جست‌وجوی استاد و پژوهشگر

• Electrical Engineering
• Power Systems
• Renewable Energy
• +۵ مورد دیگر

Professor Grahame Holmes is an Honorary Professor in the School of Engineering at RMIT University, Australia. His expertise spans electrical energy conversion, smart energy systems, renewable energy integration, power electronics, and grid infrastructure. He focuses on advancing technologies for sustainable energy storage, grid stability, and high-efficiency power conversion. Research Interests : Electrical and Electronic Engineering, Communications Technologies, Power Electronics, Renewable Energy Systems, and Grid Integration Solutions. His work emphasizes practical applications such as hydrogen energy storage systems, grid-interactive inverters, and modular multilevel converters. Recent Contributions : Prof. Holmes has published extensively on topics like advanced PWM techniques, resonant current controllers, and DC transformer designs. His research bridges theoretical advancements with real-world implementations, addressing challenges in smart grid stability and high-frequency power conversion. Advising & Grants : Supervised projects include 'Hydrogen Energy Storage System for Nanogrid' (2015) and 'Synchronised Control of Grid-Interactive Inverters' (2015). While specific grant details are not listed, his work aligns with major themes in sustainable energy research. Labs & Collaborations : Engages in collaborative research through RMIT's facilities, focusing on hardware-software co-simulation frameworks and FPGA-based real-time systems.

• Networked Control Systems
• Cyber-Physical Systems
• Cybersecurity
• +۴ مورد دیگر

Professor Daniel Quevedo is a leading academic in Electrical and Computer Engineering at The University of Sydney. Previously, he held positions at Queensland University of Technology and Paderborn University, Germany, where he founded the Chair in Automatic Control. He earned his PhD from the University of Newcastle (Australia) and MSc/Ing. degrees from Universidad Técnica Federico Santa María (Chile). His research focuses on networked control systems, cyber-physical systems, and cybersecurity, with contributions to state estimation, control of power converters, and human-in-the-loop systems. He has pioneered work integrating machine learning, behavioral economics, and advanced mathematics to address challenges in interconnected digital-physical environments. Quevedo serves as Associate Editor for IEEE Transactions on Control of Networked Systems and IEEE Control Systems. He chairs the Committee of Experts for Germany’s Excellence Strategy on Digital Methods and has held leadership roles in IEEE technical committees. Notable awards include the IEEE Axelby Outstanding Paper Award (2018) and multiple fellowships. Teaching includes advanced control systems courses like Reinforcement Learning and Optimal Control. He is a Fellow of the IEEE and has published over 200 peer-reviewed articles, with recent work emphasizing privacy-preserving state estimation, resilient control systems, and energy-efficient wireless control. His research labs explore topics such as human-machine collaboration, cybersecurity in Industry 5.0, and data-driven control strategies. Current projects include secure remote state estimation frameworks and adaptive control under adversarial conditions.

• Control Theory
• Advanced Control Systems
• Model Predictive Control
• +۷ مورد دیگر

Liuping Wang is a Professor in the School of Electrical and Computer Engineering at RMIT University, Australia, since 2007. He serves as Head of Discipline for Electrical Energy and Control Systems since 2005 and teaches Advanced Control Systems (EEET 2100) and Real Time Estimation and Control (EEET 2221). Current academic rank: Professor Location: City Campus, Australia Industry collaborators: ANCA, Australian Power Academy, Advanced Manufacturing CRC His research interests span: Control Theory with applications to UAVs and industrial processes Development of Model Predictive Control systems System Identification using neural networks Robust Control for constrained systems Control of AC motors and power electronics Applications in biomedical research and food process monitoring The 15 most recent publications (2015-2025) demonstrate expertise in: UAV control systems with segmented surfaces Battery condition monitoring for electric vehicles Mult-agent robotics with coordination algorithms Smart grid security and electricity dispatch GPS-denied localization for mobile robots Disturbance observer control with input constraints As a supervisor, he oversees Masters Research and PhD projects but no specific student names are listed. His email is liuping.wang@rmit.edu.au for collaboration or supervision inquiries.

