جست‌وجوی استاد و پژوهشگر

• Wireless Communication
• 5G and Beyond Networks
• Massive MIMO
• +۷ مورد دیگر

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
• +۳ مورد دیگر

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
• +۵ مورد دیگر

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 Martinezمشاهده پروفایل

دانشیار

• Power Electronics
• Electric Mobility
• Renewable Energies
• +۵ مورد دیگر

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

• Electrical Engineering
• Mechanical Engineering
• Robotics
• +۳ مورد دیگر

Bruno Dehez is a Lecturer at the University of Louvain (UCLouvain), affiliated with the School of Engineering and the Department of Mechatronic, Electrical Energy, and Dynamic Systems (MEED). His research focuses on electrical and mechanical engineering, particularly in electrodynamic bearings, self-bearing machines, magnetic levitation, and biomedical robotics. Key collaborations: Louis Beauloye, Simon Van Roy, Virginie Kluyskens Patents: Electric machine with electrodynamic bearings, winding design methods Recent work: 3D hybrid analytical modeling for magnetic suspensions, additive manufacturing of magnetic alloys, and rehabilitation robotics Research Trends : His 15 most recent publications (2025-2018) span electrodynamic bearings, magnetic levitation, PCB winding optimization, and stroke rehabilitation robotics. Collaborations with biomedical teams highlight applications in cognitive and motor recovery post-stroke.

Thomas Geuryمشاهده پروفایل

پژوهشگر

• Electric Vehicles
• Vehicle-to-Grid Systems
• Energy Storage
• +۴ مورد دیگر

Thomas Geury is a postdoctoral researcher at the MOBI - Electromobility Research Centre within the Free University of Brussels (VUB) , specializing in Electrical Engineering-Power Technology. His work focuses on advanced power electronics, energy storage, and electric vehicle systems. Education: PhD in Engineering Sciences and Technology (2017), Université libre de Bruxelles Master in Electrical Engineering (2012), Université libre de Bruxelles Bachelor in Electromechanical Engineering (2010), Université libre de Bruxelles His research interests include electric vehicles , vehicle-to-grid systems , energy storage , and power electronics . He has contributed to projects involving battery management, modular converters, and sustainable energy integration. Recent work highlights optimization frameworks for DC-DC converters , microgrid design for marine applications , and smart charging infrastructure . His publications emphasize efficiency, modularity, and interoperability in renewable energy and electric mobility systems. Scientific Awards: The Best Paper Award on Energy for Sustainable Mobility (2024) Geury collaborates on EU-funded projects like HARPOONERS (marine electrification) and FLEXMSC (megawatt charging). He has served as a chair for IEEE conference sessions on modular converter design and control systems.

Md Sazzad Hosenمشاهده پروفایل

استاد پژوهشی

• Battery Characterization
• Digital Twin Development
• Battery Management Systems (BMS)
• +۵ مورد دیگر

Md Sazzad Hosen is a Research Professor at the MOBI - Electromobility Research Centre, Vrije Universiteit Brussel, with affiliations in the Electrical Engineering and Power Electronics department. His expertise spans battery characterization, digital twin development, and battery management systems (BMS). He leads projects on energy storage systems, predictive tool development, and battery safety. He holds a Doctorate in Engineering Sciences from Vrije Universiteit Brussel (2021), a Master's in Power Engineering from Brandenburg University of Technology (2016), and a Bachelor's in Mechanical Engineering from Khulna University of Engineering and Technology (2012). Research Interests: Energy storage system design, online/offline predictive tools, battery safety, and second-life battery applications. His work focuses on lithium-ion battery degradation, thermal management, and machine learning-driven health monitoring. He has contributed to projects like REBORN (reusable battery modules) and NEMO (advanced battery electronics models). Recent Projects: Active in EU-funded initiatives such as GEARING MOBI (electric vehicle tech), THOR (battery testing methodologies), and AM4BAT (solid-state battery manufacturing). Collaborates extensively with industry partners like CLARIOS and Continental. Labs/Teams: Involved in the Electromobility Research Centre, leading teams in battery lifecycle modeling and digital twin development. Supervises PhD candidates and advises on battery integration in renewable energy systems.

Kamil Burak Dermenciمشاهده پروفایل

پژوهشگر

• Lithium-ion batteries
• Solid-state batteries
• Electrochemical Engineering
• +۳ مورد دیگر

Kamil Burak Dermenci is a postdoctoral researcher at the Vrije Universiteit Brussel (VUB), affiliated with the MOBI - Electromobility Research Centre and the Department of Electrical Engineering and Power Electronics. His research focuses on lithium-ion batteries, solid-state batteries, and advanced materials for energy storage systems. He holds a Researcher academic rank and has contributed to over 28 peer-reviewed publications and 6 research projects, including EU-funded initiatives like H2020 BAT4EVER and PHOENIX. Education and Previous Affiliations: He served as a Research Assistant at Eskisehir Technical University (2001–2023). His work emphasizes industrial applications, such as optimizing battery manufacturing processes and developing self-healing battery technologies. Key areas include inorganic polymer electrolytes, cobalt-free cathode materials, and multiphysics modeling of battery degradation. Research Contributions: Dermenci’s projects address challenges in battery thermal management, smart manufacturing, and sustainability. Notable outputs include studies on surfactant effects on anode performance and environmental impacts of self-healing batteries. He actively participates in conferences and workshops, presenting on topics like battery machinery productivity and digitalization in manufacturing. Future Work: Ongoing projects (e.g., IPSU 2025) focus on polymer-based thermal management systems and embedded sensors for battery health monitoring. His research aims to bridge gaps between material science and industrial implementation for next-generation electric vehicle technologies.

