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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|location=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>
'''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>


== Biography ==
== Biography ==

Revision as of 21:33, 3 July 2022

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

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

  1. ^ a b c Cao, Longbing (2018). Data Science Thinking: The Next Scientific, Technological and Economic Revolution. Springer.
  2. ^ 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.
  3. ^ 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.
  4. ^ 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.
  5. ^ "Longbing Cao's homepage".
  6. ^ a b "Cao UTS staff profile".
  7. ^ "Master of Analytics at UTS".
  8. ^ "PhD Thesis: Analytics at UTS".
  9. ^ "Longbing Cao's ACM profile".
  10. ^ "Longbing Cao's IEEE profile".
  11. ^ "Longbing Cao's ORCID".
  12. ^ "Longbing Cao's DBLP".
  13. ^ 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.
  14. ^ 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.
  15. ^ Cao, Longbing; Yu, Philip S., eds. (2012). "Behavior Computing". doi:10.1007/978-1-4471-2969-1. {{cite journal}}: Cite journal requires |journal= (help)
  16. ^ 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.
  17. ^ "The Behavior Informatics website".
  18. ^ Cao, Longbing; Yu, Philip S.; Zhang, Chengqi; Zhao, Yanchang (2010). "Domain Driven Data Mining". doi:10.1007/978-1-4419-5737-5. {{cite journal}}: Cite journal requires |journal= (help)
  19. ^ 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.
  20. ^ "The AKD/DDDM website".
  21. ^ Cao, Longbing, ed. (2009). "Data Mining and Multi-agent Integration". doi:10.1007/978-1-4419-0522-2. {{cite journal}}: Cite journal requires |journal= (help)
  22. ^ 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.
  23. ^ "The Agent Mining website".
  24. ^ 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.
  25. ^ 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.
  26. ^ 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.
  27. ^ "The Non-IID Learning webpage".
  28. ^ "AI in Finance and FinTech".
  29. ^ Cao, Longbing; Yu, Philip S.; Zhang, Chengqi; Zhang, Huaifeng, eds. (2009). "Data Mining for Business Applications". doi:10.1007/978-0-387-79420-4. {{cite journal}}: Cite journal requires |journal= (help)
  30. ^ "2019 Australian Museum Eureka Prize winners". Australian Museum. Retrieved 29 August 2019.