Longbing Cao

Longbing Cao (Chinese: 操龙兵; born in 1969) 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
  1. Cao, Longbing (2018). Data Science Thinking: The Next Scientific, Technological and Economic Revolution. Springer.
  2. 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. S2CID 207595944.
  3. 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.
  4. 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.
  5. "Longbing Cao's homepage".
  6. "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. ISBN 978-1-4471-6550-7. ISSN 1610-3947. S2CID 9341675.
  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. arXiv:2007.15516. doi:10.1016/j.ins.2010.03.025. ISSN 0020-0255. S2CID 7400761.
  15. 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.
  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. S2CID 552165.
  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. ISBN 978-1-4419-5736-8.
  19. 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.
  20. "The AKD/DDDM website".
  21. 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.
  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. S2CID 7825848.
  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. S2CID 56098214.
  26. 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.
  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. ISBN 978-0-387-79419-8. S2CID 67777168.
  30. "2019 Australian Museum Eureka Prize winners". Australian Museum. Retrieved 29 August 2019.
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