جست‌وجوی استاد و پژوهشگر

• Solar Energy
• Photovoltaics
• Renewable Electricity
• +۴ مورد دیگر

Dr. Sara Mirbagheri Golroodbari serves as an Assistant Professor in the Energy & Resources department at Utrecht University's Copernicus Institute of Sustainable Development, Faculty of Geosciences. She specializes in the integration of photovoltaic solar energy systems, with particular expertise in offshore and floating solar technologies. Her research interests span multiple dimensions of solar energy systems, including solar PV integration feasibility studies, local agrivoltaic systems in the Netherlands, responsible deployment of floating PV systems (both onshore and offshore), land restoration potential through solar installations, offshore floating PV data analysis, offshore solar energy transmission methods, solar energy forecasting using advanced techniques like All Sky Imager and machine learning algorithms, and big data analysis of large-scale PV systems. Dr. Golroodbari's publication record shows a consistent focus on solar energy technologies, particularly floating photovoltaic systems, with numerous high-impact publications in leading energy journals. Her recent work has examined global offshore floating photovoltaics system assessment, enhanced water cooling models for offshore PV, and advanced solar forecasting techniques incorporating artificial intelligence. Graduated with distinction (2013) Grand Cru 2019 award (November 13, 2019) Scholarship awarded (October 2019) Scholarship awarded (October 2018) She actively contributes to international collaborations as a member of the ETIP PV solar integration working group and IEA_PVPS task 13. Dr. Golroodbari teaches courses including 'Introduction to Energy and Material Analysis' and 'Photovoltaics: basics and integration' within the Energy Science and Environmental Sciences programs.

• Power Electronics
• Pulse Width Modulation (PWM) Techniques
• Multilevel Converters
• +۵ مورد دیگر

Ahmed Ismail Mohamed Ali is an Assistant Professor at the Department of Electrical Engineering , Faculty of Engineering , South Valley University , Egypt, and a Post-Doctoral Research Fellow at Aalto University , Finland. He holds a B.Sc. and M.Sc. in Electrical Engineering from South Valley University (2013, 2017) and a Ph.D. in Electrical Engineering from Nagoya Institute of Technology , Japan (2022). Education: B.Sc. in Electrical Engineering, South Valley University (2013) M.Sc. in Electrical Engineering, South Valley University (2017) Ph.D. in Electrical Engineering, Nagoya Institute of Technology (2022) Research Interests include power electronics, specifically PWM techniques for bidirectional AC/DC converters , single-phase and three-phase multilevel converters , modular multilevel converters (MMCs) , isolated grid-tied differentially based DC-AC inverters , EV battery chargers , and renewable energy applications . His work focuses on improving efficiency, power quality, and complexity in renewable energy systems and electric vehicle charging infrastructure. Publications (15 most recent) span 2018–2025, with a strong emphasis on photovoltaic (PV) inverters , multilevel converter topologies , model predictive control (MPC) , and leakage current minimization . Recent work (2024–2025) explores advanced modulation strategies and grid-tied renewable energy integration. Laboratory Affiliation: He is part of the Computational Electromechanics research group at Aalto University, contributing to postdoctoral research in power electronics and renewable energy systems.

• Power Electronics
• Electrical Engineering
• Model Predictive Control (MPC)
• +۴ مورد دیگر

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.

• Machine Learning
• Artificial Intelligence
• Reinforcement Learning
• +۴ مورد دیگر

Michail G. Lagoudakis is a Professor at the School of Electrical and Computer Engineering (ECE) of the Technical University of Crete (TUC), Greece. He leads the Intelligent Systems Laboratory (InteLLigence), focusing on machine learning, robotics, and decision-making under uncertainty. His academic journey includes a Ph.D. from Duke University (2003) and prior roles at Georgia Tech and AT&T Labs. Education: Ph.D. in Computer Science, Duke University, 2003 M.Sc. in Computer Science, University of Louisiana, 1998 Diploma in Computer Engineering and Informatics, University of Patras, 1995 Research Interests: His work spans reinforcement learning, multi-agent systems, robotics (team coordination, probabilistic methods), and complex systems. Notable projects include the EURECA-PRO university network, RoboCup Kouretes team, and algorithmic advancements like LSPI. Teaching: Courses include Artificial Intelligence, Machine Learning, and Robotics. His teaching philosophy emphasizes hands-on learning with tools like ROS and NAO robots. Projects & Collaborations: Current projects include aerial-ground robot collaboration, dialogue management systems, and solar energy optimization. Earlier work includes auction-based coordination and DPLL solver enhancements (RLSAT). Lab & Teams: The Intelligent Systems Lab develops autonomous systems, robotic platforms, and learning algorithms. The Kouretes team competes in RoboCup leagues, showcasing adaptive multi-agent strategies.

