Find Academic Supervisors

• Video Coding
• Immersive Media
• Digital Watermarking
• +5 more

Glenn Van Wallendael is an Associate Professor at Ghent University's Faculty of Engineering and Architecture , affiliated with the Department of Electronics and Information Systems . He leads research in video coding, digital watermarking, and immersive media technologies. Academic Focus: Video compression standards (HEVC, H.266), AI for multimedia, virtual reality Key Collaborations: iMinds, imec, European research consortia Research Interests include: Video compression algorithms (HEVC, SVC, MV-HEVC) Digital watermarking for copyright protection Machine learning applications in image/video analysis Quality of Experience (QoE) in immersive environments Recent Publications (2024-2025) show expertise in: Deepfake detection using vision transformers Medical image landmarking tools Lightweight geometric approximation methods AI-driven video quality assessment Doctoral Mentorship includes supervising: 2021: Hannes Mareen (video forensics) 2020: Vasileios Avramelos (light field coding) 2017: Johan De Praeter (adaptive video encoding)

• Swarm Robotics
• Collective Intelligence
• Artificial Intelligence
• +4 more

Dr. Yara Khaluf is a postdoctoral researcher at Ghent University's Faculty of Engineering and Architecture, Department of Information Technology, with a focus on swarm robotics and collective intelligence. Her work explores: Swarm intelligence algorithms for foraging and path navigation Time perception modulation in human-AI interaction Scale-invariant dynamics in collective decision-making Multi-robot shepherding systems Research Trends : Her publications demonstrate interdisciplinary work combining robotics, cognitive science, and environmental modeling, with emphasis on decentralized control systems, temporal cognition applications, and bio-inspired swarm algorithms. Collaborative Network : She works extensively with Prof. Pieter Simoens and other researchers across topics like: Collective foraging optimization Swarm behavior modeling Human-robot time synchronization Environmental interaction algorithms

• Bioinformatics
• High Performance Computing
• Genomics
• +4 more

Giles Miclotte is a postdoctoral researcher at Ghent University with dual appointments: Postdoctoral Assistant in the Faculty of Sciences (Department of Plant Biotechnology and Bioinformatics) and Postdoctoral Researcher in the Faculty of Engineering and Architecture (Department of Information Technology). He is affiliated with IMEC research institute. His research focuses on: Bioinformatics and computational genomics High-performance computing for biological data Algorithm development for error correction in sequencing technologies Genome assembly methods using de Bruijn graphs Network analysis in cancer genomics and plant systems biology Proteomics and protein sequencing methodologies His recent publications (2015-2022) demonstrate a consistent focus on improving sequencing technologies and genomic analysis methods. Key themes include: advanced error correction algorithms for Illumina and third-generation sequencing, genome assembly optimization, computational approaches for cancer driver gene identification, and novel applications of graph-based algorithms in bioinformatics. Awards: Outstanding Presentation Award at ISMB 2015 He has supervised PhD students including Razgar Seyed Rahmani (2022) and collaborates extensively with research teams across bioinformatics and computational biology domains.

• Machine Learning
• Artificial Intelligence
• Anomaly Detection
• +5 more

Diego Nieves Avendano is a postdoctoral researcher at Ghent University's Faculty of Engineering and Architecture , affiliated with the Department of Electronics and Information Systems . His work focuses on machine learning applications in predictive maintenance, anomaly detection, and industrial IoT systems. His research interests span Artificial Intelligence , Signal Processing , and Biomedical Signal Processing , with particular emphasis on Transfer Learning and Modelling & Simulation across mechanical and industrial engineering domains. Recent publications show a consistent focus on predictive maintenance applications, leveraging Deep Learning and Unsupervised Learning techniques for wind power forecasting, bearing diagnostics, and manufacturing process optimization. His 2024 work on CNN-based wind forecasting and 2023 predictive maintenance architecture demonstrate cross-industry applicability. While no specific student advising information or scientific awards are documented in the provided texts, his 2018-2024 publications reveal persistent engagement with Industrial Internet of Things technologies, Z-normalization in time series analysis, and Remaining Useful Life estimation algorithms.

