جست‌وجوی استاد و پژوهشگر

Drazen Dujicمشاهده پروفایل

دانشیار

• Power Electronics
• Medium-Voltage Systems
• Electrical Energy Conversion
• +۳ مورد دیگر

Drazen Dujic is an Associate Professor and Head of the Power Electronics Laboratory at École Polytechnique Fédérale de Lausanne (EPFL). He holds a PhD from Liverpool John Moores University (2008) and prior industry experience at ABB Switzerland Ltd (2009–2014). His research focuses on high-power electronic systems and medium-voltage applications, including energy conversion, storage, and renewable integration. He has authored over 200 publications and 22 patents. Education: PhD in Electrical Engineering (Liverpool John Moores University, 2006–2008), MSc and Dipl.Ing. in Power Electronics (University of Novi Sad, Serbia, 1996–2005). Awards: Istvan Nagy Award (2021), EPE Outstanding Service Award (2018), Isao Takahashi Power Electronics Award (2014). Teaching: Courses include Power Electronics, Industrial Electronics, and Renewable Energy Applications. PhD Supervision: Current advisees include Amin Darvishzadeh, Max Dupont, and others; past students include Miodrag Basic and Daniel Biner. His research emphasizes medium-voltage systems, resonant converters, and grid integration technologies. Key projects include advanced DC power distribution networks and high-efficiency MVDC converters. He actively contributes to IEEE PELS committees and serves as Director of the Doctoral Program in Energy at EPFL.

• Machine Learning
• Prediction
• Data Analysis and Visualization
• +۷ مورد دیگر

Eugenio Francisco Sánchez Úbeda is an Associate Professor at the College of Engineering, Comillas Pontifical University, and a researcher at the Technological Research Institute (IIT). He has been affiliated with the institution since 1991 and teaches Statistics, Machine Learning, and Data Analysis at ICAI. His academic and research work spans energy systems, healthcare analytics, and machine learning applications. Education: PhD in Industrial Engineering, Comillas Pontifical University, 1999 Degree in Industrial Engineering (Electronics), Comillas Pontifical University, 1991 His research interests include Machine Learning, Prediction, Data Analysis and Visualization, Nonlinear Statistical Models, and Deep Learning, with a strong focus on energy demand forecasting and probabilistic modeling. He has led numerous research projects in collaboration with major European companies such as Endesa, Enel, and Airbus. Recent publications highlight his work in energy efficiency, healthcare monitoring using wearable devices, microgrid optimization, and pandemic-related energy demand shifts. His research integrates advanced machine learning techniques with real-world applications in energy and public health. Scientific Awards and Recognition: Director of work awarded 'Premio Iberdrola al mejor Trabajo Fin de Master 2020-21' Director of work awarded 'Premio Management Solutions al mejor Proyecto Fin de Carrera 2017-18' He has advised multiple PhD students and serves on thesis committees. He is also an active reviewer for journals such as Energy Economics and Energy . His leadership extends to organizing scientific workshops like the JOSITE series and contributing to funded research projects including those under Horizon 2020 and the Inter-American Development Bank. He has delivered invited seminars on data mining, genetic algorithms, and MATLAB visualization at Comillas and other institutions, and has participated in over 100 research projects in energy and data science.

Dirk Jordanمشاهده پروفایل

پژوهشگر

• Photovoltaics
• Renewable Energy Engineering
• Degradation Mechanisms
• +۴ مورد دیگر

Dirk Jordan is a Researcher VI at the National Renewable Energy Laboratory (NREL) within the Materials Science Photovoltaics Research Topic . His work focuses on photovoltaic system reliability , degradation mechanisms , and advanced statistical analysis for energy applications. Education: PhD in Physics, Arizona State University Master in Physics, Arizona State University Bachelor in Physics, Heidelberg University of Education Six Sigma Black Belt, Motorola Research Interests include AI-driven machine learning for energy systems, extreme weather resilience , performance loss in solar infrastructure, and big data analytics applied to photovoltaics. His recent work emphasizes embedded sensors and multivariate analysis to optimize PV longevity. Research Trends: Recent publications highlight degradation rate analysis (2023), reliability in terawatt-scale systems (2022), and large-scale field data interpretation (2020-2016). Key themes include climate adaptation , quality control , and material science for photovoltaics. Scientific Recognition: 2023: NREL Distinguished Member of Research Staff 2018, 2014, 2005: NREL President's Award 2005: Scientific American Top 50 & Nanotech Briefs Top 50 Collaborates with cross-functional teams on photovoltaic module testing , weather resilience , and energy system validation . Mentions over 150 total publications with peak activity in 2023-2021.

