Find Academic Supervisors

• Microgrid Control and Optimization
• Networked Control Systems
• Distributed Filtering and Sensing
• +4 more

Professor Fuwen Yang is a leading academic at Griffith University's School of Engineering and Built Environment, specializing in Electrical and Electronic Engineering. With expertise in microgrid control, networked control systems, and renewable energy integration, he leads the Smart Energy Systems Group at the Institute for Intelligent and Integrated Systems. His research focuses on optimizing distributed energy resources and enhancing grid resilience through advanced control strategies. Current research aligns with Australian net-zero emissions goals Secured significant grants including ARC Discovery and Linkage projects Supervises 23 PhD and 35 Master's students Recent publications highlight innovations in virtual inertia control, digital twin frameworks, and data-driven predictive control. His work has earned global recognition, including the Stanford Top 2% Researchers list and Fellowships from Engineers Australia. Professor Yang's editorial roles include Associate Editor for IEEE Transactions on Industrial Informatics and other prominent journals. Acted as Chief Investigator on 8 major funded projects Contributed to Sustainable Development Goals 7 (Affordable Energy) and 9 (Infrastructure Innovation)

Teuku GeumpanaView profile

Lecturer

• Cloud Computing
• Disaster Response Management
• Internet of Things
• +5 more

Dr. Teuku Geumpana is a Lecturer in Computing and Information Technology at the School of Information and Physical Sciences , University of Newcastle. With a PhD from the University of New South Wales and over 18 years of academic and industry experience, he focuses on pedagogical innovation, disaster response systems, and renewable energy optimization. Education: PhD in Computer Science Engineering (UNSW), BIT (Honours) from International Islamic University Malaysia Teaching: Coordinates project management and professional practice courses for cohorts exceeding 500 students annually Research Interests : Combines cloud computing, IoT, and disaster management with applications in health informatics and renewable energy. His work addresses social-technical challenges in emergency data transmission and techno-economic analysis of hybrid energy systems. Publications highlight trends in: Disaster mitigation using GIS and cloudlet architectures AI-driven healthcare monitoring (e.g., chest X-ray analysis for pandemic severity) Technopreneurship education frameworks for disaster-prone regions Optimization of solar-wind-grid hybrid systems in Indonesia Professional Contributions : Coordinates multi-campus course delivery, develops industry-linked curricula, and engages in interdisciplinary collaborations. His work bridges ICT with sustainability and humanitarian challenges.

Farzad FarajizadehView profile

Research Fellow

• Power Electronic Converters
• Wireless Power Transfer Systems
• Renewable Energy Conversion
• +4 more

Farzad Farajizadeh is a Research Fellow in Power Engineering at the School of Engineering, The University of Western Australia (UWA). He holds a PhD in Electrical Engineering from Queensland University of Technology (2021), specializing in wireless power transfer systems for dynamic chargers. Previously, he served as a post-doctoral researcher at the University of Queensland, focusing on electromagnetic interference modeling in power electronic systems. His research interests encompass power electronic converters, renewable energy systems, wireless power transfer (WPT), and FACTS technologies. He leads projects on stackable multi-level power electronic modules and has contributed to advancements in dynamic WPT for applications like electric vehicle charging. His work aligns with UN Sustainable Development Goals, particularly in sustainable energy and innovation. Farajizadeh has authored over 20 peer-reviewed publications, including studies on grid-side current oscillations, EMI mitigation in IPT systems, and control strategies for cascaded multilevel inverters. He is a co-investigator on the ARC-funded Renewable Microgrid Pilot for Gravitational Wave Facilities project, addressing energy resilience in remote infrastructure. His research bridges theoretical analysis and experimental validation, with applications in smart grids, renewable integration, and high-efficiency power systems. Key contributions include novel converter designs for dynamic WPT and harmonic mitigation techniques in parallel grid-tied inverters.

Frits de NijsView profile

Research Fellow

• Artificial Intelligence
• Renewable Energy Systems
• Reinforcement Learning
• +3 more

Frits de Nijs is a Research Fellow in the Department of Data Science & AI at Monash University. His work focuses on advancing artificial intelligence techniques for energy systems optimization, multi-agent decision-making, and sustainable infrastructure. He has contributed to projects such as the Human-in-the-loop Microgrid Project and RACE for 2030 CRC, addressing challenges in renewable energy integration and smart grid management. Key research areas include reinforcement learning applications for energy curtailment, HVAC control systems, and resource-constrained multi-agent planning. His projects often bridge AI methodologies with real-world energy challenges, aiming to enhance grid reliability, carbon efficiency, and fair resource allocation. Notable collaborations involve researchers in machine learning, sustainable energy, and building automation. He has actively participated in 6 major research projects since 2020, including initiatives on AI-ready buildings and probabilistic multi-agent learning environments. His publications span conferences like AAAI, NeurIPS, and IEEE Power & Energy Society events, emphasizing peer-reviewed contributions to energy-AI intersections.

