جستجوی استاد راهنمای دانشگاهی

Yiyu Ou is an Associate Professor in the Department of Electrical and Photonics Engineering at the Technical University of Denmark (DTU), where she leads research in optoelectronic devices, particularly light-emitting diodes (LEDs) and biomedical photonics. Her work bridges materials science, semiconductor engineering, and sustainable technology development. Department: Electrical and Photonics Engineering Institution: Technical University of Denmark (DTU) Research Focus: LED Systems, Silicon Carbide, Biomedical Implants Her research interests center on the development of advanced optoelectronic materials and devices, with a strong emphasis on nitride-based LEDs, fluorescent silicon carbide, and wireless optoelectronic biomedical implants. She explores novel packaging techniques, light extraction efficiency, and UV disinfection systems, contributing significantly to sustainable photonics and healthcare technologies. The recent trend in her publications shows a clear trajectory toward applied photonics in medicine and environmental health, including wireless implants, UV-B phototherapy, and wearable disinfection systems. Her work combines semiconductor physics with biomedical applications, demonstrating innovation in both materials and system integration. Scientific Awards and Recognition: No specific awards listed in the provided text. Yiyu Ou has served as Principal Investigator (PI) and supervisor on multiple research projects, including the DISOLE disinfection initiative and PhD supervision. Her grants focus on implantable UV-LED systems and innovative white LED light sources, often funded by Danish and European research councils. She collaborates extensively across disciplines, particularly with medical researchers and material scientists. She is affiliated with the Photonics group at DTU Fotonik, where her team works on diode lasers and LED systems. Research areas include porous SiC fabrication, hybrid white LEDs, and high-efficiency nitride devices, contributing to both fundamental science and commercial applications.

• Optoelectronics
• Light-Emitting Diodes (LEDs)
• Photonic Engineering
• +۷ مورد دیگر

Farshid Naseri serves as an Associate Professor at AAU Energy within The Faculty of Engineering and Science at Aalborg University, Denmark. His research centers on advancing electric vehicle technologies through innovations in energy storage, power electronics, and control systems, with significant contributions to battery and supercapacitor management. Education: Ph.D. in Electrical Engineering specializing in State Estimation in Advanced Electric Vehicles Research Focus: Dr. Naseri's work spans Electric Vehicles , Battery Management Systems , and Energy Storage , with emphasis on state estimation, predictive control, and system stabilization. His fingerprint analysis reveals core expertise in Supercapacitor engineering (100%), Kalman Filtering (100%), and State of Charge determination (100%), reflecting deep specialization in electrochemical energy systems for sustainable transportation. Publication Trends: Recent publications (2020-2025) demonstrate a strategic evolution from foundational supercapacitor modeling toward AI-integrated battery management and cybersecurity for connected vehicle systems, with increasing focus on real-world vehicular applications and next-generation lithium iron phosphate cells. Scientific Recognition: Awarded Europe's most prestigious research grant in 2025 for groundbreaking work in electric vehicle technology Research Leadership: Principal Investigator for the DeepBMS project (2023-2025), developing deep reinforcement learning-based battery management systems. His work directly contributes to UN Sustainable Development Goal 7 (Affordable and Clean Energy) through advancements in electric mobility infrastructure. Research Environment: Active member of the E-Mobility and Drives research group at AAU Energy, collaborating with international partners on cutting-edge projects at the intersection of power electronics, artificial intelligence, and sustainable transportation systems.

• Electric Vehicles
• Battery Management Systems
• Power Electronics
• +۵ مورد دیگر

Luca Vezzaro is an Associate Professor in the Department of Environmental Engineering at the Technical University of Denmark (DTU), where he conducts research on integrated urban water systems, with a focus on water quality and quantity modelling under uncertainty. He is affiliated with the Water Systems research group and contributes to DTU's efforts in sustainable urban infrastructure. Education: PhD in Environmental Engineering, Technical University of Denmark (2007–2011) MSc in Environmental Engineering, University of Padua (2004–2006) BSc in Environmental Engineering, University of Padua (2001–2004) His research centers on the development and application of models for urban drainage systems, real-time monitoring, data validation, and control strategies under uncertainty. Key areas include stormwater management, combined sewer overflows, microplastics transport, and integration of water systems with energy grids. He emphasizes tools for uncertainty quantification and predictive control in wastewater and urban runoff systems. The most recent publications highlight a strong trend toward understanding pollution dynamics in urban runoff, particularly microplastics and particulate matter in stormwater and CSOs. His work increasingly integrates environmental models with energy systems, exploring the role of water resource recovery facilities in power grid stability. Methodologically, he focuses on sensitivity analysis, model structure evaluation, and event-based simulation frameworks. Luca Vezzaro has supervised multiple PhD students on topics related to urban drainage, wastewater treatment control, and digital twins. He has been involved in several funded research projects, including those on stochastic predictive control and sustainable plant-wide operation of water resource recovery facilities. He has held external academic positions, including Visiting Scholar at Universitá Ca' Foscari Venezia (2020–2021) and guest teacher at INSA Lyon (2015). He is active in public engagement, having participated in conferences, workshops, and media discussions on urban water challenges in Denmark.