• Microgrids
• Smart Grids
• Renewable Energy Integration
• +۳ مورد دیگر

Dr. Pedro Palacín Farré is a Professor in the Department of Industrial Engineering at the Ramon Llull University's IQS School of Engineering. With a career spanning academia and public administration, he has held leadership roles such as General Director of Energy, Mines and Industrial Safety of the Generalitat of Catalonia (2013-2020) and Dean of the Official College of Industrial Engineers of Catalonia (COEIC) (2017). His research focuses on Microgrids, Smart Grids, renewable energy integration, and electricity sector regulation. Education: Electrical Industrial Engineer (1992), Master in Business Management (1991), Diploma in Management Development (1999), Master in Occupational Risk Prevention (2003), Doctor in Economics and Business (2005). His work emphasizes the stability analysis of microgrids using advanced techniques like modal analysis and impedance-based methods, alongside practical applications in industrial automation protocols (Profibus/Profinet). He contributes to multidisciplinary training programs at IQS, including the Degree in Industrial Technology Engineering and Master in Industrial Engineering. His research group, GEPI (Industrial Products Engineering Group), specializes in Additive Manufacturing, Reverse Engineering, and Mechanical Characterization of Materials. Collaborations span institutions like the Catalan Energy Institute (ICAEN) and Energy Research Institute Foundation of Catalonia (IREC).

Yeonho Jeongمشاهده پروفایل

استادیار

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

Yeonho Jeong is an Assistant Professor in the Department of Electrical, Computer, and Biomedical Engineering at the University of Rhode Island and leads the URI Power Electronics Lab . His research focuses on high-performance power converters for electric transports, AI-based design tools for power electronics, wireless power transfer, and battery self-heating. Education: Ph.D. and M.S. in Electrical Engineering from KAIST (2018, 2014) Recent research trends involve machine learning-aided power electronics design , hybrid UAV energy systems , and high-efficiency LLC resonant converters . Notable funded projects include grants from the Office of Naval Research ($500,000) and USAID ($500,000). IEEE Senior Member (2023) DOD SMART Scholarship recipient (2025) Dean’s Fellowships (2024) His lab actively advises Ph.D. students like Xueshen Zhang and Chang-Seok Kim , with recent expansions in 2025 welcoming new Ph.D., visiting, and undergraduate researchers.

• Transcranial Magnetic Stimulation
• Power Electronics
• Neural Stimulation
• +۵ مورد دیگر

Stefan M Goetz serves as an Assistant Professor in both Psychiatry & Behavioral Sciences and Neurosurgery at Duke University's School of Medicine, and is a Faculty Network Member of the Duke Institute for Brain Sciences. His unique interdisciplinary career bridges engineering and neuroscience, with significant contributions in power electronics and transcranial magnetic stimulation (TMS) technology. Dr. Goetz's research interests center on two interconnected domains: advanced power electronics systems (including battery management, power converters, and electric vehicle technology) and neural stimulation devices (particularly TMS applications). His work demonstrates how engineering innovations can directly address challenges in neuroscience and medical applications. His educational background includes a Ph.D. from Technical University of Munich, School of Medicine (Germany) completed in 2012. His extensive publication record shows remarkable productivity across both IEEE power electronics journals and neuroscience/medical journals, with numerous high-impact papers published through 2025. The research trends reveal a consistent focus on improving the efficiency, reliability, and functionality of power conversion systems while simultaneously advancing neural stimulation technology. His work on TMS devices specifically addresses challenges like acoustic noise reduction, improved targeting, and enhanced stimulation capabilities. Dr. Goetz's research program demonstrates a unique synergy between power electronics engineering and neuroscience applications, particularly in developing advanced neural stimulation devices that require sophisticated power management and conversion techniques. His dual appointment structure at Duke University reflects the institution's recognition of the value in this interdisciplinary approach to medical device innovation.

