Find Academic Supervisors

• Prosthetics
• Rehabilitation Robotics
• Biomechanics
• +3 more

Louis Flynn is a Research Fellow at the Department of Applied Mechanics within the Faculty of Engineering at Vrije Universiteit Brussel (VUB), specializing in rehabilitation robotics and active prosthetic systems. His work bridges mechanical engineering with clinical rehabilitation through the Federated Labs AI and Robotics group, with current leadership roles in the BRGEOZ458 STEM Project and BRGEOZ461 Human-Centered Robotics initiative. His research focuses on prosthetics and biomechanical robotics , with pioneering contributions in knee prosthesis design , energy transfer optimization , and torque control systems . Key areas include stiffness modeling in lower limb interfaces, population-specific assistance algorithms, and the development of adaptive exoskeletons for transfemoral amputees. His fingerprint analysis reveals dominant expertise in Prostheses and Implants (100%), Prosthetics (68%), and Knee Prostheses (59%). Recent publications demonstrate a clear trajectory toward AI-integrated control systems and multi-modal physiological sensing , with emphasis on real-world clinical validation. The 2024-2025 output shows concentrated efforts in muscle oximetry interfaces, Cybathlon-ready active prostheses (notably the X-Leg system), and longitudinal studies of user adaptation to microprocessor-controlled joints. Research funding includes: BRGEOZ458 : STEM Project - Cybathlon & ExoGames (2024), developing educational frameworks through competitive robotics events BRGEOZ461 : Human-Centered Robotics for the Future (2025), advancing personalized assistive technologies for daily mobility As a core contributor to the VUB Cyberlegs consortium, Flynn actively develops the X-Leg active transfemoral prosthesis system and presents findings at premier venues like the International Conference on Rehabilitation Robotics. His work directly impacts both competitive athletic prosthetics and clinical rehabilitation protocols through close collaboration with clinicians and engineers.

Jan De BeenhouwerView profile

Professor

• X-ray Imaging
• Computed Tomography
• Image Processing
• +3 more

Prof. Jan De Beenhouwer is a faculty member at the University of Antwerp, affiliated with the Department of Physics and the imec Vision Lab. His research focuses on advanced computational imaging techniques, particularly in X-ray tomography, phase contrast imaging, and reconstruction algorithms for medical and industrial applications. His primary research interests include: Development of novel X-ray imaging methodologies like edge illumination phase contrast Advanced CT reconstruction algorithms for sparse-view and dynamic systems Integration of deep learning with tomographic reconstruction Industrial applications including defect detection and material characterization Biomedical imaging such as bone structure analysis and tissue modeling Analysis of recent publications (2024-2025) reveals strong emphasis on: Innovations in phase contrast imaging hardware and simulation tools Advanced reconstruction techniques for motion compensation and sparse data AI-powered approaches for industrial inspection and biomedical research Development of open-source tools (CAD-ASTRA) for the tomography community He leads research at imec Vision Lab, focusing on both fundamental imaging physics and practical applications. The lab collaborates extensively with industrial partners on non-destructive testing solutions.

Olcay BayView profile

Researcher

• Electrical Engineering
• Power Electronics
• Gallium Nitride
• +4 more

Olcay Bay is a Researcher affiliated with the Faculty of Engineering at Vrije Universiteit Brussel (VUB), specializing in the Electrical Engineering and Power Electronics department. He is part of the MOBI - Electromobility Research Centre and holds a doctoral scholarship. His work focuses on advanced power electronics systems, particularly leveraging Gallium Nitride (GaN) technologies for electric vehicle applications. Key areas include high-performance power modules, thermal management of semiconductor devices, and traction inverter design. Research Interests: Evaluation of GaN-based power electronics for electric vehicles Thermal optimization of power transistors and inverters Development of low-voltage/high-current power systems Bi-directional on-board charger topologies Collaborations: Active involvement in interdisciplinary projects with industry partners, including roles in the HiEFFICIENT consortium. Recent contributions include presentations at the 2024 IEEE Vehicle Power and Propulsion Conference and the 2023 European Conference on Power Electronics. Advising & Supervision: Co-supervised Master's thesis titled "Modeling and Implementation of DC Microgrid for Lighting Application" (2023). Labs/Teams: Core member of VUB's Electromobility Research Group, contributing to the MOBI centre's mission on sustainable transportation technologies.

