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Chengqi Zhang

Professor
Centre for Artificial Intelligence
University of Technology Sydney
Australia

Biography

Chengqi Zhang has been appointed as a Distinguished Professor at the University of Technology Sydney (UTS) from 27 February 2017 to 26 February 2022, an Executive Director UTS Data Science from 3 January 2017 to 2 January 2021, an Honorary Professor at the University of Queensland (UQ) from 1 January 2015 to 31 December 2017, an Adjunct Professor at the University of New South Wales from 20 March 2017 to 20 March 2020, and a Research Professor of Information Technology at UTS from 14 December 2001. In addition, he has been selected as the Chairman of the Australian Computer Society National Committee for Artificial Intelligence since November 2005, and the Chairman of IEEE Computer Society Technical Committee of Intelligent Informatics (TCII) since June 2014.

Research Interest

Chengqi Zhang's key areas of research are Data Mining and its applications. He has achieved outstanding research results and provided excellent leadership during his academic career. He has undertaken very important theoretical research to discover new knowledge, such as co-ordination under uncertainty in Multi-Agent Systems, Negative Association Rule mining, Multi-Database mining, and Domain Driven Data Mining, which are recognised in high quality publications. His research has also been applied in industry, in particular the financial industry and government agency of social security. To date, he has attracted more than $5,000,000 in research grants (mostly awarded by the Australia Research Council – ARC), published nearly 300 refereed papers, edited 16 books, and published seven monographs. Some of his papers have been published in highly prestigious international journals such as Artificial Intelligence, IEEE Transactions, and ACM Transactions. He undertakes individual research, and he also leads his own highly-regarded research group. Currently, He is the Executive Director UTS Data Science, as well as a leader for the Data Mining Program with the Australian Capital Markets Cooperative Research Centre.

Publications

  • Cao L, Yu PS, Zhang C, Zhang H, editors. Data Mining for Business Applications. Springer US; 2009; Available from:

  • Zhang C, Zhang Z. Intelligent Agent. Wiley Encyclopedia of Computer Science and Engineering [Internet]. John Wiley & Sons, Inc.; 2007 Dec 14;

  • Bin Li, Xingquan Zhu, Ruijiang Li, Chengqi Zhang. Rating Knowledge Sharing in Cross-Domain Collaborative Filtering. IEEE Transactions on Cybernetics [Internet]. Institute of Electrical and Electronics Engineers (IEEE); 2015 May;45(5):1068–82

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