جستجوی استاد راهنمای دانشگاهی

Simon J. Watson is a Professor in the Faculty of Aerospace Engineering at Delft University of Technology, specializing in Wind Energy through the TU Delft Wind Energy Institute (DUWIND). His work focuses on advancing wind turbine technology, wind farm optimization, and renewable energy integration within the university's aerospace framework. His research spans wind turbine engineering, condition monitoring systems, atmospheric effects on energy production, and wind farm design. Key investigations include damage detection in turbine components (blades, drivetrains), simulation of atmospheric gravity waves for improved energy forecasting, and hybrid wind-storage systems for grid stability. Recent work emphasizes machine learning applications for predictive maintenance and high-fidelity modeling of boundary layer conditions. Professor Watson's 2025 publications reveal a strong trend toward AI-driven condition monitoring and refined atmospheric simulations, with consistent focus on operational reliability and damage detection across wind energy systems. His work bridges computational fluid dynamics, structural health monitoring, and energy storage integration. He actively supervises students and leads the €4.2M MERIDIONAL project (2022-2026) on multiscale wind farm modeling, developing advanced toolchains for performance assessment and load prediction. This EU-funded initiative involves collaboration with Siemens Gamesa, Vestas, and ENEL. As a core member of DUWIND, he co-develops industry partnerships and experimental facilities including wind tunnel testing and field monitoring systems for offshore wind farms. His team maintains close ties with the Netherlands Wind Energy Association and European Wind Energy Technology Platform.

• Wind Energy
• Wind Turbine Engineering
• Condition Monitoring
• +۳ مورد دیگر

Dr. Axelle Viré is an Associate Professor in the Flow Physics and Technology department within the Faculty of Aerospace Engineering at Delft University of Technology. Her research focuses on advanced wind energy systems, particularly floating offshore wind and airborne wind energy technologies. Her research interests span multiple areas of renewable energy systems: Floating offshore wind energy systems Airborne wind energy conversion Fluid-structure interactions in wind turbine systems High-fidelity numerical modeling of complex flow phenomena Turbulence modeling for wind energy applications Dr. Viré's recent publications demonstrate a strong focus on wind turbine wake control, vortex dynamics, and aerodynamic optimization. Her work combines experimental approaches with advanced numerical modeling to address key challenges in wind energy technology. She has made significant contributions to understanding wake recovery processes, active wake control strategies, and the aerodynamic behavior of floating offshore wind turbines under dynamic conditions. Among her notable achievements is the Delft Education Fellowship awarded in 2023, recognizing her contributions to academic education. She has supervised multiple students and is actively involved in research projects advancing wind energy technology. Dr. Viré is currently leading the active research project 'Accelerating Dutch innovations in offshore renewables through data-driven hybrid labs' (2024-2031) and has previously contributed to significant projects including AWESCO (Airborne Wind Energy System Modelling, Control and Optimisation) and NUMIWING (Numerical modelling of inflatable airborne wind energy systems). She maintains an active public engagement profile, with multiple media appearances discussing wind energy innovations and has participated in events such as Aerospace Diversity Day, demonstrating commitment to both research excellence and inclusive academic practices.

• Floating offshore wind energy
• Airborne wind energy
• Fluid-structure interactions
• +۴ مورد دیگر

Haidar Samet is a Researcher in the Department of Electrical Engineering at Eindhoven University of Technology, focusing on power systems, electric arc furnaces, and fault detection. He previously held academic roles at Shiraz University, including Professor (2018–2020), Head of Department of Power and Control (2017–2019), Associate Professor (2014–2018), and Assistant Professor (2008–2014). His research bridges electrical engineering fundamentals with practical applications in renewable energy and grid reliability. Research Interests: Electric Arc Furnace Modeling and Optimization Fault Detection in Power Systems and Photovoltaic Systems Grid Protection Mechanisms Renewable Energy Integration and Smart Grid Technologies Power Quality Analysis Publications highlight advancements in arc fault modeling, transformer protection algorithms, and renewable energy system optimization. His work frequently addresses challenges in grid stability, energy efficiency, and predictive maintenance. No scientific awards or grants were explicitly mentioned in the provided materials.