Haimeng Wuمشاهده پروفایل

استادیار

• Power Electronics
• Renewable Energy Systems
• Electric Vehicles
• +۵ مورد دیگر

Haimeng Wu is an Assistant Professor and Head of the Electrical Power and Control Systems at Northumbria University's Department of Mathematics, Physics, and Electrical Engineering. He leads the EPSRC Centre for Doctoral Training (CDT) in Renewable Energy Northeast Universities (ReNU), a collaborative initiative with Newcastle and Durham Universities. Previously, he was part of Newcastle University's Electrical Power Research Group and served as a guest staff member in their School of Engineering. His research focuses on power electronics, renewable energy systems, wireless power transfer, and condition monitoring of wide bandgap (WBG) power modules. He has secured over £1.2 million in research funding, including grants from Innovate UK and The Royal Society. Wu is also an Associate Editor for IET Power Electronics and actively contributes to conferences like IEEE ECCE Europe and ISEEIE. Education: PhD in Power Electronics, Newcastle University (2012–2016) MSc in Hybrid Renewable Energy Distributed Generation Systems, Zhejiang University (2011) BEng in Electrical Engineering (2008) Research Interests: Design and control of power converters for electric vehicles and renewable energy networks Health monitoring and condition control of WBG power modules Wireless power transfer systems and their integration into IoT and smart energy systems His work aligns with UN Sustainable Development Goals, particularly in affordable and clean energy and industry innovation. Grants and Awards: £208,000 Innovate UK grant for a PV-powered outdoor lighting system (2025–2027) £316,000 Newton International Fellowship for IoT-integrated wireless power transfer (2024–2026) Siemens European Competition in Power Electronics (2018) Fellow of the Higher Education Academy (HEA) Advising and Teaching: Supervises four PhD students, as well as MSc and undergraduate students Develops courses in smart energy systems, renewable energy technologies, and analogue electronics His research has produced over 50 peer-reviewed publications and three patents, emphasizing industry collaboration and innovation.

Maria Jenisha Charles Thanasingh Packiarajمشاهده پروفایل

مدرس

• Renewable Energy Systems
• Power Electronics
• Smart Grids
• +۱۱ مورد دیگر

Maria Jenisha Charles Thanasingh Packiaraj is a Lecturer in Electrical Engineering at the School of Computing, Engineering and Digital Technologies, Teesside University, UK, where she has been serving since October 2022. She leads the Electrical Power Systems module at Level 6 and tutors in Electronic Principles and Microgrid courses, while also supervising undergraduate and postgraduate dissertation projects. Post Graduate Certificate in Learning and Teaching in Higher Education (PgCLTHE), Teesside University (Awarded: 29 Aug 2024) PhD in Power Electronics Applications in Renewable Energy Systems, National Institute of Technology Tiruchirappalli (Awarded: 24 Aug 2019) Master of Engineering in Power Electronics and Drives, Infant Jesus College of Engineering, India (Awarded: 31 May 2014) Bachelor of Engineering in Electrical and Electronics Engineering, PSG College of Technology, India (Awarded: 31 May 2012) Her research spans renewable energy integration , power electronics , microgrids , smart grids , energy storage , and electric vehicle charging . She focuses on advanced control techniques like Fuzzy-PID controllers , unintentional islanding detection , and AI-driven battery management , contributing to sustainable and resilient energy systems. The recent publications highlight a strong trend in grid-connected renewable systems , islanding detection without communication , offshore wind turbine control , and AI-enhanced charging technologies . These works reflect expertise in both theoretical modeling and practical implementation, particularly in power conversion, control algorithms, and system resilience. Dr. Charles Thanasingh Packiaraj is actively involved in research funding and supervision. She serves as Co-Investigator on the Royal Academy of Engineering-funded project AI-Driven Adaptive Fast Charging for Electrical Vehicles – Empowering Skills and Curriculum Development , which also emphasizes education and workforce development. She is open to PhD supervision and collaborative research projects in her domain. Her research contributes to key themes in modern power systems, including decentralized energy , smart control , and sustainable electrification . She collaborates with researchers in power electronics, renewable integration, and intelligent transportation systems, forming part of a dynamic network advancing clean energy technologies.

