ASSOCIATE PROF. IR. DR. HAZLEE AZIL BIN ILLIAS
Department of Electrical Engineering
Faculty of Engineering
h.illias@um.edu.myView CV | |
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Biography | |
Hazlee Azil Illias was born in Kuala Lumpur, Malaysia. He received Bachelor's Degree in Electrical Engineering from the Universiti Malaya, Malaysia in 2006. He immediately joined Freescale Semiconductors (M) Sdn. Bhd. as a product engineer before pursuing his PhD studies in 2008. He obtained PhD Degree in Electrical Engineering from the University of Southampton, United Kingdom in 2011. He was a Senior Lecturer at the Department of Electrical Engineering, Universiti Malaya from 2011 to 2016. Since 2016, he has been an Associate Professor at the Department of Electrical Engineering, Universiti Malaya. He was the Head of Department of Electrical Engineering from September 2013 to July 2014. Since joining the Universiti Malaya, he has received funding and grants of nearly RM 3 Million (~USD 0.7 Million), published more than 70 journal papers in ISI-indexed publications and 70 refereed conference papers and successfully supervised to completion of 11 PhD, 5 Master's Degree by research and 27 Master's Degree project (by coursework) candidates. He is an active reviewer for numerous high quality journals, which include publishers from IEEE, IET, Elsevier and IOP. He is currently an Associate Editor of IET Science Measurement and Technology. Since 2011, he has been the Head of Universiti Malaya High Voltage Laboratory and Research Group. He was the Secretary of IEEE Dielectrics and Electrical Insulation Society (DEIS) Malaysia Chapter from 2015 to 2019. Since 2018, he has been the Counselor of IEEE Universiti Malaya Student Branch. He is currently a Senior Member of IEEE (Institute of Electrical and Electronics Engineers), Fellow of IET (Institution of Engineering and Technology), Corporate Member of IEM (Institution of Engineers Malaysia), a registered Chartered Engineer (C.Eng UK) and a Professional Engineer (P.Eng Mal). His main research interests include modelling and measurement of partial discharge phenomena in solid dielectric insulation, condition monitoring, insulation system diagnosis, lightning overvoltage, transmission line modelling, optimisation methods and artificial intelligence techniques.
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Project Title | Progress | Status |
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Automated Single And Multi-source Partial Discharge Fault Diagnosis Software For Rotating Machines Based On Deep Neural Network |
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on going |
This information is generated from Research Grant Management System |
Modelling spatiotemporal impact of flash floods on power distribution system and dynamic service restoration with renewable generators considering interdependent critical loads
Ultra-high frequency printable antennas for partial discharge diagnostics in high voltage equipment
Particle-Triggered Corona Discharge Characteristics in Air Insulation Under DC Voltage
New trends and future directions in load frequency control and flexible power system: A comprehensive review
Renewable Energy Harvesting System from Water Flow in University of Malaya
Back Flashover Performance of 500 kV Double Circuit Transmission Lines Struck by Lightning
Estimation and Analysis of Heat Dissipation Capability of Dielectric Liquids Using Induction Time for Oil-Paper Insulation System
Chipless RFID Tag by V-shaped Multi-resonator for Partial Discharge-affected Equipment Identification
Partial Discharge Classification in Insulation Material via Discrete Wavelet Transform Noise Reduction and Artificial Neural Network