• Power Systems
• Electrical Engineering
• Renewable Energy
• +۴ مورد دیگر

Oriol Colomes Gene serves as Assistant Professor in the Offshore Engineering section within the Faculty of Civil Engineering and Geosciences at Delft University of Technology. He leads the Computational Multiphysics in Offshore Engineering research group, focusing on advanced numerical methods for offshore renewable energy applications. His teaching responsibilities include the “Floating and Submerged Structures” module for Civil Engineering master’s students and “Introduction to Computational Dynamics of Offshore Structures” in the Offshore and Dredging Engineering master’s program. His educational background includes a combined Bachelor’s/Master’s degree in Civil Engineering (2011) and a PhD in Civil Engineering (2016) from Universitat Politècnica de Catalunya, followed by postdoctoral research at Duke University (2016-2020). Colomes Gene’s research centers on computational multiphysics with emphasis on: Development of efficient Finite Element solvers for turbulent flows, free-surface flows, and visco-elasto-plastic solids Fluid-structure interaction in complex geometries Numerical methods for multi-phase and multi-material systems Applications in offshore wind, wave energy, and floating photovoltaics His recent work demonstrates strong integration of theoretical numerical methods with practical offshore renewable energy challenges, particularly in hydroelastic analysis of floating structures and optimization of energy capture systems. His scientific recognition includes: NWO Open Technologieprogramma subsidy for the RAPID-Wind project (2025) Colomes Gene actively supervises research within his Computational Multiphysics group and contributes to major collaborative projects including SPARKLES (2024-2030), which investigates nature-positive floating solar solutions. His research is supported by significant grants targeting offshore renewable energy innovation and computational methodology advancement. His laboratory work focuses on high-performance computing for multiphysics simulations, with particular expertise in developing and validating numerical frameworks for: Free-surface flows interacting with structures Vortex-induced vibrations Complex geometry hydrodynamics Hydroelastic response of very large floating structures

• Computational Multiphysics
• Offshore Renewable Energy
• Finite Element Methods
• +۵ مورد دیگر

J.W. van Wingerden is a Professor at the Wind Energy Institute (DUWIND) within the Mechanical Engineering school at Delft University of Technology (TU Delft) . His work focuses on wind turbine engineering, flow control strategies, and wake dynamics optimization in wind farms. Active research in model-predictive control systems Leadership in multidisciplinary wind energy projects Development of open-source simulation tools His research explores wake dynamics , atmospheric boundary layer interactions , and data-driven modeling to enhance wind farm efficiency. Recent publications address open-source frameworks for flow control and validation studies on turbine arrays. He received the O. Hugo Schuck Prize (2023) for contributions to automatic control applications. Current projects include Active Wind Farm Cluster Wake Mixing (2024–2028), aiming to improve wake mixing and energy capture in large wind farms.

• Wind Turbine Engineering
• Wind Farm Flow Control
• Wake Dynamics
• +۴ مورد دیگر

Dominic A. von Terzi is a Professor in the Faculty of Aerospace Engineering at Delft University of Technology, specializing in Wind Energy through the TU Delft Wind Energy Institute (DUWIND). His work bridges fundamental fluid dynamics research with practical wind turbine engineering applications, focusing on enhancing operational reliability and performance in challenging environments. His research centers on Wind Energy and Aerospace Engineering, with deep expertise in Turbulence modeling, Large Eddy Simulation, and Wind Turbine Aerodynamics. He investigates critical phenomena including rain erosion on blade leading edges, transonic flow effects at turbine tips, and innovative concepts like floating offshore wind systems and airborne wind energy. His approach combines advanced computational modeling with real-world validation to address industry challenges in turbine durability and energy yield optimization. Recent publications reveal strong trends toward solving operational challenges in extreme conditions (erosion, transonic flow) and system-level innovations (wind-storage integration, airborne energy). These works emphasize computational rigor while exploring frontier concepts like hydrogen production from offshore wind and floating turbine platforms, reflecting a strategic shift toward holistic energy system design beyond standalone turbine optimization. Professor von Terzi chairs the European Research Community on Flow Turbulence and Combustion (ERCOFTAC) and leads research within the EU-funded MERIDIONAL project on multiscale wind farm modeling. He has supervised two students and maintains active industry engagement through media discussions on floating wind technology and grid integration. Embedded within DUWIND's collaborative ecosystem, his work leverages partnerships with institutions like ERCOFTAC and industry stakeholders to advance wind energy technology. Current efforts focus on erosion-safe operational modes, transonic flow management, and scaling airborne wind energy systems, positioning him at the forefront of next-generation wind energy solutions.

• Wind Energy
• Aerospace Engineering
• Turbulence
• +۳ مورد دیگر

Dr. Hamid Montazeri is an Assistant Professor in the Department of the Built Environment at Eindhoven University of Technology (TU/e) , Netherlands. He joined TU/e in 2020 and completed his PhD in Building Physics and Wind Engineering at the same institution in 2015. Prior to his current role, he held postdoctoral fellowships from the Research Foundation Flanders (FWO) in 2015 and 2018, focusing on convective heat transfer in turbulent boundary layers and building-integrated photovoltaics at KU Leuven (Belgium). Dr. Montazeri's research expertise includes aerodynamics and fluid dynamics applied to buildings , urban wind energy systems , and renewable energy solutions . He develops advanced multi-scale multi-physics models using computational fluid dynamics (CFD) and machine learning to enhance building energy efficiency and sustainable urban design. His work contributes to UN Sustainable Development Goals related to affordable and clean energy (SDG7) and sustainable cities (SDG11). He has received several accolades, including the Best PhD/Postdoc Award (2015) and Best PhD Supervision Team Award (2016) from TU/e's Department of the Built Environment. His 2017 paper was ranked among the top-cited in Building & Environment for 2012-2017. He serves on the editorial boards of Energy , Renewable Energy , and Journal of Wind Engineering and Industrial Aerodynamics , among others. His educational background includes a MSc in Mechanical Engineering (2006) and PhD in Building Physics and Wind Engineering (2015) , both from TU/e. He has supervised 16 research projects and actively collaborates on urban microclimate studies, wind energy harvesting, and building-integrated photovoltaic systems.

