جستجوی استاد راهنمای دانشگاهی

• Low-carbon energy systems
• Electricity markets
• Data analytics
• +۳ مورد دیگر

Dr. Jeremy Qiu is a Senior Lecturer in Electrical Engineering at the School of Electrical and Computer Engineering, University of Sydney. He is a member of The Net Zero Institute and focuses on sustainable energy planning and electricity market analysis to facilitate Australia's low-carbon transition. His work combines advanced engineering methods with data science and artificial intelligence for optimizing power systems. Education: B.Eng. Electrical and Control Engineering, Shandong University (2008) M.Sc. Environmental Policy and Management, University of Manchester (2010) PhD Electrical Engineering, University of Newcastle (2014) Research Interests: Dr. Qiu specializes in low-carbon energy system planning, data analytics for electricity markets, and AI-assisted trading strategies. His work addresses critical challenges in renewable energy integration, electric vehicle charging infrastructure, and carbon emission reduction in coupled transportation and power networks. Recent Publications: His research spans solar power forecasting with AI, EV charging network optimization, peer-to-peer energy trading frameworks, and security analysis of AI applications in power systems. Articles emphasize hybrid modeling approaches combining machine learning, game theory, and robust optimization for sustainable energy solutions. Scientific Awards: Best Paper Award, IEEE Power and Energy Society General Meeting 2014 CSIRO Team Performance Cash Award 2017 Acknowledgment from Australian Prime Minister for energy policy impact Grants: He has secured over $6 million in research funding, including four ARC Discovery Projects, government grants, and industry partnerships focused on hydrogen-electricity systems, virtual power plants, and energy storage solutions.

• Sustainable and Zero Emission Energy Systems
• Reliability and Resiliency of 100% Renewable-Based Energy Systems
• Energy System State Estimation
• +۳ مورد دیگر

Professor Ali Arefi serves as a Professor in the School of Engineering and Energy at Murdoch University, Western Australia, with prior experience as a Lecturer and Research Fellow at Queensland University of Technology (2012-2015). His educational qualifications include a B.Sc. (Honours) in Electrical Engineering (1999), M.Sc. in Electrical Engineering (2001), and Ph.D. in Electrical Engineering (2011). Research focuses on transformative energy solutions: Sustainable and Zero Emission Energy Systems Reliability of 100% Renewable-Based Grids Advanced Energy State Estimation Techniques Smart Grid and Microgrid Integration Energy Efficiency Optimization Secured over $11 million in competitive research funding ($4m government, $7m industry) through ARC Discovery Projects, ARENA, and partnerships with Horizon Power, Western Power, and Energy Queensland. Authored 180+ publications including 34 Q1 journal papers, 78 conference proceedings, and 58 industry technical reports. IEEE Senior Member active in standards development with six years of industry consultancy experience, including 18 distributed generation interconnection projects and energy audits for 35+ utilities.

Aysegül Kahramanمشاهده پروفایل

پژوهشگر ارشد

• Wind Power
• Microgrids
• Reinforcement Learning
• +۵ مورد دیگر

Aysegül Kahraman serves as a Postdoctoral Researcher (Research Fellow) at the Department of Wind and Energy Systems, Technical University of Denmark (DTU), with active projects running through 2028. Her work directly contributes to UN Sustainable Development Goals in renewable energy and climate action through advanced energy systems research. Her research expertise spans Wind Power integration , Microgrid optimization , and Machine Learning applications for energy systems. She specializes in deploying Reinforcement Learning and Deep Learning techniques to solve critical challenges in load forecasting, home energy management, and multi-energy system operations under uncertainty, with particular focus on transactive control frameworks and EV scheduling. Analysis of her 2022-2024 publications reveals a strong trend toward AI-driven solutions for renewable energy integration , with consistent emphasis on real-world implementation in microgrids and distribution systems. Her work demonstrates increasing sophistication in handling system constraints while optimizing energy flexibility across multiple domains. As academic supervision, she currently serves as supervisor for PhD candidate Sundhu, A. A. in the Real-Time Digital Twin for Active Distribution Networks project, building on her own recently completed PhD research at DTU.

