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John FletcherView profile

Professor

• Electrical Engineering
• Power Engineering
• Renewable Energy
• +7 more

Professor John Fletcher is a world-leading academic in electrical power engineering at the University of New South Wales' School of Electrical Engineering and Telecommunications. He serves as Director of the Digital Grid Futures Institute (appointed May 2022), UNSW's Director of the NSW Government's Electrification and Energy Systems Network, and leads the TRaCE-funded $2M Technology Translation Squad. His research portfolio totals $15 million with $4.7 million awarded since 2022. Fletcher's research focuses on electrical power engineering , with highly-cited works in HVDC and wind generation integration, multi-phase drive systems, and novel electrical machines. His expertise spans renewable energy integration, smart grids, power electronics, and electrical machines. He has made significant contributions to wind turbine technology, photovoltaic integration, and power semiconductors for energy applications. His publication record shows consistent high-impact output with 156 journal articles, demonstrating strength in renewable energy integration, power system stability, and advanced power electronics. His work shows increasing emphasis on practical implementation challenges of renewable energy systems and grid modernization. Fletcher has completed 56 PhD students throughout his career (12 in 2022-2025), making him the top professor in his school for PhD completions during that period. He has secured substantial funding including ARC Discovery Projects, DSTG Next Generation Technology Fund, CRC, CSIRO, ARENA, and CRC-P grants totaling $4.7 million. As an educator, he developed UNSW's first microcredential in Hydrogen engineering and manages a full teaching load with classes exceeding 380 students, receiving outstanding student feedback (myExperience scores 5.5 to 5.63). He also manages two VIP projects (Sunswift and Atomcraft). Fletcher actively engages with industry and government, representing UNSW's stake in electrification to high-level officials including Penny Sharpe, Grant King, Chris Bowen, Mary O'Kane, Paul Fletcher, and Victor Dominello, as well as presenting to the Board of the Climate Change Authority and delegations from AEMO, Pearcey Foundation, and CEFC.

• Microgrid Engineering
• DC Microgrid Engineering
• Battery Energy Storage
• +5 more

Elahe Doroudchi serves as a Visiting Faculty member in the Department of Electrical Engineering and Automation at Aalto University. Her academic journey culminated with a Doctoral degree in Engineering and Technology from Aalto University, awarded on September 27, 2018. Dr. Doroudchi's research spans multiple critical areas in sustainable energy systems, with particular emphasis on microgrid technologies and energy-efficient building solutions. Her fingerprint analysis reveals strong expertise in Microgrid Engineering (100%), DC Microgrid Engineering (81%), Battery Energy Storage (81%), and Energy Systems Engineering (77%). Additional research interests include Residential Building Engineering (66%), Net Zero Energy Building design (60%), Energy Management Systems (48%), and Thermal Energy Storage (45%). Her research trajectory shows consistent contributions to the field of sustainable power systems, with publications spanning from 2015 to 2025. The publication pattern demonstrates her evolving focus from foundational microgrid research toward integrated energy solutions that combine building systems, electric vehicles, and grid management. Her work frequently addresses practical implementation challenges, as evidenced by hardware-in-the-loop testing methodologies and real-world case studies. Dr. Doroudchi has made significant contributions to conference proceedings, including serving as Program Chair for IEEE PES ISGT Europe 2021, and has published in high-impact journals such as Sustainable Cities and Society. Her 2018 article on net zero energy housing through integrated EVs has received substantial academic attention with 73 Scopus citations, indicating meaningful impact in the field.