• Fog Computing
• 6G Networks
• Container Orchestration
• +5 more

José Pedro Pereira dos Santos is a Senior Postdoctoral Fellow at Ghent University's Faculty of Engineering and Architecture, Department of Information Technology (EA05). His work focuses on advancing cloud-native architectures for next-generation networks, particularly through machine learning and reinforcement learning techniques. Current role: FWO Fellow (2022-2025) for 'Predictive orchestration and distributed networking for low-latency applications in future 6G Networks' Past role: Doctoral researcher (2017-2022) at Ghent University Research interests center on Fog Computing , 6G Networks , and Container Orchestration , with emphasis on: Reinforcement Learning applications Low-latency service delivery Network-aware resource provisioning Compute Continuum optimization Recent publications demonstrate expertise in Kubernetes auto-scaling, 6G edge-cloud orchestration, and energy-efficient containerized systems. Awards and student advising details are not explicitly mentioned in the provided texts.

• Knowledge Graphs
• Machine Learning
• Semantic Web Technologies
• +3 more

Bram Steenwinckel is a postdoctoral researcher at Ghent University's Faculty of Engineering and Architecture, Department of Information Technology. He holds an FWO Junior Postdoctoral Fellowship and contributes to IMEC research projects. His work combines knowledge graphs with machine learning for explainable hybrid AI applications. FWO-funded projects on anomaly detection and knowledge graph embeddings Co-author on 15+ publications in semantic web, AI, and healthcare informatics Research focuses on integrating domain knowledge into machine learning pipelines Involvement in both academic research and applied engineering solutions His research explores knowledge graph creation for smart monitoring systems across healthcare and industrial domains. The INK methodology enables semantic rule mining while TALK provides context-aware activity recognition . Current work extends these approaches to zero-shot classification and automotive quality control . Scientific contributions include: Explainable knowledge graph embeddings Context-aware IoT data stream analysis Hybrid AI for ambulatory health monitoring Dynamic dashboarding architectures

• Robotics
• Control Systems
• Predictive Control
• +6 more

Jan Swevers is a Full Professor at KU Leuven , affiliated with the MECO Research Team . His work focuses on predictive control, sensor-based robotics, and optimal motion planning, with applications in autonomous systems, industrial robotics, and aerospace engineering. Research Interests : Predictive control (Model Predictive Control, Iterative Learning Control), sensor-based robotics (surface following, cable shaping), optimal motion planning (Reeds-Shepp algorithms, time-optimal interception), and constraint handling in robotics. Publications : Recent work explores deformable object dynamics, autonomous surface vessel navigation, and computational efficiency in optimal control. Key trends include integrating predictive control with real-time estimation, simplifying complex environments via constraint reduction, and advancing human-like autonomous driving through imitation learning. Advising : Supervised PhD theses on topics like constraint-based robot programming, motion planning, and predictive control for sensor-based tasks. Labs : Leads the MECO Research Team at KU Leuven, focusing on control systems, robotics, and optimal planning.

• Software Engineering
• Formal Methods
• Autonomous Systems
• +3 more

Eduard Baranov is a Visiting Lecturer and Research Assistant at the Université catholique de Louvain, affiliated with the Louvain Polytechnic School (EPL) through the Computer Engineering Center (INGI) under the Institute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM). His work bridges academic research with industrial applications. Research Interests : Software engineering, formal methods, cybersecurity, autonomous systems, and model checking. His focus spans scalable coverage estimation, secure healthcare systems, and statistical validation of privacy protocols. Publications : Recent work includes t-wise coverage algorithms for software testing, formal verification of multi-agent autonomous systems, and privacy-preserving frameworks aligned with GDPR standards. His research often integrates symbolic execution and statistical model checking. Collaborations : Collaborates with researchers like Axel Legay, Kuldeep S. Meel, and Thomas Given-Wilson, contributing to journals such as IEEE Transactions on Software Engineering and ACM Transactions on Software Engineering and Methodology. Contact : Email: eduard.baranov@uclouvain.be | Office: INGI - Réaumur, L5.02.01, Place Sainte Barbe 2, 1348 Louvain-la-Neuve.