• Electronic Technology
• Power Electronics
• Spacecraft Power Systems
• +۳ مورد دیگر

Ausias Garrigos Sirvent is a Professor at the Miguel Hernández University of Elche, affiliated with the Department of Materials Science, Optics and Electronic Technology. He actively teaches in the Master's in Industrial Engineering and Master's in Telecommunications Engineering programs, coordinating courses like Industrial Electronics and Multidisciplinary Applications in Telecommunications . Education : Not explicitly mentioned in the text. His research focuses on power electronics for space applications, particularly satellite power systems, solar array regulation, and wide-bandgap semiconductor devices (SiC, GaN). He has contributed to advancements in high-voltage power buses, digital twins for spacecraft systems, and analog maximum power point tracking techniques. Recent publications highlight his work on COTS battery equalizers, SiC-based current limiters, and DC transformer integration for spacecraft. He leads the Space Power and Electronic Systems research group, addressing challenges in power conditioning for deep space missions and nanosatellites. Labs & Teams : Research member of Space Power and Electronic Systems .

SALİH NACARمشاهده پروفایل

مدرس

• Power Electronics
• PV Systems
• Induction Heating
• +۵ مورد دیگر

SALİH NACAR is a Lecturer in the Department of Electrical Engineering at Bandırma Onyedi Eylül University's Faculty of Engineering and Natural Sciences since 2021, and previously held a Lecturer role at Kastamonu University (2011–2021). He currently serves as the Deputy Head of the Department and specializes in power electronics, hydrogen energy systems, and resonant converter technologies. His research focuses on fuzzy logic control, soft switching techniques, and induction heating applications. He has actively contributed to over 11 journal articles and 10 conference papers, with recent work emphasizing hybrid-controlled resonant converters, induction heating systems, and hydrogen production optimization. His academic teaching spans courses in power electronics, electrical engineering fundamentals, and hydrogen energy technologies. Dr. Nacar leads ongoing projects like the design of Class-E resonant inverters and LED drivers, and has advised three master’s theses in advanced power electronics. His research portfolio includes collaborations on digitally controlled DC-DC converters and investigations into resonance-based energy conversion systems for renewable applications. He remains a key figure in advancing energy-efficient power electronics and hydrogen storage solutions.

• Power Electronics
• Energy Conversion Systems
• Electric Vehicles
• +۷ مورد دیگر

Andres Barrado Bautista is a Full Professor in the Department of Electronic Technology at the School of Engineering, Carlos III University of Madrid (UC3M). He leads research within the Electronic Power Systems Group (GSEP), focusing on power electronics, energy conversion, and their applications in aerospace, electric vehicles, and renewable energy systems. His work bridges theoretical modeling and practical implementation, with a strong emphasis on high-efficiency DC-DC converters, fuel cell integration, and smart energy management. PhD in Electrical Engineering (specific date not provided) His research interests center on power electronics for energy systems, including modeling and control of DC-DC converters, fuel cells, batteries, and supercapacitors. He has made significant contributions to the development of advanced converter topologies for photovoltaic systems, electric propulsion in aerospace, and hybrid electric vehicles. His work integrates system-level black-box modeling, small-signal analysis, and real-time digital control, often applied to complex embedded and distributed power architectures. The recent publications (2020–2025) highlight a strong trend in high-performance power converters for space applications (e.g., electrospray thrusters), biomedical devices (e.g., wireless pacemaker charging), and renewable integration. The articles reflect expertise in magnetic component modeling, converter stability, and advanced control techniques, with frequent publication in IEEE Transactions journals. He has supervised numerous theses and leads a wide portfolio of research projects funded by national agencies (AEI, CAM), EU programs, and industry partners such as Airbus, Siemens, CIEMAT, and SENER. Convertidor CC-CC reductor y elevador, método de conversión CC-CC, y planta fotovoltaica que incorpora dicho convertidor (2019) Convertidor y método de conversión bidireccional de corriente continua a corriente continua sin aislamiento galvánico (2019) Active control procedures for the connection of very capacitive loads using SSPCs (2017) Active control procedures for the connection of very capacitive loads using SSPCs (2014) Método y dispositivo de transformación de corriente continua en corriente alterna (2014) Método y sistema de alimentación de una carga constituida por una pluralidad de cargas elementales, en particular de LED (2013) He has secured substantial research funding as principal investigator on projects such as SMARTGREENERGY, ECOSIVE, and several initiatives related to hydrogen-powered drones and space propulsion. He also actively collaborates on projects involving intelligent modular converters, energy storage, and electromagnetic compatibility. His lab, the Electronic Power Systems Group, works on both simulation and experimental validation of power electronics systems, with applications ranging from microsatellites to electric transportation.