Francisco Molina Lopezمشاهده پروفایل

مدرس ارشد

• Flexible and Printed Electronics
• Thermoelectric Energy Harvesting
• Hybrid Organic-Inorganic Materials
• +۵ مورد دیگر

Francisco Molina Lopez is a Senior Lecturer at the Faculty of Engineering Sciences , KU Leuven , with affiliations to the Materials Science Division , LBI - KU Leuven Brain Institute , and Leuven.AM – Institute for Additive Manufacturing . His research focuses on printed, flexible/stretchable/soft hybrid organic-inorganic electronic materials for autonomous systems in wearables, soft robotics, and the Internet of Things (IoT) . His work spans: Thermoelectric Generators using printed electronics Hybrid Nanocomposites for stretchable sensors 3D Printing of energy materials Icephobic Coatings for sustainable energy Notable grants and projects : ERC Starting Grant (2020) for 3D ALIGN project FWO Fellowships for Tanmay Sinha and Viktor Naenen MSCA Postdoctoral Fellowships for Altynay Kaidarova and Juhyung Park Recent publications highlight advancements in brush-printed PEDOT:PSS (ACS Applied Materials & Interfaces, 2025), 3D-printed thermoelectrics (Advanced Science, 2025), and icephobic surface engineering (Materials Science & Engineering: R, 2025). His team collaborates with institutions in Saudi Arabia, Spain, Switzerland, and the USA. Students and postdocs in his group include: PhD Candidates: Hasan Emre Baysal, Bokai Zhang, Viktor Naenen Postdocs: Shubhradip Guchait, Juhyung Park Former PhDs: Yuan Tian (now patent attorney), Daiman Zhu (faculty at NCEPU) Labs and networks include the LBI Brain Institute and Leuven Institute for Additive Manufacturing . He actively participates in international conferences like MRS, ECME, and ICFPE.

• Electric Vehicles
• Reluctance Motors
• Wireless Power Transfer
• +۳ مورد دیگر

Yassine Benômar is an unpaid researcher affiliated with the MOBI - Electromobility Research Centre and Electrical Engineering and Power Electronics at Vrije Universiteit Brussel. His work focuses on electric vehicle propulsion systems, reluctance motors, and wireless power transfer. PhD Thesis: Sizing and control of a brushless doubly fed reluctance motor drive system for variable speed applications (2022) Master's Thesis: Optimized control system for Interoperable Wireless-Power Transfer systems (2016) Research interests include digital twin development , powertrain engineering , and vehicle-to-grid optimization . Recent publications highlight advancements in multiphase motor systems and switched reluctance machines . Scientific awards include the Best Paper Award at SMART 2024 . He has supervised student research on heavy-duty EV charging scenarios and control systems for wireless power transfer

• Power System Modelling & Control
• Power Electronics Modelling & Control
• HVDC Transmission Systems
• +۳ مورد دیگر

Jef Beerten is an Associate Professor at the Department of Electrical Engineering (ESAT) within the Faculty of Engineering Science at KU Leuven. His work focuses on power system modeling and control, particularly in HVDC transmission and renewable energy integration. Research Topics: Power system modeling & control, power electronics modeling & control, HVDC Key Projects: Large-Scale Stability Analysis (2025-2028), Control Interactions in Future Power Systems (2024-2028), Battery-Integrated HVDC Ancillary Services (2024-2028) Teaching: Courses in Power Systems (H04A0A), Process Control (H08P1A), and Renewable Energy Conversion (H0O42A) His recent publications emphasize small-signal stability analysis of grid-forming converters, harmonic interactions in HVDC systems, and dynamic control strategies for renewable energy integration. He leads multiple research initiatives including the HARMONIC project on industrial electrification and underground transmission grid optimization. Beerten serves as a member of both the Faculty of Engineering Science Council and Electrical Engineering Department Council, contributing to academic governance.

