جستجوی استاد راهنمای دانشگاهی

Inam Nutkaniمشاهده پروفایل

مدرس ارشد

• Power Systems
• Renewable Energy
• Microgrids
• +۵ مورد دیگر

Dr. Inam Nutkani is a Senior Lecturer of Electrical Power Systems and Power Electronics at the School of Engineering, RMIT University, Australia. He holds an ORCID identifier (0000-0001-5827-6649) and is actively engaged in research collaborations with industry and academic partners. His professional experience spans over 25 years across roles in power utilities, consultancy firms, and research organizations, including positions at Experimental Power Grid Centre (EPGC), A*STAR (Singapore), and NESCOM (Pakistan). Dr. Nutkani has secured significant research funding, including a S$1.7M competitive grant as Lead PI and industry contributions of up to A$1M. Notable projects include the Neighbourhood Battery Initiatives (IndigoPower/DEECA/Vic Govt.), Local DER Network Solutions , and Donald and Tarnagulla Microgrid Feasibility Study (Federal Government). He also led the 3MW microgrid project at NESCOM, completed in under two years. His research interests focus on AC/DC/Hybrid Microgrids , including design, control, and management; Power Electronics converters and sensorless control strategies; and Electrical Power Design involving renewable energy impacts on grid reliability. He emphasizes distributed control mechanisms, grid stability under high renewable penetration, and adaptive protection systems for future grids. Dr. Nutkani advises on advanced topics such as inverter control requirements, fault ride-through strategies, and EV integration. He has supervised over 10 research projects, including Probabilistic Stability Analysis of Uncertain Power Systems (2025) and Grid Forming Inverter Control (2021). His work bridges academia and industry, with collaborations extending to organizations like CSIRO (Australia) and Bosch Energy Research Group (Singapore). He is a Senior Member of IEEE (SM’14) and holds Professional Engineer (PE) membership with Engineers Australia. His teaching portfolio includes courses like EEET2099 Variable Speed Drives and EEET2224 Power Electronic Converters at RMIT, along with prior roles at Nanyang Technological University and industry training programs on software tools like ETAP and DigSILENT PowerFactory.

• Constrained control
• Fault tolerant control
• Hybrid systems
• +۳ مورد دیگر

Maria M. Seron is an Associate Professor at The University of Newcastle's School of Engineering (Electrical and Computer Engineering Department). She holds a PhD from the same university (1996) and a Electronic Engineer degree from Universidad Nacional de Rosario, Argentina (1988). Her research focuses on constrained control, fault tolerant control, and hybrid systems. Seron has held roles including Research Fellow at the Centre for Complex Dynamic Systems and Control (since 2002) and Associate Professor at Universidad Nacional de Rosario (1999-2002). Collaborations : National collaborations include work with Prof. Graham Goodwin and Dr. Julio Braslavsky. International partnerships span institutions like CIFASIS (Argentina/France), SUPELEC (France), and GIPSA-lab (France). Teaching Expertise : Control systems. No administrative roles noted. Grants : Includes ARC Australian Research Fellowship (2006-2010) and Visiting Fellowships at CSIRO (2013-2014). Research Highlights : Contributions to matrix converter control, microgrid stability, and model predictive control (MPC) for diabetes management. Over 200 publications across journals and conferences, emphasizing control theory applications in power systems and biomedical engineering.

Georgios Konstantinouمشاهده پروفایل

دانشیار

• Power Electronics
• HVDC Transmission Systems
• Multilevel Converters
• +۷ مورد دیگر