Fiona McBrideView profile

Researcher

• Sustainability
• Logistics
• Operations Management
• +4 more

Fiona McBride is a Doctoral Researcher at the Sheffield University Management School , specializing in electric vehicle charging logistics since 2022. As a Grantham Centre for Sustainable Futures scholar, her work integrates urban logistics, operations management, and electrical microgrids to design sustainable transport solutions. Education MEng in Mechanical Engineering from the University of Sheffield (2022) Fellow of the Higher Education Academy (2025) Research Interests Fiona’s research addresses critical challenges in public transport energy efficiency, air quality, and climate change mitigation. She employs methods like energy use prediction, simulation modeling, and economic viability analysis to develop practical solutions for integrating electric vehicle charging with urban infrastructure. Publications & Research Trends Her 2023 conference papers explore synergies between urban fleet operations and energy recovery from light rail systems. Themes include microgrid optimization, sustainable transport infrastructure, and reducing energy wastage through innovative charging solutions. Scientific Awards Fellow of the Higher Education Academy (2025) Grants & Supervisors Fiona’s PhD is funded by the University of Sheffield Energy Institute, with additional support from the Grantham Centre for Sustainable Futures. She is supervised by Dr. Erica Ballantyne (Senior Lecturer in Operations and Supply Chain Management) and Professor David Stone (Professor in Electrical Engineering), whose expertise spans logistics and energy systems.

• Microgrids
• Smart Grids
• Power Systems
• +7 more

Mostafa Kermani is a Senior Lecturer in Electrical Engineering at the University of Skövde's School of Engineering Science, where he conducts research and teaches courses in advanced electrical engineering. His office is located in room PA110K, and he serves as an Education Course Coordinator for multiple master's level courses in electrical engineering. University: University of Skövde School: School of Engineering Science Department: Electrical Engineering Position: Senior Lecturer Dr. Kermani's research focuses on modern power systems with emphasis on microgrids, smart grid technologies, and renewable energy integration. His work spans several critical areas including vehicle-to-grid/building technologies, underwater wireless power transfer systems, and energy management in port environments. He has developed innovative approaches for power sharing in energy communities and optimization of microgrid operations under uncertainty. His recent publications demonstrate a clear trend toward practical applications of electrical engineering research, particularly in sustainable energy systems. The research shows strong emphasis on real-world implementation challenges, with numerous studies utilizing the LAMBDA Microgrid testbed. His work bridges theoretical optimization methods with practical engineering solutions for decarbonizing energy systems, particularly in transportation and port infrastructure. Dr. Kermani is actively involved in multiple significant research projects that address contemporary energy challenges: Port Microgrid (Nov 2024 - Nov 2027): Optimizing microgrid design for port environments to improve efficiency and reduce emissions Virtual Engineering Helios Energy Hub (Sept 2024 - Aug 2027): Developing commercial smart energy management systems based on SCADA technology Next Generation Laboratory Environment (Jul 2023 - Jun 2026): Collaborative development of production processes for electric drivetrains His research group appears to focus on practical implementation of energy systems, with strong industry connections evident from publications in IEEE Transactions on Industry Applications and collaborations with port authorities and energy companies. The work demonstrates a consistent approach of combining theoretical modeling with real-world validation through laboratory and field testing.

• Robotics
• Precision Agriculture
• Computer Vision
• +5 more

Stefan Ericson is a Senior Lecturer and Division Head at the School of Engineering Science, University of Skövde. His research focuses on robotics, computer vision, and precision agriculture, particularly in autonomous navigation systems for agricultural robots and industrial applications. Education: Doctoral thesis on Vision-Based Perception for Localization of Autonomous Agricultural Robots (2017). Research Interests: Visual odometry, digital twins, deep learning for manufacturing, and AI in precision agriculture. Projects: Currently involved in Port Microgrid (optimizing port energy systems), Helios Energy Hub (smart energy management), and Next Generation Laboratory Environment (electric drivetrain production). His recent articles emphasize deep learning for welding analysis, digital twins in production lines, and visual odometry for uneven terrain and agricultural environments. He teaches courses at both bachelor's and master's levels, including topics in robotics and engineering.