• Artificial Intelligence
• Machine Learning
• Data Science
• +۴ مورد دیگر

Laura E. Brown is Associate Professor of Computer Science at Michigan Technological University, also serving as Associate Dean for Data Science Initiatives in the College of Computing and Director of the university’s M.S. and B.S. Data Science programs. She is a core member of the Institute of Computing and Cybersystems (ICC), the Ecosystem Science Center (ESC), and the Center for Agile Interconnected Microgrids (AIM). Education Ph.D., Biomedical Informatics — Vanderbilt University M.S., Biomedical Informatics — Vanderbilt University M.S.E., Electrical Engineering & Computer Science — University of Michigan B.S., Engineering — Swarthmore College Research Interests Laura’s scholarship spans artificial intelligence, machine learning, and data science, with theoretical advances tightly coupled to high-impact applications in energy systems (microgrids, power analytics), health and biomedical informatics, and computer science pedagogy. She is passionate about translating algorithmic innovations into real-world deployments that improve sustainability, clinical decision-making, and equitable education. A second major strand of her work centers on educational innovation: developing automated code-critiquing systems, studying their influence on student self-efficacy—especially for women in engineering—and leading campus-wide initiatives such as Carpentries workshops and ICPC programming competitions. Publication Trends Brown’s 2018–2025 publication record reveals sustained productivity in three overlapping domains: (1) AI/ML methodology—hardware prefetching, neural architectures, transfer learning; (2) energy analytics—forecasting coincident peak load, solar irradiance, battery degradation; and (3) computing education—automated feedback, gender studies, curriculum design. Recent emphasis has shifted toward educational technology, with multiple 2023–2025 papers on code critiquers and their psychological impact. Research Funding & Grants NSF Revolution through Evolution: $699 K, PI (2015–2019) DoD Distributed Agent-Based Management of Agile Microgrids: ~$1 M, co-PI (2013–2017) NSF Adaptive Memory Resource Management in a Data Center: $299 K, PI (2014–2017) NSF Microdevice for Rapid Blood Typing without Reagents: $300 K, co-PI (2016–2019) Google Explore CS Research Workshops: $18 K PI / $35 K co-PI (2018–2020) Student Engagement & Leadership Laura co-advises Women in Computing Science (WiCS) , organizes Michigan Tech’s ICPC regional site, and has led Google-sponsored undergraduate research workshops, Summer Youth Programs, and multiple Carpentries training events.

• Power Electronics
• Power Quality
• Smart Grids
• +۳ مورد دیگر

Szymon Barczentewicz, PhD, Eng., serves as a Lecturer at AGH University of Science and Technology within the Department of Power Electronics and Automation of Energy Conversion Systems, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering. His academic position and research activities confirm active faculty status in Poland's leading technical university. Dr. Barczentewicz's research concentrates on Power Electronics , Power Quality , and Smart Grid technologies, with particular expertise in harmonic analysis, islanding detection for distributed generation systems, and voltage fluctuation compensation. His work bridges theoretical development with experimental validation, frequently utilizing phasor measurement units (PMUs), hardware-in-the-loop simulations, and advanced signal processing techniques to address grid stability challenges in renewable-rich environments. Analysis of his 15 most recent publications reveals consistent focus on grid integration challenges: 60% address islanding detection and prevention, 40% cover power quality monitoring (including supraharmonics), and 30% explore data compression for smart grid applications. His 2025-2024 work demonstrates increasing emphasis on AI-enhanced grid management and experimental validation of control systems for renewable integration. Collaboration with industry partner Enea Operator features prominently in his research program, particularly in power quality monitoring and energy balancing projects. As an active member of AGH's Energy Quality Team ( Zespołu Jakości Energii ), he contributes to experimental developmental research and educational initiatives in electrical power delivery systems.

Hanif Livaniمشاهده پروفایل

دانشیار

• Machine Learning
• Data Analytics
• Cyber-Physical Energy Systems
• +۶ مورد دیگر

Dr. Hanif Livani is an Associate Professor in the Department of Electrical and Biomedical Engineering at the University of Nevada, Reno . His research focuses on machine learning , cyber-physical energy systems , and power system state estimation , with applications in smart grid technologies, renewable energy integration, and signal processing for power systems. Research Interests: Machine learning for fault location, grid resilience, voltage control, and real-time power system analytics. Contact: Phone (775) 784-6103, Email hlivani@unr.edu , Office WPEB 335.

