Théodore Cherriere is a researcher at the Laboratory of Electrical and Electronic Engineering in Paris, specializing in topological optimization of electrical machines and actuators. His work focuses on advanced computational methods for designing rotating machines, magnetic circuits, and multi-material systems. Research Interests : Topological optimization of magnetic devices Finite element analysis for electrical machine design Multimaterial filtering techniques Magneto-mechanical interactions Density-based optimization methods Nonlinear material behavior modeling Key Article Trends : His recent publications emphasize multimaterial design strategies, geometric optimization without initial constraints, and novel filtering techniques to enhance magnetic flux efficiency in permanent magnet synchronous machines and reluctance motors.
Professor Jussi Sopanen holds a DSc (Technology) from LUT University and has extensive experience in mechanical engineering and electric machine design. He currently leads the laboratory of Machine Dynamics and directs the LUT Integrated Energy Conversion Machinery (INERCOM) platform at the LUT School of Energy Systems. His research focuses on high-speed electric machines, rotordynamics, and digital twins, with over 125 publications in dynamic system design and simulation. He has supervised 12 doctoral and 57 master’s students, and his work has garnered 2,700+ citations with an h-index of 25. Education: DSc (Technology), LUT University (2004) Research interests include rotordynamics of high-speed drives, mechanical design of electrical machines, real-time multibody simulation, and digital twins. His work addresses challenges in rotor stability, bearing dynamics, and material selection for high-speed applications. Articles from 2023–2025 highlight advances in laminated rotor materials, fault diagnosis, and computational modeling. Professor Sopanen chairs the 12th IFToMM International Conference on Rotordynamics (2026) and serves on editorial boards, including Shock and Vibration . He leads a team exploring hybrid powertrains and energy-efficient machinery through collaborative platforms like INERCOM. His research bridges mechanical and electrical engineering, emphasizing practical applications in renewable energy and industrial systems.
Lassi Aarniovuori serves as an Associate Professor (Tenure Track) in Electrical Engineering at LUT School of Energy Systems, LUT University in Lappeenranta, Finland. His academic career includes a Doctor of Engineering in Electrical Drives Engineering from LUT University (2010) and a Marie Curie Research Fellowship at Aston University (2017-2019). As an IEEE Senior Member, he maintains active contributions to the field of electrical engineering with particular expertise in power electronics and electric drive systems. Master of Science in Electrical Engineering (2005), LUT University Doctor of Engineering in Electrical Drives Engineering (2010), LUT University Marie Curie Research Fellow (2017-2019), Aston University, Birmingham Professor Aarniovuori's research spans electric vehicles, power electronics, modulation methods, electric drives simulation, energy efficiency measurements, and calorimetric measurement systems . His work focuses on improving the efficiency and performance of electrical machines and power conversion systems, with special attention to loss measurement techniques and thermal management. The research has significant implications for sustainable transportation and industrial applications where energy efficiency is paramount. Analysis of his recent publications (2023-2025) reveals a strong focus on next-generation power electronics, particularly silicon carbide technology for high-speed drives, advanced loss measurement techniques, and optimization of electric machines. His work increasingly addresses practical challenges in electric vehicle charging infrastructure, high-power systems, and the transition to electrified heavy-duty transportation, demonstrating both theoretical depth and practical application. IEEE Senior Member Marie Curie Research Fellowship (2017-2019) While specific grant information isn't detailed in the provided text, Professor Aarniovuori's Marie Curie Fellowship indicates successful competitive funding acquisition. His extensive publication record suggests ongoing research projects and collaborations focused on advancing power electronics and electric machine technologies. His work appears to bridge academic research with industrial applications, particularly in the electric vehicle sector. Professor Aarniovuori's research environment at LUT School of Energy Systems likely includes specialized laboratories for electric machine testing, power electronics development, and thermal measurement systems. His focus on calorimetric measurement systems suggests dedicated facilities for precise efficiency determination of electrical machines and power converters, supporting both fundamental research and industry collaboration.
