Find Academic Supervisors

• Power Electronics
• Smart Grids
• Energy Conversion Systems
• +3 more

Mauro Carpita is a full Professor at HES-SO (University of Applied Sciences and Arts Western Switzerland), serving as Director of the Institute of Energy . His work focuses on power electronics, smart grids, and energy conversion systems , with extensive collaboration in industrial and academic projects . Research Interests: Power Electronics for renewable energy integration Smart Grid Stability and control systems Energy Conversion technologies for high-altitude aviation and industrial applications Digital Controllers and system simulation Recent Publications address grid forming inverters, MVDC distribution modeling, residential energy consumption causality, and stochastic optimization for active distribution networks. These works emphasize grid stability, converter efficiency, and renewable energy integration. Project Leadership includes Innosuisse-funded initiatives like Limitless and Prisys , as well as collaborations with industry partners DEPsys, RUAG Aerospace, and ABB Sécheron . Projects span soft open point systems, fuel cell converters, and electromagnetic compatibility in smart grids.

• Power Systems
• Machine Learning
• High Voltage Direct Current (HVDC)
• +2 more

H. Aji is a researcher specializing in power systems engineering with expertise in high-voltage direct current (HVDC) transmission and machine learning applications for grid management. Holding an MSc degree and the professional title Ir. (Insinyur), his work focuses on critical infrastructure challenges in regional power systems, particularly the Java-Bali grid in Indonesia. International collaboration is evident through co-authorship with Dutch researchers on HVDC fault control studies. His research integrates electrical engineering fundamentals with cutting-edge AI techniques, notably Long Short-Term Memory (LSTM) networks for load forecasting and modular multilevel converter (MMC) control strategies for fault management. This dual focus addresses both traditional grid stability issues and modern data-driven optimization needs, reflecting a strategic evolution from hardware-centric solutions toward AI-enhanced grid analytics. Analysis of his publication timeline reveals a clear trajectory: the 2016 work on MMC-HVDC fault control established foundational power electronics expertise, while the 2023 LSTM load forecasting study demonstrates adaptation to computational intelligence trends. This progression highlights responsiveness to industry shifts toward smart grid technologies and renewable energy integration challenges in developing regions. While supervision practices and grant funding details aren't documented, his active publication record spanning seven years indicates sustained research engagement. The absence of laboratory or award information suggests focus remains on core engineering research rather than large-scale team leadership or prize-winning innovations.

• High Voltage Engineering
• Voltage Engineering
• Testing Engineering
• +4 more

Prof. Peter Vaessen is a faculty member at Delft University of Technology (TU Delft) in the Netherlands. He is affiliated with the Faculty of Electrical Engineering, Mathematics and Computer Science, where he leads research within the High Voltage Technology Group. His work focuses on high voltage engineering and related technologies critical for modern power systems and the energy transition. Prof. Vaessen's research interests include: High Voltage Engineering and Testing (61% of his research fingerprint) Partial Discharge Detection and Analysis Transformer Insulation Systems under High Voltage PWM Stress Modular Multilevel Converters Generators and Power Transmission Systems Advanced Methods for Capacitance and Impedance Calculation His recent publications demonstrate expertise in advanced high voltage systems analysis, addressing critical challenges in modern power infrastructure. These works collectively focus on enabling the integration of renewable energy sources into existing grids through improved high voltage technologies. Prof. Vaessen has been featured in national media for his work with the High Voltage Technologies Group at TU Delft. In April 2024, he emphasized that high voltage technology is more critical than ever for the energy transition, contrary to earlier expectations of completely decentralized power generation. He has supervised 5 research projects and participated in academic presentations, including a 2023 masterclass on 'Without DC, no energy transition.' His work bridges theoretical research with practical applications in power systems infrastructure.

Stephan TrennView profile

Associate Professor

• Control Theory
• Differential-Algebraic Equations
• Switched Systems
• +3 more

Stephan Trenn serves as an Associate Professor in the Department of Systems, Control and Applied Analysis at the Faculty of Science and Engineering, University of Groningen, Netherlands. His academic profile centers on advancing theoretical frameworks for complex dynamical systems, with particular emphasis on differential-algebraic equations and switched systems within control theory. His primary research interests include Control Theory, Differential-Algebraic Equations, Switched Systems, Observability and Controllability, Nonlinear Systems, and Impulsive Systems. Trenn's work addresses fundamental challenges in solution theory, stability analysis, and control design for systems exhibiting switching behavior and algebraic constraints, contributing significantly to the understanding of descriptor systems and hybrid dynamics. Analysis of his 15 most recent publications (2024-2025) reveals consistent trends in extending funnel control methodologies to impulsive switched systems, developing model reduction techniques for switched differential-algebraic equations, and analyzing discrete-time switched descriptor systems. His research demonstrates a strong integration of theoretical control frameworks with practical engineering applications, particularly in power converters, grid stability, and safe continual learning systems. No scientific awards were mentioned in the provided text. No information regarding student advising or research grants was provided in the materials; however, Trenn maintains active academic service through editorial board memberships for multiple control theory journals.