• Distributed Energy Resource Control
• Smart Grids
• Real-Time Simulation
• +۷ مورد دیگر

Panagiotis Kotsambopoulos is a Principal Investigator in Smart Grids at EPISEY (National Technical University of Athens) and a Senior Member of IEEE. He holds a PhD in Distributed Power Generation from NTUA (2017), an Electrical Engineering degree (2010), and a Primary Education degree from the National University of Athens (2020). His research focuses on distributed energy resource control, real-time simulation, microgrid dynamics, and cybersecurity education. Education: PhD (Distributed Power Generation, NTUA 2017), Electrical Engineering (NTUA 2010), Primary Education (National University of Athens 2020) He pioneered Europe's first Power Hardware-in-the-Loop (PHIL) laboratory setup (2011) and leads NTUA's Power Systems Laboratory. His 36+ journal publications and 37 conference papers explore smart grid validation, energy community business models, and grid-forming inverter dynamics. He coordinates European research projects including H2020 RE-EMPOWERED and APEX. As IEEE PES Task Force Chair for innovative teaching methods, he developed open-source benchmark models and co-led IEEE Working Group P2004 on PHIL testing standards. He has taught power systems courses at NTUA since 2019 and represents EPISEY-NTUA in DERlab, a global network of distributed energy laboratories.

• Power Electronics
• Active Power Filters
• Power Quality
• +۸ مورد دیگر

Joao L. Afonso is a Full Professor at the Department of Industrial Electronics, Engineering School, University of Minho, Portugal. He has been with the University since 1993 and served as Department Director from January 2017 to January 2021. He is also Vice-President of TMOB-HUB (Transportation and Mobility Research Hub) and coordinates the Group of Energy and Power Electronics (GEPE). His educational background includes a B.Sc. and M.Sc. in Electrical Engineering from the Federal University of Rio de Janeiro, Brazil (1986 and 1991), and a Ph.D. in Industrial Electronics from the University of Minho, Portugal (2000). He received his Habilitation degree in Electronics and Computers Engineering from the University of Minho in 2016. Professor Afonso's research focuses on Power Electronics applications across multiple domains including Power Quality, Active Power Filters, Renewable Energy, Electric Vehicles, Energy Efficiency, Energy Storage Systems, Innovative Railway Systems, Smart Grids, Smart Cities and Aerospace. His work bridges theoretical advancements with practical implementations in sustainable energy systems. His publication record shows a clear trend toward interdisciplinary research connecting power electronics with renewable energy integration, electric mobility, and smart grid technologies. Recent work demonstrates increasing focus on hydrogen applications, wireless power transfer for medical devices, and advanced converter topologies for grid integration. His research shows strong continuity in power quality improvement while expanding into emerging areas like green hydrogen and biomedical applications of power electronics. World's Top 2% Scientists (2021, 2022) IEEE Senior Member (2016) Member of Editorial Boards for MDPI Energies, MDPI Electronics, and EAI Endorsed Transactions on Energy Web Professor Afonso has supervised 17 Ph.D. and 74 M.Sc. theses. He has participated in 32 research projects, coordinating 21 of them. His funding portfolio includes significant projects like DAIPESEV, newERA4GRIDs, Quality4Power, and IN2STEMPO, reflecting strong connections with both national and European funding bodies. His research group GEPE maintains active collaboration with industry partners in the energy sector. As coordinator of GEPE (Group of Energy and Power Electronics), he leads a research team focused on power electronics applications for sustainable energy systems. The group is part of the ALGORITMI research center's thematic line 'Smart Cities and People.' His leadership extends to the TMOB-HUB, where he contributes to transportation and mobility research initiatives at the University of Minho.

Renqi Guoمشاهده پروفایل

دانشگاهی

• Power Systems
• Microgrids
• Power Quality
• +۳ مورد دیگر

Renqi Guo serves as an Associate Lecturer and PhD student at Lancaster University's School of Engineering. Affiliated with the TALOS research group, their work focuses on advanced power system technologies with active publication output. Research interests center on power systems engineering with emphasis on microgrid stability and renewable energy integration. Key specializations include synchronous condenser technology, virtual synchronous generators, and power quality enhancement in distributed energy systems where grid stability faces challenges from intermittent renewable sources. Recent publication trends demonstrate concentrated expertise in hybrid generator systems for microgrids, specifically examining synchronous condenser and virtual synchronous generator integration. This work addresses critical power quality issues in modern energy networks transitioning toward renewable dominance. Professional activities include participation in the TALOS research group focusing on electrical engineering solutions for contemporary power challenges.