José Rodríguez is a Professor in the Department of Computer Science at CINVESTAV-IPN in Mexico City, Mexico. His research focuses on power electronics, model predictive control (MPC), renewable energy systems, and electric drives. He has collaborated extensively with researchers worldwide, contributing to advancements in energy transition technologies and grid integration strategies. His work emphasizes improving efficiency, reducing computational complexity, and enhancing reliability in power conversion systems. Key areas of expertise include fault diagnosis in rotating machinery, optimization of photovoltaic systems, and the development of advanced control algorithms for electric drives and converters. Rodríguez has authored over 200 peer-reviewed publications, with a strong presence in top-tier journals like IEEE Transactions on Industrial Electronics and IEEE Access . His recent work explores hybrid models (e.g., CWT-LeNet-5-LSTM) for fault detection, low-cost sensor integration, and data-driven predictive control techniques. He also investigates multilevel inverter topologies and grid-connected converter systems, addressing challenges like transient DC offset mitigation and harmonic distortion reduction. Rodríguez’s contributions span both theoretical and applied research, bridging the gap between control systems and practical energy solutions. His interdisciplinary approach combines machine learning, optimization algorithms, and traditional engineering principles to tackle modern energy challenges.
Farzad Farajizadeh is a Research Fellow in Power Engineering at the School of Engineering, The University of Western Australia (UWA). He holds a PhD in Electrical Engineering from Queensland University of Technology (2021), specializing in wireless power transfer systems for dynamic chargers. Previously, he served as a post-doctoral researcher at the University of Queensland, focusing on electromagnetic interference modeling in power electronic systems. His research interests encompass power electronic converters, renewable energy systems, wireless power transfer (WPT), and FACTS technologies. He leads projects on stackable multi-level power electronic modules and has contributed to advancements in dynamic WPT for applications like electric vehicle charging. His work aligns with UN Sustainable Development Goals, particularly in sustainable energy and innovation. Farajizadeh has authored over 20 peer-reviewed publications, including studies on grid-side current oscillations, EMI mitigation in IPT systems, and control strategies for cascaded multilevel inverters. He is a co-investigator on the ARC-funded Renewable Microgrid Pilot for Gravitational Wave Facilities project, addressing energy resilience in remote infrastructure. His research bridges theoretical analysis and experimental validation, with applications in smart grids, renewable integration, and high-efficiency power systems. Key contributions include novel converter designs for dynamic WPT and harmonic mitigation techniques in parallel grid-tied inverters.
Andrea Cavagnino is a Full Professor in the Energy Department (DENERG) at the Polytechnic University of Turin. His research focuses on advanced design of electrical machines, analytical-numerical methods, magnetic materials, and thermal modeling. He leads projects like SUPERDRIVE (superconductive synchronous machines) and TUrBO (high-speed reluctance motors). Cavagnino has held editorial roles in IEEE Transactions journals and chairs conferences like the IEEE International Electric Machines and Drives Conference. He supervises PhD students in high-speed motor design and power systems. His awards include multiple Publication Awards from Politecnico di Torino and an ERC Advanced Grant proposal recognition. Cavagnino also consults for industry on motor design and optimization. His recent work addresses ultra-high-speed motors, additive manufacturing rotors, and cryogenic cooling impacts on machine performance.
Milutin Jovanovic is a Reader in Power Engineering at Northumbria University's Faculty of Engineering and Environment. Previously, he served as a Senior Lecturer at the same institution and held roles at Liverpool John Moores University and the University of Newcastle, Australia. He holds a PhD in electrical engineering from the University of Newcastle (1997), alongside earlier degrees from the University of Belgrade, Serbia. His expertise spans electrical machines/drives, renewable energy systems, and wind energy conversion, with a focus on sensorless control and grid integration. Education: BEng (Electrical Engineering), University of Belgrade, 1987 MEng (Electrical Engineering), University of Belgrade, 1991 PhD (Electrical Engineering), University of Newcastle, Australia, 1997 Research Interests: Dr. Jovanovic's work emphasizes advanced control strategies for electrical machines, particularly doubly-fed reluctance generators (BDFRG) and wind energy systems. His research includes sensorless operation, parameter-independent control, grid fault mitigation, and multiport/multi-phase energy conversion systems. He has collaborated internationally, including through ERASMUS teaching programs in France and across Europe, Asia, and Australia. Teaching & Collaboration: He teaches power engineering subjects at undergraduate/postgraduate levels and has delivered invited lectures globally. Current projects include optimizing multiport systems and wind turbine control. His work is published in leading journals like IEEE Transactions and International Journal of Electrical Power & Energy Systems. Advising & Grants: Supervised Samuel Obi’s PhD on grid-connected doubly-fed wind generators. Collaborated on projects such as the 'Lingusitics Course' (2020) via Northumbria's research partnerships.