Runar NygaardView profile

Professor

• Wellbore Integrity
• Geomechanics
• Drilling Engineering
• +2 more

Dr. Runar Nygaard serves as the Director of the Mewbourne School of Petroleum and Geological Engineering and holds the Eberly Family Chair as Professor of Petroleum Engineering at the University of Oklahoma. Originally from Norway, he earned his doctoral degree in Geomechanics from the University of Oslo in 2004 after completing undergraduate and master's studies in Geology and Geotechnics at the same institution. His career spans industry roles in oil and gas and management consulting at McKinsey & Company before transitioning to academia at the University of Calgary, Missouri University of Science and Technology, and Oklahoma State University. His educational background includes: Ph.D. in Geomechanics, University of Oslo (2004) M.Sc. in Geotechnics, University of Oslo (1996) B.Sc. in Geology, University of Oslo (1995) Dr. Nygaard's research program centers on well construction safety and efficiency across energy applications. His work integrates geomechanics, drilling engineering, and well design to address technical, economic, and environmental challenges in oil and gas, geothermal energy development, and CO2 storage projects. Current research focuses on drilling efficiency in hard rock for geothermal systems, downhole sensor deployment for integrity monitoring, and plug-and-abandonment methodologies for offshore wells. His interdisciplinary approach bridges petroleum engineering fundamentals with emerging energy transition technologies. Analysis of his recent publications reveals a strategic pivot toward sustainable energy applications, particularly the repurposing of hydrocarbon infrastructure for geothermal district heating in Oklahoma. His work demonstrates increasing integration of machine learning for real-time drilling optimization and advanced geomechanical modeling for CO2 storage integrity assurance. The publication portfolio shows strong emphasis on practical field applications with immediate industry relevance across sedimentary basin energy systems. As Director of the Mewbourne School, Dr. Nygaard oversees academic programs, industry partnerships, and research initiatives including the Industry Advisory Board and technical seminar series. His leadership connects students with industry professionals through programs like 'Day in the Life of a Driller' and the MPGE Link Tree digital platform. Current projects address critical energy transition challenges through collaborations with Oklahoma's energy sector on geothermal repurposing and well integrity monitoring.

• Sustainable energy systems in developing countries
• Small hydropower plants
• Island energy systems
• +4 more

Stephan Baur is a researcher at the Chair of Renewable and Sustainable Energy Systems at the Technical University of Munich (TUM), based in room 5414.02.018 at Lichtenbergstr. 4a, 85748 Garching bei München. He offers consultation hours by appointment and maintains an active research profile focused on practical renewable energy solutions for developing contexts, particularly through the Laboratory for Sustainable Energy Systems (SES Lab). Baur completed his physics diploma studies at the University of Augsburg, where he conducted his thesis on "Energy supply in high mountain huts - optimization, dimensioning and maintenance of storage batteries" at the Chair of Experimental Plasma Physics. Prior to his position at TUM, he worked as a teacher at Geretsried Gymnasium teaching Mathematics, Physics and Computer Science, which informs his current educational focus. His primary research interests include sustainable energy systems in developing and emerging countries, island systems, small hydropower plants (micro-hydro), and the cultural, social and economic framework conditions of energy supply in these regions. Baur's work consistently bridges theoretical energy concepts with practical implementation challenges in resource-constrained environments. Analysis of Baur's publication record reveals a clear evolution from early work on battery systems for mountain huts (2006-2007) to Nepal-focused micro-hydro projects (2018-2020), and most recently to educational applications of solar energy systems (2021-2024). His research demonstrates increasing emphasis on making renewable energy concepts accessible through hands-on learning experiences. Baur actively participates in interdisciplinary projects connecting school and university teaching with sustainable energy production in developing countries. His collaborations with researchers including Michael Erhart, Michael Penk, and Anurag Mohapatra demonstrate a team-based approach to addressing energy challenges in diverse contexts. He is a key contributor to the Laboratory for Sustainable Energy Systems (SES Lab), where theoretical concepts are transformed into practical implementations, particularly focusing on contexts where conventional energy infrastructure is limited or unavailable. His work on simple measurement techniques for electricity demand in developing countries represents an important methodological contribution to the field.

• Energy and Climate Policies
• Renewable Energy Integration
• Sector Coupling
• +3 more

Julia Gawlick serves as a Researcher at the Chair of Renewable and Sustainable Energy Systems at the Technical University of Munich (TUM), actively contributing to European and global energy transition research. Her work spans energy policy analysis, renewable integration modeling, and sector coupling technologies. Her research focuses on energy and climate policies in European countries , integration of renewables into energy systems , and sector coupling through Power-to-X technologies . Key projects include the Copernicus Project P2X, nuclear fusion integration studies with the Max Planck Institute for Plasma Physics, and Bavarian energy transition scenarios developed with the Munich Chamber of Industry and Commerce. Analysis of her 10 publications (2020-2024) reveals consistent focus on hydrogen system integration (Texas and European contexts), fusion energy system modeling , and renewable transition pathways . Her work demonstrates strong interdisciplinary approach connecting engineering, policy, and economics. As an educator, she teaches Modeling Energy Systems and Integration of Renewable Energies courses. Her projects involve significant collaboration with industrial partners and research institutions including the Max Planck Society and DECHEMA. Her academic background includes both B.Sc. and M.Sc. in Environmental Engineering with Renewable Energy specialization at TUM, where her Master's thesis investigated sediment impacts on hyporheic exchange in gravel beds.