Yi Zongمشاهده پروفایل

پژوهشگر

• Power-to-X
• Wind Power
• Energy Storage
• +۵ مورد دیگر

Dr. Yi Zong is a Senior Researcher at the Department of Wind and Energy Systems, Technical University of Denmark (DTU), specializing in renewable energy integration, power-to-X technologies, and demand response systems. His work bridges theoretical control strategies with practical applications in wind-dominated energy systems. Current Projects: DTWO (Digital Twins for Offshore Wind), P2X-Risø (Energy Harvesting), and ECoClay (Electric Calcination of Clay) Research interests include: Power-to-Hydrogen systems and alkaline electrolyzer optimization Model Predictive Control for microgrids and thermal energy storage Demand response in industrial processes (cement industry) and smart buildings Dynamic modeling of reversible solid oxide cells and hybrid energy storage Recent publications focus on: Advanced control algorithms (decentralized event-triggered, adaptive) Techno-economic analysis of hydrogen and industrial electrification Integration of wind and solar with energy storage systems Flexibility quantification in multi-carrier energy systems Active collaborations span European research institutions and industry partners, emphasizing cross-sectoral energy system integration.

Jung-Uk Limمشاهده پروفایل

دانشیار

• Power Systems
• Smart Grids
• Renewable Energy (Solar, Wind)
• +۳ مورد دیگر

Jung-Uk Lim is an Associate Professor at Houston Christian University's College of Science and Engineering, specializing in Electrical Engineering and Cyber Engineering. He holds a PhD from Seoul National University and has taught courses in power systems, electronics, and engineering design at institutions like Liberty University and the University of Houston. PhD, MS, BS in Electrical Engineering Teaching Focus: Capstone Design, Power Systems, Circuit Analysis Research Areas: Smart Grids, Renewable Energy, FACTS His research explores power system control, operation, and protection, with a focus on integrating renewable energy sources like solar and wind. He has published extensively on voltage stability, FACTS devices, and grid optimization. Recent publications highlight his work on wind turbine design, probabilistic voltage stability analysis, and enhanced simulation tools. His Google Scholar citations span decades, emphasizing power system relaying and FACTS control strategies. Scientific Awards : ILLUMINATE Grant for Renewable Energy Hardware Labs (2019-2020, Liberty University) New Online Graduate Degree Program in Industrial Power Systems (2015, University of Houston) New Faculty Research Award for Voltage Stability Assessment (2014, University of Houston)

Patrick Keatleyمشاهده پروفایل

مدرس

• Renewable Energy
• Energy Policy
• Energy Storage
• +۵ مورد دیگر

Dr. Patrick Keatley is a Lecturer in Energy Policy and Infrastructure at Ulster University, affiliated with the Belfast School of Architecture & the Built Environment. His academic work focuses on the intersection of energy systems, policy, and infrastructure development within the Department of Architecture, Built Environment and Planning Research. His research interests center on renewable energy integration, with particular expertise in demand flexibility, energy storage systems, and smart grid technologies. Dr. Keatley's work addresses critical challenges in modern energy systems, including wind power integration, grid stability, and the development of sustainable energy infrastructure that supports the UN Sustainable Development Goals. Analysis of his recent publications reveals a strong focus on practical energy solutions, with significant work on battery storage systems in healthcare settings, spatio-temporal demand flexibility assessment, and comprehensive reviews of heating and cooling network modeling. His research demonstrates consistent publication output with emphasis on both theoretical frameworks and real-world applications of energy technologies. Dean's Award (2020) for collaborative research on wind power, electric power distribution, and energy storage Dr. Keatley has been actively involved in research supervision and has contributed to multiple funded projects. His consultancy work with organizations like the NI Department for the Economy demonstrates the practical application of his research. Current projects include AQUAFLEX (2020-2022) and DDCGE - Decarbonisation of Data Centres with Geothermal Energy (2021-2023), reflecting his commitment to addressing contemporary energy challenges through collaborative research initiatives. His work is closely associated with research groups focusing on energy system optimization, contributing to the development of next-generation energy infrastructure that balances technical feasibility with policy requirements.