• Urban Water Systems
• Water Quality Modelling
• Water Quantity Modelling
• +۱۳ مورد دیگر

Martin Skovgaard Andersen is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), where he specializes in Scientific Computing. His research integrates numerical methods, optimization, and machine learning to solve complex computational problems in engineering and data science. Education: Ph.D., University of California, Los Angeles (2006–2011) M.Sc., Aalborg Universitet (2001–2006) Postdoc, Linköping University, Sweden (2011–2012) His research interests include optimization (particularly conic and stochastic programming), numerical algorithms, signal processing, system identification, and fast solvers for integral equations. He works extensively on matrix analysis, regularization, and low-rank approximations, contributing to both theoretical and applied advancements in computational mathematics. The recent publications highlight a strong trend in developing efficient numerical algorithms for large-scale optimization and solving integral equations. His work emphasizes preconditioning, matrix truncation, and Bayesian inversion, with applications in electromagnetics, structural health monitoring, and network identification. There is a consistent focus on improving computational efficiency and scalability of solvers. Scientific Awards: No specific awards mentioned in the provided text. Andersen actively supervises PhD students and leads multiple research projects, including those on non-symmetric conic optimization, data-sparse models, and fast direct solvers. He is the Principal Investigator (PI) on projects related to physics-informed structural health assessment. His collaborative network spans Denmark and international institutions, particularly in computational mathematics and engineering. Labs and Research Teams: He is affiliated with the Scientific Computing section at DTU, which focuses on high-performance computing, numerical algorithms, and mathematical modeling. His work is embedded in a collaborative environment involving researchers in optimization, control theory, and computational electromagnetics.

• Optimization
• Signal Processing
• Machine Learning
• +۱۲ مورد دیگر

Henrik Bruus is a Professor and Section Head in the Department of Physics at the Technical University of Denmark (DTU). He leads the Section of Biophysics and Fluids and the Theoretical Microfluidics Group, focusing on theoretical modeling in microfluidics, acoustofluidics, and nanofluidics. His academic journey began at the Niels Bohr Institute, University of Copenhagen, where he earned his B.Sc., M.Sc., and Ph.D. in physics. He has held research and faculty positions at NORDITA, Yale University, CNRS-CRTBT, and DTU, transitioning from DTU Nanotech to DTU Physics in 2012. He has held visiting professorships at Harvard, MIT, Princeton, and several French institutions. B.Sc. in Mathematics and Physics, University of Copenhagen (1984) M.Sc. in Physics, University of Copenhagen (1986) Ph.D. in Physics, University of Copenhagen (1990) Henrik Bruus's research lies at the intersection of theoretical physics and engineering, with a strong emphasis on microfluidics, acoustofluidics, and biophysics . His work explores acoustic radiation forces, electrokinetics, streaming, and particle manipulation in microsystems. He is renowned for his Acoustofluidics tutorial series published in Lab on a Chip. His research contributes to UN Sustainable Development Goals in energy and innovation. He has published over 248 works, including in Physical Review , Lab on a Chip , and Science Advances . The recent publications highlight a consistent focus on acoustofluidic phenomena , particularly the modeling and control of acoustic streaming, radiation forces, and thermoviscous effects in microchannels. His work bridges theoretical analysis with experimental validation, often involving collaborations across disciplines. Key themes include ultrasound manipulation of particles and cells, optimization of microreactors, and development of novel acoustofluidic devices using thin-film transducers. Scientific Awards: DTU Teacher of the Year (2013) Elected Fellow of the American Physical Society (since 2011) Henrik Bruus actively supervises Ph.D. students and leads multiple research projects in biophysics and microfluidics. He has been the main supervisor or co-supervisor on projects related to plant biophysics, micro- and nanochannel flows, and electroacoustic actuation. His international collaborations span across Europe and the U.S., and he has delivered numerous conference presentations, including at APS meetings and specialized workshops. He is a central figure in the global acoustofluidics research community. He leads the Theoretical Microfluidics Group at DTU Physics, which focuses on computational and analytical modeling of fluid behavior at micro- and nanoscales. The group collaborates closely with experimental teams to develop and validate theoretical frameworks for lab-on-a-chip systems. Their work supports applications in biomedical diagnostics, cell sorting, and material science.

