Longbing Cao: Difference between revisions
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'''Longbing Cao''' (Chinese: 操龙兵; born in 1969{{citation needed|date=April 2022}}) is an AI and data science researcher at the [[University of Technology Sydney]], Australia. His broad research interest involves [[artificial intelligence]],<ref name=":0">{{Cite book|last=Cao|first=Longbing|title=Data Science Thinking: The Next Scientific, Technological and Economic Revolution|publisher=Springer|year=2018| |
'''Longbing Cao''' (Chinese: 操龙兵; born in 1969{{citation needed|date=April 2022}}) is an AI and data science researcher at the [[University of Technology Sydney]], Australia. His broad research interest involves [[artificial intelligence]],<ref name=":0">{{Cite book|last=Cao|first=Longbing|title=Data Science Thinking: The Next Scientific, Technological and Economic Revolution|publisher=Springer|year=2018|url=https://www.springer.com/us/book/9783319950914}}</ref> [[data science]],<ref name=":1">{{Cite journal|last=Cao|first=Longbing|date=2017-06-29|title=Data Science: A Comprehensive Overview|url=https://doi.org/10.1145/3076253|journal=ACM Computing Surveys|volume=50|issue=3|pages=43:1–43:42|doi=10.1145/3076253|issn=0360-0300}}</ref> [[behavior informatics]],<ref name=":2">{{Cite journal|last=Cao|first=Longbing|date=2017-07-24|title=Data science: challenges and directions|url=https://doi.org/10.1145/3015456|journal=Communications of the ACM|volume=60|issue=8|pages=59–68|doi=10.1145/3015456|issn=0001-0782}}</ref> and their [[Enterprise software|enterprise applications]].<ref name=":3">{{Cite journal|last=Cao|first=Longbing|date=September 2016|title=Data Science: Nature and Pitfalls|url=https://ieeexplore.ieee.org/document/7579413|journal=IEEE Intelligent Systems|volume=31|issue=5|pages=66–75|doi=10.1109/MIS.2016.86|issn=1941-1294}}</ref> |
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== Biography == |
== Biography == |
Revision as of 21:33, 3 July 2022
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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]
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.[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. doi:10.1145/3076253. ISSN 0360-0300.
- ^ a b Cao, Longbing (24 July 2017). "Data science: challenges and directions". Communications of the ACM. 60 (8): 59–68. doi:10.1145/3015456. ISSN 0001-0782.
- ^ a b Cao, Longbing (September 2016). "Data Science: Nature and Pitfalls". IEEE Intelligent Systems. 31 (5): 66–75. doi:10.1109/MIS.2016.86. ISSN 1941-1294.
- ^ "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. ISSN 1610-3947.
- ^ 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. doi:10.1016/j.ins.2010.03.025. ISSN 0020-0255.
- ^ Cao, Longbing; Yu, Philip S., eds. (2012). "Behavior Computing". doi:10.1007/978-1-4471-2969-1.
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(help) - ^ 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.
- ^ "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.
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(help) - ^ Cao, Longbing; Zhang, Chengqi (9 April 2006). "Domain-Driven actionable knowledge discovery in the real world". Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining. PAKDD'06. Berlin, Heidelberg: Springer-Verlag: 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". doi:10.1007/978-1-4419-0522-2.
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(help) - ^ 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.
- ^ "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. doi:10.1016/J.ENG.2016.02.013. ISSN 2095-8099.
- ^ Cao, Longbing (1 March 2015). "Coupling learning of complex interactions". Information Processing & Management. 51 (2): 167–186. doi:10.1016/j.ipm.2014.08.007. ISSN 0306-4573.
- ^ "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.
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(help) - ^ "2019 Australian Museum Eureka Prize winners". Australian Museum. Retrieved 29 August 2019.