• Aerodynamics
• Fluid Dynamics
• Building-Integrated Photovoltaics
• +۳ مورد دیگر

A.C. Viré is an Associate Professor in the Department of Aerospace Engineering at Delft University of Technology. Their research focuses on floating offshore wind energy, airborne wind energy systems, fluid-structure interactions, and high-fidelity numerical/turbulence modeling. They lead projects like Accelerating Dutch innovations in offshore renewables through data-driven hybrid labs and collaborate internationally. Research areas: Wind turbine wake dynamics, vortex-induced vibrations, dynamic stall control Key methodologies: Porous disk modeling, PIV experiments, numerical simulations Affiliations: Flow Physics and Technology group Scientific contributions include advancements in helix active wake control, floating turbine load analysis, and inflatable wing aerodynamics. They have published extensively in journals like Physics of Fluids and Wind Energy Science , with recent work (2025) exploring synergies between wake mixing and yawing dynamics. Awards : Delft Education Fellowship (2023) Public Engagement : Viré actively participates in media outreach and educational events, including the Aerospace Diversity Day (2020). They have presented at international conferences on floating offshore wind energy and cluster wake mixing.

• Floating offshore wind energy
• Airborne wind energy
• Fluid-structure interactions
• +۲ مورد دیگر

Twan A.J. van Hooff is an Associate Professor and Chairman of the Unit Building Physics and Services within the Department of the Built Environment at Eindhoven University of Technology (TU/e). His research focuses on experimental and numerical modeling of ventilation flows, heat/mass transfer, and climate change adaptation in buildings. He holds a double doctorate from TU/e (2012, with honors) and KU Leuven (2012), and has published 60 ISI journal papers (18 as first author) and 90 conference papers. His research spans Computational Fluid Dynamics (CFD) , natural ventilation , stadium aerodynamics , and airborne infection control in buildings. He leads projects like NudgeFlow (next-gen residential ventilation) and MIST P20-35 (airborne infection mitigation), and contributes to pandemic preparedness via projects like S3 (safe sports events) and CLAIRE (clean air solutions). Scientific Awards : Best Paper Award, Building and Environment (2011) Best Researcher Award, TU/e (2017) Top-Cited Paper, Environmental Modelling & Software (2017) He serves on editorial boards for the Journal of Building Physics and Journal of Wind Engineering and Industrial Aerodynamics , and has reviewed for 56 ISI journals. His work aligns with UN Sustainable Development Goals for Sustainable Cities and Climate Action .

• Building Ventilation
• Computational Fluid Dynamics (CFD)
• Natural Ventilation
• +۷ مورد دیگر

Bart De Schutter is a Full Professor and Head of the Delft Center for Systems and Control (DCSC) at Delft University of Technology , The Netherlands. He leads a research group focused on advanced control methodologies with applications in transportation, energy, and environmental systems. His research interests span model predictive control (MPC) , hybrid and piecewise-affine systems , multi-agent and distributed control , reinforcement learning , and discrete event systems with applications in intelligent transportation, smart grids, and underwater robotics. His work integrates model-based and data-driven approaches to enable robust, scalable, and intelligent control of large-scale networks. His recent publications reflect a strong trend toward integrating learning with formal control methods, ensuring safety and performance in complex hybrid systems. Research themes include learning-based MPC, scenario reduction for stochastic control, stability analysis of max-plus systems, and applications in railway scheduling and marine monitoring. Notable scientific awards include: ERC Advanced Grant (CLariNet, 2021–2026) Richard C. DiPrima Prize for PhD thesis Robert Stock Prize for PhD theses in Exact Sciences VIDI grant from STW IEEE Fellow IFAC Fellow Bart De Schutter has coordinated major EU projects such as HD-MPC , SeaClear , and SeaClear2.0 , demonstrating leadership in both theoretical innovation and real-world applications. He serves as a senior editor for IEEE Transactions on Intelligent Transportation Systems and associate editor for IEEE Transactions on Automatic Control . He leads a research team working on next-generation control solutions for autonomous systems and infrastructure, with ongoing projects in intelligent traffic control, smart energy systems, and underwater robotics. The group actively recruits PhD and postdoctoral researchers, indicating a vibrant and expanding lab environment.