• Theoretical Physics
• Microfluidics
• Nanofluidics
• +۸ مورد دیگر

Professor Zhe Chen is a distinguished academic at Aalborg University's Faculty of Engineering and Science, where he leads research in Electric Power Systems and Microgrids within the Intelligent Energy Systems and Flexible Markets department. With an extensive publication record spanning over two decades and more than 1,200 publications, he has established himself as a leading expert in power engineering and renewable energy systems. Professor Chen's research focuses on Wind Turbine Engineering, Power Engineering, Control Strategy, Wind Power Engineering, Energy Engineering, and Reinforcement Learning. His work bridges theoretical advancements with practical applications in smart grid technology and microgrid systems. His research interests center around developing innovative solutions for renewable energy integration, power system stability, and efficient energy management. His recent publications demonstrate a strong trend toward integrating artificial intelligence with traditional power engineering, particularly in applying deep reinforcement learning to power system control, state estimation with noisy data, and optimization of power electronic converters. His work shows increasing focus on carbon emissions optimization, thermal management in power electronics, and the application of advanced neural network architectures to energy systems. MPCE 2023 Best Paper Award for research on reinforcement learning applications in electric vehicles MPCE 2022 Best Paper Award for distribution network optimization MPCE 2021 Best Paper Award for reinforcement learning in energy systems WATAB Best Paper Award 2005 for offshore wind farm research IEEE Fellow recognition for contributions to power electronics and renewable energy systems Professor Chen has supervised 27 PhD students throughout his career, demonstrating his commitment to academic mentorship. His current research is supported by significant grants including the Erasmus+ funded S3SF project (Smart Energy Solutions for a Sustainable Future) and multiple projects focused on machine learning-based stability analysis for multi-energy systems. His collaborative work spans numerous international partnerships, with recent projects involving researchers from China, Europe, and other global institutions. Professor Chen leads a research team focused on intelligent energy systems, working on advanced control strategies for microgrids, power quality analysis, and the integration of renewable energy sources into existing power infrastructure. His team is particularly known for innovative approaches to wind power integration and DC microgrid technologies.

• Wind Turbine Engineering
• Power Engineering
• Control Strategy
• +۷ مورد دیگر

Amin Hajizadeh is an Associate Professor at Aalborg University (AAU), affiliated with the Esbjerg Energy Section in the Faculty of Engineering and Science . His research focuses on renewable energy systems, DC microgrids, offshore renewable energy integration, and AI-driven energy solutions. He holds a PhD in Electrical Power Engineering (2010). Research Highlights: Developing control strategies for modular multiport DC-DC converters and offshore wind-hydrogen systems Advancing energy management in net-zero buildings and smart city frameworks Pioneering work in AI-based wake steering for wind farm optimization Projects & Awards: Lead investigator in BlueBARGE (€5M EU project on renewable bunkering for anchored ships) Recipient of the 2024 Best Paper Award for work on neural network-based wake steering Key Contributions: Published 140+ papers in journals like IEEE Transactions and Renewable Energy Supervised 6 PhD students and contributed to 19 funded research projects Active in editorial roles (e.g., IET Renewable Power Generation)

• Renewable Energy Systems
• DC Microgrids
• Offshore Renewable Energy
• +۶ مورد دیگر

Tamas Kerekes is an Associate Professor at AAU Energy, part of the Faculty of Engineering and Science at Aalborg University. His work focuses on power electronics, photovoltaic systems, and grid integration. He has extensive teaching experience in MSc courses such as Control of Electrical Drives and Converters, Grid Interactive PV Inverters, and PhD/Industrial courses including Photovoltaic Power Systems and Power Electronics for Renewable Energy Sources. Education: He holds a PhD in Electrical Engineering (Analysis and Modeling of Transformerless Photovoltaic Inverter Systems) from Aalborg University (2005–2008). Research Interests: His expertise spans photovoltaic systems, energy storage, and power electronics for renewable integration. He leads and participates in projects like TilePlus (solar roof tiles), ECoGrif (grid-friendly power converters), and MMC Advanced Control with AI-based Grid Stability Assessment. His work emphasizes condition monitoring, decentralized algorithms, and cost-effective energy management strategies. Projects & Grants: He has been involved in 15+ projects funded by Innovation Fund Denmark, European Commission, and ERASMUS+. Notable contributions include the development of solar tile solutions, hybrid energy storage systems, and grid-friendly converter technologies. Labs/Teams: Leads the TilePlus project team for solar energy collection and collaborates on advanced control systems for microgrids and power converters. His research group focuses on experimental validation and real-world implementation of renewable energy solutions.

