جستجوی استاد راهنمای دانشگاهی

Tom Barbetteمشاهده پروفایل

استادیار

• High-Speed Networking
• Network Function Virtualization (NFV)
• Load-Balancing
• +۳ مورد دیگر

Tom Barbette is an Assistant Professor in the Computer Engineering Center (INGI) department at the Louvain Polytechnic School (EPL) of Université catholique de Louvain (UCLouvain), Belgium. He leads the Efficiency of Networked Systems Group , focusing on programmable networks, SmartNICs, NFV, data-centers, and high-speed packet processing. PhD (2018) from Université de Liège (advisor: Laurent Mathy) Post-doctoral research at KTH, Sweden (2018-2021) and UCLouvain (2021-2022) His research explores redefining internet communication paradigms through programmable infrastructure like SmartNICs and P4. Key themes include: High-speed networking and load-balancing Sub-atomic communication models for disaggregated systems KERNEL bypass techniques for performance optimization He has contributed to major conferences like SIGCOMM, NSDI, and CoNEXT, with patents on network interface optimization. His group collaborates on projects such as: ASNI (SmartNICs programming interface) HIRT (High-speed Forward Erasure Correction) Reframer (Network stream optimization)

• Low-Power Electronics
• Integrated Circuit Design
• Internet of Things
• +۴ مورد دیگر

David Bol is a Lecturer at Université catholique de Louvain (UCLouvain), affiliated with the Louvain Polytechnic School (EPL) and the Electrical Engineering Center (ELEN) within the Institute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM). His academic work spans both teaching and research in electrical engineering, with a particular focus on low-power circuit design and sustainable electronics. Dr. Bol's research interests center around low-power electronics , integrated circuit design , and sustainable approaches to electronic systems . His work bridges traditional electrical engineering with environmental considerations, particularly through life cycle assessment of electronic devices and IoT systems. He has developed expertise in ultra-low-power circuit design, analog and mixed-signal circuits, energy harvesting techniques, and the environmental impact of semiconductor manufacturing and wireless technologies. His recent publications demonstrate a consistent focus on energy efficiency in electronic systems, with significant contributions to current reference design, biomedical amplifiers, and near-sensor computing architectures. A notable trend in his work is the integration of environmental sustainability considerations into traditional circuit design, particularly through life cycle assessment methodologies applied to IoT devices and communication infrastructure. Dr. Bol teaches multiple electrical engineering courses including Analog Electronic Systems (LELEC2532), Synthesis of Digital Integrated Circuits (LELEC2570), and Sustainable Development and Transition (LEPL1804), reflecting his dual expertise in circuit design and sustainability.

• Hydrodynamic Modeling
• Oceanography
• Fluid Mechanics
• +۳ مورد دیگر

Eric Deleersnijder is a Lecturer at the Université catholique de Louvain, affiliated with the Louvain Polytechnic School (EPL) and the Institute of Mechanics, Materials and Civil Engineering (iMMC). He conducts research within the Applied Mechanics and Mathematics (MEMA) unit of iMMC and collaborates with the Earth and Life Institute (ELI). His teaching responsibilities include courses such as General Mechanics, Marine Hydrodynamics, Fundamentals of Geographic and Environmental Modelling, Mathematical Ecology, Fluid Mechanics II, and Physics of Fluids. Deleersnijder's research focuses on hydrodynamic modeling , coastal and estuarine dynamics , and numerical methods for environmental systems. Key areas include: multi-scale ocean modeling, water renewal timescales, sediment transport, and contaminant dispersion in aquatic systems. His work emphasizes practical applications in ecosystems like the Scheldt Estuary, Nador Lagoon (Morocco), and Meuse River, alongside theoretical advances in finite volume/discontinuous Galerkin methods. Analysis of his recent publications reveals a strong emphasis on: Development of advanced numerical schemes (IMEX Runge-Kutta, DG-FEM) for 3D hydrodynamic systems Environmental risk modeling of radionuclide dispersion in river networks Hydrodynamic diagnostics (water age, residence time) for coastal management Transdisciplinary applications from Titan's subsurface oceans to North African lagoons He actively collaborates on continental-scale hydrological projects (e.g., Scheldt and Meuse river systems) and leads developments in the SLIM (Second-generation Louvain-la-Neuve Ice-ocean Model) platform. His team addresses climate impacts on water renewal and sediment dynamics through high-performance computing approaches.

