جستجوی استاد راهنمای دانشگاهی

Cedomir Stefanovicمشاهده پروفایل

استاد

• Wireless Communication
• 5G/6G Networks
• Internet of Things (IoT)
• +۷ مورد دیگر

Cedomir Stefanovic is a Professor in the Department of Electronic Systems at Aalborg University's Technical Faculty of IT and Design. His research focuses on edge computing, wireless networking, 5G/6G technologies, IoT, smart grids, and bionic limbs. He leads projects like CLIMB (Cloud-connected bionic limbs) and 5G-connected assistive robots, emphasizing assistive robotics and medical technology integration. His work spans random access protocols, latency optimization, and energy-efficient communication systems. With 129 publications (2025: 12; 2024: 8; 2023: 12), his research addresses challenges in industrial IoT, smart grids, and UAV-assisted communication. He has supervised 3 PhD students and actively collaborates internationally. Notable contributions include advancements in deterministic multiple access patterns, AoI-aware scheduling, and bionic limb connectivity. His research is published in IEEE journals and conferences. He hosts guest lecturers and has been featured in media discussions on wireless innovation and smart energy systems. Education: While specific academic credentials are not detailed, his role as a Professor at Aalborg University indicates advanced degrees in electrical engineering or computer science. Research Interests: 5G/6G and IoT networking Edge computing and latency-critical systems Wireless communication protocols (e.g., tree algorithms, NOMA) Smart grid optimization and microgrids Bionic limbs and assistive robotics Age of Information (AoI) minimization strategies Publications: Over 129 papers (2025:12; 2024:8; 2023:12), emphasizing trends in 5G-enabled prosthetics, deterministic access patterns, and industrial IoT optimization. Recent work explores UAV-assisted sensing, D2D communication for smart grids, and deep learning for industrial systems. Funding & Projects: CLIMB (2022–): PI for cloud-connected bionic limbs WindMill (2019–): Machine learning for windmill communication INCOMING (2020–2022): Massive-scale communication innovation Labs/Teams: Edge Computing and Networking group, Classique-Center for Classical Communication in the Quantum Era.

Mohammad Sadegh Golsorkhiمشاهده پروفایل

دانشیار

• Power Electronics
• Microgrid
• Distributed Energy Resources
• +۴ مورد دیگر

Mohammad Sadegh Golsorkhi is an Associate Professor at the Centre for Industrial Electronics within the Institute of Mechanical and Electrical Engineering at the University of Southern Denmark. His work focuses on power electronics, microgrid control, and converter design. Research Interests: Specializes in power electronics, microgrid control, and harmonic compensation. His research explores hybrid AC/DC microgrids, predictive control systems, and wide bandgap devices. Recent Publications: His 2024–2025 work includes AI-driven microgrid optimization, parasitic modeling in SiC converters, and harmonic compensation strategies. Scientific Awards: World's Top 2% Scientists 2023 (Stanford University) ABB research poster award (2014) International Research Postgraduate Scholarship (2013) Australian Postgraduate Award (2013) Projects: Leads EU-funded initiatives like OptiDCG4H2 and CUHIED, focusing on decentralized control of offshore DC grids, hydrogen production, and ultra-high efficiency drives.

Mohammed Ali Khanمشاهده پروفایل

استادیار

• Renewable Energy
• Power Electronics
• Machine Learning
• +۵ مورد دیگر

Mohammed Ali Khan is an Assistant Professor at the Centre for Industrial Electronics, University of Southern Denmark, specializing in Power Electronics and Renewable Energy systems. His research aligns with the European Green Deal’s climate neutrality goals, focusing on AI-driven grid optimization, fault diagnostics, and EV charging infrastructure resilience. Ph.D. in Power Electronics, Jamia Millia Islamia (2021) M.Tech in Power Systems, Amity University (2016) B.Tech in Electrical and Electronics Engineering, Karunya Institute (2013) His research interests span Renewable Energy Transition, Power Electronics Converters, AI/ML for Grid Stability, and Fault Detection in Photovoltaic Systems. Key scientific contributions include 6 major awards, such as the World’s Top 2% Scientists in Energy (2024) and Otto Mønsteds Fond conference grants. His recent publications emphasize AI sustainability, digital twins for grid harmonics, and EV charging reliability. He has supervised projects on electrolyzer converters, microgrids, and hydrogen integration, and delivered guest lectures on AI applications in Power Electronics. World's Top 2% Scientists in Energy (2024, 2023) Otto Mønsteds Fond - Conference Participation Abroad (2024, 2023) Excellent Oral Presentation Winner (2022) As a supervisor , he has guided students in EV converter design, drone-based mapping, and electronics projects. His projects include PowerGridOptimiser (2024–2027) and ComElCo (2022–2025). Collaborations extend to institutions like Jamia Millia Islamia and University of Technology, Brno.

