IR. DR. WONG JEE KEEN RAYMOND
Department of Electrical Engineering
Faculty of Engineering
wjkraymond@um.edu.myView CV | |
Publons | |
Scopus Link | |
Biography | |
Wong Jee Keen Raymond received the Bachelor of Electrical and Electronics Engineering (1st Class Honors) and Master of Electrical Engineering from Universiti Tenaga Nasional in 2010 and 2013 respectively. He obtained his PhD from Universiti Malaya in 2016. He worked as a Product Engineer at Motorola Solutions (2010-2011), Senior Lecturer (2016-2018), and Programme Leader (2019-2021) at Tunku Abdul Rahman University College. Since 2021, he has been working as a Senior Lecturer at Universiti Malaya. He is a Chartered Engineer (CEng UK), Professional Engineer (PEng BEM), Senior Member of IEEE (Institute of Electrical and Electronics Engineers), Member of IET (Institution of Engineering and Technology), Member of IEM (Institution of Engineers Malaysia), and Professional Technologist of MBOT (Malaysia Board of Technologist). He was the Honorary Secretary for IEEE Dielectrics and Electrical Insulation Society (DEIS) Malaysia since 2020. His main research interests include insulation condition monitoring, partial discharge phenomenon, machine learning, and deep learning applications in fault location and classification. |
Publication
Finance
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This information is generated from Research Grant Management System |
Fault Classification and Location in Three-Phase Transmission Lines Using Wavelet-based Machine Learning
Fault Classification and Location in Three-Phase Transmission Lines Using Wavelet-based Machine Learning
Advanced Polymeric Cable Degradation Diagnostics using Time Domain Reflectometry Technique
Economic Dispatch of Micro-grid Considering Electric Vehicles
Fault classification and location in three-phase transmission lines using wavelet-based machine learning
Economic Dispatch of Micro-grid Considering Electric Vehicles
Evaluation of Partial Discharge Denoising using Power Spectral Subtraction
Sectionalization of Degraded Polymeric Cable with Multiple Joints using TDR Technique
Newsletter Article, TNB Labs Webinar Series, MyHVnet Newsletter 2022