• Model Predictive Control
• Power Electronics
• Renewable Energy Integration
• +۵ مورد دیگر

Ricardo Aguilera Echeverria is an Associate Professor at the University of Technology Sydney (UTS), School of Electrical and Data Engineering . With a Ph.D. in Electrical Engineering from the University of Newcastle (2012), he has held academic positions at UNSW Australia (2014-2016) and UTS since 2016. His research focuses on model predictive control (MPC) applied to power electronics , renewable energy integration , and microgrid control systems . He actively supervises Masters and PhD students and has developed courses such as Control Studio A and Control Studio B . Education: PhD in Electrical Engineering (University of Newcastle, 2012) MSc in Electronics Engineering (Universidad Tecnica Federico Santa Maria, 2007) BSc in Electrical Engineering (Universidad de Antofagasta, 2003) Research Interests: Model Predictive Control (MPC) for power converters Microgrid stability and cybersecurity Second-life battery integration Hybrid DC-AC microgrid solutions Recent Research Trends: Advancements in modular multilevel matrix converters (M3C) for LFAC systems Development of per-phase instantaneous power theories for LVRT compensation Sliding mode observers (SMO) for cyberattack mitigation in AC microgrids Optimal control strategies for delta-connected CHB converters in energy storage Grants & Projects: Lead investigator in HORIZON Europe (2024-2027) on digital solutions for renewable energy systems ARC Discovery Project (DP240102646) on extending second-life battery life (2024-2026) Collaborative grants with Sovereign Propulsion Systems Pty Ltd and NSW Department of Industry for hybrid-electric vehicle control

• Renewable Energy Systems
• Power Electronics
• Green Hydrogen Technology
• +۳ مورد دیگر

Dr. Saman A. Gorji is a Senior Lecturer in Electrical & Renewable Energy Engineering at Deakin University's School of Engineering. His work focuses on advancing renewable energy systems, particularly in DC microgrids, green hydrogen, and power electronics. He holds a PhD from Swinburne University of Technology and has held visiting roles at Queensland University of Technology and as a CSIRO International Hydrogen Research Fellow. His research emphasizes translating R&D into practical solutions, such as integrating renewable energy microgrids and green hydrogen technologies. Research Interests: Power Electronics, Green Hydrogen Production, DC Microgrid Control, Energy Storage Systems, and Smart Grid Technologies. He has led major grants including the 2024 CSIRO Hydrogen Fellowship and the FEnEx CRC projects. His teaching includes units like 'Energy Efficiency, Management and Market Analysis' and micro-credentials in renewable energy microgrids. Current doctoral students are researching topics like virtual inertia control and electrolyser integration. Grants: Over $1.1M in funding, including industry collaborations with Barwon Water and CSIRO. Awards: IEEE paper awards (2017), Senior IEEE membership, and Harvard Leadership certification (2025). Lab/Team: Leads Deakin's Renewable Energy Microgrid research, focusing on hydrogen and grid integration.

• Renewable Energy Systems
• Thermal Energy Storage
• Building Energy Efficiency
• +۴ مورد دیگر

Professor Zhenjun Ma is a Professor and Deputy Director of the Sustainable Buildings Research Centre (SBRC) at the University of Wollongong. He holds a PhD from The Hong Kong Polytechnic University and has expertise in renewable energy systems, thermal energy storage, and building energy efficiency. His research focuses on advancing sustainable HVAC solutions, building control optimization, and demand flexibility in energy systems. He has received prestigious awards including the World Society of Sustainable Energy Technologies Innovation Award and Excellence in HVAC&R Research from AIRAH. Education: BEng and MSc from Xian Jiaotong University; PhD from Hong Kong Polytechnic University. Current academic roles include editorial board memberships in journals like Renewable Energy and Energy Conversion and Management , and leadership in initiatives like the NSW Decarbonisation Innovation Hub. Research Interests: Renewable energy integration in buildings, thermal storage technologies, data-driven building analytics, and grid-to-building energy systems. Active in over 40 funded projects, including grants from Australia's Department of Industry and the NSW Government. Awards: Invitational Fellowship from Japan Society for the Promotion of Science (2025), Fellow of AIRAH (2021), and multiple best paper awards. Supervises over 30 PhD/Master’s students on topics like energy flexibility optimization and net-zero building systems. Labs/Teams: Leads SBRC’s energy efficiency and sustainability research clusters. Collaborates with industry partners like BlueScope Steel on solar energy solutions.