• Lithium-ion batteries
• Battery thermal management systems
• Electric vehicles
• +7 more

Maitane Berecibar is a Professor in the Department of Electrical Engineering and Power Electronics at Vrije Universiteit Brussel, affiliated with the MOBI - Electromobility Research Centre. She leads research on lithium-ion batteries, thermal management systems, and sustainable energy storage solutions. Key roles include project coordination in EU-funded initiatives like GEARING MOBI and REBORN. Her work spans fundamental and applied research, with a focus on battery degradation, fast charging, and second-life applications. Education & Professional Background: While specific academic qualifications are not detailed, her extensive leadership in doctoral and master's theses supervision, along with prestigious grants (e.g., Francqui Start Up Grant), underscores her academic and professional standing. Research Interests: Her work centers on optimizing battery performance through advanced thermal management (e.g., phase-change materials), developing predictive models for battery degradation, and exploring sustainable battery chemistries. She also investigates the integration of batteries into grids and electric vehicles, emphasizing fast charging protocols and safety. Recent Article Trends: Recent publications focus on self-healing batteries, hybrid cooling systems, and solid-state electrolytes. Themes include improving battery longevity, reducing environmental impact, and advancing digitalization in manufacturing processes. Awards & Honors: Francqui Start Up Grant (2023) – Supports innovative battery research FWO Postdoctoral Fellow Senior (2020) – Recognizes her research excellence WEVJ BEST PAPER AWARD (2021) – For contributions to EV battery systems Grants & Projects: Active in >50 projects, including GEARING MOBI (2025–2029) for next-gen EV tech and REBORN (2025–2028) for second-life battery systems. She also co-organizes international conferences like Batteries2025. Labs & Collaborations: Leads interdisciplinary teams in battery design, thermal systems, and sustainability. Collaborates with global institutions on electromobility and decarbonization.

Dirk Van HertemView profile

Professor

• Decision Support for Grid Operators
• Power System Operation and Control
• HVDC Grids
• +4 more

Professor Dirk Van Hertem is a faculty member at KU Leuven, Belgium, where he leads the Energy Transmission Competence Hub (ETCH) within the ELECTA division. He earned his M.Eng. (2001) from KHK Geel, M.Sc. (2003) and PhD (2009) from KU Leuven, and held a postdoctoral position at KTH Royal Institute of Technology (2010). His research focuses on power system planning, operation, and control, particularly for future transmission systems involving HVDC grids, offshore energy infrastructure, and supergrid concepts. Key research areas include: HVDC grid protection Underground power systems Cost-effective resilient energy supply Renewable energy integration Hybrid AC/DC system optimization He co-edited the seminal book HVDC GRIDS: For Offshore and Supergrid of the Future with researchers from UPC Barcelona and Cardiff University. His team includes 12 postdoctoral researchers and 24 PhD students working on topics ranging from grid restoration algorithms to cable fault localization and digital twin applications. Scientific distinctions: Fellow of the IEEE (PES, IAS) Active member of Cigré Principal investigator in multiple EU-funded projects Teaching responsibilities include advanced power system courses co-taught with senior professors. Regular PhD and postdoc vacancies are available through KU Leuven's job portal and the ETCH website.

