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Giovanni De CarneView profile

Professor

• Power Engineering
• Electrical Power Systems
• Smart Grids
• +3 more

Prof. Giovanni De Carne is a Professor at the Department of Electrical Engineering and Information Technology (ETIT) at the Karlsruhe Institute of Technology (KIT). His research focuses on real-time systems in power engineering, energy storage systems, smart grid technologies, and advanced power electronics. He specializes in developing innovative solutions for grid integration of renewable energy sources, including solid-state transformers, DC microgrids, and hybrid energy storage systems. His work addresses challenges in grid stability, load management, and cybersecurity for modern power systems. De Carne leads research initiatives such as KARA, KITTEN, and EL2.0, which explore digital twins for particle accelerators and sustainable energy management. His contributions include advancements in power hardware-in-the-loop testing, voltage and frequency control strategies, and the application of machine learning in superconductivity. He has published extensively on topics like energy storage optimization, DC fast charging infrastructure for electric vehicles, and fault-tolerant grid operations. Key areas of expertise include: Smart transformer design and grid integration DC/AC converter technologies Real-time system simulation and validation Renewable energy system modeling Grid stability and resilience enhancement His research has been applied to improve grid-edge control, mitigate disturbances in power systems, and optimize energy storage solutions for high-renewable grids. De Carne's work bridges theoretical advancements with practical implementation, contributing to sustainable energy infrastructure and grid modernization efforts.

Haidar SametView profile

Researcher

• Power Systems
• Electrical Engineering
• Renewable Energy
• +4 more

Haidar Samet is a Researcher in the Department of Electrical Engineering at Eindhoven University of Technology, focusing on power systems, electric arc furnaces, and fault detection. He previously held academic roles at Shiraz University, including Professor (2018–2020), Head of Department of Power and Control (2017–2019), Associate Professor (2014–2018), and Assistant Professor (2008–2014). His research bridges electrical engineering fundamentals with practical applications in renewable energy and grid reliability. Research Interests: Electric Arc Furnace Modeling and Optimization Fault Detection in Power Systems and Photovoltaic Systems Grid Protection Mechanisms Renewable Energy Integration and Smart Grid Technologies Power Quality Analysis Publications highlight advancements in arc fault modeling, transformer protection algorithms, and renewable energy system optimization. His work frequently addresses challenges in grid stability, energy efficiency, and predictive maintenance. No scientific awards or grants were explicitly mentioned in the provided materials.

Cristina ArcherView profile

Professor

• Renewable Energy
• Wind Power
• Meteorology
• +3 more

Cristina L. Archer is a Professor and Unidel Howard Cosgrove Career Development Chair in Environment at the University of Delaware. She holds a split appointment between the Department of Geography and Spatial Sciences and the Department of Mechanical Engineering. Her roles include Director of the Center for Research in Wind (CReW) and Faculty Director of the Eco-Entrepreneurship certificate program. She earned her Ph.D. in Civil and Environmental Engineering from Stanford University (2004), an M.S. in Meteorology from San Jose State University (1998), and an M.S. in Civil and Environmental Engineering from Politecnico di Milano (1995). Her research focuses on renewable energy, wind power, meteorology, climate change, air quality, and numerical modeling of atmospheric processes. She leads the Atmosphere and Energy Research Group (AERG), advising numerous PhD students and postdocs. Her work explores wind energy impacts on climate, air quality, and hurricane dynamics, with contributions to wind farm optimization and energy-food nexus studies. Dr. Archer’s research has been published in journals like *Monthly Weather Review*, *Environmental Research Letters*, and *Applied Energy*. She serves on editorial boards for *Meteorological Applications* and *Bulletin of the Atmospheric Science and Technology*. Her lab, CReW, investigates technical, environmental, and policy dimensions of wind energy deployment. Grants & Funding: Extensive support for wind energy research, including studies on offshore wind impacts, hurricane mitigation via turbines, and climate modeling. Labs/Teams: Center for Research in Wind (CReW), Atmosphere and Energy Research Group (AERG). Advising: Mentored over 20 graduate students and postdocs since 2012, with notable contributions to wind farm modeling, air quality, and energy policy.