Feng Anمشاهده پروفایل

پژوهشگر ارشد

• Renewable Energy Power Conversion
• Power Electronic Converters
• Optimized Power System Operation
• +۳ مورد دیگر

Dr. Feng (Chris) An is a Postdoctoral Research Fellow at the School of Electrical Engineering and Computer Science, University of Queensland. He holds a Ph.D. in Electrical Engineering from Tsinghua University (2023) and joined UQ in 2024. His research focuses on renewable energy power conversion, power electronics topology/control, and optimized power system operation with integrated power electronic devices. He is a reviewer for top-tier journals like IEEE Transactions on Power Electronics and has been recognized in the Stanford/Elsevier Top 2% Scientists List 2024. Education: Ph.D. in Electrical Engineering, Tsinghua University, 2023 Research Interests: Renewable energy systems, power electronic converters, grid integration, energy storage systems, and power system modeling. Publications: Over 16 peer-reviewed articles in journals like IEEE Transactions and conference proceedings, focusing on DC transformers, energy storage, and grid resilience. Awards: Stanford/Elsevier Top 2% Scientists List 2024 He advises students in renewable energy and power conversion and collaborates with the Power & Energy Systems Research Group. His work addresses challenges in high-renewable grids and power system stability.

• Irrigation control systems
• Machine vision for soil and plant sensing
• Automation in agriculture
• +۵ مورد دیگر

Associate Professor Alison McCarthy is a mechatronic research engineer at the University of Southern Queensland, affiliated with the Centre for Agricultural Engineering. She specializes in irrigation and cropping systems, focusing on automation, machine vision, and sensor-based control technologies to improve agricultural efficiency and sustainability. Research Interests: Irrigation control systems Machine vision for soil and plant sensing Automation in agriculture Variable-rate irrigation Agricultural spatial analysis and modelling Her recent research output demonstrates a strong trend in developing and evaluating automated, real-time systems for irrigation, nitrogen management, and crop monitoring across cotton, dairy, and grain crops. She leverages machine vision, AI, and sensor networks to enable precision agriculture solutions that reduce labor, optimize inputs, and improve yields. Scientific Awards: 2024 Australian Future Cotton Leader 2021 WatSave Young Professionals Award (International Commission on Irrigation & Drainage) 2018 Cotton Seed Distributors Researcher of the Year Award 2015 Queensland Young Tall Poppy Science Award 2014 Science and Innovation Award for Young People in Agriculture, Fisheries and Forestry 2011 Travel Fellowship (Irrigation Australia Limited) NPSI/IAL Travel Fellowship 2010 Dr. McCarthy actively supervises research students and leads industry-collaborative projects funded by organizations such as Cotton Research and Development Corporation, Grains Research and Development Corporation, and Hort Innovation. She has secured multiple research grants focused on smarter irrigation, nitrogen management, and pest monitoring technologies. Her work bridges academic research and practical on-farm applications, emphasizing technology transfer and industry engagement. Laboratories and Research Teams: She is a key member of the Centre for Agricultural Engineering at USQ, contributing to interdisciplinary teams working on smart irrigation, precision agriculture, and agricultural automation. Her research integrates with projects like 'Smarter Irrigation for Profit' and 'Future Farm', involving collaboration with engineers, agronomists, and industry partners.

• Power Systems
• Renewable Energy
• Estimation Theory
• +۳ مورد دیگر

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.

