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Amin HajizadehView profile

Associate Professor

• Renewable Energy Systems
• DC Microgrids
• Offshore Renewable Energy
• +6 more

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)

Tamas KerekesView profile

Associate Professor

• Power Electronics
• Photovoltaic Systems
• Energy Storage Systems
• +5 more

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.

Fan ZhouView profile

Researcher

• Fuel Cell Technology
• Hydrogen and Electro-fuels
• Thermal Engineering
• +3 more

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.

Guangya YangView profile

Associate Professor

• Power System Stability
• Offshore Wind Energy
• Cyber-Physical Power Systems
• +7 more

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.

Fateme AghaeeView profile

Researcher

• Drone Engineering
• Control Systems
• Microgrids
• +4 more

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.

Rakesh SinhaView profile

Assistant Professor

• Multi-energy Systems
• Renewable Energy Integration
• Power Grid Stability
• +4 more

Rakesh Sinha is an Assistant Professor at Aalborg University's Faculty of Engineering and Science, specializing in the Department of Electric Power Systems and Microgrids. His research focuses on multi-energy systems, power grid stability, demand response, and electric vehicle integration. He has contributed to EU Horizon projects SUSTENANCE and SERENE, addressing sustainable energy communities and grid resilience. His teaching includes courses on Smart Distribution Systems and Stability of Modern Power Systems with renewable energy integration. Research interests include renewable energy integration, grid stability, and demand-side flexibility. He explores solutions for challenges posed by EV adoption in low-voltage grids and thermal energy storage systems. Collaborations span projects funded by the European Commission and Innovation Fund Denmark. Recent publications address EV charging control strategies, flexibility in local energy communities, and grid challenges from high EV penetration. His work emphasizes smart grid technologies and distributed energy resources, with a focus on practical applications in residential and distribution networks. No scientific awards are explicitly mentioned, but his involvement in high-profile EU projects highlights his impactful contributions. He advises MSc students in Energy Engineering and collaborates on initiatives like COPPER (Electricity Grid Resilience) and FLEXDIS (Power System Stability).

Allahyar AkhbariView profile

Lecturer

• Energy
• Power Electronics
• Controls
• +7 more

Allahyar Akhbari is a Lecturer and Research Assistant at Aarhus University's Faculty of Engineering and Science, specializing in Energy Section focusing on Offshore Renewable Energy Systems. He holds a PhD in Electrical Power Engineering from the University of Kashan (2017-2022) and conducted a Guest PhD at Aarhus University (2021-2022). His academic roles include multiple Lecturer positions in MATLAB, Electrical Basics, Power Electronics, and Electrical Machines Laboratories at the University of Kashan (2018-2021). Research Interests: His work centers on energy systems integration, particularly DC microgrids, wind turbine control, and stability analysis of renewable energy systems. He explores artificial intelligence applications in power systems and hybrid energy generation systems combining wind, microturbines, and constant power loads. His research emphasizes real-time control, fault ride-through mechanisms, and efficient power management strategies. Projects: He participates in major initiatives including the BlueBARGE project (EU-funded, 2024-2026) for renewable bunkering solutions and the Wave Energy Converter project (2023-2025) focusing on reliable energy generation. Additional projects include FOSS (floating offshore substations) and Damping System research for semi-submersible wind turbines. Advising & Grants: Though no student advisees are listed, he is actively involved in multiple EU-funded research projects as a project participant. His work aligns with renewable energy transition goals, emphasizing offshore systems and grid stability. Labs & Teams: Collaborates within Aarhus University's Energy Section teams, particularly in offshore renewable energy systems and wave energy converter analysis. Engages with cross-disciplinary groups in power electronics and control systems development.

Sam RoozbehaniView profile

Research Fellow

• Microgrid Engineering
• Inverter Engineering
• Reactive Power Engineering
• +5 more

Sam Roozbehani serves as a Postdoctoral Research Fellow at the Department of Engineering Technology and Didactics Energy Technology and Computer Science, Technical University of Denmark (DTU), Ballerup campus. His research in power systems engineering directly supports UN Sustainable Development Goals for affordable and clean energy, with expertise spanning microgrid stability, inverter control, and advanced power system protection mechanisms. His primary research domains include Microgrid Engineering, Inverter Engineering, and Reactive Power Engineering, with specialized focus on fault ride-through coordination, grid-forming/grid-following inverter architectures, and advanced control techniques like fractional-order sliding mode control. Current investigations address critical challenges in renewable integration resilience, particularly voltage stability during grid faults and optimal control of hybrid photovoltaic-battery systems in microgrids. Analysis of his 2025 publications reveals concentrated efforts on real-time solutions for inverter-based microgrid stability, with significant contributions to fault management protocols and frequency regulation in industrial energy clusters. His work demonstrates consistent emphasis on practical implementations of control algorithms for wind turbine systems and eco-industrial applications. Dr. Roozbehani actively contributes to two major research initiatives: Electric weed control in seed crops - Developing electrical methods for sustainable agricultural weed management GRACE project - Creating grid capacity-aware investment frameworks for eco-industrial clusters to optimize sector coupling and renewable integration These projects involve cross-disciplinary collaboration with DTU researchers in energy systems and environmental engineering, targeting near-term industrial implementation.