Georgios Konstantinou is an Associate Professor in Energy Systems at the School of Electrical Engineering and Telecommunications, University of New South Wales (UNSW) Sydney. He leads the Real-Time Simulations Laboratory (RTS@UNSW), which hosts the largest Real-time Digital Simulation Laboratory in Australia. Dr. Konstantinou is also an ARC Future Fellow (FT240100038, 2025-2029) for the project "Integration and Stability of Power Electronics Defined Low Inertia Grids," and previously held an ARC Early Career Research Fellowship (DE170100370) focused on High-voltage DC grids. Dr. Konstantinou's educational background includes: PhD in Electrical Engineering from the University of New South Wales (UNSW), Sydney, Australia (2012) Thesis: "Harmonic Elimination Pulse Width Modulation of Modular and Hybrid Multilevel Converter Topologies" Diploma of Electrical Engineering (5-year degree, equivalent to Masters) from Aristotle University of Thessaloniki, Greece (2007) Graduate Diploma in University Learning and Teaching from UNSW (2015) His research focuses on power electronics and energy systems, with particular expertise in HVDC transmission systems, multilevel converters, real-time digital simulations, and hardware-in-the-loop testing. Dr. Konstantinou's work addresses critical challenges in grid integration of renewable energy and energy storage systems, with an emphasis on stability and control of power electronics-defined grids. His research bridges theoretical advancements with practical applications through close collaboration with industry partners including CSIRO and AGL. Analysis of Dr. Konstantinou's recent publications reveals a strong focus on grid-forming converters, digital twin technologies, and advanced control strategies for power systems with high renewable penetration. His work increasingly integrates artificial intelligence and machine learning techniques with traditional power system engineering to address stability challenges in low-inertia grids. Key themes include real-time simulation methodologies, fault analysis in HVDC systems, and innovative control approaches for power electronics interfaces. Dr. Konstantinou's scientific recognition includes: ARC Future Fellow (FT240100038, 2025-2029) ARC Early Career Research Fellow (DE170100370) Australia-China Young Scientist Exchange Program participant (2015) Next Steps Initiative Grant awardee (2016) Associate Editor for IEEE Transactions on Power Electronics Dr. Konstantinou actively supervises research students in areas including multilevel power electronics converters, HVDC systems, modular multilevel converters, and grid integration of large-scale renewable energy systems. His current research is supported by multiple grants totaling over $1.5 million, including an ARC Future Fellowship ($1,066,000), CSIRO Global Power System Transformation Initiative grants ($365,000 each), and various international collaboration grants. These projects focus on real-time simulation, grid integration of renewables, and stability of power electronics-defined grids. As the leader of the Real-Time Simulations Laboratory (RTS@UNSW), Dr. Konstantinou oversees Australia's largest Real-time Digital Simulation Laboratory with extensive capabilities in HVDC networks, multiterminal DC grids, power system protection relay testing, renewable energy systems, and smart grids. The laboratory serves as a critical resource for both academic research and industry collaboration, providing hardware-in-the-loop testing capabilities for next-generation power system technologies.

• 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.

• Power Electronics
• Renewable Energy Systems
• Energy Storage
• +۳ مورد دیگر

Prof. Dylan Lu is a Professor and Head of Discipline for Electrical Power and Energy Systems at the School of Electrical and Data Engineering, University of Technology Sydney (UTS). He holds a Ph.D. in Electronic and Information Engineering from The Hong Kong Polytechnic University (2004). Previously, he served as academic staff at the University of Sydney from 2006 to 2016, progressing from Lecturer to Associate Professor. His research focuses on power electronics, renewable energy systems, and grid integration, with an emphasis on converter topologies, control techniques, and power quality solutions for microgrids and energy storage systems. Prof. Lu's academic leadership includes roles as Associate Editor for IEEE Transactions on Industrial Electronics and IEEE Journal of Emerging and Selected Topics in Power Electronics. He chairs the IEEE NSW Joint Chapter PEL/IES/IAS and is a Senior Member of the IEEE. His teaching contributions include coordinating Renewable Energy Systems studios and supervising graduate projects in areas like electro-thermal modeling of power devices and three-port DC-DC converter synthesis. Research highlights include advancements in cascaded H-bridge converters, battery management systems, and grid-connected inverter control strategies. His work addresses challenges in high-efficiency power conversion, renewable integration, and energy storage reliability. Current projects explore fault-tolerant converter designs and predictive control algorithms for electric vehicle chargers.