• Power System Engineering
• Energy Management
• Microgrid Optimization
• +7 more

Pratik Harsh is a Post-doctoral Research Associate at Durham University , UK, affiliated with the Department of Engineering and the Electrical Power research group. His work addresses global challenges in energy systems through the lens of UN Sustainable Development Goals 7 (Affordable Energy) and 12 (Sustainable Consumption). Education: Ph.D. in Electrical Engineering (2018–2023) from Indian Institute of Technology Kharagpur , with a focus on "Optimal energy management of reconfigurable microgrid using demand response program" Research Interests Pratik specializes in power system engineering with particular emphasis on: Advanced energy management systems for microgrids and virtual power plants Innovative grid reconfiguration strategies for distribution networks Electric vehicle integration (G2V/V2G) in smart grids Application of metaheuristic optimization to energy systems Development of digital twin technologies for integrated energy systems Creation of resilient protection frameworks for hybrid microgrids Publication Trends Pratik's research output demonstrates a clear focus on: Evolution from traditional congestion management (2018) to sophisticated digital twin applications (2025) Progression from basic EV charging coordination to priority-ordered smart charging strategies Development of scalable protection frameworks using modern graph learning techniques Integration of deep learning (LSTM networks) for energy profile identification Advancement of stochastic incentive-based demand response programs for VPPs Application of multi-objective optimization to peer-to-peer energy trading systems UN Sustainable Development Goals His research directly contributes to: SDG 7 : Affordable and clean energy SDG 12 : Responsible consumption and production

• Artificial Intelligence
• Internet of Things
• Machine Learning
• +12 more

Dr. Tabbasum Naz is a Research Fellow at the Strathclyde Institute of Pharmacy and Biomedical Sciences , University of Strathclyde, United Kingdom. Her work bridges Artificial Intelligence , Internet of Things , and Health Informatics to advance pharmaceutical and biomedical research. Expertise : Ontology engineering, AI/ML for healthcare, sustainable manufacturing Collaborations : International partnerships in pharmaceutical data analytics SDG Contributions : Focused on sustainable medicines (SDG 3, 12) Her research emphasizes digital design for pharmaceutical quality, bio-inspired optimization in energy systems, and semantic frameworks for maternal health diagnostics. Recent publications highlight applications of AI in drug interaction modeling and IoT-enabled diabetes prediction. Contact: tabbasum.naz@strath.ac.uk

• Renewable Energy Integration
• Electrical Power Systems
• Energy Storage Technologies
• +4 more

Murray Thomson is a Senior Lecturer in Electrical Networks and Systems at CREST (Centre for Renewable Energy Systems Technology), part of the School of Electronic, Electrical & Systems Engineering at Loughborough University. His research focuses on integrating renewable energy into power systems, including low-voltage distribution networks and flexible demand management for grid balancing in low-carbon systems. He holds a BSc and PhD in relevant fields. His work emphasizes high penetrations of wind, marine, and solar power, alongside energy storage solutions and smart grid technologies. Notable contributions include techno-economic analyses of offshore wind and solar systems, evaluations of energy storage for decarbonization, and studies on heat pumps and insulation in UK decarbonization efforts. Recent research highlights include investigating battolyser technology for hydrogen production, analyzing non-technical electricity losses, and exploring microgrid design for energy access in rural areas. His work intersects technical feasibility with policy implications, particularly in achieving net-zero targets. Dr. Thomson's publications span over two decades, addressing demand modeling, grid integration challenges, and the evolving role of smart meter data. Despite no listed awards, his contributions are recognized through extensive peer-reviewed outputs. He leads research at CREST, focusing on innovative solutions for sustainable energy systems without explicitly noted grants or advising roles.