Ezra Bar-ZivView profile

Professor

• Advanced Energy Systems
• Waste Valorization
• Coal Combustion
• +4 more

Dr. Ezra Bar-Ziv is a Professor in the Department of Mechanical and Aerospace Engineering at Michigan Technological University (Michigan Tech), where he has served since 2011. Previously, he held leadership roles at Ben-Gurion University, including Director of the Program for Projects in Industry, founder of the Program for High-Tech Retraining, and Chair of the Department of Biotechnology and Environmental Engineering. He also served as Associate Dean for Academic Development and Research at Ben-Gurion University’s College of Engineering Sciences. His expertise spans advanced energy systems, including municipal waste valorization, coal combustion, biomass torrefaction, and pollution reduction. Dr. Bar-Ziv earned his PhD in Chemical Physics from the Weizmann Institute of Science. His research focuses on optimizing energy systems, particularly through biomass conversion and coal-fired power plant efficiency. He has led initiatives such as the largest U.S. torrefaction facility for Portland General Electric and founded three start-up companies focused on waste valorization. His work addresses critical challenges in sustainable energy production and industrial waste utilization. Key research interests include torrefaction kinetics, coal combustion dynamics, and the development of biocoal as a renewable alternative to fossil fuels. His publications analyze biomass processing, coal boiler performance, and emissions reduction strategies. Dr. Bar-Ziv’s professional contributions extend to academic leadership and industry collaboration, reflecting his dual focus on innovation and practical application in energy systems.

Mahmoud Sayed Mahmoud EidView profile

Research Fellow

• Data-driven fault diagnosis
• Electric power trains
• Electromagnetic modeling
• +1 more

Mahmoud Sayed Mahmoud Eid is a PhD Research Fellow in Engineering Sciences at the University of Agder. His research focuses on fault diagnosis in electric powertrains using AI-driven methods. He holds a B.S. in Mechatronics Engineering from Helwan University (2013) and an M.S. in Advanced Mechanical and Robotics Engineering from Ritsumeikan University, Japan (2019). Research Focus: Develops computational models for early fault detection in electric motors and inverters under noisy operational conditions. His methodologies integrate electromagnetic theory with machine learning for industrial applications in transportation and energy systems. Publications: His 6 most recent articles (2022-2025) focus on AI-enhanced diagnostics for power electronics and motor systems, demonstrating consistent innovation in signal processing and classifier design for industrial reliability.

• Fuel Cells
• Batteries
• Electrochemical Energy Storage
• +6 more

Rakel Wreland Lindström serves as Professor of Chemical Engineering at KTH Royal Institute of Technology. She was inaugurated as professor during KTH's 2021 academic ceremony, focusing her research on critical energy storage technologies essential for society's transition from fossil fuels to renewable energy sources. Her research program addresses fundamental challenges in electrochemical energy conversion and storage systems. Professor Lindström specializes in investigating performance limitations and durability issues in polymer electrolyte fuel cells, lithium-ion batteries, and redox flow batteries for both electric vehicle and grid-scale applications. Her work examines how operational parameters including temperature, load/power conditions, and fuel supply affect system performance and lifetime. Methodologically, her research primarily employs electrochemical techniques while integrating other physical and chemical analytical methods. Notably, she has developed innovative approaches combining electrochemical measurements with mass spectrometry and other microscopic techniques to monitor gas evolution during cell operation, providing deeper insights into the complex processes occurring within energy storage devices. Professor Lindström's work directly addresses the critical need for efficient conversion between electrical and chemical energy with minimal losses, contributing to the advancement of sustainable energy systems necessary for global decarbonization efforts across multiple sectors, particularly transportation which has seen significant electrification progress.