• Power Systems
• Renewable Energy
• Estimation Theory
• +3 more

Tyrone Fernando is a Professor at the University of Western Australia (UWA), Department of Electrical, Electronic and Computer Engineering (EECE) within the School of Engineering. He joined UWA in 1996 after earning his BE (Honours) in 1990 and PhD in 1996 from the University of Melbourne. His professional roles include Deputy Head of School (2009–2010) and editorial leadership for journals like IEEE Transactions on Circuits and Systems II and IEEE Access. He is a Senior Member of IEEE and former Chair of the IEEE Circuits and Systems Society’s Power and Energy Technical Committee. Education: Bachelor of Engineering with Honours (1990), University of Melbourne Doctor of Philosophy (1996), University of Melbourne Research Interests: His work focuses on power systems, renewable energy integration, and estimation theory applications. Key emphases include DC microgrid control, advanced battery technologies (e.g., vanadium redox, lithium-ion), model predictive control (MPC) strategies, and sensorless control methods for motor drives. He also investigates stability criteria for power systems with high penetration of power electronics and energy storage optimization. Grants & Projects: He leads grants such as: Seeding marine innovation in SW WA with a WEC deployment in Albany (Blue Economy CRC, 2021–2025) Mine Electrification (CRC for Future Battery Industry FBI, 2022–2024) Project Symphony (Western Power, 2021–2023) These initiatives address grid resilience, battery-electric vehicle infrastructure, and renewable energy integration challenges. Awards: Outstanding Engineer award, IEEE PES WA Chapter (2019) Collaborations: His research involves interdisciplinary teams and industry partners, including Western Power and the Department of Industry, Science and Resources (Australia). He contributes to projects like DC-link capacitance estimation and stability analysis of offshore wind farms.

Mahdi JaliliView profile

Professor

• Complex Networks
• Dynamical Systems
• Control Systems
• +3 more

Professor Mahdi Jalili is a faculty member at the School of Engineering, RMIT University, Australia. His research focuses on complex networks, dynamical systems, control systems, graph theory, and machine learning applications. He actively supervises research students in areas such as vehicle-to-home (V2H) technology, AI-driven sustainability solutions, and smart grid optimization. His work integrates theoretical frameworks with practical applications in energy systems, transportation, and data analytics. Education: Not explicitly detailed in the text. Research interests include network control, machine learning for energy analytics, and the integration of renewable energy systems. His recent projects address challenges in electric vehicle infrastructure, grid stability, and distributed energy resource management. Collaborations focus on advancing smart grids and sustainable urban transportation systems. Publications span journals like Expert Systems with Applications and IEEE Transactions , covering topics from graph neural networks to grid-forming inverter placement. His work emphasizes interdisciplinary solutions for modern energy and transportation challenges.

Xinghuo YuView profile

Professor

• Control Systems
• Complex Networks
• Cyber-Physical Systems
• +3 more

Xinghuo Yu is a Distinguished Professor and Vice-Chancellor's Professorial Fellow in the School of Engineering at RMIT University (Australia). He holds leadership roles, including Associate Deputy Vice-Chancellor and Chair of the RMIT Professorial Academy. His academic career spans over three decades, with prior positions at the University of Adelaide and Central Queensland University. Research & Awards: Yu specializes in Control Systems, Complex Networks, Cyber-Physical Systems, Smart Grids, and Artificial Intelligence. He has been recognized with prestigious awards, including the Australasian Artificial Intelligence Distinguished Research Contribution Award (2018) , M A Sargent Medal (2018) , and IEEE Industrial Electronics Society Achievement Award (2013) . He is a Fellow of the Australian Academy of Science, IEEE, and Engineers Australia. Leadership & Engagement: Yu has held executive roles such as President of IEEE Industrial Electronics Society (2018–2019) and Non-Executive Director of Oceania Cyber Security Centre. His research bridges theory and application, with over 1,000 publications and recognition as a Clarivate Highly Cited Researcher in Engineering (2015–2024). Labs & Collaborations: Leads the Intelligent Informatics and Control Research Group , focusing on smart grid optimization, cyber-physical systems, and AI-driven solutions for energy and security challenges. His work addresses real-world issues like renewable energy integration, electric vehicle infrastructure, and resilient power systems.

