Yew Weng Kean

Dr. Yew Weng Kean is an Assistant Professor in the Department of Electrical Engineering at Heriot-Watt University Malaysia, part of the School of Engineering & Physical Sciences. He holds a Ph.D. in Electrical Engineering from Universiti Tenaga Nasional, where his doctoral work focused on "Design of an AC-coupled stand-alone hybrid renewable energy system with an improved control strategy". His research expertise encompasses microgrids, renewable energy systems, smart grids, and AI-driven solutions for energy management. He actively contributes to interdisciplinary projects involving material science, computer vision, and sustainable technologies.

His research interests span microgrid optimization, stand-alone hybrid systems, solar PV integration, energy storage technologies, and artificial intelligence applications in energy sectors. He has authored over 24 peer-reviewed publications, with recent work focusing on defect detection in wind turbine blades, advanced control mechanisms for multi-agent systems, and sustainable bio-hydrogen production.

Dr. Yew’s articles highlight trends in combining AI with renewable energy systems, such as deep learning models for fault diagnosis in photovoltaic arrays and novel approaches to wind turbine blade inspection via aerial imagery. His work also addresses challenges in material science, including heat treatment effects on aluminum alloys and acoustic properties of natural fibers.

He currently supervises research in energy systems, smart grids, and sustainable materials, and collaborates on global energy education initiatives. His affiliations include roles in university-led sustainability projects and contributions to IEEE-related conferences.