DR. MEOR MOHD FAISAL BIN MEOR ZULKIFLI
Department of Mechanical Engineering
Faculty of Engineering
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Biography | |
Meor Faisal Zulkifli received his Bachelor’s degree in Mechanical Engineering from the University of Surrey, UK, and his Ph.D. in Engineering from Imperial College London. He is currently a Senior Lecturer at Universiti Malaya, Kuala Lumpur, specializing in power generation and machine learning applications. Meor Faisal Zulkifli has significant industry experience, having served as Project Leader and Principal Researcher at TNB Research, where he led multiple projects focused on improving the efficiency of gas turbine and coal-fired power plants using advanced technologies, including AI and machine learning. During his tenure at TNB Research, he successfully led 5 major projects that collectively amounted to more than RM 10 million. His expertise lies in fuels and combustion, clean energy, power plant operations, and AI integration. Meor Faisal Zulkifli is currently working on projects related to hydrogen/ammonia combustion for industrial gas turbines, coal combustion enhancement using chemical additives, and developing intelligent systems for optimizing power plant operations. |
Publication
Finance
Project Title | Progress | Status |
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Comprehensive Investigation Of Ternary Fuel Blending: Characterizing Hydrogen-ammonia-methane Combustion At Elevated Pressures Through Experimental And Numerical Approaches |
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Application of 2D temperature measurement to a coal-fired furnace using CT-TDLAS
CFD Analysis on the Effects of Different Coal on Combustion Characteristics in Coal-fired Boiler
Electrically conductive fabric coated with polyaniline: physicochemical characterisation and antibacterial assessment
Hexanediamine Monolayer Electrografted at Glassy Carbon Electrodes Enhances Oxygen Reduction Reaction in Aqueous Neutral Media
Numerical and experimental analysis of laminar and turbulent oxy-fuel jet flames using a direct comparison of the Rayleigh signal.
Validation of a numerical model of oxy-fuel combustion in laminar and turbulent jet flames by direct prediction of experimental quantities