• Robotics
• Automation
• Mechatronics
• +۵ مورد دیگر

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 Vansteenwegenمشاهده پروفایل

استاد

• Public Transportation Optimization
• Metaheuristics
• Demand-Responsive Transport Systems
• +۴ مورد دیگر

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 .

• Robotics
• Mechatronics
• Wearable Technology
• +۶ مورد دیگر

Dino Accoto is a Professor at the Faculty of Engineering Technology , KU Leuven , affiliated with the Department of Mechanical Engineering and Robotics, Automation and Mechatronics (RAM) unit across Ghent and Aalst campuses. His research spans robotics , mechatronics , and assistive technologies , focusing on human-robot collaboration , wearable devices , and haptic interfaces . Projects include PREXCOM for safety in human-robot interaction and H2XO for haptic human-robot observers Recent work explores mechanical metamaterials for tremor damping and soft robotics for stroke rehabilitation His publications in journals like Soft Robotics and Sensors highlight expertise in biomechatronic design , structural health monitoring , and smart material applications . He teaches courses in Intelligent Machines and Digital Control , and contributes to LIM - KU Leuven Institute for Mobility as a council member.

• Legged Robotics
• Biomechanics
• Robot Locomotion
• +۳ مورد دیگر

Dr. Alexander Badri-Spröwitz is an Associate Professor at the Department of Mechanical Engineering , KU Leuven . He leads research in legged robotics, biomechanics, and bio-inspired actuation systems. Promotor: Simulation and control of legged robots (2025-2029) Promotor: Legged robot locomotion on natural soft terrain (2025-2027) Promotor: Modular legged robots in human-made/natural environments (2024-2028) Co-promotor: Symbol Synchronous Networking for Robotics (2024-2028) His research focuses on dynamic locomotion control , passive actuation systems , and neuromechanical coupling , with applications in terrain adaptation and human-robot interaction. Recent work explores muscle reflexes, compliant mechanisms, and bio-inspired diaphragm actuators. Publications analyze trade-offs in legged locomotion efficiency, passive spring-tendon systems for walking robots, and neuromorphic control strategies in Nature Machine Intelligence , Scientific Reports , and IEEE conferences. He teaches courses in Embedded Control Systems and Advanced Robot Control Systems at KU Leuven's Faculty of Engineering Science.

• Aerospace Engineering
• Mechanical Engineering
• Thermal Engineering
• +۳ مورد دیگر

Patrick Hendrick is an Associate Professor at the Department of Mechanical Engineering, Faculty of Engineering Science, KU Leuven. His work spans aerospace engineering, thermal systems, and sustainable energy technologies. Research Focus : Hendrick's research investigates propulsion systems (hybrid rocket motors, fuel additives), energy conversion (pump-as-turbine micro-storage), and thermal engineering challenges (gas turbine vanes, heat exchangers). He also explores wastewater thermal recovery for sustainable residential heating. Teaching : He teaches aircraft engines and turbomachinery courses at KU Leuven, translating complex fluid dynamics concepts into practical applications. Publications : His recent work (2017-2019) focuses on aerospace propulsion, thermal systems optimization, and sustainable energy integration, with contributions to Aerospace Science and Technology and Applied Energy .