Faheem Ahmadمشاهده پروفایل

پژوهشگر ارشد

• Power Electronics
• Industrial Heating
• Wide Bandgap Semiconductors
• +۳ مورد دیگر

Faheem Ahmad is a Research Fellow at AAU Energy, Aalborg University, specializing in power electronics and industrial heating applications. He holds a PhD in Power Electronics from Aalborg University (2023), an M.Sc. in Energy Engineering (2020), and a B.Sc. in Electrical Engineering (2014) from Delhi Technological University. His research focuses on high-frequency converter topologies, resonant converters, and wide bandgap semiconductors, particularly for industrial heating systems. He has contributed to projects like GreenHeat (2023–2026) and RFheat (2020–2021), addressing energy-efficient RF generators and curing technologies. Education: PhD in Power Electronics, Aalborg University (2021–2023) M.Sc. in Energy Engineering, Aalborg University (2018–2020) B.Sc. in Electrical Engineering, Delhi Technological University (2010–2014) Research Interests: His work emphasizes advancing power electronics for industrial applications, including high-frequency converters and semiconductor integration in dielectric heating systems. He explores RF-based solutions for energy efficiency and modernizing industrial heating processes. Projects: GreenHeat : Developing energy-efficient RF generators for industrial heating (Innovation Fund Denmark, 2023–2026). CoDE : Center for Digitalized Electronics (Poul Due Jensen Foundation, 2021–2026). Transistorization of Industrial Dielectric Heating Plants : PhD project focusing on semiconductor-based heating systems (2021–2023). Impacts: His work on modular power converters has yielded economic impacts through improved industrial heating systems. He has presented at events like the PDJF Grundfos Prize Expo (2022–2023).

Babak Arbab Zavarمشاهده پروفایل

پژوهشگر

• Microgrid Engineering
• Communication Architecture
• Energy Storage Systems
• +۵ مورد دیگر

Babak Arbab Zavar is a Postdoctoral Researcher at Aalborg University's Faculty of Engineering and Science, specializing in the Electric Power Systems and Microgrids department. Based at Pontoppidanstraede 111 in Aalborg East, Denmark, he focuses on communication architectures, control systems, and energy management within microgrid applications. Dr. Arbab Zavar's research interests span multiple critical areas in modern power systems: Microgrid Communication Architectures and Network Design Smart Inverter Technologies for Grid Integration Energy Storage Systems and Frequency Regulation Internet of Things (IoT) Applications in Power Systems Machine-to-Machine Communication for Microgrid Control Deep Learning Techniques for Communication Failure Mitigation Rural Electrification and Cost-effective Microgrid Solutions His publication record demonstrates a clear progression from foundational work on communication protocols to increasingly sophisticated systems integrating AI and advanced control strategies. Recent work shows a strong emphasis on practical implementation challenges, particularly in rural and widespread microgrid deployments where communication infrastructure presents significant constraints. His research bridges theoretical control systems with real-world engineering constraints, focusing on cost-effective and reliable solutions. Dr. Arbab Zavar is actively involved in significant research projects: EU-DREAM : Effective Uptake of Digital Services to Repower European Consumers and Communities as Active Participants in Energy Transition and Markets (2024-2027) NEST : National Research Infrastructure Roadmap (2024-2026) Energy Management Systems based on Internet of Things/Energy Internet for Smart Homes (2018-2021, completed) His work contributes significantly to the evolving field of smart grid technologies, with particular relevance to the European energy transition and the integration of renewable energy resources at the distribution level.