• Energy Systems
• Electrical Power Systems
• Power Quality
• +6 more

Emmanuel De Jaeger is a Professor of Electrical Energy and Power Systems at the University of Louvain (UCLouvain) , Belgium, since 2012. He serves as Director of Studies for Electro-mechanical and Energy Engineering programs. Previously, he held leadership roles at Laborelec (ENGIE Lab) from 1991-2012, including Scientific Director and Technical Director of Electricity Grids. Education : 1991: Ph.D. in Electrical Engineering, UCLouvain 1985: M.Sc. in Electrical Engineering, UCLouvain His research focuses on energy systems , electrical power systems , power quality , and power electronics , with a strong emphasis on microgrids , smart grids , and renewable energy integration . Recent work includes dynamic modeling of power converters, harmonic disturbances in low-voltage grids, and optimization of energy storage systems. He actively contributes to IEC standardization committees and has published extensively on topics such as pumped storage hydropower , DC microgrid analysis , and voltage control strategies . His teaching portfolio includes courses on electrical power systems , smart grids , and dynamic modeling .

Marie-Anne GuerryView profile

Professor

• Mathematical Modeling
• Markov Chain Models
• Manpower Planning
• +3 more

Marie-Anne Guerry is a Professor at the Vrije Universiteit Brussel (VUB) in Belgium, affiliated with the Faculty of Social Sciences & Solvay Business School. She teaches mathematics and earned her PhD in Sciences in 1992. Her research lies at the intersection of Manpower Planning, Markov Chain Models, and HR Analytics, focusing on quantitative Human Resources Planning and empirical studies of career progression. Mathematical Modeling Markov Chain Models Manpower Planning Quantitative Human Resources Planning Career Studies HR-Analytics Her recent publications emphasize military manpower planning using flow network modeling, predictive analytics for employee absenteeism and turnover, optimization of roster quality in staffing systems, and theoretical advancements in Markov chain perturbations and embedding conditions. These works highlight her expertise in applying stochastic processes to practical HR challenges.

Joeri Van MierloView profile

Professor

• Electric Vehicles
• Lithium-ion Batteries
• Power Converters
• +3 more

Joeri Van Mierlo is a Professor at Vrije Universiteit Brussel (VUB), leading the MOBI Electromobility Research Centre and heading the Electrical Engineering-Energy Technology department. His expertise spans electric/hybrid vehicles, battery systems, and environmental/economic analyses of vehicle technologies. He has held visiting roles at Chalmers University of Technology and serves in key roles with organizations like AVERE and IEEE. Research Interests include electric vehicle innovation, battery technology, energy management systems, and sustainable mobility solutions. His work emphasizes reducing environmental impacts and improving economic viability of electrified transport. Recent articles focus on battery optimization, self-healing materials, thermal management, and LCA analyses. Over 500 publications highlight his contributions to electromobility and energy storage. Awards: Clarivate's Highly Cited Researcher (2023/2024), Energies Best Paper Awards (2016/2017), and multiple best paper recognitions. Grants & Projects: Led 150+ projects including GEARING MOBI (electric vehicle tech) and OptiBATT_IRVA (battery optimization). Labs/Teams: Core leader at MOBI and Flanders Make, collaborating internationally on electromobility initiatives.

Piet WambacqView profile

Professor

• Analog Integrated Circuit Design
• Millimeter-Wave Integrated Circuit Design
• CMOS Circuit Design
• +7 more

Piet Wambacq is a professor at the Department of Electronics and Informatics, Vrije Universiteit Brussel. He is actively engaged in research and development across analog and digital integrated circuit design, with a focus on 6G applications and biomedical technologies. Research Interests Analog and mm-Wave IC design CMOS circuit and device technology co-design High-efficiency power amplifiers and low phase noise oscillators Silicon photonics and biomedical equipment Research Output Trends His recent publications emphasize 6G wireless communication, high-frequency analog circuits, silicon photonics reliability, and biomedical signal processing, with significant contributions in gallium nitride (GaN) and III-V semiconductor technologies. Advising and Projects Wambacq supervises PhD students and collaborates on projects like FWOSB180, FWOSB181, and IOF3016, addressing future health technologies and advanced communication systems.