• Power System Stability
• Renewable Energy Integration
• Wind Farm Planning
• +4 more

Dr. Yuchen Zhang is a Lecturer and ARC DECRA Fellow at the School of Electrical Engineering & Robotics, QUT. He holds a PhD in Electrical Engineering from UNSW (2018), alongside Bachelor degrees in Engineering and Commerce. His research focuses on power system stability, renewable energy integration, wind farm planning, smart grid technologies, and AI applications in power engineering. His work bridges interdisciplinary approaches in energy systems and data-driven methodologies. Education: Bachelor of Engineering (2013) Bachelor of Commerce (2013) PhD in Electrical Engineering (2018), UNSW Research Interests: Power system stability assessment and control, grid integration of renewables, wind farm planning, smart grid technologies, smart city infrastructure, and AI-driven system development. Awards: 2020 Best Paper Award for IET Smart Cities for work on smart campus frameworks. Grants & Projects: Leads the ARC-funded project 'Data-driven Wide-area System Strength Monitoring under Weak Grid Conditions' (2024–present), focusing on enhancing power grid resilience through real-time monitoring and control strategies. Teaching: Coordinates courses on renewable energy systems and power systems management. Engages in industry collaborations across renewable energy, maritime services, and IEEE standards development. Future Work: Expanding research into electrified logistics integration, smart city energy systems, and AI-driven emergency control mechanisms for power grids.

Branislav HredzakView profile

Researcher

• Control and management of distributed renewable energy resources
• Reconfigurable and hybrid energy storage systems
• Advanced control systems for power electronic converters
• +4 more

Dr. Branislav Hredzak is a researcher at the Faculty of Engineering , University of New South Wales . His work focuses on power electronics, renewable energy systems, and advanced control strategies for energy storage and smart grids.

• Hydrogen Energy Technologies
• Materials Physics
• Energy Systems Modelling
• +3 more

Evan Gray is a Professor at Griffith University's School of Environment and Science (Applied Mathematics and Physics). He leads the National Hydrogen Materials Reference Facility, specializing in hydrogen storage materials, superconductors, and energy systems modeling. His research focuses on deploying hydrogen energy technologies in Australia, particularly through the Sir Samuel Griffith Centre's integrated hydrogen ecosystem (electrolyser, storage, fuel cell). Key research interests include hydrogen storage materials characterization, energy system modeling, and infrastructure resilience. He has pioneered studies on hydrogen embrittlement in steels and advanced metal-hydride compressor designs. Awards include Fellow of the Australian Institute of Physics. Recent grants include a $728k Blue Economy CRC project (2024–2027) modeling hydrogen microgrids with a 700kW electrolyser. Supervision focuses on hydrogen storage alloys, nanomaterials for energy storage, and polymer-coated metal hydrides. His work bridges fundamental physics with applied energy solutions, emphasizing Australia's renewable energy transition.

• Renewable Energy Technologies
• Power Electronic Converters
• Power Quality and Reliability
• +4 more

Dr. Md Rabiul Islam is an Associate Professor at the School of Electrical, Computer and Telecommunications Engineering at the University of Wollongong (UOW), Australia. His research focuses on renewable energy technologies, power electronics, smart grids, and electrical machines. He holds a Ph.D. in electrical engineering from the University of Technology Sydney (2014) and has over 400 publications including 130 IEEE Transactions papers and 9 authored/edited books. He has secured $5.48M in ARC grants, including leadership in the ARC Training Centre in Energy Technologies for Future Grids. Dr. Islam's research interests span renewable energy systems, power electronic converters, grid stability, and hydrogen energy integration. He leads projects on solid-state transformers, grid resilience, and high-frequency magnetic links. His work has been recognized with IEEE Best Paper Awards and over 20 conference awards. He serves as Associate Editor for IEEE Transactions on Industrial Electronics and Energy Conversion, and as Book Series Editor for Taylor & Francis. His academic contributions include pioneering advancements in multiport converters, grid-connected inverters, and energy storage systems. Current supervision focuses on advanced control techniques for grid stability and inverter performance optimization.