Josep M. Guerreroمشاهده پروفایل

استاد

• Microgrid Engineering
• Control Strategy
• Renewable Energy Systems
• +۳ مورد دیگر

Josep M. Guerrero is a Professor at the Faculty of Engineering and Science, Aalborg University, specializing in Electric Power Systems and Microgrids. He holds advanced degrees in Electronic Engineering, Psychobiology, and Cognitive Neuroscience, and is a Villum Investigator with the Villum Foundation since 2019. His research focuses on microgrid control strategies, renewable energy integration, and power electronics for sustainable energy systems. Education: M.Sc. in Electronic Engineering, Ph.D., M.Sc. in Psychobiology and Cognitive Neuroscience Current Roles: Project Participant (NEST), Supervisor (4 PhD projects), Member of National Committee for Research Infrastructure (NUFI) Research interests span microgrid engineering, control strategies, and energy systems. His recent work includes decentralized control for shipboard power systems, fractional-order regulators for grid-forming converters, and hybrid energy storage optimization for seaports. Publications emphasize agricultural microgrids, cascaded converter synchronization, and sustainable heavy microgrids. Scientific awards include: CSEE Journal of Power and Energy Systems Excellent Paper Award (2024) IEEE Modeling and Control Technical Achievement Award (2023) IEEE PES Douglas M. Staszesky Distribution Automation Award (2022) IEEE Bimal Bose Award for Industrial Electronics Applications (2021) Best Paper Award (2021) He has supervised 39 PhD students and leads 8 ongoing projects, including NEST (National Research Infrastructure Roadmap) and LastWind (Ethiopian wind integration). Media coverage highlights his global recognition as a leading researcher in electrical engineering and contributions to sustainable energy solutions.

Wenfa Kangمشاهده پروفایل

پژوهشگر

• Microgrids
• Power Systems
• Renewable Energy Integration
• +۳ مورد دیگر

Wenfa Kang is a Postdoctoral Researcher at Aalborg University's Faculty of Engineering and Science, working within the Electric Power Systems and Microgrids research group. His research focuses on advanced control strategies for power systems, particularly in the areas of microgrids, grid-forming converters, and renewable energy integration. Dr. Kang's research interests span several critical areas in modern power systems, with emphasis on microgrid operation and planning , grid-forming converter control , fractional-order control systems , energy storage integration , and power system resilience . His work addresses challenges in renewable energy integration, particularly focusing on maintaining stability in systems with high penetration of inverter-based resources. His recent publications (2023-2025) demonstrate a clear research trajectory focusing on advanced control strategies for grid-forming converters, microgrid planning considering natural disasters, and condition monitoring of power electronic components. A significant portion of his work involves fractional-order control techniques for improving power system stability, with multiple publications in IEEE Transactions on Industrial Electronics. His research also extends to practical applications in Indonesia and Ethiopia, showing international collaboration and real-world impact. Dr. Kang is actively involved in the LastWind project (2023-2026), which focuses on Large-Scale Integration of Wind Power Generation in Ethiopia, demonstrating his commitment to addressing energy challenges in developing regions. His work bridges theoretical control concepts with practical power system applications, particularly in contexts where grid stability is challenged by high renewable penetration.

Simon Lennart Sahlinمشاهده پروفایل

دانشیار

• Advanced Biofuels
• Hydrogen and Electro-fuels
• Offshore Drones and Robotics
• +۴ مورد دیگر

Simon Lennart Sahlin is an Associate Professor at Aalborg University's Faculty of Engineering and Science, Department of Thermal Engineering. His research focuses on advanced biofuels, hydrogen and electro-fuels, offshore drones/robotics, and sustainable energy systems. He leads and participates in major projects such as NEST (National Research Infrastructure Roadmap), FC-COGEN (Micro-CHP integration), and BlueDolphin (waste heat utilization in fuel cells). His work addresses energy transition challenges through innovations in fuel cell systems, energy storage, and renewable integration. Sahlin has authored/co-authored over 40 publications and secured significant research funding from EUDP, Innovation Fund Denmark, and others. He collaborates with industry partners and academic teams on cutting-edge technologies like high-temperature PEM fuel cells and SOE-based energy storage systems. Education : Not explicitly stated in provided texts. Research Interests : Fuel cell diagnostics, renewable energy systems, electrochemical processes, and sustainable infrastructure. Recent publications emphasize data-driven fault diagnosis in fuel cells, microgrid control systems, and high-pressure electrolysis performance. Media coverage highlights his contributions to green hydrogen solutions and energy-efficient technologies. Sahlin advises two PhD students and actively engages in interdisciplinary research initiatives.

