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 from 2020-2023. His main research interests include insulation condition monitoring, partial discharge phenomenon, machine learning, and deep learning applications in fault location and classification. |
Publication
Finance
Grant | Progress | Status |
---|---|---|
FP094-2022 |
|
on going |
PV040-2023 |
|
new |
PV039-2023 |
|
new |
ST029-2022 |
|
on going |
This information is generated from Research Grant Management System |
Novel data augmentation for improved insulation fault diagnosis under nonideal condition
Economic Dispatch of Micro-grid Considering Electric Vehicles
Noise invariant partial discharge classification based on convolutional neural network
Effects of shorter phase-resolved partial discharge duration on PD classification accuracy
Fault classification and location in three-phase transmission lines using wavelet-based machine learning
Economic Dispatch of Micro-grid Considering Electric Vehicles
Fault Classification and Location for Distribution Generation Using Artificial Neural Networks
Pneumonia Diagnosis Using Chest X-ray Images and Machine Learning
Newsletter Article, IEEE Dielectrics and Electrical Insulation Society (DEIS), 2022Q4
Newsletter Article, IEEE Dielectrics and Electrical Insulation Society (DEIS), 2023Q1
Newsletter Article, MyHVnet Newsletter 2023
Newsletter Article, IEEE Dielectrics and Electrical Insulation Society (DEIS), 2021Q4