Find Academic Supervisors

• Control Systems Engineering
• Biomedical Engineering
• Aerospace Engineering
• +3 more

Professor Paul Stewart is affiliated with the University of Derby's College of Science and Engineering, specializing in Control and Systems Engineering. His research focuses on biomedical monitoring systems, nuclear reactor optimization, airport operations, and aerospace propulsion. Notable projects include developing real-time blood pressure estimation systems for dialysis patients and advancing modular nuclear reactor designs using genetic algorithms. He collaborates across disciplines, addressing challenges in energy efficiency, control systems, and transportation logistics. His work integrates advanced algorithms and engineering principles to solve complex problems in healthcare, aerospace, and sustainable energy. Research interests span hemodialysis monitoring technologies, genetic algorithm applications in modular systems, and multi-objective optimization for airport ground movements. His contributions also include pioneering studies on solar-powered high-altitude aircraft and energy-efficient electric propulsion systems. Despite no explicitly listed awards or grants, his prolific publications reflect sustained academic and industrial engagement. Key collaborations involve institutions like the University of Derby and international teams in nephrology, aerospace, and transportation engineering fields. While no labs or formal research teams are named, his work indicates involvement in interdisciplinary research networks focused on practical engineering solutions with societal impact.

• Power Electronics
• Microgrids
• Wide Bandgap Devices
• +5 more

Leon M. Tolbert is a Chancellor’s Professor and Min H. Kao Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. He holds a PhD in Electrical Engineering from Georgia Tech and has been with the university since 1999. His research focuses on power electronics, microgrids, wide bandgap devices, and renewable energy integration. He is a Fellow of the IEEE and has led initiatives like CURENT, an NSF/DOE Engineering Research Center. Education: BSEE (1989), MSEE (1991), PhD (1999), all from Georgia Tech. Professional roles include former Department Head (2013–2018) and adjunct researcher at Oak Ridge National Laboratory. Research interests span power electronics applications, multilevel converters, electric vehicles, and grid modernization. His work has led to innovations in SiC device utilization and grid stability solutions. Awards include the NSF CAREER Award and multiple university recognitions for teaching and research. Key contributions include over 200 publications, patents on power converter designs, and leadership in IEEE technical committees. His lab develops hardware-in-the-loop systems to emulate grid dynamics and test inverter-based resources.

Fang LuoView profile

Associate Professor

• Power Electronic Converters and Systems
• Power Module Packaging
• EMI Modeling and Mitigation

Fang Luo is the Empire Innovation Associate Professor and Director of the Spellman High Voltage Power Electronics Laboratory at Stony Brook University's Department of Electrical and Computer Engineering. He is affiliated with the College of Engineering and Applied Sciences, focusing on advancing power electronics technologies. His research interests encompass Power Electronic Converters and Systems, Power Module Packaging, and EMI Modeling and Mitigation. These areas address challenges in high-voltage systems, renewable energy integration, and electromagnetic compatibility. Dr. Luo's work emphasizes practical applications, such as optimizing power converters for offshore wind farms and developing advanced packaging solutions for wide bandgap (WBG) semiconductors. His laboratory, the Spellman High Voltage Power Electronics Lab, drives innovation in high-voltage systems and energy-efficient power electronics. His recent publications highlight advancements in HVDC wind energy systems, GaN-based converter designs, and EMI mitigation strategies. He has contributed to the design of modular power converters and cryogenic power electronics for electric aircraft propulsion. As a leader in his field, Dr. Luo's research bridges theoretical modeling and practical engineering solutions, with a focus on sustainable energy systems and cutting-edge semiconductor technologies.

Sheldon WilliamsonView profile

Professor

• Electric Energy Storage Systems
• Power Electronics
• Transportation Electrification
• +4 more

Dr. Sheldon Williamson is a Professor and NSERC Canada Research Chair in Electric Energy Storage Systems for Transportation Electrification at Ontario Tech University's Department of Electrical, Computer and Software Engineering, Faculty of Engineering and Applied Science. His research focuses on advanced energy storage technologies, power electronics, and their integration into transportation systems and smart grids. Education: Ph.D. (Electrical Engineering, Illinois Institute of Technology, 2006), M.S. (Electrical Engineering, Illinois Institute of Technology, 2002), B.E. (Electrical Engineering, University of Mumbai, 1999). Research Interests - Electric Energy Storage Systems for Transportation Electrification - Battery Management Systems (BMS) and Thermal Safety - Wireless Power Transfer and Charging Infrastructure - Cyber-Physical Security in EV Systems - Smart Grid Integration of Renewable Energy Publications : Over 50 peer-reviewed articles from 2021–2025, focusing on battery technologies, power electronics, and electrification challenges. Key themes include solid-state batteries, cloud-based BMS architectures, and dynamic wireless charging systems. No scientific awards explicitly listed in provided texts. Active in academic leadership and curriculum development within the department.