• Machine Learning
• Power Electronics
• DC Grids
• +4 more

Tian Xia is a Researcher in the Department of Computing at Imperial College London, affiliated with the Faculty of Engineering. His work focuses on advanced power electronics, DC grid technologies, and modular converter systems. He specializes in high-voltage DC transmission, fault current limiting, and efficient power flow control in multi-terminal DC grids. His research addresses challenges in renewable energy integration, grid stability, and high-efficiency converter design. Key research areas include resonant modular multilevel converters, bidirectional DC power flow control, and thermal management in high-power systems. His contributions span both theoretical analysis and practical applications in HVDC systems, offshore wind farm integration, and DC microgrid architectures. Recent work emphasizes scalable solutions for meshed DC grids and fault-tolerant converter topologies. No formal academic awards are explicitly listed. His publications highlight a strong focus on experimental validation and simulation-driven design in power electronics. While no advising roles or grants are mentioned in the provided texts, his research demonstrates significant technical depth in DC grid infrastructure and energy conversion systems.

George PapafotiouView profile

Professor

• Power Electronics
• Model Predictive Control (MPC)
• Renewable Energy Systems
• +3 more

George Papafotiou is a Full Professor in the Department of Electrical Engineering at Eindhoven University of Technology (TU/e) and Head of the Power Electronics Lab. His research focuses on computational intelligence, particularly Model Predictive Control (MPC), applied to power electronics systems for applications in renewable energy, high-efficiency power conversion, and grid integration. He holds affiliations with the EIRES Research Institute and the Cyber-Physical Systems Center in Eindhoven. Academic Background: Papafotiou earned his PhD in Electrical Engineering from Aristotle University of Thessaloniki (2002) and completed a postdoc at ETH Zurich (Switzerland). He spent 15 years at ABB in roles including Scientist, Global R&D Manager for SW/Control HW, and Quality Manager, leading projects on MPC-based control systems for industrial drives and energy management. Research Interests: His work centers on advancing power electronics through MPC for microsecond-scale control, enabling reliable systems critical to a carbon-free future. Key areas include modular multilevel converters (MMCs), soft-switching techniques, grid-tied power electronics, and harmonics mitigation in high-voltage systems. Projects: Current projects include RelSST: Developing reliable solid-state transformers for smart grids. HiVECAF: Designing versatile, efficient active filters for power quality improvement. Teaching: He teaches Electric Circuits Analysis for Energy Conversion Electric Drive Systems Grants & Labs: Leads the Power Electronics Lab, focusing on applied research in sustainable energy systems and industrial automation.

Dominic GrossView profile

Professor

• Power Systems
• Renewable Energy
• Grid-Forming Control
• +4 more

Professor Dominic Gross is a faculty member in the Department of Electrical and Computer Engineering at the University of Wisconsin-Madison, part of the College of Engineering. His research focuses on grid-forming control of power electronics-interfaced renewable generation, aiming to enable resilient zero-carbon power systems. He holds a PhD (2014) and a Dipl.-Ing. (equiv. to M.Sc.) (2010) from the University of Kassel. His research interests include control of microgrids, distributed control of complex networked systems, and grid-forming control strategies for wind/solar systems. He has received notable awards including the NSF CAREER Award (2022) and the IEEE Power and Energy Society Best Paper Award (2019). Recent publications emphasize advancements in grid-forming inverters, unbalanced power flow models, and fault-tolerant control of renewable systems. His work bridges power system stability analysis with converter control optimization. Teaches courses like State Space Systems Analysis (E C E 334) and Utility Application of Power Electronics (E C E 714). Active in advising pre-dissertators and dissertators through specialized research courses. His research lab focuses on transforming grid infrastructure through advanced inverter control, contributing to IEEE standards and industrial partnerships.

