Longbing Cao Explained

Longbing Cao (; 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:

Cao published several books and over 300 papers since 2005.[9] [10] [11] [12] Cao's research focuses include data science[1] (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.[29]

Cao won the Eureka Prize for Excellence in Data Science in 2019 awarded by the Australian Museum.[30]

Notes and References

  1. Book: Cao, Longbing. Data Science Thinking: The Next Scientific, Technological and Economic Revolution. Springer. 2018.
  2. Cao. Longbing. 2017-06-29. Data Science: A Comprehensive Overview. ACM Computing Surveys. 50. 3. 43:1–43:42. 10.1145/3076253. 207595944 . 0360-0300. free. 2007.03606.
  3. Cao. Longbing. 2017-07-24. Data science: challenges and directions. Communications of the ACM. 60. 8. 59–68. 10.1145/3015456. 2006.16966 . 591875 . 0001-0782.
  4. Cao. Longbing. September 2016. Data Science: Nature and Pitfalls. IEEE Intelligent Systems. 31. 5. 66–75. 10.1109/MIS.2016.86. 2006.16964 . 38758949 . 1941-1294.
  5. Web site: Longbing Cao's homepage.
  6. Web site: Cao UTS staff profile.
  7. Web site: Master of Analytics at UTS.
  8. Web site: PhD Thesis: Analytics at UTS.
  9. Web site: Longbing Cao's ACM profile.
  10. Web site: Longbing Cao's IEEE profile.
  11. Web site: Longbing Cao's ORCID.
  12. Web site: Longbing Cao's DBLP.
  13. Book: Cao, Longbing. Metasynthetic Computing and Engineering of Complex Systems . Advanced Information and Knowledge Processing . 2015 . en-gb. 10.1007/978-1-4471-6551-4. 978-1-4471-6550-7 . 9341675 . 1610-3947.
  14. Cao. Longbing. 2010-09-01. In-depth behavior understanding and use: The behavior informatics approach. Information Sciences. Including Special Section on Virtual Agent and Organization Modeling: Theory and Applications. en. 180. 17. 3067–3085. 10.1016/j.ins.2010.03.025. 2007.15516 . 7400761 . 0020-0255.
  15. Book: 2012. Cao. Longbing. Yu. Philip S.. Behavior Computing. en-gb. 10.1007/978-1-4471-2969-1. 978-1-4471-2968-4 . 38353335 .
  16. Longbing Cao. Yu. Philip S.. Kumar. Vipin. 2015-11-01. Nonoccurring Behavior Analytics: A New Area. IEEE Intelligent Systems. 30. 6. 4–11. 10.1109/MIS.2015.105. 552165 . 1541-1672.
  17. Web site: The Behavior Informatics website.
  18. Book: Cao. Longbing. Yu. Philip S.. Zhang. Chengqi. Zhao. Yanchang. 2010. Domain Driven Data Mining. en-gb. 10.1007/978-1-4419-5737-5. 978-1-4419-5736-8 .
  19. Book: Cao. Longbing. Zhang. Chengqi . Advances in Knowledge Discovery and Data Mining . Domain-Driven Actionable Knowledge Discovery in the Real World . Lecture Notes in Computer Science . 2006-04-09. 3918 . Berlin, Heidelberg. Springer-Verlag. 821–830. 10.1007/11731139_96. 978-3-540-33206-0.
  20. Web site: The AKD/DDDM website.
  21. Book: 2009. Cao. Longbing. Data Mining and Multi-agent Integration. en-gb. 10.1007/978-1-4419-0522-2. 2009dmma.book.....C . 978-1-4419-0521-5 .
  22. Cao. Longbing. Weiss. Gerhard. Yu. Philip S.. 2012-11-01. A brief introduction to agent mining. Autonomous Agents and Multi-Agent Systems. en. 25. 3. 419–424. 10.1007/s10458-011-9191-4. 7825848 . 1573-7454.
  23. Web site: The Agent Mining website.
  24. Cao. Longbing. 2014-09-01. Non-IIDness Learning in Behavioral and Social Data. The Computer Journal. 57. 9. 1358–1370. 10.1093/comjnl/bxt084. 0010-4620. subscription.
  25. Cao. Longbing. 2016-06-01. Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting. Engineering. en. 2. 2. 212–224. 10.1016/J.ENG.2016.02.013. 56098214 . 2095-8099. free. 2007.07217.
  26. Cao. Longbing. 2015-03-01. Coupling learning of complex interactions. Information Processing & Management. en. 51. 2. 167–186. 10.1016/j.ipm.2014.08.007. 2007.13534 . 11192392 . 0306-4573.
  27. Web site: The Non-IID Learning webpage.
  28. Web site: AI in Finance and FinTech.
  29. Book: 2009. Cao. Longbing. Yu. Philip S.. Zhang. Chengqi. Zhang. Huaifeng. Data Mining for Business Applications. en-gb. 10.1007/978-0-387-79420-4. 978-0-387-79419-8 . 67777168 .
  30. Web site: 2019 Australian Museum Eureka Prize winners. 2019-08-29. Australian Museum.

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