• Robotics
• Automation
• Mechatronics
• +5 more

Eric Demeester is an Associate Professor at the Faculty of Engineering Technology, KU Leuven, affiliated with the Department of Mechanical Engineering and the Robotics, Automation and Mechatronics (RAM) group. He leads RAM and the Subdivision ACRO, with additional roles as contact person for robotics initiatives and council member for academic governance. Academic Rank: Associate Professor Leadership Roles: Head of RAM, Head of Subdivision ACRO Research Focus: State estimation, decision-making under uncertainty, robotic wheelchairs, user modeling, plan recognition, shared control His research spans robotics applications in diverse domains including humanitarian demining, agricultural automation, pharmaceutical manufacturing, and radiological mapping. Projects involve sensor fusion (GNSS-IMU), machine learning for low-data environments, and haptic control systems. Current advisees include Wouter Abbeloos and Pieter Aerts. Key projects include MineInsight (2024-2028), APL-SuppOr (2024-2027), and ROBUST (2024-2025), where he serves as promotor or co-promotor. His work emphasizes practical implementation in industrial and challenging environments.

Pieter VansteenwegenView profile

Professor

• Public Transportation Optimization
• Metaheuristics
• Demand-Responsive Transport Systems
• +4 more

Prof. Pieter Vansteenwegen is a full professor at KU Leuven's Faculty of Engineering Science, leading the Centre for Industrial Management/Traffic and Infrastructure (CIB) and chairing the KU Leuven Institute for Mobility (LIM). With a PhD in Operations Research (2008), he works on robust public transport systems, metaheuristics for logistics, and demand-responsive mobility solutions. Chair, KU Leuven Institute for Mobility Program Director, Master of Mobility and Supply Chain Engineering Board member, International Association of Railway Operations Research His research integrates transportation engineering , logistics optimization , and smart mobility systems , focusing on: Demand-responsive public transportation Metaheuristic algorithm development Inventory routing problems Smart waste collection strategies Multi-robot scheduling Recent publications demonstrate expertise in variable neighborhood search , Benders decomposition , and genetic algorithms applied to public transport, satellite scheduling, and circular economy logistics. His work has been cited over 9,400 times (Google Scholar H-index 51). Scientific recognition includes: Multiple IAROR best paper awards Best Reviewer European Journal of Operational Research BIVEC-GIBET PhD awards (2009, 2021, 2023) RASIG-INFORMS Student Paper Prizes He directs KU Leuven's Planning and Operational Research subdivision , serves on faculty councils, and founded spin-off dyNAVic for electronic tourist guides. His teaching portfolio includes courses in Public Transportation Design , Distribution Logistics , and Operational Management .

• Logistics
• Urban Freight Modelling
• Agent-Based Simulation
• +3 more

Johan Joubert is a Professor at the Department of Mechanical Engineering , Faculty of Engineering Science , KU Leuven. His academic roles include leadership as Head of the Subdivision Logistics and Optimization. He actively contributes to research and teaching in logistics, urban freight modelling, and agent-based simulation. Academic Affiliation: Department of Mechanical Engineering, KU Leuven Leadership: Head of Subdivision Logistics and Optimization Research Collaborations: Member of LIM - KU Leuven Institute for Mobility His research focuses on logistics sprawl , urban freight dynamics , and agent-based simulation for travel behavior. Recent projects include Waste logistics in urban freight (2024-2028) and STRUAAS (2024-2026), emphasizing sustainable urban supply chains and operations research. Key publications span transport geography , network analysis , and driver risk evaluation . Examples include Logistics sprawl and freight activity dynamics (2022) and Accessibility in Post-Apartheid Cities (2018). His work integrates geospatial data, behavioral models, and sustainability metrics. Teaching involves courses like Supply Chain Engineering (H08J0A) and Multi-Agent Systems (H02H4A), supported by DataCamp for data science integration. Engagement includes mentoring students and industry collaborations through KU Leuven’s mobility research networks.

Claudio RoncoliView profile

Associate Professor

• Traffic Management
• Urban Mobility
• Connected and Automated Vehicles
• +7 more

Claudio Roncoli is an Associate Professor at the KU Leuven Faculty of Engineering Science , Department of Mechanical Engineering. His research focuses on traffic management and urban mobility, particularly in connected and automated vehicle systems, multimodal transport networks, and environmental impact analysis. Institution: KU Leuven Academic Rank: Associate Professor Department: Mechanical Engineering Recent publications highlight his work in: Trajectory reconstruction algorithms Network congestion control CO2 emission quantification Transit signal priority systems Geospatial emission modeling Cyclist route integration in demand models His projects emphasize intelligent transportation systems and equitable urban mobility solutions.