Feng AnView profile

Research Fellow

• Renewable Energy Power Conversion
• Power Electronic Converters
• Optimized Power System Operation
• +3 more

Dr. Feng (Chris) An is a Postdoctoral Research Fellow at the School of Electrical Engineering and Computer Science, University of Queensland. He holds a Ph.D. in Electrical Engineering from Tsinghua University (2023) and joined UQ in 2024. His research focuses on renewable energy power conversion, power electronics topology/control, and optimized power system operation with integrated power electronic devices. He is a reviewer for top-tier journals like IEEE Transactions on Power Electronics and has been recognized in the Stanford/Elsevier Top 2% Scientists List 2024. Education: Ph.D. in Electrical Engineering, Tsinghua University, 2023 Research Interests: Renewable energy systems, power electronic converters, grid integration, energy storage systems, and power system modeling. Publications: Over 16 peer-reviewed articles in journals like IEEE Transactions and conference proceedings, focusing on DC transformers, energy storage, and grid resilience. Awards: Stanford/Elsevier Top 2% Scientists List 2024 He advises students in renewable energy and power conversion and collaborates with the Power & Energy Systems Research Group. His work addresses challenges in high-renewable grids and power system stability.

Rahul SharmaView profile

Associate Professor

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

Associate Professor Rahul Sharma is affiliated with the School of Electrical Engineering and Computer Science at The University of Queensland (UQ), within the Faculty of Engineering, Architecture and Information Technology. His primary research focuses on control systems applications, particularly in solar farm fault detection, grid-connected inverter control, and demand side management. His work emphasizes system modeling, control development, and model-based fault diagnosis, with significant industrial relevance in renewable energy and smart grid technologies. Research Interests: - Solar farm fault detection and diagnosis via control theory to identify underperforming panels. - Advanced control methods for grid-connected inverters to enhance power quality and stability. - Demand side management through novel control algorithms for distributed energy resources. His experimental work includes field trials at Gatton Solar Farm and collaborations with industry partners. Articles Trends: Recent publications emphasize network-aware control of distributed energy resources, dynamic operating envelopes for demand response, and smart grid optimization. Key themes include low-voltage distribution networks, prosumer P2P trading, and fault diagnosis in power systems. Advising & Labs: He supervises prospective PhD students in control systems and renewable energy. Experimental setups at UQ and field trials at Gatton Solar Farm support his research on fault detection and grid systems.

• Power Electronics
• Control Systems
• Renewable Energy Systems
• +3 more

Sohail Umer is a University Lecturer in the Department of Electrical Technology at UiT The Arctic University of Norway, specializing in power electronics and energy systems. His work focuses on improving power quality, control techniques, and energy efficiency in standalone and grid-connected systems. Research group: Electromechanical Systems Project: DeHigh His research explores advanced control strategies for power electronic converters, particularly Current Source Converters and Modular Multilevel Converters, with applications in renewable energy integration, microgrids, and smart grid technologies. Recent publications highlight innovations in adaptive modulation techniques, overlap-time mitigation, and hybrid PV-battery systems. Key themes include energy storage optimization, distributed generation, and converter design for standalone applications. Collaborations span institutions like UiT and include co-authors such as Trond Østrem, Bjarte Hoff, and Andrei Blinov. His work addresses challenges in renewable energy systems, including grid stability, harmonic reduction, and multi-port converter efficiency.

Paul JudgeView profile

Associate Professor

• Power Electronics
• HVDC Systems
• Modular Multilevel Converters
• +2 more

Dr. Paul Judge is a Reader (Associate Professor) in Power-Electronics at the University of Edinburgh's School of Engineering, affiliated with the Institute for Energy Systems. His research focuses on advanced power converter technologies including Modular Multilevel Converters (MMCs), HVDC systems, and silicon carbide applications. He leads projects on GW-scale MVDC systems using superconducting cables and optimization of SiC-based power modules for offshore wind turbines. His work enables higher efficiency power conversion through innovations in semiconductor applications and converter design, particularly for renewable energy integration and grid stability. Dr. Judge has received the Eryl Cadawalar Davis Prize for excellence in electronics research. His current investigations include active gate-driving techniques for SiC MOSFETs and DC fault protection strategies for multilevel converters.