• Power Electronics
• Wide Bandgap Devices
• Renewable Energy Integration
• +3 more

Jinia Roy is an Assistant Professor at the University of Wisconsin-Madison in the Department of Electrical and Computer Engineering. Her research focuses on wide bandgap (WBG) device-based power converters for pulsed power supplies, renewable energy integration, and electric transportation systems. PhD, Arizona State University (2017) M.Tech, Indian Institute of Technology Kanpur (2013) BE, Jadavpur University (2011) Roy’s work explores GaN and SiC devices for applications such as offshore wind farms, medical equipment, and fast EV charging. Her research combines theoretical analysis, simulation, and experimental validation to improve power density, efficiency, and transient response. Recent publications highlight innovations in active power decoupling , modular multilevel converters , and traveling wave fault detection . She has contributed to fault diagnostics, renewable energy optimization, and GaN-based inverter designs. Scientific Awards : 2024 IEEE Power Electronics Society Regional Distinguished Lecturer 2019 IEEE PELS Prize Ph.D. Thesis Talk (Top 5 Winner) 2017 APEC Best Paper Presentation Award 2014 IEEE IECON Best Presentation Recognition 2013 IEEE/PEDES Award

• Control engineering, mechatronics and robotics
• Electrical engineering
• Electronics, sensors and digital hardware
• +6 more

Marc Bodson is a Professor of Electrical & Computer Engineering at the University of Utah, Salt Lake City. He holds a PhD in Electrical Engineering and Computer Science from the University of California, Berkeley, and has served as Chair of the Department of Electrical & Computer Engineering from 2003 to 2009. His research focuses on adaptive control with applications to electromechanical systems and aerospace, including work on doubly-fed induction machines and hybrid-electric propulsion systems. Education: Ph.D., Electrical Engineering and Computer Science, UC Berkeley (1986) M.S., Electrical Engineering and Computer Science, MIT (1982) M.S., Aeronautics and Astronautics, MIT (1982) Ingénieur Civil Mécanicien et Electricien, Université Libre de Bruxelles (1980) Research Interests: Adaptive control for electric motors and generators Control systems for hybrid-electric propulsion Stability and robustness analysis of power systems Complex-variable representation for control design Key Contributions: Developed control algorithms for doubly-fed induction generators (DFIGs) and motors, explored voltage and current control strategies for power converters, and contributed to mitigating sub-synchronous resonances in power grids. His work emphasizes practical implementations validated through experiments and simulations. Awards: IEEE Fellow (2006) AIAA Associate Fellow (2013) Utah Engineers Council Engineering Educator of the Year (2006) Life Fellow, IEEE (2023) Grant-funded projects include the W M Keck Foundation Award (2019-2022) and a Power Systems Program consortium grant (2008-2017). He has taught courses on electric generators, motor control, and power systems, emphasizing practical and theoretical integration. His editorial roles include Editor-in-Chief of the IEEE Transactions on Control Systems Technology (2000-2003).

Kamyar MehranView profile

Senior Lecturer

• Power Electronics
• Energy Storage Systems
• AI-Based System Modelling and Control
• +7 more

Dr. Kamyar Mehran is a Senior Lecturer in Electrical Power Engineering at the School of Electronic Engineering and Computer Science , Queen Mary University of London , and the founder of the Real-Time Power and Control Systems (RPCS) laboratory. His research spans advanced control and condition monitoring for silicon carbide (SiC)-based power electronics, microgrids, lithium-ion battery systems, and electric/hybrid marine powertrains. Key Research Areas: Power Electronics, Cyber-Physical Systems (CPS), AI-Based Control, Energy Storage, Microgrid Stability, and Battery Management Systems. Notable Projects: Lead UK/Thailand collaborations on wave-powered microgrids for remote islands, EPSRC-funded distributed control of microgrids, and Innovate UK Energy Catalyst grants. Technical Expertise: Hardware-in-the-loop (HIL) simulation, rapid control prototyping (RCP), wireless sensing technologies, and multi-sensory fusion algorithms. Publications focus on distributed control strategies, AI-driven energy management, and SiC MOSFET reliability. His work integrates theoretical advancements (e.g., polynomial fuzzy control systems) with practical applications in renewable energy and electric vehicles.

Mircea LazarView profile

Associate Professor

• Constrained Control
• Model Predictive Control
• Hybrid Systems
• +4 more

Mircea Lazar is an Associate Professor in the Control Systems group at Eindhoven University of Technology. His research spans constrained control, model predictive control (MPC), and stability analysis of hybrid systems, with applications in power systems, smart grids, and precision mechatronics. Research highlights include: Development of data-driven predictive control methods Stability guarantees for nonlinear and hybrid systems Applications in water networks, power converters, and mechatronics He has received the EECI PhD Award and NWO VENI grant. Recent publications focus on real-time MPC implementations, physics-guided neural networks, and optimization for large-scale systems. Collaborations include ASML, DAF, Philips, and Ford. He chairs the IEEE CSS Technical Committee on Hybrid Systems and has supervised 9 PhD students.