Jan Dimon Bendtsenمشاهده پروفایل

دانشیار

• Control Systems Engineering
• Predictive Control
• Smart Grid
• +۷ مورد دیگر

Jan Dimon Bendtsen is an Associate Professor in the Department of Electronic Systems at Aalborg University's Technical Faculty of IT and Design. He is affiliated with the Automation & Control Green Lab and maintains an active research profile with 222 publications and 26 completed or ongoing projects as of 2025. His research spans several interconnected domains in control engineering and energy systems. Dr. Bendtsen's primary expertise lies in Control Systems Engineering (100% fingerprint match), with significant contributions to Smart Grid Engineering (93%), Heat Pump Engineering (61%), and DC Microgrid Engineering (51%). His work bridges theoretical control methods with practical applications in energy systems, membrane technology, and industrial processes. Analysis of his recent publications reveals a strong trend toward sustainable energy solutions, with particular focus on integrating renewable energy sources into existing infrastructure. His work connects control theory with practical applications in power systems, water distribution, and thermal management, demonstrating how theoretical advances can solve real-world engineering challenges in the energy transition. Dr. Bendtsen actively supervises PhD students across multiple projects including anomaly detection in Power-to-X systems, optimal control for refrigeration compressors, and DC microgrid development. He has hosted visiting researchers and contributed to public discourse through media appearances, including discussions on robotics and job creation in Denmark. His laboratory work includes the Automation & Control Green Lab, where research focuses on practical implementations of control systems for sustainable energy solutions. Current projects address membrane fouling characterization, integration of large-scale heat pumps, and advanced control strategies for renewable energy integration.

• Power Systems
• Smart Grids
• Voltage Stability
• +۳ مورد دیگر

Dr. Saikat Chakrabarti is an electrical engineering researcher affiliated with Queensland University of Technology and associated with the School of Electrical Engineering & Robotics under the Faculty of Engineering . His work focuses on power systems , smart grids , and voltage stability , with significant contributions to PMU integration , microgrid control , and distributed generation . Using techniques like binary particle swarm optimization and WLS state estimation , he advanced grid observability and reliability-driven network reconfiguration . Key Research Areas : Power system state estimation, PMU current phasor measurements, voltage stability monitoring with AI, smart grid technologies Collaborations : Gerard Ledwich, Arindam Ghosh, Elias Kyriakides, Vladimir Terzija His publications from 2004–2013 demonstrate sustained expertise in renewable energy integration , grid-connected hybrid systems , and advanced measurement technologies . While no formal awards or students are mentioned in the provided data, his work remains foundational for modern smart grid solutions and power system optimization research.

Nurcin Celikمشاهده پروفایل

استاد

• Machine Learning
• Dynamic Data-Driven Applications Systems
• Smart Grids
• +۳ مورد دیگر

Nurcin Celik is a Professor in the Department of Industrial Engineering at the University of Miami's College of Engineering. Their research focuses on integrating machine learning with dynamic systems for applications in smart grids, urban air mobility, and advanced manufacturing. University of Miami, College of Engineering Industrial Engineering Department Research interests include: Dynamic Data Driven Applications Systems (DDDAS) Deep reinforcement learning for network slicing Computer vision in surgical skill assessment Resilience modeling for environmental systems Machine learning applications in energy systems Recent publications highlight: Smart grid resource allocation using deep learning Generative AI for disaster evacuation planning Microgrid optimization with particle swarm algorithms DDDAS frameworks for 5G/6G network management Contamination prediction in recycling systems No scientific awards or students information were found in the provided text.

Jan Martin Zepterمشاهده پروفایل

پژوهشگر ارشد

• Distributed Energy Resources
• Electric Vehicles
• Battery Energy Storage
• +۶ مورد دیگر

