AI and data science researcher
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]
Biography
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]
References
^ a b c Cao, Longbing (2018). Data Science Thinking: The Next Scientific, Technological and Economic Revolution . Springer.
^ a b Cao, Longbing (29 June 2017). "Data Science: A Comprehensive Overview" . ACM Computing Surveys . 50 (3): 43:1–43:42. arXiv :2007.03606 . doi :10.1145/3076253 . ISSN 0360-0300 . S2CID 207595944 .
^ a b Cao, Longbing (24 July 2017). "Data science: challenges and directions" . Communications of the ACM . 60 (8): 59–68. arXiv :2006.16966 . doi :10.1145/3015456 . ISSN 0001-0782 . S2CID 591875 .
^ a b Cao, Longbing (September 2016). "Data Science: Nature and Pitfalls" . IEEE Intelligent Systems . 31 (5): 66–75. arXiv :2006.16964 . doi :10.1109/MIS.2016.86 . ISSN 1941-1294 . S2CID 38758949 .
^ "Longbing Cao's homepage" .
^ a b "Cao UTS staff profile" .
^ "Master of Analytics at UTS" .
^ "PhD Thesis: Analytics at UTS" .
^ "Longbing Cao's ACM profile" .
^ "Longbing Cao's IEEE profile" .
^ "Longbing Cao's ORCID" .
^ "Longbing Cao's DBLP" .
^ Cao, Longbing (2015). Metasynthetic Computing and Engineering of Complex Systems . Advanced Information and Knowledge Processing. doi :10.1007/978-1-4471-6551-4 . ISBN 978-1-4471-6550-7 . ISSN 1610-3947 . S2CID 9341675 .
^ Cao, Longbing (1 September 2010). "In-depth behavior understanding and use: The behavior informatics approach" . Information Sciences . Including Special Section on Virtual Agent and Organization Modeling: Theory and Applications. 180 (17): 3067–3085. arXiv :2007.15516 . doi :10.1016/j.ins.2010.03.025 . ISSN 0020-0255 . S2CID 7400761 .
^ Cao, Longbing; Yu, Philip S., eds. (2012). Behavior Computing . doi :10.1007/978-1-4471-2969-1 . ISBN 978-1-4471-2968-4 . S2CID 38353335 .
^ Longbing Cao; Yu, Philip S.; Kumar, Vipin (1 November 2015). "Nonoccurring Behavior Analytics: A New Area" . IEEE Intelligent Systems . 30 (6): 4–11. doi :10.1109/MIS.2015.105 . ISSN 1541-1672 . S2CID 552165 .
^ "The Behavior Informatics website" .
^ Cao, Longbing; Yu, Philip S.; Zhang, Chengqi; Zhao, Yanchang (2010). Domain Driven Data Mining . doi :10.1007/978-1-4419-5737-5 . ISBN 978-1-4419-5736-8 .
^ Cao, Longbing; Zhang, Chengqi (9 April 2006). "Domain-Driven Actionable Knowledge Discovery in the Real World". Advances in Knowledge Discovery and Data Mining . Lecture Notes in Computer Science. Vol. 3918. Berlin, Heidelberg: Springer-Verlag. pp. 821–830. doi :10.1007/11731139_96 . ISBN 978-3-540-33206-0 .
^ "The AKD/DDDM website" .
^ Cao, Longbing, ed. (2009). Data Mining and Multi-agent Integration . Bibcode :2009dmma.book.....C . doi :10.1007/978-1-4419-0522-2 . ISBN 978-1-4419-0521-5 .
^ Cao, Longbing; Weiss, Gerhard; Yu, Philip S. (1 November 2012). "A brief introduction to agent mining" . Autonomous Agents and Multi-Agent Systems . 25 (3): 419–424. doi :10.1007/s10458-011-9191-4 . ISSN 1573-7454 . S2CID 7825848 .
^ "The Agent Mining website" .
^ Cao, Longbing (1 September 2014). "Non-IIDness Learning in Behavioral and Social Data" . The Computer Journal . 57 (9): 1358–1370. doi :10.1093/comjnl/bxt084 . ISSN 0010-4620 .
^ Cao, Longbing (1 June 2016). "Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting" . Engineering . 2 (2): 212–224. arXiv :2007.07217 . doi :10.1016/J.ENG.2016.02.013 . ISSN 2095-8099 . S2CID 56098214 .
^ Cao, Longbing (1 March 2015). "Coupling learning of complex interactions" . Information Processing & Management . 51 (2): 167–186. arXiv :2007.13534 . doi :10.1016/j.ipm.2014.08.007 . ISSN 0306-4573 . S2CID 11192392 .
^ "The Non-IID Learning webpage" .
^ "AI in Finance and FinTech" .
^ Cao, Longbing; Yu, Philip S.; Zhang, Chengqi; Zhang, Huaifeng, eds. (2009). Data Mining for Business Applications . doi :10.1007/978-0-387-79420-4 . ISBN 978-0-387-79419-8 . S2CID 67777168 .
^ "2019 Australian Museum Eureka Prize winners" . Australian Museum . Retrieved 29 August 2019 .
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