• Power Electronics
• Photovoltaic Systems
• Energy Storage Systems
• +۵ مورد دیگر

Anders Schmidt Kristensen is an Associate Professor at Aalborg University's Faculty of Engineering and Science, affiliated with the Esbjerg Energy Section and the Danish Centre for Risk and Safety Management. His work spans mechanical engineering, computational mechanics, and risk analysis, with a focus on structural design optimization and safety systems. Specializes in CAD-integrated structural modeling and finite element method (FEM) simulations Active in offshore energy and space debris mitigation research Key technologies: drag sail systems for satellite deorbiting, wind turbine power quality control, and tube-tubesheet joint modeling Recent research trends include: Structural health monitoring under thermal stress Optimized evacuation protocols for sports venues Advanced numerical modeling techniques for industrial components

• Mechanical Engineering
• Risk Analysis
• CAD
• +۸ مورد دیگر

Dao Zhou is an Associate Professor at Aalborg University's Department of Mechatronic Systems, part of The Faculty of Engineering and Science. His research focuses on power electronics reliability, wind turbine systems, and grid integration of renewable energy. He holds a PhD in Electrical Engineering from Aalborg University (2014), specializing in reliability assessment of wind turbine systems. His key research areas include power converter control strategies, semiconductor reliability, and grid-forming/grid-following inverter technologies. He has led projects such as the Physics-informed AI for Prognostics in Power Converters and the HELP laboratory platform initiative. Zhou has supervised four PhD students and authored over 198 publications, with notable awards including the IEEE ICPE 2023-ECCE Asia and MPCE 2021 Best Paper Award. Recent work emphasizes predictive maintenance via physics-informed neural networks and seamless control transitions between grid modes. His lab collaborations span Europe, focusing on improving renewable energy system reliability and educational lab infrastructure.

• Power Electronics
• Renewable Energy Systems
• Wind Turbine Reliability
• +۴ مورد دیگر

Fan Zhou is a Researcher at Aalborg University's Department of Thermal Engineering within the Faculty of Engineering and Science, specializing in hydrogen and electro-fuels. His work focuses on high-temperature proton exchange membrane (HT-PEM) fuel cells and solid oxide electrolysis systems, with applications in power-to-X and micro combined heat and power (micro-CHP) solutions. He holds a PhD awarded in February 2016 and maintains an active research profile with 27 documented publications. His research interests center on Fuel Cell Technology , Hydrogen and Electro-fuels , and Thermal Engineering , with specific expertise in performance degradation mechanisms, fault diagnosis using electrochemical impedance spectroscopy (EIS) and machine learning, thermal management, and dynamic operation of energy conversion systems. Current investigations address real-time monitoring challenges in residential microgrids and power-to-X applications, examining how operational parameters like temperature, pressure, and gas composition affect system efficiency and durability. Analysis of his 15 most recent publications (2021-2025) reveals a strong emphasis on data-driven approaches for fault detection in fuel cells, dynamic operation effects on electrolysis cells, and integration of clean energy systems. Key trends include the application of convolutional neural networks for online diagnostics, investigation of AC/DC frequency effects in solid oxide electrolysis, and development of control systems for micro-CHP applications using HT-PEM fuel cells. Dr. Zhou currently participates in two major research projects: Robust And Dynamic Electrolysis for Power-to-X (2024-2027), focusing on advanced electrolysis technologies for power-to-X applications, and FC-COGEN (2023-2025), developing micro combined heat and power systems. Both projects are funded by the Energy Technology Development and Demonstration Program (EUDP) and involve collaboration with industry partners and researchers including Søren H. Jensen and Simon L. Sahlin from AAU's Power Electronics and Drives group.