Sander NijdamView profile

Associate Professor

• Plasma Physics
• Electrical Discharges
• Atmospheric Physics
• +3 more

Sander Nijdam is an Associate Professor in the Elementary Processes in Gas Discharges (EPG) group at Eindhoven University of Technology (TU/e). He focuses on transient plasma phenomena, including streamers, microwave discharges, and EUV-induced discharges, with applications in both industrial and natural contexts like lightning. His research bridges fundamental physics and practical engineering solutions. Education: MSc in Applied Physics, TU/e (2000) PhD in Experimental Plasma Physics, TU/e (2011) Affiliations: EPG Group Lead Course Instructor (e.g., Electromagnetism and Optics) His research investigates the dynamics of transient discharges, aiming to control and utilize these phenomena. Key projects include plasma-assisted combustion optimization, surface charging diagnostics, and lightning physics. Nijdam’s work contributes to UN Sustainable Development Goals through energy and environmental applications. Research Trends: Recent articles focus on electric field measurements in streamers, plasma-ignition combustion, and advanced diagnostics like E-FISH and Pockels effect. These studies emphasize interdisciplinary methods, combining experiments with numerical simulations. Awards: Noah Hershkowitz Early Career Award (2017) NWO Veni Award (2014) ERC Consolidator Grant (2024) Grants/Projects: Defect-Driven Local Charging (2022–2027) Plasma Power: Plasma Torch Design (2021–2027) PhotoLitho Surface Charging (2020–2027) Labs/Teams: Leads the EPG group, collaborating on plasma diagnostics and combustion projects. Active in media engagements to explain lightning science and plasma technology.

• Renewable Energy
• Energy Systems Integration
• Thermal Engineering
• +3 more

Yashar S. Hajimolana is a researcher specializing in Energy Systems Integration and Thermal Engineering. His work focuses on developing advanced models for decarbonizing industries through innovative energy systems. He contributes to UN Sustainable Development Goals related to clean energy and environmental sustainability. Research interests include hydrogen technology, energy storage systems, and sustainable development strategies. Collaborates internationally on projects involving renewable energy integration and grid stabilization. His publications span topics like hydrogen production, fuel cell design, and energy hub optimization. He actively contributes to academic conferences, including presentations on renewable energy systems in 2024.

• Multifunctional Polymer Composites
• Sustainable Materials Engineering
• Energy Storage/Generation
• +4 more

Emiliano Bilotti is a Professor in Multifunctional and Sustainable Polymer Composites at Imperial College London's Department of Aeronautics within the Faculty of Engineering. He joined Imperial in 2022 after holding academic roles at Queen Mary University of London, including Reader, Senior Lecturer, and Lecturer. His career includes industrial R&D as Research and Technology Manager at Nanoforce Technology (2010–2011). He earned a 'laurea' (MEng equivalent) in Materials Engineering from the University of Naples 'Federico II' (Italy, 2004), followed by a PhD (2009) and postdoc (2009–2010) at Queen Mary University of London, focusing on polymer/clay nanocomposites and smart textiles. His research spans multifunctional polymers, sustainable materials, energy storage, nanotechnology, and advanced composites. He leads a group recruiting PhD students in areas like Green Transport and Environmental Remediation. Teaching responsibilities include AERO50005 Materials 2 , AERO70031 Emerging Technologies for Green Aviation , and AERO70027 Composites Engineering Practice . He is a Fellow of the Higher Education Academy (HEA) and holds a Postgraduate Certificate in Academic Practice. Recent work emphasizes recyclable composites, smart thermoelectric materials, and energy-efficient manufacturing. Over 130 peer-reviewed papers (h-index 47), 5 book chapters, and 6 patents demonstrate his impactful contributions. His lab integrates material synthesis, characterization, and application-driven innovation.

• Machine Systems Engineering
• Hydraulic Systems Innovation
• Fluid Power Systems
• +3 more

Lizhi Shang is an Assistant Professor in the Department of Agricultural & Biological Engineering at Purdue University. His research focuses on Machine Systems Engineering, with an emphasis on hydraulic system innovation, AI-aided design of fluid power components, and advanced computational tribological analysis. He is affiliated with the Maha Fluid Power Research Center, a leading facility for fluid power research. His work integrates experimental and numerical methods to address challenges in hydraulic systems, such as thermal management, cavitation phenomena, and tribological interface performance. He collaborates with interdisciplinary teams to develop compact and efficient fluid power solutions for off-road machinery and aviation systems. Key research themes include axial piston machine optimization, electrohydraulic integration, and sustainable hydraulic technologies. Dr. Shang’s publications span topics like tribology test chamber design, thermal modeling of piston-cylinder interfaces, and cavitation scalability analysis. His research aims to enhance energy efficiency and reliability in fluid power systems across diverse applications.