Yam Siwakotiمشاهده پروفایل

دانشیار

• Power Electronics
• Renewable Energy Systems
• Multilevel Converters
• +۵ مورد دیگر

Associate Professor Yam Siwakoti holds a position at the University of Technology Sydney (UTS), leading research in power electronics and renewable energy systems. He has affiliations with the School of Electrical and Data Engineering and has collaborated with institutions like Fraunhofer ISE and the University of Oxford. Education: B.Tech in Electrical Engineering from National Institute of Technology, Hamirpur (2005) MEng in Electrical Power Engineering from Norwegian University of Science and Technology and Kathmandu University (2010) PhD in Electronic Engineering from Macquarie University (2014) Research focuses on high-efficiency power converters, multilevel inverters, and sustainable energy systems. Key interests include transformerless grid-connected inverters, battery management systems, and wide bandgap semiconductor applications. Notable achievements include the Friedrich Wilhelm Bessel Research Award (2022) and Green Talent Award (2016). He has supervised over 15 students and holds editorial roles in IEEE journals. His funded research projects focus on extending battery lifetimes and high-frequency magnetics design. Labs/Teams: Active in UTS' Power Electronics and Renewable Energy research groups, collaborating with industry partners like Re:Start on EV charging solutions.

• Data science in smart grids
• Electricity markets for renewable-rich power systems
• Network modelling/planning for renewable integration
• +۳ مورد دیگر

Dr. Jiajia Yang is a Senior Lecturer in Renewable Energy and Electrical Engineering at James Cook University (JCU), Australia. He holds a Ph.D. from the University of New South Wales (2018) and has extensive experience in power system modeling, renewable integration, and energy markets. Prior to JCU, he worked as a Senior Research Associate at UNSW and a Senior Power System Engineer in industry projects like the Renewable Energy Zone (REZ) programs. Education: B.E., Northeast Electric Power University, China (2011) M.E., Zhejiang University, China (2014) Ph.D., University of New South Wales, Australia (2018) Research Interests: Data science in smart grids Electricity markets for renewable-rich systems Localized/P2P trading mechanisms Hydrogen economy Recent Research Trends: Dr. Yang’s work focuses on decarbonizing power systems through innovative market designs, renewable integration, and cybersecurity. His 2024 studies emphasize hydrogen credit frameworks and carbon-neutral energy systems, while earlier projects address P2P trading and grid stability under high renewables. Awards: Outstanding Editorial Board Member (2023) Best Research Paper Award (2018) Advising & Grants: He coordinates teaching modules like Power Engineering 1/2 and leads the 2024 International Conference on Energy and Environment Engineering. His research is supported by projects like the North Queensland Transmission Grid Planning initiative (2024–2027). Labs/Teams: Engaged in IEEE PES roles, including IEEE Transactions on Industry Applications editorial work and chairing multiple conferences.

Feifei Baiمشاهده پروفایل

مدرس ارشد

• Renewable Energy Integration
• Power Systems
• Smart Grid Technology
• +۴ مورد دیگر

Dr. Feifei Bai is a Senior Lecturer at the School of Electrical Engineering and Computer Science, University of Queensland (UQ), and an adjunct Senior Research Fellow at Griffith University. She holds an Advance Queensland Fellowship (2018) and has secured over $4.6M in research grants. Her research focuses on renewable energy integration, power system stability, and smart grid technologies. She collaborates with industry partners like Energy Queensland and Powerlink, and her work has led to commercialized patents and an Australian Engineering Excellence Award (2020). Education: PhD in Engineering from Southwest Jiaotong University. Active editorial roles include Associate Editor for IET Generation, Transmission & Distribution and Assistant Editor for International Journal of Green Energy. Research Interests: Renewable energy systems, synchrophasor applications, power system oscillation control, and cybersecurity. Her work bridges theoretical advancements with practical industry solutions, emphasizing grid resilience and efficient energy management. Publications: Over 75 journal/conference papers (2025 highlights include EV charging optimization, microgrid scheduling, and Bayesian frequency modeling). Her research trends emphasize smart grid innovation, renewable integration challenges, and advanced control strategies for high-renewable grids. Awards: Advance Queensland Fellow (2018), Australian Engineering Excellence Award (2020). Grants & Industry: $4.6M in funded projects. ARENA-backed research on EV charging infrastructure received national recognition. Active in industry partnerships for technology deployment. Labs/Teams: Leads the Power & Energy Systems Research Group at UQ, contributing to initiatives like the Flexible Urban Energy Systems special issue (2021).