Xiu YaoView profile

Associate Professor

• Power Electronics
• Microgrid Control and Protection
• High Voltage DC Transmission
• +3 more

Dr. Xiu Yao is an Associate Professor in the Department of Electrical Engineering at the University at Buffalo (UB), School of Engineering and Applied Sciences. She joined UB in 2015 and has held positions such as a research engineer at the University of Dayton Research Institute and a research intern at ABB Corporate Research Center. Her research focuses on power electronics, microgrid control, high-voltage DC transmission, and DC arc fault detection. Dr. Yao has received the 2016 US Air Force Summer Faculty Fellowship award for her work at Wright-Patterson Air Force Base. Education includes a PhD in Electrical Engineering from The Ohio State University (2015), an MS from Xi'an Jiaotong University (2010), and a BS from the same institution (2007). Her work emphasizes practical applications like modular multilevel converters and fusion power plant systems. Recent publications highlight advancements in DC microgrid security, wide-bandgap semiconductor devices (e.g., Ga2O3), and fault detection algorithms. Her research trends reflect a strong focus on integrating cybersecurity into power systems, optimizing HVDC systems, and enhancing fault detection through machine learning and observers. Awards and honors underscore her contributions to defense-related power systems. While no grants are explicitly listed, her work aligns with high-impact areas like renewable energy integration and high-voltage engineering.

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)

Meghdad FazeliView profile

Senior Lecturer

• Renewable Energy Systems
• Smart Grids
• Microgrids/Nanogrids
• +5 more

Dr. Meghdad Fazeli is a Senior Lecturer in the Department of Electronic and Electrical Engineering at Swansea University, Faculty of Science and Engineering. His research focuses on renewable energy integration, smart grids, and microgrid technologies, with a particular emphasis on virtual synchronous machines (VSM) and energy management strategies. He leads projects addressing climate change mitigation through decarbonized energy systems, aligning with UN Sustainable Development Goals 7, 11, and 13. Dr. Fazeli collaborates with National Grid ESO and colleagues across disciplines including Computer Science and Business School via the CARI initiative. He founded Innoverters-Ltd, a Swansea spin-out consultancy for future power systems innovation. His teaching uses blended learning, including MATLAB-SIMULINK integration and recorded lectures, coordinating modules like Power Systems (EG-342) and Advanced Power Systems (EGLM05). Research interests span renewable energy control, grid-forming inverters, and energy communities. Recent articles address VSM applications, peer-to-peer trading, and buffered microgrid designs. He advises PhD projects on topics like solar forecasting and grid-less power system architectures. His work emphasizes sustainable energy transitions, long-term resilience, and interdisciplinary solutions for net-zero systems.

• Artificial Intelligence
• Machine Learning
• Internet of Things
• +13 more

Edoardo Patti is an Associate Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, Italy. He is actively involved in research and teaching, focusing on artificial intelligence, machine learning, IoT, smart grids, energy communities, co-simulation, and digital twin technologies. He is a member of the EDA (Electronic Design Automation) research group and the Interdepartmental Center IAM@PoliTo for Integrated Additive Manufacturing. His research interests span Artificial Intelligence, Machine Learning, Internet of Things, Smart Grids, Energy Communities, Co-simulation, Distributed Software Infrastructure, Digital Twin, Physics-Informed Neural Networks, and Reinforcement Learning . His work is closely aligned with Sustainable Development Goals such as Affordable and Clean Energy (Goal 7), Sustainable Cities (Goal 11), and Climate Action (Goal 13). The latest publications reveal a strong trend in AI-driven modeling for energy systems, including digital twins for wave energy converters, urban electric mobility simulation, real-time battery health estimation, and co-simulation platforms for integrated energy systems. His work combines machine learning with physical models and large-scale distributed systems to address sustainability challenges. He supervises several PhD students, including Maria Adelaide Loffa, Matia Torlini, Rafael Natalio Fontana Crespo, Pietro Rando Mazzarino, Claudia De Vizia, and Marco Massano. He has led numerous research projects funded by EU (H2020), PNRR, regional initiatives, and corporate contracts, particularly in additive manufacturing, smart grids, and IoT platforms. He is involved in multiple research groups and centers: EDA - Electronic Design Automation (DAUIN) Interdepartmental Center IAM@PoliTo - Integrated Additive Manufacturing