Jan M. Schellekens is a part-time Assistant Professor in the Electromechanics and Power Electronics group at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e). Concurrently, he works as a power electronics specialist at Applied Micro Electronics (AME) B.V., focusing on bridging academic research with industrial applications. Academic Background: Bachelor's in Electrical Engineering (2002) from Fontys University of Applied Sciences Master's in Electrical Engineering (2007) from Eindhoven University of Technology His research expertise spans power electronics topologies, modulation strategies, and control techniques for isolated converters and motor drive systems. Earlier work during his PhD involved high-precision power amplifiers for lithographic and medical systems, including the development of a nanometer-accurate liquid-cooled servo amplifier at ASML. Current projects emphasize enabling technologies for the global energy transition. Recent publications highlight advancements in zero-voltage switching, resonant converters, and torque control optimization, with a focus on enhancing power density and energy efficiency. Collaborations include industry partnerships with ASML and Applied Micro Electronics, alongside invited talks at academic events like the ECPE Online Tutorial on High-Precision Power Electronics (2021). Teaching & Supervision: Schellekens lectures on motor drive systems and supervises graduate and PhD students at TU/e. His educational contributions include courses on linear/planar motors for high-precision systems (since 2013), rotary permanent magnet machines (since 2015), and power electronics design (since 2016).
Justin Radu Bojoi is a Full Professor at the Department of Energy (DENERG) within Politecnico di Torino. He serves as Coordinator of the Interdepartmental Center PEIC (Power Electronics Innovation Center) and Scientific Advisor for the Partnership Agreement with MARELLI. Research Interests: Electrical Machines, Power Electronics, Renewable Energy Integration, Transportation Electrification, and Grid Stabilization. His work focuses on high-efficiency electrical drives, eMobility power electronics, and renewable energy systems. Article Trends: Recent publications emphasize virtual synchronous machine technologies, GaN/SiC wide bandgap devices, modular control systems for electric vehicles, and advanced inverter designs for fuel cell and renewable energy applications. Scientific Awards: 2024 IEEE Industry Applications Society Third Prize Paper Award 2024 Energy Conversion Congress First Prize 2022 IEEE Industry Applications Third Prize 2019 Nagamori Award 2016 ICEM Brian Chalmers Award 2005 IPEC First Prize Advising & Grants: Supervises 15+ PhD students in electrical drives and power electronics. Leads EU, international, and industrial research projects including HiEFFICIENT , TEAMING , and ROCKET , with commercial collaborations at VOLVO CARS, Dana-TM4, and MARELLI.
Prof. Marc Hiller is a Professor of Power Electronic Systems at Karlsruhe Institute of Technology (KIT) within the Electrical Engineering Institute (ETI). He leads the Power Electronic Systems (LES) professorship, focusing on advanced converter topologies, power semiconductor characterization, and energy storage integration. His research spans topics such as high-efficiency traction drives, solid-state transformers, and grid-integrated renewable energy systems. Education & Professional Background Bachelor's and Master's in Electrical Engineering from TU Darmstadt (1993–1998) Doctorate at University of the Federal Armed Forces Munich (1999–2004), focusing on power converters for switched reluctance machines Senior roles at Siemens AG (1999–2015), including traction converter development and industrial converter project leadership Joined KIT as Full Professor in 2015 Research Interests Prof. Hiller’s work emphasizes cutting-edge power electronics applications, including: Wide-bandgap semiconductor modeling (SiC/GaN) High-efficiency energy conversion systems Modular multiport solid-state transformers Hybrid energy storage optimization Dynamic control strategies for electric drives Academic Leadership & Projects Program Director of the Master’s program Energy Engineering and Management at HECTOR School since 2018 Topic Chair for EPE ECCE Europe (since 2017) Deputy Spokesperson for Cluster 4 of the Copernicus Project ENSURE (since 2016) Labs & Teams His research group is based at KIT’s ETI institute across three campuses, collaborating on advanced power electronics hardware prototypes and grid emulation systems.
Saverio Bolognani is a Research Fellow at the Massachusetts Institute of Technology (MIT), focusing on advanced control systems for electric drives and power systems. His work bridges graphical models, Bayesian networks, and sensorless control techniques for synchronous and induction motors. Current affiliation: MIT, USA Past affiliation: Department of Information Engineering, University of Padua Research interests include: Model Predictive Control for electric drives Sensorless and self-sensing motor control Microgrid topology identification Machine learning applications in power systems His publications reveal a focus on optimization algorithms for electric vehicles, reliability of electrified transportation systems, and real-time control strategies using Kalman filters and digital twins. Key subfields include deadbeat control, high-frequency signal injection, and torque ripple minimization.