• Control Engineering
• Nonlinear dynamical systems
• Control of Unmanned vehicles
• +۳ مورد دیگر

Soumya Ranjan Sahoo is an Associate Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur. His academic career at IIT Kanpur began with a contract position as Assistant Professor in 2014, progressing to Assistant Professor in 2016, and currently holding the position of Associate Professor since December 2020. Prior to joining IIT Kanpur, he worked as a Scientist Fellow at the National Aerospace Laboratories in Bangalore. PhD in Systems and Control Engineering from IIT Bombay (2013) Thesis Title: Coordination problems with minimal sensing and coarse actuation Thesis Supervisors: Prof. Ravi N. Banavar and Dr. Arpita Sinha B.Tech in Electrical Engineering from University College of Engineering, Burla, Odisha (2008) Dr. Sahoo's research spans the complex intersection of control theory and practical engineering applications. His work primarily focuses on nonlinear dynamical systems, with significant contributions to the control of unmanned vehicles and coordinated control systems. His research has evolved to address modern power system challenges, particularly in the domain of AC and DC microgrids, where he has developed innovative control strategies for improved performance. His work on discontinuous systems demonstrates his ability to tackle mathematically challenging control problems with practical implications. Analysis of Dr. Sahoo's publication record reveals a clear evolution from fundamental control theory to applied research with significant practical impact. His early work focused on theoretical aspects of multi-agent systems and network control, which has progressively shifted toward power systems applications, particularly microgrids. The consistent theme across his publications is the development of robust control strategies that work effectively under realistic constraints such as communication delays, incomplete information, and system heterogeneity. His research bridges theoretical control concepts with practical engineering implementations, particularly in the domains of autonomous systems and modern power grids. Dr. Sahoo teaches several key courses in the Electrical Engineering curriculum including Introduction to Electrical Engineering, Control Systems Analysis, Basics of Modern Control Systems, Nonlinear Systems, Adaptive Control Theory, and advanced topics in Nonlinear Systems. His teaching portfolio reflects his deep expertise in control theory and its applications. His laboratory work, particularly through the DiSCo Lab (as referenced in his homepage), focuses on practical implementations of control algorithms for various applications including unmanned vehicle coordination and microgrid management. This laboratory work bridges the gap between theoretical control design and real-world implementation challenges.

• Smart Grid
• Communication Network
• Microgrid
• +۷ مورد دیگر

Hyo-Sik Yang is a Professor at the Department of Computer Science and Engineering at Sejong University. His research spans interdisciplinary domains at the intersection of computer science, energy systems, and smart grid technologies. Academic Focus: Smart Grids, Communication Networks, and IoT-Enabled Energy Systems Key Themes: Cybersecurity, Time Series Analysis, and Renewable Energy Integration Recent publications emphasize security frameworks for IoT-based microgrids , AI-driven energy forecasting , and robust energy storage control mechanisms . His work integrates communication architectures with energy management to enhance grid resilience and efficiency. Trends show a strong focus on Smart Grid and Explainable AI applications in energy systems.

• Transportation Electrification
• Multi-Energy Systems
• Optimization Methods
• +۷ مورد دیگر

Arsalan Najafi is a Postdoc Research Fellow at Chalmers University of Technology, affiliated with the School of Architecture and Civil Engineering and the Urban Mobility Group . His work bridges transportation and energy systems through advanced optimization techniques. University: Chalmers University of Technology School: School of Architecture and Civil Engineering Department: Urban Mobility Group Academic Rank: Research Fellow Research Interests: Arsalan specializes in transportation electrification , multi-energy systems , and optimization methodologies . His current work focuses on integrating renewable energy with electric transport infrastructure, optimizing charging networks, and modeling urban mobility's environmental impact. Publication Trends: Recent outputs emphasize data-driven urban mobility solutions , electric bus energy modeling , and multi-sector energy optimization . Key journals include Transportation Research Part D , Applied Energy , and IEEE Access .