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Longbing Cao
AI and data science researcher From Wikipedia, the free encyclopedia
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Longbing Cao (Chinese: 操龙兵; born in 1969[citation needed]) is an AI and data science researcher at the University of Technology Sydney, Australia. His broad research interest involves artificial intelligence,[1] data science,[2] behavior informatics,[3] and their enterprise applications.[4]
 | This article may rely excessively on sources too closely associated with the subject, potentially preventing the article from being verifiable and neutral. (April 2016) |
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Cao received one PhD in Pattern Recognition and Intelligent Systems from Chinese Academy of Science and another PhD in Computing Science at the University of Technology Sydney (UTS).[5][6] He had a bachelor’s degree in electrical automation, and a master's degree in data communication. Cao took a chief technology officer role managing business intelligence system design and implementation in China before he started his academic life in Australia in 2005.[6]
He established and directed the first Australian research centre dedicated to big data analytics: Advanced Analytics Institute at UTS in 2011, where he built the analytics degrees: Master of Analytics[7] and PhD Thesis: Analytics[8] in 2011 at UTS.
He is the inaugural Editor-in-Chief of International Journal of Data Science and Analytics (JDSA), publishing since 2016, and the Editor-in-Chief of IEEE Intelligent Systems, the oldest AI publication in IEEE. He founded the IEEE International Conference on Data Science and Advanced Analytics (DSAA) and established and chairs:
- IEEE Task Force on Data Science and Advanced Analytics
- IEEE Task Force on Behavioral, Economic and Socio-cultural Computing
- ACM SIGKDD Australian and New Zealand Chapter (ANZKDD)
Cao published several books and over 300 papers since 2005.[9][10][11][12] Cao's research focuses include data science[1][2][3][4](data analytics, data mining, machine learning, information system), artificial intelligence and intelligent systems.[13] His specialized areas include behavior informatics and behavior computing,[14][15][16][17] domain-driven data mining and actionable knowledge discovery,[18][19][20] agent mining,[21][22][23] non-IID learning,[24][25][26][27] and AI in finance and FinTech.[28] He led a series of enterprise analytics/data science projects for major government and business in domains including social security, taxation, immigration, capital markets, insurance, banking, telecommunication, health, transport, services, and education.[1][29]
Cao won the Eureka Prize for Excellence in Data Science in 2019 awarded by the Australian Museum.[30]
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