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DR. SAW SHIER NEE

Department of Artificial Intelligence

Faculty of Computer Science & Information Technology

sawsn@um.edu.my
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Biography

Dr. Saw received her B. Eng in Biomedical Engineering (University of Malaya, UM) in 2013. In 2015, Dr. Saw received the President Graduate Fellowship, from National University of Singapore (NUS) to pursue her doctorate degree. Her doctoral thesis, which uses biomechanics to understand pregnancy disease which can help to improve diagnosis and disease management, was supervised by Dr. Choon Hwai Yap.

Following this, Dr. Saw completed two years of postdoctoral training in Bioinformatics Institute, Agency of Science Technology and Research (BII, A*STAR) with Dr. Hwee Kuan Lee. Researching the cutting edge of technology - Artificial Intelligence on various healthcare problems with an aim to improve disease detection and management.

Dr. Saw has since returned to University of Malaya to continue researching superior ways in improving disease management using machine learning and artificial intelligence.


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Year 2018
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Latest Publication
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2021

Machine learning improves early prediction of small-for-gestational-age births and reveals nuchal fold thickness as unexpected predictor

2021

Model Learning Analysis of 3D Optoacoustic Mesoscopic Images for the Classification of Atopic Dermatitis

2021

Machine learning improves early prediction of small-for-gestational-age births and reveals nuchal fold thickness as unexpected predictor.

2021

Model learning analysis of 3D optoacoustic mesoscopy images for the classification of atopic dermatitis