• Energy Systems
• Machine Learning
• Power Electronics
• +۴ مورد دیگر

Hussain Syed Kazmi is an Assistant Professor at KU Leuven, affiliated with the Department of Electrical Engineering (ESAT) and the Faculty of Engineering Science. He serves as head of the Subdivisie EnergyVille Electa - Kazmi and is a member of EnergyVille and KIES (KU Leuven Institute for Energy and Society). His work focuses on energy systems innovation through data science and machine learning. Assistant Professor, Department of Electrical Engineering (ESAT) Head of Subdivisie EnergyVille Electa - Kazmi Member of EnergyVille and KIES Institute His research spans energy systems, machine learning, and building dynamics, with projects addressing electric vehicle smart charging, renewable energy forecasting, grid stability analysis, and climate-resilient building design. Publications emphasize interpretable AI, physics-informed modeling, and energy flexibility quantification. Recent projects include: Physics-infoRmEd: Data-driven control for building energy demand Esurrogates: Climate resilience and energy efficiency co-optimization FlexIQ: User flexibility in distribution networks Kazmi teaches courses such as Capita Selecta Data Science for Energy and Smart Distribution Systems, integrating his research into energy-focused academic training.

• Power Electronics
• Artificial Intelligence in Design Automation
• DC-DC Converters
• +۷ مورد دیگر

Diego Gerardo Bernal Cobaleda is a researcher at KU Leuven , affiliated with the Electrical Engineering Department (ELEKTRA) and the EnergyVille research institute. His work focuses on power electronics design automation, integrating artificial intelligence (AI) and machine learning (ML) techniques to optimize converter efficiency and component selection. Research Highlights : AI-driven semiconductor datasheet analysis, variable transformer design for wide voltage ranges, reinforcement learning for converter parameter optimization. Collaborators : Fanghao Tian, Wilmar Martinez, Camilo Suarez Buitrago, Miguel Vivert. His recent publications address: Automated extraction of dynamic characteristics from MOSFET datasheets using computer vision. Development of resonant multi-input multi-output (MIMO) converters for aerospace applications. Integration of variable transformers in LLC and dual active bridge (DAB) topologies for improved efficiency. Application of deep reinforcement learning (DDPG) to optimize converter parameters. He has contributed to journals including IEEE Transactions on Power Electronics , Energies , and IEEE Access , as well as conferences such as IEEE APEC, ECCE Asia, and ISIE.

• Power Electronics
• Electric Vehicle Charging Systems
• Magnetic Components Design
• +۲ مورد دیگر

Hans Wouters is a Researcher at KU Leuven, based at the EnergyVille research campus in Thor Park, Genk, Belgium. His work focuses on advancing power electronics for electric vehicle charging systems through innovative magnetic component design and machine learning applications. Affiliated with KU Leuven's EnergyVille institute—a collaboration between KU Leuven, VITO, imec, and UHasselt—he operates within the sustainable energy research ecosystem in Genk. Wouters' research spans critical areas in modern power electronics: Integrated magnetics for ultra-compact power converters Novel transformer structures like the 3D Matrix Transformer combining interleaved windings and inductor integration Machine learning techniques (reinforcement learning, deep neural networks) for magnetic design optimization and loss estimation Bidirectional onboard charger topologies for electric vehicles Orthogonal biasing methods for controllable magnetic devices His work consistently targets efficiency, power density, and cost reduction in automotive power conversion systems. Analysis of his 15 most recent publications reveals two dominant trends: (1) The integration of machine learning with traditional magnetic design, exemplified by reinforcement learning for real-time inductor optimization and deep neural networks for core loss prediction beyond 1MHz; and (2) The development of mechanically integrated magnetic solutions like PCB-wound transformers and the 3D Matrix structure that consolidate multiple functions into single magnetic components. These approaches directly address industry demands for smaller, lighter, and more efficient EV charging systems. Scientific awards: No awards or fellowships were documented in the provided materials. Advising and grants: No information regarding student supervision, research grants, or funding sources was available in the source texts. His collaborative publications suggest team-based research at EnergyVille but lack specific grant acknowledgments. Labs and teams: Wouters operates within EnergyVille's power electronics research group at Thor Park 8310 (room 02.23A), Genk. This facility hosts KU Leuven's electric vehicle charging research, featuring specialized equipment for magnetic characterization (e.g., MagNet database systems), PCB transformer prototyping, and high-power EV charger validation. His work appears integrated with teams developing wide-bandgap semiconductor applications and automotive powertrain integration.

• Solar Energy
• Photovoltaics
• Renewable Energy Systems
• +۳ مورد دیگر

Jens Moschner is a researcher at KU Leuven , focusing on advanced photovoltaic technologies and renewable energy systems. His work spans both Solar Energy and Renewable Energy Systems , with specialized contributions to offshore floating PV, solar cell metallization, and hybrid energy harvesting. Based at the Arenberg campus in Leuven, Belgium, he collaborates on interdisciplinary projects addressing energy yield optimization, thermal management, and mechanical durability. Research Themes: Solar cell metallization, offshore floating photovoltaics, hybrid solar-wind systems, thermal performance optimization Technical Domains: Mechanical Engineering, Electrical Engineering, Materials Science, Climate Science Recent publications highlight his expertise in Wire-based and Foil-based Metallization techniques, offshore wind-PV complementarity, and bifacial PV performance enhancement. His work integrates experimental validation with long-term scenario modeling, particularly for North Sea applications.