معرفی
Steward Qie serves as a Casual Teaching staff member and Doctor of Philosophy student at The University of Western Australia's School of Engineering within the Department of Electrical, Electronic and Computer Engineering, concurrently holding a Multi-Discipline Research Assistant position. His academic appointment as a Tutor places him within the faculty structure on a part-time basis.
His research expertise centers on DC Microgrids, Reinforcement Learning, Control Systems, Power Electronics, Fuel Cells, and Smart Grids, with significant focus on developing adaptive control algorithms for power converters and renewable energy integration. Recent work demonstrates innovative applications of machine learning to enhance stability and efficiency in microgrid operations.
Analysis of his 2025 publications reveals a strong trend toward real-time learning-based control methods for power electronics systems, particularly emphasizing DC microgrid stability, fuel cell optimization, and inverter control under dynamic conditions. These works consistently bridge theoretical control frameworks with practical power system implementation.
