Dr. Saw is an AI researcher specializing in healthcare applications, with a keen interest in leveraging machine learning and bioinformatics to improve disease detection and management. She earned her Bachelor’s degree from Universiti Malaya in 2013, followed by the President’s Graduate Fellowship from the National University of Singapore (NUS) in 2015, which supported her doctoral research in artificial intelligence-driven healthcare solutions. Following her Ph.D., Dr. Saw worked as a Research Scientist at the Bioinformatics Institute, Agency for Science, Technology and Research (BII, A*STAR), Singapore, under the mentorship of Dr. Hwee Kuan Lee. Her work focused on integrating AI, deep learning, and computational modeling to advance precision medicine and medical diagnostics. Dr. Saw has since returned to Universiti Malaya, where she continues to explore cutting-edge AI methodologies for healthcare applications, particularly in early disease detection, predictive modeling, and clinical decision support systems. Her research aims to bridge the gap between artificial intelligence and real-world medical challenges, developing innovative solutions that enhance patient outcomes and optimize healthcare delivery.
show more »Dr. Kee Boon Pin graduated with Bachelor of Biomedical Science degree in 2007 and Doctorate degree in 2014 from University of Malaya. He is currently serving as a senior lecturer at the department of Biomedical Science, Faculty of Medicine. Dr. Kee’s areas of expertise are molecular genetics, population genetics and mitochondrial DNA. Dr. Kee carries out genetic association study to investigate the relationship between genetic markers and the onset of disease in Crohn’s disease and Systemic Lupus Erythematosus patients. Currently, he also received several funding for genetic study of Cardiomyopathy, in which he employs various molecular approaches to examine and characterize the genetic composition of patients, including next-generation sequencing approaches. Other than that, Dr. Kee also works on the identification and differentiation of microorganisms using various molecular techniques, such as TaqMan chemistry, high resolution melt curve analysis, and Loop-mediated isothermal amplification (LAMP). Dr. Kee is experienced to examine and analyze genomic data generated from markers in different DNA systems, including mitochondrial DNA, autosomal and sex chromosomes, using biostatistical method, phylogenetic analysis, principle component analysis and diversity index analysis.
show more »Dr. Najah Md Alwi is a Senior Lecturer at Universiti Malaya specialising in sustainable architecture, building design urban studies, and environmental-social sustainability in the built environment. With over fifteen years of international experience in New Zealand, Malaysia, and the UK, she focuses on biophilic design, energy-efficient buildings, and inclusive urban spaces. Holding a PhD in Social Science (Architecture & Urban Landscape) and a Master's in Sustainable Design,she actively collaborates with industry and policymakers to advance climate resilience and net-zero buildings. Dr Najah is also Green Building Index (GBI)-accredited professional, a current PAM ESG Committee member, and a Council Member of EUROPH for Human Habitat & Settlement. Dr. Najah is part of the research supervision team at Universiti Malaya. Interchangeably a member of the Green Sustainable Architecture Lab (GSAL) and Urban Community Architecture Lab (UCAL), she contributes to sustainable design innovations and advocates for low-carbon, future, and social well-being. Currently her research centres on circular economy and green infrastructure technologies. She also welcomes PhD and Master’s students interested in exploring innovative approaches to sustainable design and urban planning. Students who wish to explore the intersection of economical, environmental, social, and cultural sustainability in architecture and urban spaces are encouraged to apply.
show more »RECENT PUBLICATION
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Abdullah, Muhammad Fazrin; Jauhari, Iswadi; Sabri, Mohd Faizul Mohd; Ghazali, Nik Nazri Nik (2025). A Novel Vertical Axis Parallel Turbines System for in-pipe Hydropower Generation: Conceptual Design and Preliminary Experiment. Energy Sources Part a-recovery Utilization and Environmental Effects
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Wong, Li Ping; Alias, Haridah; Tan, Sik-Loo; Sia, Thiam Eng; Saw, Aik (2025). An Exploration of Death Anxiety of Family Members of Silent Mentor Body Donation Program. Omega-journal of Death and Dying
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Altarturi, Hamza H. M.; Nor, Adibi Rahiman Md; Jaafar, Noor Ismawati; Anuar, Nor Badrul (2025). A Bibliometric and Content Analysis of Technological Advancement Applications in Agricultural E-commerce. Electronic Commerce Research
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Lin, Ling-Yi; Lin, Chang-Hsin; Chuang, Tsung-Yen; Loh, Sau Cheong; Chu, Shin Ying (2025). Using Home-based Augmented Reality Storybook Training Modules for Facilitating Emotional Functioning and Socialization of Children With Autism Spectrum Disorder. International Journal of Developmental Disabilities
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Asemi, Asefeh; Asemi, Adeleh; Ko, Andrea (2025). Investment Recommender System Model Based On The Potential Investors' Key Decision Factors. Big Data
TOTAL PUBLICATIONS AS OF DATE 802
LATEST AWARDED GRANT
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Designing a Sustainable E-waste Ecosystem At UM: Circular Economy, Recovery Technologies, and Behavioural Change
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Greenculture: Empowering Sustainable Action Through a Digital Campus Initiative
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Evaluating Sustainability Standards: a Comparative Study of Green Retrofit Rating Tools (gbi, Greenre, and Penarafan Hijau Jkr) of Educational Existing Building in Universiti Malaya
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Spatiotemporal Assessment of Outdoor Thermal Comfort and Heat Stress in Universiti Malaya
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Repurposed End-of-life Electric Vehicle Batteries for Demand Side Management System ? An Assessment On The Environmental and Economic Benefits Analysis
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Smart Recycling On Campus: Investigating Rvm Adoption and Behavioural Determinants
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Teaching for a Cooler Future: Empowering Pre-service Science Teachers Through Environmental Stem (e-stem) and Climate Change Pedagogical Content Knowledge (cc-pck) Via Campus-based Action
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Advancing Predictive Modeling and Early Warning System for Microclimate and Air Quality Using An Intelligent Framework in Universiti Malaya