Mehrdad KazeraniView profile

Professor

• Power Electronics
• Renewable Energy Integration
• Electric Vehicles
• +3 more

Dr. Mehrdad Kazerani is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. His research focuses on power electronics, renewable energy integration, electric vehicles, energy storage systems, and microgrids. He has extensive experience in multidisciplinary projects funded by NSERC, ESTAC, and industry partners like Hydro One and GM. Dr. Kazerani has supervised numerous students and contributed to IEEE editorial roles. He advises the University of Waterloo's Alternative Fuels Team (UWAFT) and Formula Electric Vehicle team. Education: Ph.D., Electrical Engineering, McGill University, Canada (1995) Master's, Electrical Engineering, Concordia University, Canada (1990) Bachelor's, Electrical and Electronic Engineering, Shiraz University, Iran (1980) Research Interests: Power electronic converter modeling/control, hybrid energy storage systems, electrified vehicular powertrains, renewable energy integration, and AC/DC microgrid design. His work emphasizes smart grid technologies, energy access, and grid resilience. Grants & Contributions: Secured funding from NSERC, OCE, and industry partners. Active in IEEE technical committees, conference organization, and journal editing. Served on national research panels and as an external PhD examiner. Labs & Teams: Leads the Canadian Renewable Energy Laboratory and advises student teams focused on alternative fuels and electric vehicles.

Antonios AntonopoulosView profile

Assistant Professor

• Power Electronics
• Industrial Electronics
• Electric Motor Drive Systems
• +3 more

Antonios Antonopoulos is an Assistant Professor at the Department of Electric Power, School of Electrical and Computer Engineering, National Technical University of Athens (NTUA). He holds a PhD from KTH Royal Institute of Technology (2013) and has worked at ABB Research Center (2008–2017) and as a visiting researcher at NTNU (2018). His research focuses on high-power electronic converters, motor drive systems, and power grid applications. He teaches undergraduate and postgraduate courses including Industrial Electronics, Power Electronics I–II, and Electrical Machine Control Systems. Education: Bachelor's in Electrical and Computer Engineering, NTUA (2002–2007) PhD in Power Electronics, KTH Royal Institute of Technology (2008–2013) His research interests emphasize advanced power electronics, particularly in modular multilevel converters (MMCs), soft-switching techniques, and high-efficiency energy conversion. His recent work addresses challenges in converter reliability, thermal management, and real-time control strategies. Antonopoulos has published extensively on topics like LLC converter design, MOSFET-based loss modeling, and IGBT lifetime assessment. He actively contributes to academic courses and industry-relevant R&D projects.

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

Abraham Marquez Alcaide is a researcher in the Department of Electronic Engineering at the University of Sevilla, affiliated with the Higher Technical School of Engineering International Postgraduate School (EIP). He specializes in power electronics, modular multilevel converters (MMCs), and predictive control techniques for renewable energy systems. University: University of Sevilla School: Higher Technical School of Engineering International Postgraduate School (EIP) Department: Electronic Engineering His research focuses on thermal management, harmonic reduction, and control strategies for power converters in smart grids and electric vehicle (EV) charging systems. Key projects include POWER SYSTEM DIGITAL SERVICES and NUEVA GENERACIÓN DE TECNOLOGÍAS FOTOVOLTAICAS , emphasizing efficiency and circularity in energy conversion. Recent publications analyze advanced modulation methods for cascaded H-bridge converters, capacitor lifetime extension in interleaved DC-DC converters, and neural network-based predictive control. These works align with keywords such as power electronics, renewable energy integration, and smart grid optimization.

Oleh KiselychnykView profile

Associate Professor

• Power Electronics
• Renewable Energy Systems
• Electric Vehicle Technology
• +3 more

Dr. Oleh Kiselychnyk is an Associate Professor in the School of Engineering at the University of Warwick, where he leads the Power and Control Systems Research Laboratory. He previously held roles as a Science City Research Fellow (2012–2015) and Assistant Professor (2015–2019). His expertise spans energy-efficient control systems, power electronics, and renewable energy integration. He coordinates the MSc Electrical Power Engineering program and teaches advanced modules on power electronic converters and drive control. Research interests focus on optimal control of electric vehicle drives, self-excited induction generators, and grid-integrated photovoltaic systems. Notable projects include EPSRC-funded initiatives on multilevel inverters, clean energy storage, and modular transportation architectures. He has supervised over 30 student projects on motor drives, power converters, and renewable energy applications. Key contributions include advancements in sensorless control algorithms for pumps/fans, neural network-based parameter estimation, and nonlinear control strategies for energy storage systems. His work bridges theoretical modeling with practical implementation in industrial and automotive sectors. Dr. Kiselychnyk collaborates with industry partners like Hyundai Motor Europe and AVL Powertrain, translating research into real-world applications. His lab facilities support experimental validation of novel control techniques and power electronic topologies.