Assoc. Prof. Dr. Emrah ZERDALI is an Associate Professor at Ege University's Department of Electrical and Electronics Engineering (Faculty of Engineering) and concurrently serves as a Visiting Professor at the University of Nottingham's Power Electronics and Machines Center. His expertise lies in electrical machines and drives, model predictive control, fault-tolerant systems, and sensorless control techniques. He holds a BS from Pamukkale University (2009) and MS/PhD degrees from Niğde Ömer Halisdemir University (2011/2016). Zerdali's research focuses on advanced control strategies for electrical drives, including predictive torque control, Kalman filter-based state estimation, and optimization of energy conversion systems. His work emphasizes improving efficiency, reliability, and real-time performance in applications like electric vehicles and renewable energy systems. Over 55+ publications demonstrate contributions to fields such as sensorless motor control, algorithm optimization, and power electronics integration. His collaborative efforts span international partnerships and interdisciplinary projects in power systems, with a strong emphasis on bridging theoretical advancements with practical real-world implementations. Zerdali also contributes to advancing educational methods in electrical engineering through his academic roles.
Lu Wang is an Assistant Professor (Research) at the Centre for E-Mobility and Clean Growth. Their research focuses on high-speed electrical motor drives, power electronics, and advanced control strategies for brushless DC and permanent magnet synchronous motors. Key areas include commutation optimization, harmonic suppression, and sensorless control systems. Wang has contributed to IEEE Transactions and international conferences, with a strong emphasis on practical applications in e-mobility and clean energy technologies. Research interests span High-Speed Motor Systems Brushless DC Drive Optimization PWM Control Strategies Current Harmonic Suppression Techniques Flux Switching Motor Design Sensorless Motor Control Recent publications emphasize advancements in PWM schemes for high-speed drives, harmonic analysis in dual three-phase PMSMs, and efficiency optimization in synchronous reluctance motors. Wang’s work often addresses challenges in commutation errors, voltage ripple reduction, and adaptive control methods to enhance motor performance and reduce noise. No scientific awards were explicitly mentioned in the provided text. Advising & Grants: No advising roles or grant details were provided in the source text. Affiliated with the Centre for E-Mobility and Clean Growth, contributing to research in high-efficiency motor systems and clean energy applications.
Lazar Alexandru is an Associate Professor at the Technical University of Iasi, specializing in control systems and electrical engineering. His research focuses on predictive control, model-free algorithms, and their applications in automotive systems, electric machines, and robotics. He has published extensively on topics such as motor control, vehicle platooning, and industrial automation. His work emphasizes practical implementation and simulation using tools like MATLAB and LabVIEW. Research interests include advanced control strategies for electric drives, nonlinear systems, and data-driven methods. His contributions span theoretical development and experimental validation, with a particular emphasis on automotive and aerospace applications. His articles explore predictive current control, model-free adaptive systems, and real-time control architectures. Despite his prolific output, no awards or grants are explicitly mentioned in the text. Advising details are also unavailable, though his work suggests involvement in graduate research projects.
Dr. Jeff Moscrop is a Senior Lecturer at the School of Electrical, Computer and Telecommunications Engineering at the University of Wollongong, Australia. He has been with the university since completing his undergraduate and doctoral studies there in 1998 and 2008 respectively. Dr. Moscrop received his B.E. (Hons.) and Ph.D. degrees from the University of Wollongong in 1998 and 2008. His academic journey at UOW has seen him progress to his current position as Senior Lecturer since 2022. Dr. Moscrop's research focuses on several key areas within electrical engineering and power systems. His primary interests include: Fault Current Limiter technologies Applications of high temperature superconducting technology in the power industry Linear electric motors (including linear brushless servo-motors, linear induction motors and linear reluctance motors) Precision control in industrial machine-tools and robotic systems Analysis of Dr. Moscrop's publication record from 2009-2021 reveals a strong focus on fault current limiters, particularly saturated core designs, and their applications in power systems. His work spans theoretical modeling, experimental validation, and practical implementation of these technologies. A significant portion of his research addresses the challenges of voltage unbalance in three-phase induction motors, with recent publications (2018-2021) focusing on derating mechanisms and loss analysis. His earlier work (2009-2015) established foundational research in saturated core fault current limiters, including the development of analytical models and testing facilities. Dr. Moscrop has been actively involved in securing research funding, generating over $3 million in cash income for the University of Wollongong through industry contracts and competitive government grants. His research group became part of the Australian Power Quality and Reliability Centre in 2014. Dr. Moscrop has established a dedicated research facility for Fault Current Limiter testing at the University of Wollongong, including Australia's first dedicated FCL testing facility capable of testing small and medium scale designs at voltages up to 1 kV. In 2009, he coordinated the first high-power fault tests of a Saturated Core FCL in Australia at Ausgrid's Lane Cove Testing Station.