• Nuclear Fusion
• Plasma Physics
• Computational Fluid Dynamics
• +۴ مورد دیگر

Niels Horsten serves as an Assistant Professor at KU Leuven within the Department of Mechanical Engineering, Faculty of Engineering Science. His academic appointment is housed in the Applied Mechanics and Energy conversion (TME) research unit located at Celestijnenlaan 300 - box 2421, 3001 Leuven, where he maintains office room 02.51. His research program bridges computational physics with practical nuclear engineering applications, focusing on critical challenges in both fusion and advanced fission reactor technologies. Dr. Horsten's research expertise centers on plasma edge physics in magnetic confinement fusion devices, particularly tokamak divertor phenomena. His work employs advanced computational frameworks including SOLPS-ITER and EDGE2D-EIRENE to model plasma-neutral interactions, radiation transport, and detachment processes. He has made significant contributions to hybrid fluid-kinetic modeling approaches that balance computational efficiency with physical accuracy in plasma edge simulations. His research extends to Small Modular Reactor development, where he leads projects optimizing steam generators and heat exchangers for lead-cooled systems, demonstrating his ability to bridge fusion and fission reactor technologies. Analysis of Dr. Horsten's publication record reveals a consistent focus on improving the fidelity of plasma edge simulations through methodological innovations in numerical techniques. His recent work emphasizes sensitivity analysis, uncertainty quantification, and code validation against experimental data from major facilities like JET. The publications show increasing involvement in EU-DEMO related research, indicating his growing role in preparing computational tools for next-generation fusion power plants. His collaborative approach is evident in numerous multi-author papers involving international fusion research teams. Dr. Horsten currently serves as promotor for two significant research projects: 'Optimization of the steam generators in lead-cooled Small Modular Reactors (SMRs)' (2025-2029) and 'Shape Optimization of Heat Exchangers for Lead-Cooled Small Modular Reactors (SMRs)' (2025-2029). These projects represent substantial research commitments that bridge his expertise in computational modeling with practical reactor engineering challenges. His work maintains strong connections to the EUROfusion consortium and ITER development efforts, as evidenced by his co-authorship on major program overviews and JET experimental campaign reports. Within KU Leuven's research ecosystem, Dr. Horsten contributes to the Applied Mechanics and Energy conversion unit, which focuses on sustainable energy systems and advanced mechanical engineering solutions. This environment provides interdisciplinary support for his work at the intersection of nuclear engineering, computational physics, and thermal-fluid sciences, enabling him to address complex challenges in both fusion and advanced fission reactor technologies.

• Logistics
• Urban Freight Modelling
• Agent-Based Simulation
• +۳ مورد دیگر

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.

• Reliability of Mechanical Systems
• Structural Dynamics
• Uncertainty Quantification
• +۳ مورد دیگر

David Moens is Full Professor and Chair of the Department of Mechanical Engineering at KU Leuven's Faculty of Engineering Technology. He leads the Mecha(tro)nic System Dynamics (LMSD) research group at De Nayer Campus, where his research focuses on reliability engineering, structural dynamics, and computational mechanics. Moens serves in multiple leadership roles including membership in the university's Research Policy Council and heads Subdivision 10 of the De Nayer Campus. His research integrates computational mechanics with uncertainty quantification methods to address challenges in mechanical system reliability. Primary research domains include: Non-deterministic numerical analysis techniques for structural systems Fatigue and lifetime prediction methodologies Spatial uncertainty quantification in composite materials Physics-informed machine learning for engineering applications Robust design optimization under uncertainty Moens' recent publications demonstrate strong emphasis on computational uncertainty frameworks with applications spanning composite pressure vessels, manufacturing process twins, and neural network uncertainty estimation. Research consistently intersects finite element analysis, experimental validation, and emerging machine learning techniques to solve reliability challenges in mechanical systems. He leads significant research initiatives including RISQ (Random and Interval Spatial Uncertainty Quantification, 2025-2027) and projects on hydrogen storage vessel reliability (2024-2028). As primary supervisor for multiple PhD candidates, Moens actively contributes to academic training through courses including Reliability of Mechanical Systems, Dynamic Behavior of Machines, and Design for Safety and Reliability.

Adrian Rangaمشاهده پروفایل

دانشیار

• Organoid Engineering
• Microfluidics
• Stem Cell Mechanics
• +۳ مورد دیگر

Adrian Ranga is an Associate Professor at the Department of Mechanical Engineering within KU Leuven's Faculty of Engineering Science . He leads research at the BioMechanics (BMe) section, with affiliations to multiple institutes including the KU Leuven Institute of Physics-based Modeling for In Silico Health , Brain Institute , and Institute for Single Cell Omics . His work focuses on organoid engineering , mechanical force manipulation , and vascularization technologies using microfluidic devices . Key Research Areas: Vascular and neural organoid development Microfluidic cell culture systems Mechanotransduction mechanisms Stem cell-based tissue engineering Recent Publications (2025–2024) demonstrate expertise in 3D bioprinting , force-mediated angiogenesis , and comparative neurodevelopment across species. His patent applications include discrete cell culture microenvironments and photopolymerized devices . Collaborative projects span the Interreg Biomat-on-Chip Consortium and FWO-funded initiatives .

Claudio Roncoliمشاهده پروفایل

دانشیار

• Traffic Management
• Urban Mobility
• Connected and Automated Vehicles
• +۷ مورد دیگر

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.