• Power Electronics
• Power Converters
• Modular Multilevel Converters
• +۵ مورد دیگر

Dr. Mark Broadmeadow is a faculty member at Queensland University of Technology (QUT) in the School of Electrical Engineering & Robotics within the Faculty of Engineering. He holds a PhD from QUT along with several graduate certificates in academic practice and research commercialisation. His educational background includes: Doctor of Philosophy (Queensland University of Technology) Graduate Certificate in Academic Practice (Queensland University of Technology) Graduate Certificate in Research Commercialisation (Queensland University of Technology) BEng(Hons)(Infomechatronics) (Queensland University of Technology) Dr. Broadmeadow's research focuses on power electronics, particularly in the areas of power converters, modular multilevel converters, battery storage systems, and power quality. His work has significant applications in renewable energy integration, electric vehicles, and power grid stability. He has made notable contributions to the development of advanced control strategies for power electronic systems and has explored innovative approaches to improve efficiency and reliability in power conversion. His publication record shows a consistent progression from fundamental gate driver research to sophisticated battery-integrated converter systems and machine learning applications for battery state estimation. His scientific contributions span various aspects of power engineering, with a particular emphasis on practical implementations and hardware solutions. His research often involves collaboration with industry partners to address real-world challenges in power electronics, as evidenced by his numerous conference papers presented at major power engineering conferences. Dr. Broadmeadow has been actively involved in supervision, with topics including 'Small, high efficiency, low cost appliance UPS.' His laboratory work appears to focus on power hardware implementation, with research involving modular power converters, FPGA-based control systems, and experimental validation of novel power electronic topologies.

• Photovoltaics
• Solar Energy
• Micro and Nanotechnology
• +۵ مورد دیگر

Dr. Hayriye Serra Altinoluk is an Assistant Professor in the Department of Electrical and Electronics Engineering at Muğla Sıtkı Koçman University's Faculty of Engineering. She serves as the Head of the Renewable Energy Resources and Technologies Department, a position she has held since 2019. Her academic career spans over a decade with significant contributions to photovoltaic research and renewable energy technology development. Dr. Altinoluk earned her Bachelor's and Master's degrees from Mersin University's Faculty of Engineering, Department of Electrical and Electronics Engineering (2001-2007). She completed her Doctorate in Micro and Nanotechnology from Middle East Technical University's Institute of Science (2008-2016), focusing on advanced solar cell technologies. Her research primarily centers on photovoltaic systems, with special emphasis on light trapping techniques, surface texturing of solar cells, and energy storage integration. Dr. Altinoluk has pioneered work in micro and nano-hole texturing of silicon solar cells to improve light absorption and energy conversion efficiency. Her recent research has expanded into battery energy storage systems for solar applications and building-integrated photovoltaics, including designing solar-powered houses in the Muğla region. She has also explored biomedical applications of microfabrication techniques, demonstrating the interdisciplinary nature of her work. Analysis of her 15 most recent publications reveals a clear trajectory from fundamental solar cell texturing research toward practical energy system integration. While her earlier work focused on micro and nano-structuring techniques for silicon solar cells, her recent publications increasingly address system-level challenges including battery controllers, energy dispatch optimization, and building-integrated photovoltaic applications. This evolution demonstrates her transition from basic materials research to applied energy systems engineering. Best Paper Award (2017) Best Design Award (2014) Dr. Altinoluk has successfully supervised multiple graduate students, including MUSTAFA LATEEF HASAN-HASAN (2024), AHMED-ABUSNOUBAR (2022), and MOATASEM ABDO MABKHOT-AL (2020). She has secured significant research funding through various projects, including EU-funded initiatives (Cheetah 2014-2017, PhotoNVoltaics 2012-2016), TÜBİTAK projects (2007-2010), and university-supported research (2017-2020). Currently, she serves as Project Supervisor for the "Smart Bee Venom Extraction System" (2023-2025) and as a Project Reviewer for material analysis projects using machine learning (2024-2026). Dr. Altinoluk actively contributes to the academic community through her role on the Institute of Science Advisory Board at Muğla Sıtkı Koçman University and as a thesis defense jury member. She is also involved in the Sustainable Green Campus Commission's Energy and Climate Change Subcommittee, helping guide the university's sustainability initiatives.

• Electrical Engineering
• Automation and Control Systems
• Fractional Calculus Applications
• +۳ مورد دیگر

Isabel Maria Sousa Jesus é uma Professora do Instituto Superior de Engenharia do Porto (ISEP), com uma carreira acadêmica focada em Engenharia Elétrica, Eletrônica e Ciência da Computação. Ela atua como pesquisadora no Grupo de Investigação em Engenharia e Computação Inteligente para a Inovação e o Desenvolvimento e no Laboratório Associado de Sistemas Inteligentes. Seus cargos incluem Diretora do Laboratório de Eletromagnetismo desde 2008 e Membro do Conselho Pedagógico do ISEP. Além disso, é pesquisadora em 20 projetos científicos e gerente técnica do consórcio Machine Intelligence Research Labs (MIR Labs).

