About
Dr. Richardt Wilkinson is a Senior Lecturer in the School of Engineering at RMIT University, Australia. His research focuses on power electronics, modulation theory, renewable energy systems, and the integration of artificial intelligence into energy and biomedical applications. He is actively involved in projects addressing grid stability, energy demand management, and smart grid technologies.
His research interests span electrical engineering, with a particular emphasis on power converter control strategies, renewable energy integration, and the application of machine learning to energy systems. He has contributed to advancements in dual active bridge (DAB) converter design, grid-tied inverter stability analysis, and harmonic disturbance mitigation.
Dr. Wilkinson’s recent work includes investigations into demand management strategies for electric vehicle (EV) impact mitigation, stock market crash forecasting using deep learning, and localized distributed energy resource (DER) solutions. He also explores biomedical engineering applications, such as sleep stage detection using multimodal sensors and neural networks.
He is open to supervising PhD and Master’s students in areas such as modulation techniques for multi-active bridge converters, AI-driven energy optimization, and stability analysis of grid-connected systems. His research aligns with RMIT’s focus on sustainable technologies and interdisciplinary innovation.