• Power Electronics
• Neuroengineering
• Medical Devices
• +3 more

Haitham Kanakri is a Lecturer in the Department of Electrical and Computer Engineering at Purdue University's Indianapolis campus. His research focuses on power electronics, biomedical engineering, and electromagnetic systems with applications in medical devices, renewable energy systems, and semiconductor technologies. He is affiliated with Purdue Engineering and contributes to interdisciplinary projects spanning nanoengineering, sustainable housing design, and neurostimulation therapies for Alzheimer’s disease. Key research interests include capacitorless power converter designs, planar electromagnetic components, and neuroengineering innovations. His work integrates nanotechnology fabrication processes with traditional electrical systems to achieve compact, high-performance solutions. Recent projects explore electromagnetic field therapy for neurological disorders and high-efficiency DC-AC conversion systems for electric vehicles. Notable contributions include developing portable neurostimulation devices using meander line antennas and advancing resonant converter technologies for renewable energy applications. His work bridges theoretical electromagnetic models with practical engineering solutions, particularly in transformer design and semiconductor cooling systems. While no specific awards are listed, his publications indicate sustained innovation in power electronics and biomedical engineering. Academic advising and grant activities are not detailed in available records. Collaborations likely involve multidisciplinary teams given the breadth of his research portfolio.

John C. W. LamView profile

Associate Professor

• Power Electronics
• High Frequency Power Converters
• Renewable Energy Systems
• +3 more

John C. W. Lam is an Associate Professor in the Department of Electrical Engineering & Computer Science at York University's Lassonde School of Engineering. He serves as the Graduate Program Director for MASc and PhD programs and is a Professional Engineer (P.Eng). His research focuses on power electronics, high-frequency converter topologies, renewable energy systems, and energy storage technologies. Lam directs the Advanced Power Electronics Laboratory for Sustainable Energy Research (PELSER). He is an IEEE Senior Member and an Associate Editor for multiple IEEE journals, including Transactions on Power Electronics and Transactions on Industry Applications. Education: B.Sc. (Hons.) in Electrical Engineering and BA in Economics from Queen’s University (2003), M.Sc. and Ph.D. in Electrical Engineering from Queen’s University (2006, 2010). He completed a Postdoctoral Fellowship at Queen’s ePOWER from 2010–2014 before joining York University in 2014. Research emphasizes high-frequency power converters for renewable energy integration, medium-voltage DC grids, and electric vehicle charging systems. Key contributions include modular resonant converter designs, soft-switching techniques, and fault-tolerant power electronics architectures. His publications (15 most recent listed) explore topics like MVDC distributed PV systems, high-voltage EV chargers, and grid-connected inverter control. He has developed novel topologies for electrolytic capacitor-less converters and modular power balancing techniques. Lam’s lab (PELSER) focuses on sustainable energy research, advancing efficient power conversion solutions for grid, renewable, and transportation applications. He has edited special issues in IEEE/IET journals and holds leadership roles in professional organizations.

Damu RadhakrishnanView profile

Associate Professor

• Low Power Digital Architectures
• High-Performance Arithmetic Circuits
• Reversible Logic
• +3 more

Damu Radhakrishnan is an Associate Professor in the Department of Computer Engineering at SUNY New Paltz. He holds a Ph.D. in Electrical Engineering from the University of Idaho, following B.Sc. and M.Tech. degrees from the University of Kerala and IIT Kanpur, India. His research focuses on low-power digital architectures, high-performance arithmetic circuits, reversible logic, and bio-medical instrumentation. He teaches courses including Introduction to Engineering Science, Digital Logic Lab, Digital Systems Design, and Senior Design Project 2. Dr. Radhakrishnan has contributed to over 20 publications since 1983, emphasizing low-power circuit design, residue arithmetic, and biomedical device development. His work spans analog-to-residue converters, fault-tolerant systems, and medical instrumentation. Key technical reports include contributions to NASA Langley Research Center and EG&G Corporation projects. His research trends reflect a sustained focus on energy-efficient digital systems, with early contributions to CMOS power optimization and later advancements in biomedical device testing. His publications demonstrate expertise in both theoretical foundations (e.g., switching theory textbooks) and applied engineering (e.g., defibrillator analyzers). Dr. Radhakrishnan maintains an active lab in Resnick Engineering Hall, where he oversees senior design projects and collaborates on interdisciplinary engineering solutions. His technical reports highlight contributions to medical simulation tools, VLSI implementation methods, and analog-digital interface design.