• Electrical Engineering
• Analog and Mixed Signal Circuits
• Digital-to-Analog Conversion
• +۶ مورد دیگر

Paolo Stefano Crovetti is an Associate Professor in the Department of Electronics and Telecommunications at Politecnico di Torino. He is a member of the Interdepartmental Center PEIC (Power Electronics Innovation Center) and serves on the Joint Committee for Teaching. His research and teaching focus on cutting-edge areas of electrical engineering, particularly in analog and mixed-signal circuit design for ultra-low power applications and sustainable energy systems. Dr. Crovetti's research spans digital-based analog and mixed signal circuits, digital-to-analog converters, electromagnetic compatibility, and ultra-low power and ultra-low voltage electronics. His work addresses critical challenges in power electronics for Internet of Things applications, photovoltaic systems, and sustainable energy conversion, aligning with UN Sustainable Development Goals for health, sustainable cities, and responsible consumption. His publication record demonstrates consistent innovation in circuit design, particularly in digital-based analog techniques, power optimization for renewable energy systems, and electromagnetic compatibility solutions. Key research themes include ultra-low voltage operational transconductance amplifiers, advanced digital pulse width modulation techniques, and novel approaches to power conversion for sustainable applications. IEICE Symposium Excellent Paper Award (2009) ICECS Best Student Paper Award (2019) IEEE Fellow (2020-) Dr. Crovetti actively supervises seven PhD students working on advanced topics in power electronics and integrated circuit design. He leads multiple significant research projects including MicroBioNIC (2025-2027), NEUROPULS (2023-2027), and ULPIoT (2017-2020), securing substantial funding from national and international sources. His editorial roles include serving as Associate Editor for IEEE Transactions on VLSI Systems and as Guest Editor for Electronics Letters. He is an active member of the Microwave and Optoelectronics Group (MOG) within the Department of Electronics and Telecommunications, contributing to the university's research excellence in advanced electronic systems for power conversion and sustainable energy applications.

• Maximum Power Point Tracking
• Flexible Power Point Tracking
• DC-DC converters
• +۷ مورد دیگر

Sajib Ahmed is a Casual Academic (Part-Time Lecturer) at the University of Technology Sydney (UTS) within the Faculty of Engineering & Information Technology. He is currently pursuing his Doctor of Philosophy (PhD) in Power Electronics at UTS since January 2025. Previously, he worked as a Graduate Research Assistant at the Power Electronics and Renewable Energy Research Laboratory (PEARL) at Universiti Malaya, Kuala Lumpur, Malaysia from 2021 to 2024. His educational background includes: Doctor of Philosophy (Power Electronics), University of Technology Sydney, Australia (2025-present) Master of Engineering Science (Electrical Engineering), Universiti Malaya, Department of Electrical Engineering, Kuala Lumpur, Malaysia (2021-2024) B.Sc. in Electrical & Electronic Engineering, Chittagong University of Engineering & Technology, Chittagong, Bangladesh (2006-2010) Sajib Ahmed's research focuses on renewable energy systems, particularly solar photovoltaic technology. His work spans Maximum Power Point Tracking (MPPT), Flexible Power Point Tracking (FPPT), DC-DC converters, and grid-connected inverters. His most recent research explores self-resonant transformers and converters, indicating an evolving research trajectory toward innovative power conversion technologies. His publications consistently address challenges in solar power systems, especially under partial shading conditions, demonstrating expertise in optimizing power extraction and grid integration. Analyzing his publication record from 2021-2024 reveals a strong focus on photovoltaic power optimization techniques. His work shows progression from conventional MPPT algorithms to more sophisticated FPPT approaches that address grid support requirements. The research demonstrates both theoretical contributions to control algorithms and practical implementations using simulation and experimental validation. His interdisciplinary work spans electrical engineering fundamentals while addressing real-world grid integration challenges. Sajib Ahmed maintains active professional presence through multiple channels including ORCID (0000-0003-2882-387X), Google Scholar, LinkedIn, and ResearchGate, facilitating academic collaboration and knowledge dissemination in the renewable energy field.

• Electrical Machines and Drives
• Model Predictive Control
• Fault Tolerant Control
• +۵ مورد دیگر

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.