Chen-Ching LiuView profile

Professor

• Power Systems
• Cybersecurity
• Electricity Markets
• +5 more

Chen-Ching Liu is the American Electric Power Professor and Director of the Power and Energy Center at Virginia Tech's Bradley Department of Electrical and Computer Engineering. He holds a Ph.D. from UC Berkeley and has held academic roles at institutions such as Washington State University (2011-2017), University of Washington (1983-2005), and University College Dublin (2008-2015). His research focuses on power systems, cybersecurity, resilience engineering, and renewable energy integration. Education : Ph.D., Electrical Engineering, UC Berkeley (1983) M.S., National Taiwan University (1978) B.S., National Taiwan University (1976) Research Interests : Cybersecurity of power systems Smart grid resilience and restoration Electricity market mechanisms Renewable energy integration Advanced control systems for microgrids Key Awards : Member, National Academy of Engineering (2020) IEEE Fellow (1993) Outstanding Power Engineering Educator Award (2004) Doctor Honoris Causa, Polytechnic University of Bucharest (2013) Grants & Projects : Directed the WSU Energy Systems Innovation Center (2012–2017) Lead researcher on cyber-physical system security and microgrid resilience Contributed to CIGRE defense plans against extreme contingencies Labs & Teams : Director of Virginia Tech’s Power and Energy Center Developed cyber-distribution system testbeds for education and research Collaborates with industry partners on smart grid and cybersecurity initiatives

James FlemingView profile

Senior Lecturer

• Model Predictive Control
• Embedded Machine Learning
• Automotive Engineering
• +3 more

Dr. James Fleming is a Senior Lecturer in the Control Systems Group at the Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University. He specializes in Model Predictive Control (MPC) and embedded machine learning, with applications in automotive safety systems, renewable energy, and sustainable transportation. His research focuses on optimizing energy systems, improving vehicle safety, and advancing control algorithms for smart grids and wind turbines. Education : MEng Engineering Science (University of Oxford, 2012) DPhil Engineering Science (University of Oxford, 2016) Research Interests : Dr. Fleming’s work spans advanced driver assistance systems (ADAS), eco-driving optimization, and the integration of renewable energy sources. He also explores machine learning applications in friction estimation and vehicle dynamics. His research aims to enhance energy efficiency, safety, and sustainability in transportation and power systems. Awards : Fellow of the UK Higher Education Academy Advising & Grants : While no advisees are listed, his research has been supported by collaborations with Jaguar Land Rover and projects like the G-Active initiative. He has contributed to developing eco-driving assistance systems and energy management frameworks. Labs & Teams : Active member of the Control Systems Group at Loughborough University, focusing on interdisciplinary projects in control engineering and renewable energy systems.

Bing WangView profile

Professor

• Computer Networking
• Quantum Communications
• Network Security
• +4 more

Professor Bing Wang is a faculty member in the Computer Science & Engineering Department at the University of Connecticut. He leads the Computer Networking Research Group, focusing on computer networking, ubiquitous computing, multimedia streaming, network security, and quantum communications. His research integrates machine learning for depression treatment prediction using smartphone data and explores secure quantum key distribution systems. Research interests span quantum networks, adaptive bitrate streaming optimization, wireless network routing strategies, and leveraging mobile sensory data for mental health diagnostics. His work addresses challenges in network security (e.g., BGP hijacking defenses), energy-efficient streaming, and resilient microgrid systems through programmable networks. Publications emphasize cross-disciplinary applications of networking principles, including depression symptom prediction via smartphone sensors and quantum repeater security. Notable contributions include frameworks like C2 for ABR streaming and BGP-Isec for routing security. His group actively develops methodologies for optimizing network performance while balancing resource usage and user experience.

• Energy Management
• Microgrids
• Battery Degradation
• +3 more

Javaria Abdur Rehman is a Doctoral Researcher focused on energy systems and policy. Their work addresses challenges in microgrid energy management and Pakistan's energy crisis. Research emphasizes battery degradation modeling, sustainable power solutions, and policy interventions. Education and institutional affiliations are not explicitly stated in the provided information. No scientific awards or grants are documented here. Their research outputs span technical control systems and socio-economic energy policy analysis.