• RF Engineering
• Microwave Systems
• Nonlinear Distortion Analysis
• +4 more

Dries Peumans serves as a Research Fellow at the Department of Electronics and Informatics within the Faculty of Engineering at Vrije Universiteit Brussel (VUB), Belgium. His research spans RF engineering, microwave systems, and nonlinear signal processing with significant contributions to measurement instrumentation and 6G technology development. Based at the Pleinlaan 2 campus in Brussels, he maintains an active research profile with an h-index of 139 according to institutional metrics. Peumans' research focuses on RF/microwave systems engineering and nonlinear distortion analysis , particularly in power amplifiers and time-varying systems. His work integrates intelligent instrumentation techniques using reinforcement learning and big data approaches to reduce measurement complexity. Key application areas include 6G communications, beamforming transmitters, and EMI shielding materials. His fingerprint analysis reveals dominant expertise in frequency response (100%), power amplifiers (58%), and nonlinear distortion (47%). Recent publications demonstrate strong trends in real-time signal processing for 5G/6G systems, with particular emphasis on digital predistortion techniques using ROVA modeling. His 2025-2024 output shows increasing diversification into materials science (EMI shielding composites) and geophysical applications (lava lake thermal sensing), while maintaining core expertise in RF measurement optimization and time-varying system modeling. Scientific contributions include: Development of scalable models for linear periodic time-varying (LPTV) systems Innovations in power sweep stitching for modulated RF experiments Compact impedance sensors for 24-31GHz beamforming transmitters Equivalent modeling of multilayered conductive composites Peumans actively supervises doctoral research, notably guiding Amedeo Varano's work on ROVA modeling applications. His current projects include OZR4181 (Reducing measurement complexity through intelligent instrumentation, 2023-2027) and SRP78 (Center for Model-Based Systems Improvement, 2022-2027), which integrate photonics, reinforcement learning, and transceiver design. He participates in the FOD168 initiative for 6G leadership development and maintains collaborations across European research institutions through the VUB's Center for Model-Based Systems Improvement. His laboratory work centers on advanced RF measurement systems, with emphasis on time-domain characterization of nonlinear systems and development of intelligent instrumentation frameworks. Current team projects focus on scaling LPTV modeling techniques to incorporate system parameter variations, enabling predictive design of rotating mechanical systems and electronic oscillators.

• Wireless Communication
• 5G and Beyond Networks
• Massive MIMO
• +7 more

Sofie Pollin is a Professor at KU Leuven's Department of Electrical Engineering (ESAT), affiliated with the Faculty of Engineering Science. She leads research in wireless systems and networked systems, focusing on 5G/6G technologies, Massive MIMO, cell-free communication, and non-terrestrial networks. Her work includes integrating communication and sensing, mmWave/THz systems, and sustainable electronics. She holds positions in Leuven One Health and LUSI Urban Studies Institute. Dr. Pollin earned her PhD in 2006 (with honors) from KU Leuven on cross-layer optimization for wireless systems, followed by post-doctoral research at UC Berkeley. She previously served as principal scientist at imec Leuven, working on cognitive radio and software-defined radio for LTE/WLAN standards. Her research has produced numerous publications and collaborations globally. Her current projects span spectrum analytics, machine intelligence in radio access, 6G resource clustering, and resilient healthcare networks. She actively promotes diversity as a faculty diversity promoter and leads initiatives through FITCE.be. Research interests prominently feature aerial networks, integrated ISAC (sensing/communication), and battery-less IoT. Recent work emphasizes mmWave VR systems, light-RF energy harvesting, and radar-based health monitoring. Her publications address technical challenges in beamforming, interference cancellation, and 6G testbed development.