Chunnong Zhaoمشاهده پروفایل

دانشیار

• Gravitational Wave Astronomy
• Optomechanics
• Laser Interferometry
• +۳ مورد دیگر

Chunnong Zhao is an Associate Professor at the School of Physics, Maths and Computing at The University of Western Australia. His research focuses on experimental gravitational wave physics and precision measurement technologies, particularly addressing high-optical power effects in laser interferometers. He pioneered work on parametric instability mitigation, which was critical for the Advanced LIGO project. His innovations include opto-acoustic parametric amplifiers and optomechanical filters, enabling ultra-sensitive gravitational wave detection. Current projects involve developing optomechanical negative dispersion technology to improve detector sensitivity at high frequencies. Research Interests: Gravitational wave detection technology Optomechanical systems and quantum optomechanics Parametric instability control in interferometers Optical cavity stabilization techniques Laser interferometry applications Binary neutron star merger signal analysis Grants & Projects: Tilt sensors for 6D seismology Australian Partnership in Advanced LIGO+ Quantum Australia Centre Renewable Microgrid Pilot for Gravitational Wave Facilities Led collaborations on Advanced LIGO's parametric instability suppression and developed novel optomechanical devices for next-generation detectors. Current research explores quantum-limited optomechanical sensors and negative dispersion applications in gravitational wave astronomy.

Foad Taghizadehمشاهده پروفایل

مدرس

• Electric Vehicle Technology
• Power Electronics
• Renewable Energy Integration
• +۳ مورد دیگر

Dr Foad Taghizadeh is a Lecturer in electrical engineering at Macquarie University, Australia, where he also held prior research fellowships. He holds honorary visiting scholar positions at the University of Technology Sydney and Griffith University. His research focuses on electric vehicle (EV) charging systems, grid integration of renewables, and microgrid technologies. He earned his PhD in Electrical Engineering from Macquarie University in 2018. Education: PhD in Electrical Engineering, Macquarie University (2018) Research interests include EV charging infrastructure, grid impact analysis, renewable energy integration, and energy storage systems. His work addresses challenges in high-speed EV charging, microgrid stability, and converter control for distributed energy resources. Awards and Honors: Fellow of Higher Education Academy (FHEA), UK (2020) Highly Commended Finalist, Vice-Chancellor's Learning & Teaching Early Career Award (2022) New South Wales Fresh Science Award (2019) FSE Excellence in Early Career Teaching Award (2022) Current Projects: Wireless power transfer for heavy EVs and marine vessels (2024–2027) Development of economically sustainable EV charging facilities Modular microgrid for NSW sustainable development Labs/Teams: Active in Macquarie University's energy systems research group and collaborates with industry partners on EV charging infrastructure projects.

• Power Systems
• Renewable Energy
• Power Electronics
• +۱ مورد دیگر

Gerard Ledwich is an Adjunct Professor at Queensland University of Technology's School of Electrical Engineering & Robotics, where he serves as Discipline Leader for Power Engineering and Theme Leader at the Institute for Future Environments. His research group focuses on risk-managed distribution planning, wide-area grid controls, demand management, and power electronics applications including microgrid control and power hardware-in-the-loop systems. Research interests include: Electricity industry restructuring and market design Renewable energy integration challenges Advanced power electronics for grid stability Interconnection of state electricity networks Recent publications (2022-2024) primarily investigate grid stability solutions for renewable integration, distribution network optimization, and advanced control algorithms for power converters. Work consistently addresses challenges in transitioning to sustainable energy systems through computational methods and hardware innovations. Currently supervises doctoral research on superconducting systems. Secured multiple Australian Competitive Grants including: LP140100923: Customer Responsive Risk-Managed Network Planning LP120100302: Increased power transfer through SVC control Leads the Power Engineering Group at QUT and collaborates internationally through the Institute for Future Environments.

