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See-Kiong's diverse
and cross-disciplinary research interests include Bioinformatics, Text Mining, Social Network Mining, and Privacy-Preserving Data Mining. His primary resesearch objective is to unravel
the underlying functional mechanisms of protein interaction networks as
well as other real-world networks in order to understand the "biology" of complex systems through computational technologies and data-driven approaches. In fact, See-Kiong has recently expanded his scientific work from understanding the biology of the human body to understanding the biology of the human cities. He is now focusing on addressing the new challenges of the rapidly urbanising world through developing technologies and innovations in information and communications for big data, complexity, and intelligence to connect people, policy, and environment in future smart cities. |
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Disclaimer: I am personally responsible for any content and opinion posted on this homepage. The Institute for Infocomm Research is not responsible for any contents found on this homepage or any opinion expressed herein. |