Saeed GolestanView profile

Associate Professor

• Microgrids
• Power Systems
• Renewable Energy
• +5 more

Saeed Golestan is an Associate Professor at Aalborg University's Faculty of Engineering and Science, specializing in the Electric Power Systems and Microgrids department. He focuses on advanced control strategies for power systems, microgrid stability, and renewable energy integration. His work includes projects like InnoWindFaultRiForm (EU-funded, 2025–2027) addressing fault ride-through solutions in wind power plants, and REMCE (2021–2024) developing renewable energy minigrids in Ethiopia. Key research interests include phase-locked loops, grid-forming control, and AI-driven energy management. He has authored over 120 publications, with recent work exploring quantum computing for load forecasting and neural networks for microgrid optimization. His projects emphasize practical applications in sustainable energy systems and electric vehicle infrastructure. PhD supervision: 1 advisee (details unspecified). Grants: Multiple EU and industry-funded projects totaling €[unknown] in research support. Labs/Teams: Active in interdisciplinary teams at AAU Energy, collaborating with institutions globally on smart grid and renewable energy initiatives.

Yushuai LiView profile

Assistant Professor

• Digital Twin
• Energy Internet
• Reinforcement Learning
• +7 more

Yushuai Li is an Assistant Professor in the Department of Computer Science at Aalborg University. His research focuses on digital twin technologies, energy internet systems, distributed optimization, and cyber-physical security for energy networks. Institution: Aalborg University, Denmark Academic Rank: Assistant Professor Email: yushuaili@ieee.org, yusli@cs.aau.dk Research Interests: Li's work bridges artificial intelligence with energy systems, emphasizing: Digital Twin for Energy and Transportation Integration Reinforcement Learning in Power Trading Distributed Control for Microgrids Privacy-Preserving Energy Dispatch Autonomous Driving-Energy System Coupling Scientific Contributions: His recent publications address critical challenges in energy internet resilience, including: Distributed control under stealthy attacks Noise-resilient microgrid operations Multi-timescale optimization algorithms Event-triggered control strategies Secure peer-to-peer energy trading Honors & Awards: Recipient of multiple prestigious awards, including: Best Paper Awards (MPCE, ICCSIE, IEEE EI2) Excellent Young Expert Award (MPCE, 2023) National Natural Science Prizes (CAA 2022-2023) Highly Cited Papers (8 ESI Highly Cited, 2 ESI Hot Papers) H-index 24 with 2500+ Google Scholar Citations Academic Leadership: Serves as Associate Editor for four IEEE journals and chairs sessions at leading conferences like IEEE SmartGridComm, ISIE, and IEEE EI2. His 70+ publications span top venues including IEEE Transactions on Cybernetics, Smart Grid, and ACM SIGMOD.

Ashraf Fathi Khalil SulaymanView profile

Associate Professor

• Renewable Energy Systems
• Power System Operation and Control
• Artificial Intelligence in Energy
• +3 more

Ashraf Fathi Khalil Sulayman is an Associate Professor at the Department of Engineering Technology and Didactics Energy Technology and Computer Science, DTU Engineering Technology, Technical University of Denmark (DTU). He holds a PhD from the University of Birmingham (2012), and BSc/MSc degrees from the University of Benghazi, Libya (2000/2006). Previously, he served as Head of the Electrical Engineering Department at the University of Benghazi (2012–2015) and was an Assistant Professor at Universiti Teknologi Brunei (2018–2021). His research focuses on renewable energy systems, microgrid optimization, and AI-driven power system control. Key areas include time delay systems, PV integration, and machine learning applications in grid management. His work aligns with UN Sustainable Development Goals, particularly energy sustainability and climate action. Education: PhD, University of Birmingham, UK (2012) MSc, University of Benghazi, Libya (2006) BSc, University of Benghazi, Libya (2000) Research Interests: His interdisciplinary work bridges electrical engineering and sustainable energy, emphasizing: - Renewable energy systems integration - Smart grid technologies - AI/ML for power system control - Microgrid stability and optimization - Photovoltaic system performance analysis Recent Research Trends (2025): Publications highlight advancements in hybrid microgrid control using neural networks, DC microgrid communication protocols, and multi-objective optimization for inverters. Studies also analyze PV impact on distribution networks and model Morocco's future energy landscape, emphasizing renewable dominance and carbon reduction strategies. Advising & Grants: No specific grants or student advisees explicitly listed in the provided text. Labs/Teams: Not explicitly mentioned in the text.

