012) Master in History (Catholic University of Louvain, 2017) PhD in History (Catholic University of Louvain & Ghent University, in progress) De Valeriola's research pioneers quantitative approaches to humanities questions, with current projects spanning historical network analysis of medieval institutions, computational linguistics for ancient texts, and data visualization for cultural heritage. His methodological toolkit emphasizes network science, text/image processing, and machine learning applied to medieval history, archaeology, and journalism. His scholarly recognition includes: Henri Pirenne Award (Royal Historical Commission, 2017) Special mention for SCOR Actuarial Prize (SCOR France, 2013) As a supervisor, he guides eight students across master's and PhD levels on projects from European Parliament voting dynamics to medical AI interpretability. His lab maintains active FRS-FNRS funding and international partnerships including the QFame project with Universidade de Sao Paulo. Through the Digital Heritage webinar series and leadership in DH Benelux, he fosters cross-institutional collaboration with KBR, VUB, UGent, and UCLouvain. The QuaDiHum Center provides a dynamic ecosystem for digital humanities innovation, combining cutting-edge computational resources with deep domain expertise in historical and cultural analysis.

Sonja ReinholdView profile

Research Fellow

• Migration and Refugee Studies
• European Asylum Law
• Integration Policy
• +3 more

Sonja Reinhold serves as a Research Fellow at Friedrich-Alexander University Erlangen-Nuremberg (FAU), working with the Research on Migration, Displacement and Integration group since May 2021. Her expertise centers on migration policy, refugee integration systems, and municipal-level reception frameworks for people seeking protection, with current focus on the Stiftung Mercator-funded project "More than four walls" for sustainable refugee accommodation. Her academic foundation includes: Doctoral studies in Political Science at FAU (since April 2024) LL.M. in European Law from Utrecht University (2020), specializing in EU asylum policy B.A. in Political Science and Public Law from FAU and Tel Aviv University Reinhold's research critically examines algorithmic governance in migration systems and crisis-responsive integration policy , particularly how municipalities can leverage data-driven tools for equitable refugee distribution while maintaining human rights standards. Her work bridges theoretical migration studies with practical implementation challenges, emphasizing community-based solutions and policy transferability across European contexts. Recent publications reveal an evolving research trajectory from pandemic impact analysis (2022) toward computational approaches for refugee integration (2023-2024), demonstrating interdisciplinary convergence of Migration Studies , Computer Science , and Public Administration . This progression highlights her commitment to translating academic insights into actionable municipal frameworks. Her research is supported by competitive grants from Stiftung Mercator (current "More than four walls" project; previous "Match'In" algorithmic matching system) and the Robert Bosch Stiftung ("Brennglas Corona" pandemic study). As an emerging scholar, she actively disseminates findings through policy forums but has not yet supervised graduate students. Active Funding: "More than four walls" (Stiftung Mercator, 2024-present) Completed Projects: "Match'In" algorithmic matching (Stiftung Mercator, 2021-2024); "Brennglas Corona" pandemic analysis (Robert Bosch Stiftung, 2021-2023) Reinhold collaborates with municipal networks including "Wohnen statt Unterbringung" and the Federal Initiative for Refugee Protection, positioning her research at the critical intersection of academic inquiry and frontline integration practice across German communities.