Nathan Marksمشاهده پروفایل

پژوهشگر ارشد

• Electric Machines and Drives
• Power Electronics
• Renewable Energy Systems
• +۲ مورد دیگر

Dr. Nathan Marks is a Postdoctoral Researcher at the School of Engineering , University of Newcastle, Australia. His career spans academic and defense-related research roles, including a 2016-2020 position as Electrical Research Engineer with Defence Science and Technology Group in Melbourne. Bachelor of Electrical Engineering (Honours 1, University Medal) - University of Newcastle, 2011 Doctor of Philosophy in Electrical Engineering - University of Newcastle, 2016 His research focuses on power electronics and renewable energy systems , particularly electric machines for maritime propulsion , multilevel converters , and real-time simulation . Key contributions include sensorless MPPT algorithms and stability analysis of PHIL systems . Recent publications (2024-2012) demonstrate expertise in electrical machine control , converter topologies , and power hardware-in-the-loop techniques. He teaches Power Electronics and Electric Machines courses while maintaining active IEEE memberships.

• Control Systems
• Nonlinear Control
• Model Predictive Control (MPC)
• +۵ مورد دیگر

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.

• 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.

Clay Guoyu Chuمشاهده پروفایل

مدرس

• High-Speed Electric Machines
• Permanent Magnet Synchronous Motors
• Multiphysics Multi-Objective Design Optimization
• +۵ مورد دیگر

Dr. Clay (Guoyu) Chu is a Lecturer and Senior Research Associate in Energy Systems at the School of Electrical Engineering and Telecommunications, UNSW Sydney. His work focuses on decarbonization through advanced electric drive and energy conversion technologies. Ph.D. (Electrical Engineering, UNSW Sydney, 2021) M.E. (Electrical Engineering, UNSW Sydney, 2016) B.E. (Electrical Engineering and Automation, Shandong University of Science and Technology, 2014) His research spans high-speed electric machines, permanent magnet motors, sensorless control, electromagnetic systems, and grid stability with renewable energy integration. Recent work emphasizes multiphysics design optimization, fault diagnosis, and wide bandgap switches for high-frequency drives. Dr. Chu's publications highlight advancements in interior permanent magnet synchronous machines (IPMSMs), loss minimization control, and zero sequence current analysis. Themes include motor efficiency, mechanical stress reduction, and fault-tolerant design for high-speed and renewable energy applications. Australian Research Council Early Career Industry Fellowship (2023, $447k) Malcolm Chaikin Prize for Research Excellence in Engineering (2023) Dean’s Award for Outstanding PhD Theses (2022) Third Prize Paper Award, IEEE ECCE (2024) He has secured over $1.7 million in grants, including ARC Discovery Projects and UNSW Faculty Infrastructure Funding. Dr. Chu contributes to teaching courses in electric drive systems, power electronics, and electromagnetic engineering.

• Satellite Technology
• Quantum Communication
• Control Systems
• +۳ مورد دیگر

Dr. Xueliang Bai is an academic staff member at the University of Sydney's Department of Physics, Faculty of Science. His research focuses on satellite technology, quantum communication systems, and control systems, with notable contributions to CubeSat mission design and quantum experiments in space. He has been involved in projects like SpooQy-1 and CUAVA-1, demonstrating entangled photon sources and quantum key distribution (QKD) technologies. His work bridges aerospace engineering and quantum optics, advancing miniaturized systems for space applications. Dr. Bai has contributed to grants such as the 2021 'Very Low Earth Orbit (VLEO) Spacecraft Operations' project and has published extensively on model predictive control for fractional satellite systems and space-based photonics. Key affiliations: Department of Physics, University of Sydney Research areas: Quantum communication, CubeSat systems, control systems, and spaceborne photonics His publications span quantum entanglement demonstrations on nano-satellites, 1-bit processing for satellite control, and integration of biomedical optics with guidance systems. Collaborations with institutions like the International Astronautical Federation highlight his international academic engagement. Labs/Teams: Involved in CubeSat mission teams (e.g., SpooQy-1, CUAVA-1) and quantum communication research groups. His work supports space-based quantum technologies and educational initiatives in satellite engineering.

• 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.