• Model Predictive Control
• Hybrid Systems
• Multi-Agent Systems
• +۱۳ مورد دیگر

Roel Verstappen is a Professor in the Department of Computational and Numerical Mathematics at the University of Groningen's Faculty of Science and Engineering. His expertise spans Scientific Computing and Computational Fluid Dynamics, with a focus on turbulence simulation, large-eddy simulation (LES), and multiphase flows. He actively contributes to advancing numerical methods and models that preserve physical symmetries and conservation laws. Research Interests: His work centers on developing low-dissipation simulation techniques, regularization modeling, and symmetry-preserving discretization for complex fluid dynamics problems. Key areas include turbulent flow analysis, multiphase flow dynamics, and applications in robotics and renewable energy systems. He has pioneered methods to ensure energy and momentum conservation in computational models and explored bio-inspired designs for soft robotic swimmers. Articles Trends: Recent publications highlight innovations in LES for multiphase flows, fluid-structure interaction in biological systems, and robotics. He has also investigated uncertainty quantification in wind-farm simulations and collaborated on projects involving magnetic actuation and natural convection flows. These works reflect a blend of theoretical advancements and practical engineering applications. Advising & Grants: He supervises graduate research in computational fluid dynamics and numerical methods but no specific student names are listed. His funding sources and grants are not explicitly mentioned in the provided texts. Labs/Teams: Verstappen is affiliated with the Bernoulli Institute, which focuses on interdisciplinary research in mathematics, computer science, and engineering. His collaborations include researchers from institutions like TU Eindhoven and the University of Zaragoza, addressing challenges in maritime engineering, soft robotics, and sustainable energy systems.

• Computational Fluid Dynamics
• Scientific Computing
• Turbulent Flow
• +۶ مورد دیگر

Arne van Garrel serves as an Assistant Professor in the Engineering Fluid Dynamics department. His research focuses on aerodynamics, wind turbine technology, fluid dynamics, and boundary layer analysis, with applications in renewable energy systems. He has contributed to advancing numerical methods for wind turbine wake simulations and vortex dynamics. Key research interests include circulation distribution optimization for flying wings, wake roll-up phenomena, and aerodynamic performance enhancement of wind turbines. His work integrates computational fluid dynamics (CFD) with experimental validation to address challenges in turbine blade design and noise reduction. Notable contributions span studies on diffuser-augmented wind turbines, multi-level panel methods, and vortex generator-induced noise mitigation. His articles highlight trends in coupled aerodynamic methods, turbine array interactions, and aerospace-inspired approaches to wind energy systems. Van Garrel collaborates on interdisciplinary projects involving flow control, turbulence modeling, and numerical validation of turbine performance. His research aligns with sustainable energy goals, emphasizing efficiency and environmental impact reduction in wind energy systems.

• Aerodynamics
• Wind Turbine Technology
• Fluid Dynamics
• +۳ مورد دیگر

C.J. Simao Ferreira is a Professor at Delft University of Technology's Faculty of Aerospace Engineering, where he specializes in Wind Energy research. He is affiliated with the TU Delft Wind Energy Institute (DUWIND), a leading center for wind energy research in Europe. His academic credentials include a Dr.ir. degree from TU Delft, and he has established himself as a prominent researcher in wind turbine aerodynamics. Professor Ferreira's research focuses on wind turbine aerodynamics, with particular expertise in vertical axis wind turbines, unsteady flow phenomena, and airfoil design. His work addresses critical challenges in wind energy harvesting, including dynamic stall characteristics, wake interactions in wind farms, and high-density wind farm layouts. His research combines experimental approaches (using PIV and other advanced measurement techniques) with computational modeling to advance understanding of complex aerodynamic phenomena. His recent publication trends show consistent output in high-impact journals, with multiple 2025 publications examining advanced topics in wind turbine aerodynamics, propeller aeroacoustics, and regenerative wind farming concepts. His work spans both fundamental aerodynamic research and practical applications for improving wind energy systems. 199 total research outputs including 85 articles, 57 conference contributions, and 46 conference articles 19 datasets published through TU Delft-4TU.ResearchData 14 supervised students or junior researchers Publications in Wind Energy, AIAA Journal, Journal of Aircraft, and Wind Energy Science Professor Ferreira actively supervises graduate students and maintains research collaborations both within TU Delft and internationally. His research group conducts experimental work using advanced facilities including wind tunnels and PIV systems, and develops computational models to analyze wind turbine performance. His recent work on regenerative wind farming demonstrates innovation in wind energy system design, exploring novel approaches to maximize energy capture from wind resources.

• Wind Turbine Aerodynamics
• Vertical Axis Wind Turbines
• Unsteady Aerodynamics
• +۵ مورد دیگر