Gokhan Serhatمشاهده پروفایل

استادیار

• Computational Mechanics
• Numerical Methods
• Design Optimization
• +۷ مورد دیگر

Gokhan Serhat is a tenure-track Assistant Professor at the Department of Mechanical Engineering , KU Leuven, stationed at the Bruges Campus. He conducts research within the Mecha(tro)nic Systems Dynamics Group and the M-Group and maintains a guest-scientist affiliation with the Max Planck Institute for Intelligent Systems. Education: Ph.D. in Mechanical Engineering, Koç University, 2018 (Marie Curie Fellow) M.Sc. in Computational Mechanics, Technical University of Munich, 2013 B.Sc. in Mechanical Engineering, Middle East Technical University, 2011 Research interests span computational mechanics, numerical methods, design & topology optimization, structural dynamics, composite materials, fiber-path optimisation, functionally graded structures, and bio-mechanical/haptic modelling. His work integrates high-fidelity simulation, laminate-parameter techniques, and additive-manufacturing constraints to create lightweight, variable-stiffness composite structures and tactile/biomechanical devices. Recent articles (2022-2025) reveal a strong trajectory in composite optimisation (anisotropic topology, lamination parameters, manufacturability) alongside interdisciplinary forays into biomechanics & haptics (fingertip dynamics, tactile displays, skin simulation). The portfolio is evenly split between computational-method development and application-oriented studies in aerospace, automotive, and human-interaction domains. Scientific recognition: Marie Curie Early-Stage Research Fellow (doctoral training grant) Research funding & leadership: Promoter, Flemish project “Fiber path and topology optimization of 3D printed composites” (2023-2027) Promoter, FWO/Flemish project “Concurrent fiber path and topology optimization of 3D printed composites” (2022-2024) He teaches three courses at KU Leuven Bruges: Structural Dynamics , Aerospace Structures & Lightweight Design and Mechatronic Design , and is an active member of the Faculty Council and the Department Council.

Mostafa Ezeldeenمشاهده پروفایل

دانشگاهی

• Dental tissue regeneration
• Biomaterials engineering
• Artificial intelligence in dentistry
• +۷ مورد دیگر

Mostafa Ezeldeen is a Clinical Lecturer at the Faculty of Medicine, KU Leuven, and a Post-doctoral fellow at the OMFS-IMPATH research group. He specializes in pediatric dentistry and special dental care, practicing at UZ Leuven and in private practice. His research integrates clinical dentistry with advanced technologies like AI, 3D bioprinting, and biomaterials to develop regenerative therapies for dental tissue loss in children and adolescents. Education: Bachelor of Dental Medicine and Surgery (2007), Mansoura University, Egypt Master in Dentistry, Summa cum laude, KU Leuven, Belgium Master of Oral Health Research (2010), KU Leuven Specialization in Paediatric Dentistry and Special Dental Care (2012), KU Leuven Postgraduate diploma in Advanced Medical Imaging (2013), KU Leuven PhD (2021), "Dental tissue regeneration in children: can we mimic nature?" Research Interests: His work is at the intersection of clinical dentistry, immune-modulation, and biomaterials engineering . Key areas include: AI-driven CBCT image analysis for tooth segmentation and treatment planning 3D bioprinting of dentoalveolar tissues Regenerative endodontics and pulp tissue engineering CBCT-guided tooth autotransplantation Immunomodulatory scaffolds for dental tissue regeneration Scientific Awards: 1st place research award, International Association of Dental Traumatology (2014) Journal of Endodontics Award – Best Clinical Research Article (2016) Belgian Albert Joachim Award in Odontostomatology (2018) Journal of Endodontics Award – Best Regenerative Endodontics Article (2022) Research Projects & Funding: He serves as a co-promoter on multiple high-profile projects funded by national and international agencies, including: ENDO-AID: AI-based low-dose 3D imaging for personalized endodontic care DREIMS: Dental tissue regeneration via bioengineered immunomodulatory scaffolds Vital Pulp Therapy (VPT) for irreversible pulpitis 3D printing applications in biomaterial research EVs and exosomes from mesenchymal stem cells for TMJ regeneration Clinical & Academic Roles: In addition to his research, he teaches a wide range of courses in pediatric dentistry, endodontics, and special care dentistry at KU Leuven. He is also a practicing pediatric dentist at UZ Leuven, integrating clinical expertise with translational research.