• Fuel Cell Technology
• Hydrogen and Electro-fuels
• Thermal Engineering
• +۳ مورد دیگر

Guangya Yang is an Associate Professor at the Department of Wind and Energy Systems, Technical University of Denmark (DTU), with expertise in power system stability, control, and protection of low-inertia systems, particularly in offshore wind applications. He has worked full-time as an electrical design and simulation specialist at Ørsted (2020-2021) and maintains active roles in IEEE, IEC standardization, and editorial work as lead editor for IEEE Access PES. PhD in Electrical Engineering (University of Queensland, 2008) Senior Member of IEEE Former expert member of European Technology & Innovation Platform for solar PV His research focuses on electromagnetic transient simulation, cyber-physical energy systems, and grid compliance for wind power plants. He leads the Horizon 2020 InnoCyPES project (€12m+ grants), training 15 early-stage researchers in cyber-physical energy systems. Key contributions include validating synchronous condensers for low-inertia systems and developing industry training programs on offshore wind control strategies. Coordinated Hardware-in-the-Loop test bench standards (IEC61400-21-5) Advances in grid-forming converter stability and fault ride-through assessment Developed digital twins for power grid validation Scientific Recognition: World’s Top 2% Scientists (Elsevier/Stanford, 2024) Advising & Grants: Supervises 5 PhD students in projects related to machine learning, digital twins, and predictive maintenance. Coordinates €12m+ in research grants, including Horizon 2020’s InnoCyPES. Labs & Collaborations: Works with Ørsted, industry partners, and international universities on offshore wind validation and digitalization.

• Power System Stability
• Offshore Wind Energy
• Cyber-Physical Power Systems
• +۷ مورد دیگر

Julian Antony Quick is a Researcher at the Department of Wind and Energy Systems within the Technical University of Denmark . His work focuses on wind farm optimization, energy management, and market-driven renewable energy systems. Active research in wind farm control and market integration Specializes in hybrid power plant design and uncertainty quantification Contributes to UN Sustainable Development Goals through wind energy research His research explores advanced optimization techniques for wind resource assessment, turbine design, and revenue maximization in electricity markets. Key areas include: Compressed air energy storage integration Wind farm layout optimization Surrogate-based system modeling Dynamic energy management strategies While not explicitly listed, his collaborative projects suggest active involvement in PhD supervision and industry partnerships across Europe. His recent publications demonstrate a strong focus on translating technical advances into economic benefits through: Market-aware wind farm design Data-driven flow control Hybrid system efficiency improvements SDG-aligned sustainable energy solutions

• Wind Power
• Wind Turbine Engineering
• Compressed Air Motors
• +۳ مورد دیگر

Henrik William Bindner serves as Senior Researcher and Head of Section at the Department of Wind and Energy Systems, Technical University of Denmark (DTU), specializing in distributed energy systems and power grid innovation. His work directly supports UN Sustainable Development Goals through renewable energy integration and grid resilience research. Research Focus: Power Engineering and Distributed Energy Systems form the core of his expertise, with deep specialization in Electric Power Distribution, Smart Grids, and Energy Flexibility. His investigations into consumer behavior during energy crises, industrial flexibility services, and renewable integration address critical challenges in modern power systems. Publication Trends: Recent works (2024-2025) reveal concentrated efforts in grid flexibility mechanisms, including consumer-driven demand response, green hydrogen pathways, and industrial ancillary services. These studies consistently explore market design innovations and uncertainty management in distribution grids transitioning to high renewable penetration. Supervision & Funding: PhD Supervision: Bak, B. S. (Data-driven grid investments), Yousefi, G. (EV flexibility services) Active Projects: ROADNET (Resilient Distribution Networks, 2025-2028), e2flex (Enabling Flexibility, 2023-2026) Consultancy: South African EV infrastructure development (2024) Team Leadership: As Head of Section, he directs DTU's Distributed Energy Systems research group, coordinating cross-institutional collaborations on grid flexibility, renewable integration, and market design. The team maintains active partnerships with European grid operators and industrial energy consumers to validate real-world applications of their frameworks.

• Power Engineering
• Distributed Energy Systems
• Electric Power Distribution
• +۳ مورد دیگر

Fateme Aghaee is a Researcher at the University of Southern Denmark (SDU), affiliated with the Institute of Mechanical and Electrical Engineering . Her work spans multiple domains, including drone control systems and microgrid technology. Role: Researcher and educator Key Collaborations: SDU Mechatronics (CIM) and international researchers Her research focuses on advanced control systems for autonomous systems and power engineering solutions. She has contributed to cooperative drone control and resilient microgrid design through peer-reviewed publications. Recent publication trends highlight her expertise in: Drone Engineering: Cooperative control, slung-load dynamics Microgrid Technology: Distributed control, noise-resilient systems Communication Challenges: Packet loss, latency compensation She received the 1st award in Real-World Challenge on Multi-Robot Systems (2024) , underscoring her impact in cooperative robotics. Her teaching includes Control Engineering 2 , reflecting her technical specialization.

• Drone Engineering
• Control Systems
• Microgrids
• +۴ مورد دیگر