IR. DR. WONG JEE KEEN RAYMOND
Department of Electrical Engineering
Faculty of Engineering
wjkraymondum.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, Member of IET, Member of IEM, and Professional Technologist of MBOT. 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. To date, he has secured over RM 494,000 in grant funding as the Principal Investigator. |
Publication
Finance
Project Title | Progress | Status |
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Non-conventional Insulation Fault Localization Using Deep Learning Approach For Improved Accuracy And Noise Resilience |
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on going |
Test Plan Optimization |
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on going |
This information is generated from Research Grant Management System |
Electromagnetic Characteristics Interpretation of Partial Discharge Phenomena at Variable Distance in High-Voltage Systems
Unknown PD distinction in HVAC/HVDC by antenna-sensor with pulse sequence analysis
Unsupervised Feature-Preserving CycleGAN for Fault Diagnosis of Rolling Bearings Using Unbalanced Infrared Thermal Imaging Sample
Electromagnetic Characteristics Interpretation of Partial Discharge Phenomena at Variable Distance in High-Voltage Systems
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
Sectionalization of Degraded Polymeric Cable with Multiple Joints using TDR Technique