Zhen LiView profile

Associate Professor

• Power semiconductor devices
• Offshore wind energy systems
• Wide bandgap semiconductors
• +3 more

Zhen Li is Associate Professor at Shandong University's School of Electrical Engineering, specializing in power semiconductor technologies and renewable energy systems. Her research focuses on reliability engineering for offshore wind energy conversion and wide bandgap semiconductor applications. Education: Details not provided in text. Research: Develops fault-tolerant control systems for wind power conversion, PMSM drives, and grid-tied converters. Her work integrates predictive control algorithms with neural network diagnostics to enhance power system resilience. Awards: 2024 IEEE-CIEEC Best Paper Award 2023 Excellence Award in Teaching (Shandong Province) Multiple IEEE conference best paper awards Leadership: Serves on committees for IEEE conferences and promotes women in engineering through teaching excellence initiatives.

Jianfei XieView profile

Senior Lecturer

• Thermal Engineering
• Energy Systems
• Combustion Engineering
• +3 more

Jianfei Xie is a Senior Lecturer in Mechanical and Manufacturing Engineering at the College of Science and Engineering. His research focuses on thermal energy systems, fluid dynamics, and the application of machine learning in engineering. Key areas include thermal energy storage, combustion optimization, and nanomaterials for enhanced heat transfer. He has published extensively on topics such as packed bed reactors, molecular dynamics simulations, and AI-driven predictive modeling for engine performance. Research Interests: • Thermal systems engineering • Nanofluids and phase change materials • Machine learning applications in energy systems • Combustion processes and fuel efficiency • Micro/nanochannel flow dynamics • High-temperature material characterization Notable contributions include studies on solar thermal power generation, chaos synchronization using reinforcement learning, and the enhancement of molten salt thermal storage using nanoparticles. His work often bridges computational methods with practical engineering challenges, emphasizing interdisciplinary approaches. Publications span Energy Conversion and Management , Fuel , and Chaos, Solitons & Fractals , reflecting a strong focus on energy systems and fluid dynamics. While no awards are explicitly mentioned, his prolific output highlights sustained academic engagement in impactful research areas.

Olivier ChadebecView profile

Research Professor

• Computational Electromagnetics
• Electrical Energy Conversion
• Numerical Modeling
• +6 more

Olivier Chadebec is a CNRS Research Director at G2Elab, the power electrical engineering research department of Université Grenoble Alpes in France. He leads the 'Models, Methods and Methodologies Applied to Electrical Engineering' research team (MAGE group) and the ERT-CMF (Low Magnetic Fields Technological Research Group) at G2Elab. He was involved in creating the International Laboratory 'James Clerk Maxwell' in collaboration with the University of Lyon and Brazilian universities. Chadebec received his engineer and Ph.D. degrees in Electrical Engineering from the Grenoble Institute of Technology in 1997 and 2001. After a post-doctorate with Schneider Electric, he joined CNRS in 2003 as a Research Associate. He received his 'Habilitation à Diriger les Recherches' in 2011 and became a Research Director in 2015. He also spent a year in 2012 as a research associate at the Federal University of Santa Catarina in Brazil. His research focuses on computational electromagnetics applied to electrical energy conversion, developing numerical models, algorithms, and simulation tools for electromagnetic device analysis. His key research areas include finite element methods, integral methods, inverse problems, and low magnetic field metrology. He actively contributes to the development of the MIPSE platform commercialized by Altair Engineering via Flux software. His recent publications (2023-2025) show a strong focus on advanced computational methods for electromagnetic problems, including multiscale modeling, tensor compression techniques, FEM-BEM coupling for magnetoelectric effects, and optimization algorithms for electrical machine design and fuel cell diagnostics. His work demonstrates a consistent progression toward more efficient computational approaches for complex electromagnetic problems. Chadebec has supervised over 30 PhD students since 2006, with thesis topics spanning computational electromagnetics, inverse problems, fuel cell diagnostics, and submarine magnetic signature analysis. His research has significant applications in electrical machine design, fuel cell technology, submarine degaussing, and electromagnetic compatibility. He leads the MAGE research team and the ERT-CMF (Low Magnetic Fields Technological Research Group) at G2Elab, and has been instrumental in developing the MIPSE simulation platform used in industry through collaboration with Altair Engineering.