• Power Electronics
• Photovoltaic Systems
• Renewable Energy Integration
• +4 more

Associate Professor Weidong Xiao is affiliated with the School of Electrical and Computer Engineering at The University of Sydney, part of the Faculty of Engineering. He holds a MASc and PhD from the University of British Columbia, Canada. His research focuses on power electronics, photovoltaic systems, and renewable energy integration, with notable contributions to wireless power transfer, DC microgrids, and grid stability. He is a member of the Sydney Southeast Asia Centre and the Net Zero Institute, reflecting his commitment to sustainable energy solutions. His work includes authored books such as Power Electronics Step-by-Step (2020) and Photovoltaic Power System: Modeling, Design and Control (2017). His research addresses challenges in energy conversion efficiency, fault diagnosis in PV systems, and advanced control strategies for distributed energy resources. Key projects include developing novel coil structures for wireless power transfer, predictive control schemes for photovoltaic systems, and resilient microgrid architectures. His publications span journals like IEEE Transactions on Power Electronics and conferences such as AUPEC and IECON. His lab, the Centre for Future Energy Networks, explores next-generation energy systems, emphasizing smart grids and DC power distribution. Collaborations with industry and government bodies aim to translate research into practical solutions for sustainable energy infrastructure.

• Electrical Power Engineering
• Renewable Energy Integration
• Power Quality
• +12 more

Sarah Lyden is a Senior Lecturer in Electrical Power Engineering at the School of Engineering, University of Tasmania, where she also serves as Associate Head of Learning and Teaching. She is actively engaged in research, supervision, and teaching innovation, with a strong focus on renewable energy integration, power quality, and engineering education reform. Institution: University of Tasmania School: School of Engineering Department: Department of Electrical Power Engineering Email: Sarah.Lyden@utas.edu.au ORCID: 0000-0002-5364-6011 Her research interests span both technical and educational domains. In engineering, she focuses on electrical power systems, harmonics, renewable integration (especially agrivoltaics), hydrogen-diesel systems, and battery storage. In education, she investigates laboratory learning, assessment integrity in the age of generative AI, and sustainability integration in engineering curricula. Her recent publications reflect a dual focus: on one hand, technical advancements in power system monitoring, harmonic analysis, and renewable integration; on the other, transformative work in engineering pedagogy, particularly in response to AI-driven changes in assessment and learning. This interdisciplinary trend highlights her commitment to both technical innovation and educational excellence. Sarah Lyden has been involved in several significant funded projects, including the ARC Training Centre in Energy Technologies for Future Grids and projects on power quality, solar penetration in Tasmania, and isolated power systems. These grants underscore her leadership in energy research and collaboration with national and industry partners. She actively supervises doctoral and master’s students, with completed and ongoing projects in harmonic analysis, hydrogen-diesel engines, photovoltaic integration, and energy storage control. Her team includes researchers working on AI applications in power systems and sustainable energy systems.

• Control Systems
• Nonlinear Control
• Model Predictive Control (MPC)
• +5 more

Dr. Ruigang Wang is a Research Fellow at the Australian Centre for Field Robotics (ACFR) within the Faculty of Engineering at The University of Sydney. His work focuses on advanced control theory, machine learning integration into control systems, and nonlinear systems analysis. Key areas include model predictive control (MPC), robust stability guarantees for neural networks, and distributed control architectures for industrial and robotic systems. Research interests span: Nonlinear Control & Stability Analysis Machine Learning for Control (neural networks with certified robustness) Model Predictive Control (MPC) for nonlinear/uncertain systems Robotic Systems & Field Robotics Optimization-based control strategies Energy storage and microgrid control Publications emphasize theoretical contributions to contraction theory, Lipschitz-bounded neural networks, and MPC applications. Recent work includes stable-by-design neural feedback policies (Youla-REN), convex parameterizations for robust recurrent networks, and distributed control frameworks for plantwide systems. Labs/Teams: Core member of the Australian Centre for Field Robotics, collaborating with leading researchers in control systems and robotics.

Hossein Dehghani TaftiView profile

Research Fellow

• Grid Integration of Renewable Energy
• Photovoltaic Systems
• Power Electronic Converters
• +3 more

Hossein Dehghani Tafti is a Research Fellow at the Department of Electrical, Electronic and Computer Engineering, University of Western Australia. His work focuses on grid integration of renewable energy systems, photovoltaic technologies, and power electronics. He holds a PhD from Nanyang Technological University (2018) and has held research positions at NTU and UNSW. His expertise includes photovoltaic inverter control, energy storage systems, and microgrid operations. Education: B.Sc. (Amirkabir University, 2009), M.Sc. (Amirkabir, 2011), PhD (Nanyang Technological University, 2018) Research interests span grid-integrated renewables, multilevel converter design, and sustainable energy solutions. His recent work emphasizes flexible power point tracking algorithms and grid stability under partial shading conditions. He contributed to the book Advanced Multilevel Converters and Applications in Grid Integration (Wiley, 2018). He leads a grant-funded project on renewable microgrids for gravitational wave facilities (ARC, 2022–2024), demonstrating expertise in applied research and interdisciplinary collaboration.