Rate My Professor Lam Ghai
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Creates dynamic and thought-provoking lessons.
Always supportive and inspiring to all.
Inspires curiosity and a thirst for knowledge.
Always patient, kind, and understanding.
Always positive and motivating in class.
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About Lam
Dr. Lim Lam Ghai is a lecturer in the Robotics and Mechatronics Engineering Discipline within the School of Engineering at Monash University Malaysia. He obtained his Bachelor of Engineering in 2014, Master of Science in 2017, and Doctor of Philosophy in 2022, all in Electrical and Electronic Engineering from Universiti Teknologi PETRONAS, Malaysia. During his master's research, he developed a capacitive sensor for measuring liquid holdup in two-phase flow relevant to the energy sector. His doctoral work expanded into biomedical engineering, focusing on brain signal processing to improve mental states, including brain training sessions for dementia patients at a day-care centre. He established an international collaboration with the Research and Development Group of Hitachi Ltd., Japan, for brain-computer interface applications. Currently, as Ir. Dr. Lim Lam Ghai, he also serves as the Outcome Based Education Coordinator for the Robotics and Mechatronics Engineering discipline.
Dr. Lim Lam Ghai's research interests encompass non-invasive neuroimaging with functional near-infrared spectroscopy (fNIRS), neural signal processing, brain-computer interfaces, artificial intelligence applications in health analytics and precision agriculture, and machine learning. His contributions include methods for mental workload estimation using vector phase analysis and automated thresholding for functional connectivity in Alzheimer's disease. Notable publications are 'Review of adsorption studies for contaminant removal from wastewater using molecular simulation' (Sustainability, 2023), 'A review on recent advances of cellulose acetate membranes for gas separation' (RSC Advances, 2024), 'Altered functional connectivity subserving expressed emotion environments in schizophrenia: An fNIRS study' (Schizophrenia Research, 2024), 'A unified analytical framework with multiple fNIRS features for mental workload assessment in the prefrontal cortex' (IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020), and 'Oil palm tree detection in UAV imagery using an enhanced RetinaNet' (Computers and Electronics in Agriculture, 2024). He has earned awards including the IEEE SPS Malaysia Research Excellence Award for Best PhD Thesis (2022), IChemE Training & Development Award (2022), Anugerah PERSAMA (2022), 1st International Innovation Competition in Social Sciences Education (2025), Young Researcher Award Finalist IChemE Malaysia (2021), and several silver medals in international innovation competitions. Dr. Lim has engaged in public lectures, seminars, and editorial responsibilities.
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