Yousef KhayatView profile

Research Fellow

• Microgrid Systems
• Autonomous Microgrid Control
• Virtual Synchronous Generator Technology
• +4 more

Yousef Khayat is a Marie Curie Postdoctoral Research Fellow at Aalborg University's Faculty of Engineering and Science within the Electric Power Systems and Microgrids department. His work focuses on advanced control strategies for renewable energy integration in modern power systems. His research spans Microgrid Systems , Virtual Synchronous Generator Technology , and Adaptive Control Systems , with particular emphasis on stability enhancement during grid faults and seamless renewable integration. Current investigations address inertia response improvement and fault ride-through solutions for wind power plants. Analysis of his publication record reveals strong specialization in AC microgrid control architectures (71% of works), fault management in weak grids (43%), and virtual synchronous machine implementations (29%). His research demonstrates significant impact with multiple publications exceeding 100 Scopus citations. Scientific Recognition: Marie Curie Postdoctoral Fellowship Dr. Khayat actively contributes to major research initiatives including the InnoWindFaultRiForm project (2025-2027) investigating grid-forming control solutions for wind power plants. His collaborative network spans six international institutions focused on microgrid innovation and power system resilience.

Yajuan GuanView profile

Associate Professor

• Power Electronics
• Microgrids
• Renewable Energy Integration
• +4 more

Yajuan Guan is an Associate Professor at Aalborg University's Faculty of Engineering and Science, specializing in Electric Power Systems and Microgrids. Her research focuses on advanced control strategies for renewable energy systems and grid-forming inverters. Education: PhD in Electrical Engineering (2016), Aalborg University, thesis: "Novel Control Strategies for Parallel-Connected Inverters in AC Microgrids" Research Interests: Microgrid stability and control Grid-forming wind power plants Smart grid technologies Renewable energy integration Power quality improvement Cyber-physical energy systems Article Trends: Recent publications emphasize large-scale wind power plant dynamics, fractional-order control for grid-forming converters, resilience in microgrid systems under climate crises, and thermal optimization for energy storage. Professional Activities: Conference speaker at Mission Innovation - Green Energy Community Webinar (2021) Chair of IEEE ECCE ASIA 2020 Special Session Editorial work for "IoT and Energy Internet" special issue (2018-2019)

Arman OshnoeiView profile

Assistant Professor

• Power Engineering
• Renewable Energy Integration
• Battery Management Systems
• +3 more

Arman Oshnoei is an Assistant Professor at Aalborg University, affiliated with the Faculty of Engineering and Science's Department of Power Electronics System Integration and Materials. His research focuses on renewable energy integration, battery management systems, and AI-driven solutions for smart grids. He leads and participates in high-impact projects like CROSBAT (2023-2026) and BMS-DC (2024), addressing challenges in battery safety, energy efficiency, and data center optimization. Education: Advanced degree in Power Engineering (details not specified). His research interests span power electronics, cybersecurity in energy systems, and predictive control models. Recent work includes optimizing green hydrogen production using AI and enhancing battery lifespan through advanced state-of-charge estimation. He has authored over 78 publications, including a 2025 best paper award for battery balancing techniques. Key Projects: - CROSBAT: AI-based battery lifetime optimization (2023-2026) - BMS-DC: Next-gen battery management for data centers (2024) - REPEPS: Reliable power electronic systems (2021-2023) Dr. Oshnoei also serves as a reviewer for IEEE Transactions on Sustainable Energy and holds grants totaling over €2M in research funding.

Baoze WeiView profile

Associate Professor

• Microgrid Control
• Power Electronics
• Renewable Energy Integration
• +5 more

Baoze Wei is an Associate Professor at Aalborg University's Department of Electric Power Systems and Microgrids, part of the Faculty of Engineering and Science. His research focuses on advanced control strategies for power electronics, microgrid stability, and energy management systems. He leads and collaborates on projects such as the Digital Twin-based Reliability Framework for Aviation Systems and Holistic Optimization of Green Fuel-Powered Microgrids. Key contributions include work on distributed energy systems, fault-tolerant architectures, and predictive maintenance for power electronics. His research emphasizes practical applications in renewable integration, smart grids, and industrial electrification. Wei has supervised one PhD student, Q. He, and contributed to projects funded by entities like Horizon JU and Huawei. Notable collaborations include work on hybrid-electric aircraft systems (HECATE) and advanced control algorithms for distributed converters. His research spans technical areas such as voltage source inverters, uninterruptible power systems (UPS), and DC shipboard microgrids. His publications reflect expertise in model predictive control, energy trading strategies, and condition monitoring. Current research trends include data-driven lifetime prediction for power electronics components and optimization of multi-energy systems. He actively participates in international conferences, contributing to both theoretical advancements and real-world system implementations.