Emanuele PrincipiView profile

Associate Professor

• Electrical Engineering
• Signal Processing
• Machine Learning
• +4 more

Emanuele Principi serves as an Associate Professor in the Department of Information Engineering at the College of Engineering, Università Politecnica delle Marche (UNIVPM). His academic appointment falls under the scientific sector IIET-01/A - Elettrotecnica (Electrical Engineering). Based at Via Brecce Bianche 12 in Ancona, Italy, Professor Principi maintains regular office hours on Fridays from 15:00-18:00 via Microsoft Teams, and can be contacted at e.principi@univpm.it or by phone at 0712204626. Professor Principi's research spans electrical engineering with a strong focus on signal processing, machine learning applications, and energy systems. His work particularly emphasizes non-intrusive load monitoring (NILM), acoustic signal analysis, and renewable energy integration. He has developed innovative approaches combining deep learning with electrical engineering principles to address challenges in energy disaggregation, sound event classification, and smart grid technologies. His research bridges theoretical advancements with practical applications in sustainable energy systems and intelligent monitoring solutions. Analysis of Professor Principi's publication trends reveals a consistent research trajectory with increasing focus on machine learning applications for energy systems. His recent work (2023-2025) demonstrates growing sophistication in knowledge distillation techniques for non-intrusive load monitoring, with increasing attention to interpretability and edge computing implementations. He has also expanded his research into photovoltaic-thermal systems with thermoelectric generators, showing diversification into renewable energy conversion while maintaining his core expertise in electrical signal processing. Professor Principi has made significant contributions to the fields of non-intrusive load monitoring and acoustic signal processing through his extensive publication record. His work on knowledge distillation frameworks, weakly supervised learning approaches, and real-time signal processing systems has advanced methodologies in energy monitoring and sound event classification. Professor Principi actively advises students and researchers in electrical engineering, signal processing, and machine learning applications. His research projects likely involve collaborations with industry partners in energy technology and smart grid development, though specific grant details are not provided in the available information. He appears to lead or participate in research teams focused on developing practical implementations of his theoretical work, particularly in edge computing applications for energy monitoring. Professor Principi's laboratory or research group likely focuses on signal processing for energy systems and acoustic analysis, with equipment supporting electrical measurements, audio signal acquisition, and machine learning model development. His work suggests integration of hardware and software systems for real-world implementation of monitoring technologies.

Oliver CurnickView profile

Associate Professor

• Hydrogen Energy
• Electrochemical Power Sources
• Fuel Cells
• +3 more

Oliver Curnick is an Associate Professor in Electrochemical Power Sources at Coventry University, leading the Hydrogen Energy research theme. His work focuses on advancing hydrogen technologies (production, storage, distribution) and lithium-ion battery diagnostics to support the sustainable energy transition. He is based at the Centre for Advanced Low Carbon Propulsion Systems and the Hydrogen Energy Applications Laboratory, which house facilities for collaborative industrial R&D projects. Research interests include overcoming technical/economic challenges in hydrogen energy systems, novel device/process development, and electrochemical diagnostic techniques for battery degradation assessment. Key areas include PEM fuel cells, lithium-ion battery lifecycle analysis, and integration of green hydrogen into multi-energy systems. Recent publications emphasize real-time battery diagnostics (e.g., non-linear frequency response analysis), hydrogen storage solutions, and system-level optimizations for fuel cell performance. His work aligns with UN Sustainable Development Goals related to affordable clean energy and climate action. Notable outputs include patents on ion exchange membrane fuel cells and peer-reviewed contributions to Journal of Energy Storage and Electrochemistry Communications . Collaborations span academic and industrial partners focused on advancing low-carbon propulsion and energy storage technologies. Ongoing projects include second-life battery applications and thermal management strategies for hydrogen-powered vehicles.