Jan Martin Zepter is a Postdoctoral Researcher at DTU's Department of Wind and Energy Systems, specializing in distributed energy resource modeling with emphasis on electric vehicle-grid integration and renewable energy systems. His work directly supports European decarbonization initiatives through projects like EV4EU and INSULAE. His academic journey includes: Ph.D. in Wind and Energy Systems, Technical University of Denmark (2019-2023) M.Sc. in Sustainable Energy Systems, Norwegian University of Science and Technology (2016-2019) Dual M.Sc. in Industrial Engineering (Electrical Engineering focus), Technical University of Berlin (2016-2019) B.Sc. in Industrial Engineering, Technical University of Berlin (2013-2017) Dr. Zepter's research bridges technical and economic domains, developing advanced models for virtual power plants , degradation-aware battery operation , and local flexibility markets . His fingerprint reveals dominant expertise in Electric Vehicle Engineering (100%), Energy Engineering (52%), and Battery Systems (46%), with growing contributions to DC Microgrids and Photovoltaics integration. He pioneers methodologies combining receding horizon optimization with real-world market constraints to enable high renewable penetration. His 15 most recent publications (2024-2025) demonstrate three critical trends: (1) Techno-economic analysis of PV-powered EV charging infrastructure, (2) Degradation-cost integration in battery market participation, and (3) Local flexibility market designs for distribution networks. These works establish novel frameworks for consumer-centric energy markets while addressing grid stability challenges through distributed resources. As an active supervisor, Dr. Zepter guides four PhD candidates—D. M. Santos (degradation-aware V2G), M. Ledro (battery-hybrid systems), A. Malkova (EV-powered plants), and X. Cao (EV management)—across European projects with combined funding exceeding €15M. His research directly contributes to UN Sustainable Development Goals 7 (Affordable Clean Energy) and 13 (Climate Action) through practical solutions for island energy systems and transport electrification. Based at DTU's Wind and Energy Systems department, he collaborates with industry partners on real-world demonstrations including Bornholm Island's virtual power plant and Madeira's replication initiatives, focusing on scalable solutions for renewable integration in constrained grids.

• Battery Reliability Engineering
• Supercapacitor Aging Analysis
• Lithium-ion Battery Modeling
• +۳ مورد دیگر

Jean-Michel VINASSA is a Professor at the University of Bordeaux within the Faculty of Sciences and Electrical Engineering Department . He leads research in the RELIABILITY group under the REMI and RESS teams at IMS Bordeaux, focusing on energy storage reliability for transportation applications. Institution: University of Bordeaux Research Unit: IMS Bordeaux (Institut de Mécanique et d'Ingénierie de Bordeaux) Research Group: RELIABILITY Teams: REMI (Reliability of Electronic and Mechatronic Systems), RESS (Reliability of Energy Storage Systems) His research spans battery and supercapacitor reliability engineering , particularly lithium-ion battery aging mechanisms , supercapacitor degradation modeling , and thermal management systems for electric vehicles. He specializes in impedance spectroscopy , state-of-health estimation , and accelerated aging testing methodologies. His work bridges fundamental electrochemistry with practical automotive applications, addressing critical challenges in electric vehicle power systems. Analysis of his 50+ publications (2007-2023) reveals a consistent focus on energy storage reliability , with recent work emphasizing fast-charging impacts , multi-stress aging interactions , and real-time diagnostics . His research combines experimental validation with advanced modeling techniques including fractional calculus and neural networks for degradation prediction. Key collaborators include Olivier Briat, Akram Eddahech, and Ronan German, with publications appearing in IEEE Transactions , Journal of Power Sources , and Microelectronics Reliability . His work has significant industrial relevance, particularly for electric vehicle manufacturers and energy storage developers. Professor VINASSA's research program includes patented state-of-health evaluation methods and extensive work on hybrid energy storage systems for microgrids. His team maintains strong industry partnerships with automotive and electronics companies, focusing on translating laboratory findings into real-world reliability solutions.

• Power Systems
• Smart Grids
• Renewable Energy
• +۳ مورد دیگر

Yasin Kabalcı is a researcher at Nevşehir Hacı Bektaş Veli University , focusing on power systems , smart grids , and renewable energy integration . His work addresses critical challenges in power quality , signal processing , and communication systems for energy networks. A co-author of multiple academic publications, he explores topics like harmonic estimation , photovoltaic converters , and low-cost metering solutions . Research Themes : Power systems, smart grids, IoT in energy, harmonic analysis, renewable energy integration, MPPT algorithms. Key Contributions : Development of optimization algorithms (DSA, ABC, PSO), wireless monitoring systems, and smart metering infrastructures. Publications span smart grid architecture, multi-channel communication for renewables, and noise-insensitive harmonic estimation. His collaborative work with Ersan Kabalcı and international experts highlights interdisciplinary approaches to energy systems.