Juan C Vasquezمشاهده پروفایل

استاد

• Microgrids
• Renewable Energy Systems
• Power Electronics
• +۶ مورد دیگر

Professor Juan C Vasquez is a faculty member at Aalborg University's Department of Energy Technology, serving as Co-Director of the Center for Research on Microgrids (CROM). Recognized as a Highly Cited Researcher (2017-2023), his work spans technical and interdisciplinary domains in energy systems, with a focus on microgrids, renewable integration, and cybersecurity. His research includes smart grid control, power electronics reliability, and AI-driven energy management systems. He also explores computational creativity in electroacoustic music, evidenced by performances at ISEA 2025 and ACMC 2024. Key subtopics involve fault diagnosis, EV infrastructure, and resilience analysis for disaster-struck communities. Scientific accolades include a First Prize at the 'Città di Barletta' competition. His publications bridge energy technology and digital arts, reflecting a unique interdisciplinary approach to sustainable energy systems and computational sound design.

Ning Wangمشاهده پروفایل

پژوهشگر

• Control Strategy Engineering
• Parameter Design Engineering
• DC Microgrid Engineering
• +۴ مورد دیگر

Ning Wang is a Postdoctoral Researcher at Aalborg University's Faculty of Engineering and Science, working within the Applied Power Electronic Systems department at AAU Energy. Wang serves as Principal Investigator for the PhD project 'Advanced optimized and control strategy of DCDC converter in Renewable DC microgrid' (2021-2024) under the supervision of Chen Z. Wang's research focuses on advanced control strategies for power electronic systems, particularly in DC microgrid applications. Key research areas include parameter design methods for DAB converters, DC-bias current suppression strategies, and operation schemes for retired batteries in secondary usage scenarios. The research employs artificial intelligence techniques including ANN and PSO optimization to address challenges in power converter design and control. Analysis of Wang's recent publications reveals a strong emphasis on practical applications of power electronics in renewable energy systems, with particular attention to DC microgrids, electric vehicles, and power semiconductor device monitoring. The work demonstrates integration of machine learning approaches with traditional power electronics design to solve complex engineering problems in renewable energy integration. As Principal Investigator on a significant PhD project related to DC-DC converters in renewable DC microgrids, Wang directs research activities in this specialized domain, collaborating with multiple researchers including Wang Y., Jiang Y., and Chen Z. The project addresses optimization strategies and control methodologies for power electronic systems in renewable energy applications.

Aysegül Kahramanمشاهده پروفایل

پژوهشگر ارشد

• Wind Power
• Microgrids
• Reinforcement Learning
• +۵ مورد دیگر

Aysegül Kahraman serves as a Postdoctoral Researcher (Research Fellow) at the Department of Wind and Energy Systems, Technical University of Denmark (DTU), with active projects running through 2028. Her work directly contributes to UN Sustainable Development Goals in renewable energy and climate action through advanced energy systems research. Her research expertise spans Wind Power integration , Microgrid optimization , and Machine Learning applications for energy systems. She specializes in deploying Reinforcement Learning and Deep Learning techniques to solve critical challenges in load forecasting, home energy management, and multi-energy system operations under uncertainty, with particular focus on transactive control frameworks and EV scheduling. Analysis of her 2022-2024 publications reveals a strong trend toward AI-driven solutions for renewable energy integration , with consistent emphasis on real-world implementation in microgrids and distribution systems. Her work demonstrates increasing sophistication in handling system constraints while optimizing energy flexibility across multiple domains. As academic supervision, she currently serves as supervisor for PhD candidate Sundhu, A. A. in the Real-Time Digital Twin for Active Distribution Networks project, building on her own recently completed PhD research at DTU.

Yi Zongمشاهده پروفایل

پژوهشگر

• Power-to-X
• Wind Power
• Energy Storage
• +۵ مورد دیگر

Dr. Yi Zong is a Senior Researcher at the Department of Wind and Energy Systems, Technical University of Denmark (DTU), specializing in renewable energy integration, power-to-X technologies, and demand response systems. His work bridges theoretical control strategies with practical applications in wind-dominated energy systems. Current Projects: DTWO (Digital Twins for Offshore Wind), P2X-Risø (Energy Harvesting), and ECoClay (Electric Calcination of Clay) Research interests include: Power-to-Hydrogen systems and alkaline electrolyzer optimization Model Predictive Control for microgrids and thermal energy storage Demand response in industrial processes (cement industry) and smart buildings Dynamic modeling of reversible solid oxide cells and hybrid energy storage Recent publications focus on: Advanced control algorithms (decentralized event-triggered, adaptive) Techno-economic analysis of hydrogen and industrial electrification Integration of wind and solar with energy storage systems Flexibility quantification in multi-carrier energy systems Active collaborations span European research institutions and industry partners, emphasizing cross-sectoral energy system integration.

