جست‌وجوی استاد و پژوهشگر

Baoze Weiمشاهده پروفایل

دانشیار

• Microgrid Control
• Power Electronics
• Renewable Energy Integration
• +۵ مورد دیگر

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.

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.

Mahshid Javidsharifiمشاهده پروفایل

پژوهشگر

• Energy Microgrids
• Renewable Energy Systems
• Energy Management
• +۵ مورد دیگر

Mahshid Javidsharifi is a Postdoctoral Researcher at Aalborg University's Faculty of Engineering and Science, specializing in the Electric Power Systems and Microgrids department. Her expertise spans energy microgrids, renewable energy systems, and sustainable development. She has contributed to projects like LastWind (Ethiopian wind power integration) and Photovoltaic Energy Supply for Future Energy Neutral Base Stations , focusing on optimizing energy systems and enhancing grid reliability. Javidsharifi holds a Marie Skłodowska–Curie PhD Fellowship and has published extensively on microgrid management, battery degradation effects, and UAV-based energy solutions. Her research interests include: Multi-node microgrid operation under normal/abnormal conditions Integration of photovoltaic systems and battery storage Optimization algorithms for energy efficiency Cybersecurity in energy systems Key projects include leading PAINLESS (autonomous energy systems for infrastructure-less networks) and participating in LastWind , demonstrating her focus on sustainable energy solutions for telecommunications and developing regions. Her work aligns with UN Sustainable Development Goals, particularly clean energy access and environmental sustainability. Publications highlight her contributions to energy management strategies, stochastic optimization, and renewable integration. Awards include the prestigious Marie Skłodowska–Curie Fellowship, underscoring her academic and practical impact in energy research.

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.

Yuan Liمشاهده پروفایل

پژوهشگر ارشد

• Predictive Control
• Power Electronics
• Microgrid
• +۴ مورد دیگر

Yuan Li is a Postdoctoral Researcher at the Applied Power Electronic Systems group within the Faculty of Engineering and Science at Aalborg University, Denmark, working under the supervision of Professor Frede Blaabjerg. Her research focuses on advanced control methodologies for power electronic systems and microgrids. Her primary research interests include: Predictive Control Power Electronics Microgrid Battery Energy Storage Model Predictive Control DC/DC Converters Transients Dr. Li specializes in model predictive control (MPC) applications for DC microgrids and power converters, with recent work emphasizing transient response optimization, prediction horizon design, and integration of neuromorphic computing for grid resilience. Her publications reveal a strong trend toward machine learning-enhanced control systems and hardware-efficient implementations for renewable energy integration. She serves as Principal Investigator for the project "Dynamic Stabilization of DC Microgrids Based on Model Predictive Control of Point-of-Load Converters" (2021-2024), securing significant research funding to develop MPC algorithms for DC microgrid stabilization. Her collaborative network includes prominent researchers like Frede Blaabjerg, Sahoo, and Dragicevic across multiple high-impact publications.

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 .

Nitheesh Rajendranمشاهده پروفایل

پژوهشگر ارشد

• Power Electronics
• Renewable Energy Systems
• Electric Vehicles
• +۳ مورد دیگر

Nitheesh Rajendran is a Postdoctoral Researcher at Aalborg University's Faculty of Engineering and Science, specializing in the Applied Power Electronic Systems department. He holds a Ph.D. in Electrical Engineering from the Indian Institute of Technology Madras (2024), an M.Tech. in Power Electronics from the National Institute of Technology Tiruchirappalli (2017), and a B.Tech. in Electrical and Electronics Engineering from the College of Engineering Thiruvananthapuram (2014). Ph.D.: Indian Institute of Technology Madras (2020–2024) M.Tech.: National Institute of Technology Tiruchirappalli (2015–2017) B.Tech.: College of Engineering Thiruvananthapuram (2010–2014) His research focuses on bidirectional resonant converter topologies for renewable energy, microgrids, and electric vehicle (EV) applications, alongside high-frequency magnetics design and digital control of power converters. Prior to his Ph.D., he accumulated 2.5 years of industrial R&D experience at TDK Corporation (2017–2019). Dr. Rajendran’s work bridges theoretical advancements in power electronics with practical implementations in sustainable energy systems and EV technologies. He contributes to the development of real-time modeling techniques for power electronic converters, aiming to enhance efficiency and scalability in renewable energy integration. Professional Experience: R&D Engineer, TDK Corporation (2017–2019)