• Human Health Engineering
• Wearable Technology
• Precision Livestock Farming
• +3 more

Jean-Marie Aerts is a full professor and department chair at the Department of Biosystems within the Faculty of Bioscience Engineering at KU Leuven . He serves as chairman of the Leuven Center for Medical Technology and division head of Bio-Environmental Control and BioAsyst Division . Active member of multiple institutes including DigiSoc – KU Leuven Institute for Digital Society , iSi Health , and Leuven One Health . Head of M3-BIORES research group Chair of Departmental Council for Biosystems Researcher at Animal and Human Health Engineering division His research focuses on Human Health Engineering , with recent projects like WeCARE (wearable technology for childhood cancer care), StressTRACS (stress tracking with wearables), and Precision Biomanufacturing of Joint Implants . Publications span biomedical engineering, movement disorders, and sports performance optimization. Recent article trends show emphasis on machine learning for movement analysis , wearable sensor validation , and cross-sector health technology applications in Parkinson's disease, cerebral palsy, and athlete monitoring.

• Fetal Surgery
• Minimally Invasive Surgical Techniques
• Pelvic Floor Dysfunction
• +6 more

Jan Deprest serves as a full Professor at KU Leuven's Faculty of Medicine, where he heads the Urogenital, Abdominal and Plastic Surgery unit within the Department of Development and Regeneration. His leadership extends to multiple institutional roles including membership in iSi Health - KU Leuven Institute for Physics-based Modeling for In Silico Health and Leuven.IRD - KU Leuven Institute for Rare Diseases, along with participation in various evaluation committees and faculty councils. His research spans cutting-edge fetal surgical interventions, minimally invasive techniques, and pelvic floor reconstruction. Current projects focus on innovative solutions for congenital conditions including the Vortex Shunt for urinary tract obstruction, AI-enhanced pelvic imaging, miniature flexible robots for gynecological procedures, and in-situ 3D bioprinting for spina bifida treatment. His work bridges engineering advancements with clinical applications to improve perinatal outcomes. Analysis of his recent publications reveals a strong emphasis on translational research connecting fetal diagnostics with therapeutic interventions. His team produces high-impact work in top journals covering congenital diaphragmatic hernia management, spina bifida repair outcomes, pelvic floor dysfunction, and AI-assisted obstetric imaging, demonstrating consistent contributions to advancing fetal medicine and reconstructive surgery. As an educator, Professor Deprest teaches multiple courses in gynecology and obstetrics, including specialized modules on sexual health, gynecological skills development, and problem-solving approaches in women's healthcare. His supervisory role extends to doctoral candidates like Page, A-S., whose 2025 thesis focused on innovative pelvic floor therapies. Professor Deprest leads numerous active research projects funded through KU Leuven, with several extending through 2028-2029. His laboratory work encompasses fetal lamb models for surgical device testing, AI algorithm development for medical imaging, and tissue engineering approaches for congenital defect correction, maintaining KU Leuven's position at the forefront of fetal surgical innovation.

• Pharmacometrics
• Therapeutic Drug Monitoring
• Precision Dosing
• +2 more

Erwin Dreesen is a tenure-track Lecturer at KU Leuven's Faculty of Pharmaceutical Sciences, affiliated with the Department of Pharmaceutical and Pharmacological Sciences. He leads the Clinical Pharmacology and Pharmacotherapy unit and holds memberships in KU Leuven's iSi Health Institute (physics-based modeling) and Leuven One Health Institute. His committee roles include the Research Ethics Committee UZ/KU Leuven and Faculty Councils. His research specializes in pharmacometrics , therapeutic drug monitoring , and precision dosing , with projects spanning: Model-informed dosing of immunosuppressants in transplant patients Antimicrobial optimization in critical care Geriatric pharmacokinetics Biologics for inflammatory diseases He coordinates 10+ active grants (2021-2029) as promoter/co-promoter, including studies on tacrolimus dosing, crizanlizumab for sickle cell disease, and antimicrobial strategies. Recent publications (2022-2025) demonstrate: Advanced pharmacometric modeling techniques Focus on clinical applications in IBD, antifungal therapy, and geriatrics Emphasis on personalized dosing algorithms and therapeutic monitoring He teaches courses including Pharmacometrics, Drug Development, Thesis Supervision, and Research Methodology.