Research Area
Expert In The Spotlight
DR. SAW SHIER NEE
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 S...
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DR. SAEEDA KHAN
I am a gender and development researcher with experience in qualitative research, policy analysis, and program evaluation across various academic and development contexts. My work centers on issues of gender-based violence, women’s empowerment, social inclusion, and intersectionality in South Asia, particularly among marginalized and vulnerable communities. My research focuses on a range of themes, including women’s agency and leadership, masculinity and patriarchy, post-conflict education, and ...
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DR. WONG WAI WAI
Wai Wai Wong is a legal academic specialising in trust law, corporate governance, and law and technology, with expertise in blockchain, cryptocurrency, and smart contracts. Her research explores the interaction between traditional legal doctrines and emerging digital technologies, focusing on how legal frameworks adapt to decentralised systems and digital governance. She is the author of The Law of Smart Contracts (2022) and Trust and Corporate Governance in Digitalization (2026). She has author...
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TOP RESEARCHER BY WoS (WEB OF SCIENCE) PUBLICATION
This list ranks active academic staff by their total number of distinct Web of Science (WoS/ISI) publications. Only publications where the author is affiliated with Universiti Malaya are included. Publications with ownership disputes or those marked as ineligible under university criteria are excluded. Counts include all eligible WoS publications on record, not limited to a specific year. Rankings are generated automatically from UMEXPERT records.