YONG-BIN KANG
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Yong-Bin Kang is a senior data science research fellow for the ARC Centre of Excellence for Automated Decision Making and Society.
He is an intellectually curious and analytical researcher with the ability to systematically conceptualise problems and discover hidden insights from real-life problems by using quantitative and qualitative data analysis techniques. His research expertise and interests are mainly in the fields of natural language processing (NLP), machine learning (ML), and data mining (DM).
He has experience in working, managing and delivering large industrial, multi-disciplinary research projects in data science such as patent analytics, clinical data analytics, scientific-article analytics, social-media data analytics, expert finding and matching, and machine learning algorithms and applications.
Yong-Bin Kang has recently developed an NLP based technological trajectory for patent examination process in IP Australia during 2018 – 2020. He is a computer scientist with a PhD (Monash University) and was a core member of Swinburne’s Data Science Research Institute. His research excellence is demonstrated by publications in Information Systems journal, WIREs data mining and knowledge discovery, JMIR public health and surveillance, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Cybernetics. Some representative conference papers A/A* include AAAI, ECAI, ISWC, CIKM, and K-CAP.