Mohamad Azizمشاهده پروفایل

پژوهشگر ارشد

• Game Theory
• Mathematical Modeling
• Optimization
• +۳ مورد دیگر

Mohamad Aziz is a Research Fellow at Polytechnique Montreal within the Department of Mathematics and Industrial Engineering, currently conducting postdoctoral research under Antoine Lesage-Landry and Hanane Dagdougui since February 2025. His academic background includes: Doctorate in Game Theory Applied to Energy Systems (2016-2023) at Polytechnique Montréal supervised by Issmail El Hallaoui, Georges Zaccour, and Hanane Dagdougui Master's in Mean Field Control of CDMA Wireless Systems (2011-2013) at McGill University supervised by Peter E. Caines Research Professional position at McGill University (2013-2015) His research centers on game-theoretic modeling of energy systems, with expertise in mathematical optimization, smart grid dynamics, and mean field game theory applications for residential microgrids. Key contributions involve computational frameworks for load aggregation, virtual storage systems, and demand response mechanisms that enhance grid flexibility through strategic user interactions. Recent publications (2022-2023) demonstrate consistent focus on mean field game theory implementations for residential energy communities, addressing power optimization challenges through decentralized control architectures. The work bridges theoretical game models with practical smart grid applications, emphasizing computational tractability for real-world deployment. His scientific recognition includes: NSERC Scholarship No information is available regarding student advisement or research grant management. Similarly, details about laboratory facilities or research team structures were not documented in the source material.

Adrian Pugsleyمشاهده پروفایل

مدرس

• Renewable Energy
• Solar Energy
• Building Integrated Energy Systems
• +۷ مورد دیگر

Dr. Adrian Pugsley is a Lecturer in Electrical & Energy Engineering at the Belfast School of Architecture and the Built Environment , Ulster University. His expertise lies in Building Integrated Renewable Energy Systems , with a focus on photovoltaic-thermal (PV/T) technology, solar thermal systems, and energy storage solutions. Adrian's academic qualifications include a B.Eng in Electroacoustics (2000), an MSc in Renewable Energy and Energy Management (2013, with distinction and McBride Prize), and a PhD in Building Integrated Solar Collectors (2017). Key research areas include Phase Change Heat Transfer , Off-grid Energy Systems , Solar Desalination , and Nanocomposite Solar Water Heaters . He actively contributes to UN Sustainable Development Goals through projects like SolaFin2Go and SolaNetwork , which address rural electrification in sub-Saharan Africa and building energy efficiency. Adrian has received the McBride Prize (2013) and collaborates with industrial partners such as Unilever and Network Rail . A dedicated educator, he supervises student projects, lectures on Solar Energy and Building Acoustics , and engages in secondary school outreach to promote renewable energy courses. His work combines experimental testing , prototyping , and theoretical analysis , with recent projects involving Switchable Insulation Panels and Zero Emission Climate Control Systems . Adrian also serves as a technical reviewer for journals like Renewable Energy , ensuring quality in academic discourse.

• Power Electronics
• Electric Power Systems
• Control Systems
• +۳ مورد دیگر

Aurelio García Cerrada is a Professor at the Department of Electronics, Automation and Communications within the Higher Technical School of Engineering (ICAI) at Comillas Pontifical University . With over 35 years of teaching experience, he has contributed extensively to power systems, particularly in power electronics and control applications. Academic Background Ph.D. in Industrial Engineering, University of Birmingham, United Kingdom (1991) Industrial Engineer, Polytechnic University of Madrid, Spain (1986) Research Focus Aurelio’s work spans power electronics applications in energy generation, transmission, and distribution, with a focus on control systems for power electronic devices in AC/DC grids. His publications highlight advancements in VSC-HVDC systems, microgrid stability, and harmonic suppression technologies. Scientific Awards and Accreditations Sexenio Campo certifications (6.2, 0, 6.2, 6.2, 6.2) for academic excellence (2015-2020, 2008-2013, 2009-2014, 1995-2000, 2001-2007) ACAP/ANECA certifications (2005, 2004) for university teaching Professional Contributions He has led 12 doctoral theses and collaborated on research projects with industry and public administrations, including Spain’s National R&D Plan. His work emphasizes practical applications of power electronics in renewable energy integration and grid resilience.