Jason Fordمشاهده پروفایل

استاد

• Robotics
• Decision Systems
• Autonomous Systems
• +۴ مورد دیگر

Jason Ford is a Professor of Electrical Engineering at Queensland University of Technology (QUT), leading research in trustworthy autonomous systems and decision-making under uncertainty. He holds positions in QUT's Centre for Robotics and Centre for Data Science. Ford earned his PhD from the Australian National University (ANU) and has over 20 years of experience in aerospace, energy, and defense sectors. His research focuses on model-based filtering, estimation, and decision systems for dynamic environments, with applications in aerial autonomy, infrastructure inspection, and low-signal-to-noise detection. Education: B.Sc. and B.E. (1995), PhD (1998), all from ANU. Professional Experience: Research Scientist at DSTG (1998-2004), Research Fellow at UNSW (2004-2005), QUT faculty since 2005, promoted to Professor in 2019. Research Interests: Robust autonomous systems, vision-based sense-and-avoid, model-driven decision systems, and resilient robotic technologies. His work on ROAMES asset management systems has saved Queensland $40M/year and won international awards. Awards: 2019 Academic of the Year (Australian Defence Industry), multiple best paper awards, and industry recognition for collision avoidance and UAV technologies. Grants: Over $10M in competitive research funds since 2009. Supervision: 8 completed HDR students since 2008, teaching control systems and autonomous systems to 1000+ undergraduates. Labs/Teams: Program Lead for Decision and Control in QUT's Robotics Centre, collaborator with industry partners like Insitu Pacific and Caterpillar.

Terrence W.K. Makمشاهده پروفایل

مدرس

• Mathematical Optimization
• Machine Learning
• Energy Systems
• +۵ مورد دیگر

Terrence W.K. Mak is a Lecturer in the Department of Data Science & AI at Monash University, within the Faculty of IT. He is affiliated with the Monash Energy Institute and Monash Data Futures Institute, focusing on interdisciplinary research at the intersection of mathematical optimization, machine learning, and energy systems. His work addresses climate change challenges in the energy sector, such as net-zero emissions and climate-resilient infrastructure. Academically, he holds a PhD from the Australian National University (2018), MPhil and BSc from the Chinese University of Hong Kong (2011, 2009). He has held postdoctoral and research roles at Georgia Tech and the University of Michigan, collaborating extensively with Prof. Pascal Van Hentenryck and Prof. Jimmy Lee. His research emphasizes combining machine learning and optimization to solve energy sector problems, including smart grid technologies, disaster management, and sustainable informatics. Key collaborations include ARPA-E projects (e.g., Grid Optimization Competition), US national laboratories, and industry partners like RTE France and Origin Energy. Recent projects include Grid Guru (AI-driven grid optimization) and consultancy for Origin Energy. He supervises PhD students focusing on deep learning and nonlinear optimization for smart grids.

Baran Yildizمشاهده پروفایل

پژوهشگر ارشد

• Distributed energy resource integration
• Demand response systems
• Smart home energy management
• +۵ مورد دیگر

Baran Yildiz is a Senior Research Fellow at the Centre for Energy and Environmental Markets (CEEM) and a lecturer at the School of Photovoltaic and Renewable Energy Engineering (SPREE) at the University of New South Wales. His research focuses on distributed energy systems, demand response, and smart grid integration. He holds a PhD in load forecasting & smart home energy systems from UNSW. Research interests include: Integration of distributed energy resources Demand response and side management Smart home energy systems Grid-connected PV systems Microgrids Baran leads major projects like SolarShift (RACE for 2030) and Flexible Demand Trial (ARENA), collaborating with industry partners. His work has been featured in AEMC, ESB, CRC, and media outlets. Publications highlight his expertise in solar-battery systems, EV charging emissions, water heater optimization, and grid constraint mitigation. He teaches SOLA 4012 Photovoltaic Systems Design.

John Fletcherمشاهده پروفایل

استاد

• Electrical Engineering
• Power Engineering
• Renewable Energy
• +۷ مورد دیگر

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.