• Reinforcement Learning
• Artificial Intelligence
• Robotics
• +3 more

Ann Nowe is a Professor at the Department of Electronics and Informatics (ETRO) at Vrije Universiteit Brussel. Her research focuses on reinforcement learning, multi-agent systems, robotics, and energy management. She leads the Federated labs AI and Robotics, emphasizing interdisciplinary collaboration in artificial intelligence and sustainable robotics. With a prolific publication record (555+ outputs) and 152 active projects, her work spans theoretical advancements and applied solutions in AI ethics, explainability, and energy systems. Her research interests include AI security, neuro-symbolic integration, and federated robotics. Notable contributions include frameworks for explainable AI in multi-agent environments and predictive maintenance algorithms for wind turbines. She has received multiple awards, including the ALA Best Paper Award (2018) and Best Demonstration Award (2019). Dr. Nowe actively participates in conferences and workshops on trustworthy AI, co-organizing events like the World Conference on eXplainable AI (2025). Her work integrates ethical considerations and human-centric design principles across robotics, energy systems, and collective decision-making.

• Electric Vehicles
• Vehicle-to-Grid (V2G)
• Autonomous Vehicles
• +5 more

Cedric De Cauwer is a postdoctoral researcher at the Electromobility Research Centre (MOBI) of the Free University of Brussels, specializing in electric and hybrid vehicle technology since 2011. He earned his Master's (2011) and PhD (2017) in Engineering from the same university, with his doctoral work focusing on energy consumption prediction and energy-efficient routing. Education : Master's in Engineering (2011), Free University of Brussels PhD in Engineering (2017), Free University of Brussels His research spans electric vehicles , autonomous mobility , and vehicle-to-grid (V2G) integration , emphasizing smart charging infrastructure and grid compatibility. Recent work explores reinforcement learning for energy management and forecasting EV charging flexibility. Scientific Awards : Editor's Choice (2023) WEVJ BEST PAPER AWARD (2021) As a supervisor for Andrei Goncearuc 's PhD (2024) and contributor to 6 Master's theses, he mentors students in electrification feasibility and energy flow analysis. He collaborates on projects like VersnellingsMOBI (2025-2029) and DESTINY (2024-2029), integrating EVs into carbon-neutral energy networks.

Wilmar Martinez MartinezView profile

Associate Professor

• Power Electronics
• Electric Mobility
• Renewable Energies
• +5 more

Wilmar Martinez Martinez is an Associate Professor at the Department of Electrical Engineering (ESAT) , KU Leuven , and Research Line Coordinator at EnergyVille. His work bridges power electronics, renewable energy systems, and electromobility technologies. Education: PhD in Power Electronics (Shimane University, Japan), MSc in Electrical Engineering (Universidad Nacional de Colombia) Research Interests: Power conversion optimization for energy systems, magnetic components design, SiC/GaN semiconductor applications, and machine learning in power electronics Projects: Leads research on high-frequency magnetic components, wireless charging topologies, and sustainable energy storage solutions with ongoing projects until 2028 Publications: 15 most recent works focus on converter architectures, thermal modeling, and AI-driven magnetic loss predictions Affiliations: Member of EnergyVille, Leuven Centre for Affordable Sustainable Technology, and KIES - KU Leuven Institute for Energy and Society

Bart De MoorView profile

Professor

• Mathematical Engineering
• System Theory and Control
• Numerical Optimization
• +4 more

Professor Bart De Moor is a full professor at the KU Leuven Faculty of Engineering Sciences, affiliated with the Department of Electrical Engineering (ESAT) and the STADIUS Center for Dynamic Systems, Signal Processing, and Data Analysis. His research spans mathematical engineering, system theory, and biomedical data science, with significant contributions to Machine Learning Medical AI Time Series Analysis High-Dimensional Data Optimization underpinned by an ERC Advanced Grant and the Order of the Crown (2025). His recent work includes AI-driven clinical decision support systems ( BJOG , 2025), spatial omics pipelines for pancreatic cancer ( Cancer Research , 2025), and energy demand forecasting ( Applied Energy , 2025). He has supervised over 93 PhD students and founded 9 spin-offs, including Health House and Athumi .