Vincenzo Lisoمشاهده پروفایل

دانشیار

• Fuel Cell Technology
• Renewable Energy Systems
• Hydrogen and Electro-Fuels
• +۳ مورد دیگر

Vincenzo Liso is an Associate Professor at Aalborg University, affiliated with AAU Energy and the Department of Thermal Engineering within the Faculty of Engineering and Science. He holds a PhD in fuel cell systems and an MSc in Environmental Engineering. His research focuses on advancing sustainable energy technologies, particularly in fuel cell systems, hydrogen production, carbon capture, and renewable energy integration. He leads and supervises numerous PhD projects addressing challenges in electro-fuels, green ammonia, and cryogenic CO2 capture technologies. Key research interests include Proton-Exchange Membrane Fuel Cells (PEMFC), Solid Oxide Fuel Cells (SOFC), and high-temperature PEM electrolyzers. His work contributes to the UN Sustainable Development Goals, emphasizing affordable and clean energy (SDG 7) and climate action (SDG 13). He collaborates on projects such as the ‘Degradation Modeling of Electrolyzers’ and ‘Green Methanol from Biogas’ , demonstrating expertise in both fundamental science and applied engineering solutions. Notable contributions include innovations in fault detection for HT-PEMFCs using AI, cryogenic CO2 capture for cement plants, and optimizing microgrid energy management systems. His research bridges academia and industry, with practical applications in hydrogen storage, ammonia synthesis, and decarbonization strategies. He is actively involved in interdisciplinary collaborations, including the HyFC Academy, and has published extensively in top journals like Applied Energy and International Journal of Hydrogen Energy .

Sebastien Nicolas Grosمشاهده پروفایل

استاد

• Model Predictive Control (MPC)
• Reinforcement Learning
• Stochastic Optimal Control
• +۵ مورد دیگر

Prof. Sebastien Nicolas Gros is a Full Professor and Head of the Department of Cybernetics at NTNU (Norway). He holds a PhD from EPFL (2007) and has held positions at Strathclyde University, KU Leuven, and Chalmers University of Technology. His research focuses on Model Predictive Control (MPC), Reinforcement Learning, Stochastic Optimal Control, and their applications in energy systems, autonomous systems, and bioengineering. Education: PhD in Control Systems, EPFL, Switzerland (2007) Postdoc at KU Leuven (2011-2013) Associate Professor at Chalmers University (2013-2017) Research Interests: Safe Reinforcement Learning, Data-Driven MPC, Energy Management in Buildings, Wave Energy Conversion, Artificial Pancreas Systems. His work is applied to industries like Equinor, DNV, and CorPower Ocean. Collaborations: Co-supervises PhD projects on Multi-Rotor Wind Turbine Control and Artificial Pancreas Industry partnerships with Volvo, SINTEF, and Pixii Labs: ITK Smart House, Hydroponics Units, Wave Energy Testbeds Grants & Projects: MAIDOM project for smart home energy management AWEbox framework for Airborne Wind Energy National and industrial grants for control systems research

• Microgrids
• Photovoltaic Systems
• Power Electronics
• +۸ مورد دیگر

Abderezak Lashab is an Assistant Professor at Aalborg University's Department of Electric Power Systems and Microgrids within the Faculty of Engineering and Science. He specializes in microgrid technologies, photovoltaic systems, and power electronics. His research focuses on enhancing the stability, efficiency, and resilience of energy systems, particularly in renewable energy integration, smart grids, and electric vehicle infrastructure. Key projects include the HECATE initiative exploring hybrid electric regional aircraft distribution technologies. Affiliations: AAU Energy, Microgrids Research Group Research Interests: Microgrid control strategies, photovoltaic system optimization, battery storage solutions, and cybersecurity in energy networks. His work emphasizes practical applications such as disaster-resilient mobile microgrids and EV charging infrastructure sustainability. Publications (82+): Focus on advanced control algorithms, power electronics, and renewable energy systems. Recent trends highlight grid stability under high PV penetration and smart grid resilience. Grants: HECATE project (2023-2025) funded by Horizon JU Innovation Action Labs/Teams: Active contributor to AAU's energy research groups, collaborating on projects involving hybrid electric systems and IoT-enabled cybersecurity.