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Professor Xiaohui Tao

Professor Xiaohui Tao
Name Xiaohui Tao
Position Professor (Computing)
Section School of Mathematics, Physics and Computing
Office D102
Location Springfield Campus
Phone +61 7 3470 4357
Extension 4357
Email
Qualifications PhD QUT
Homepage https://tao-xiaohui.info
The views expressed on staff homepages may not reflect the views of the University.

Biography

Dr. Xiaohui Tao is Senior Member of IEEE and ACM, an active researcher in AI, and Full Professor (Computing) in School of Mathematics, Physics and Computing (SoMPC), University of Southern Queensland (UniSQ), Australia. His research interests include data analytics, machine learning, knowledge engineering, information retrieval, and health informatics. During his research career, Tao gained a wealth of knowledge and experience in dealing with massive data sets and delivering solutions to complex research problems. He developed many innovative models, methods and systems, such as a multi-disease recommender system, a clinic decision support system for personalised and evidence-based medicine, a heterogeneous information graph model for health risk prediction, an algorithm to detect potential mental issues using sentiment analysis and natural language processing techniques, and an ontology learning and mining model for personalised information gathering, and made contributions to the areas such as Knowledge Engineering, Text Mining and Information Retrieval and Health informatics. The research outcomes have been published on many top-tier journals (e.g., TKDE, INFFUS, IP&M, KBS, ESWA, and PRL) and conferences (e.g., AAAI, IJCAI, ICDE, CIKM, PAKDD and WISE). Prof. Tao received ARC DP grant (Ref. DP220101360) in 2022-24, Australian Endeavour Research Fellow in 2015-16, and was awarded with "Research Performance Award" and "Discipline Research Performance Improvement Award" by SoMPC, UniSQ in 2021, "Research Award" by Department of Mathematics and Computing, UniSQ in 2012 and "Dean's Award for Academic Excellence" by Faculty of Science and Technology at QUT in 2009.

Prof. Tao has been active in professional services. He has served PC Chair in WI'17, '18, WI-IAT'21, BESC'18 and '21, and CBD'22. He has been an editor or guest editor in many journals including INFFUS and WWWJ, and also been a regular reviewer in many top-ranking journals such as TKDE, TPDS, and KBS. Tao has also been actively participating in tertiary education ever since 2005 and taught a variety of IT/IS subjects. Currently, he is the lead of a research group in SoMPC, UniSQ and is the Principal Supervisor of a number of PhD and Research Master students.

Research Career


  • Expert Systems ( 080105 )
  • Pattern Recognition and Data Mining ( 080109 )
  • Natural Language Processing ( 080107 )
  • Natural Language Processing ( 460208 )
  • Artificial Intelligence ( 460200 )
  • Data Mining And Knowledge Discovery ( 460502 )
  • Data Management And Data Science ( 460500 )
  • Recommender Systems ( 460510 )
  • Information Retrieval And Web Search ( 460508 )
  • Semi- And Unsupervised Learning ( 461106 )
  • Knowledge Representation And Reasoning ( 460206 )
  • Deep Learning ( 461103 )
  • Context Learning ( 461102 )
  • Machine Learning ( 461100 )
  • Reinforcement Learning ( 461105 )
  • Neural Networks ( 461104 )

Natural Language Processing, Knowledge engineering, knowledge management, Data mining, Data Analytics, Information retrieval, Health Informatics


Senior member, Association for Computing Machinery (ACM)
Senior member, Institute of Electrical and Electronics Engineers (IEEE)
IEEE Computer Society
IEEE Technical Committee on Intelligent Informatics
Web Intelligence Consortium (WIC)


Editor-in-Chief, Natural Language Processing Journal, Elsevier
Editor-in-Chief, IEEE Intelligent Informatics Bulletin
Managing Editor, Web Intelligence Journal
Executive Secretary, Web Intelligence Consortium
Editorial Board member, Scalable Information Systems
Editorial Board member, Computers and Education: Artificial Intelligence, Elsevier

Teaching


MSC8001 Research Project I (2017 - present)
MSC8002 Research Project II (2017 - present)
MSC8003 Industry Based Research Practice I (2016 - present)
MSC8004 Industry Based Research Practice II (2016 - present)
CSC8600 Advanced ICT Professional Project (2017 – present)
CSC3600 ICT Professional Project (2013 – present)
CSC1401 Foundation Programming (2011-2017)
CSC1402 Foundation Computing (2011 – 2016)


18 Years


Discipline Team Leader (Computing), 2021-present
Chair of ICT Programs Governance and Leadership Committee, 2022-present
Program Director, Master of Data Science (2020-2021)
Program Director, Postgraduate Programs (Master of Science, Master of Computing, Master of Computing Technology), School of Sciences (2016-2019)

Supervision


  • Expert Systems ( 080105 )
  • Pattern Recognition and Data Mining ( 080109 )
  • Natural Language Processing ( 080107 )
  • Natural Language Processing ( 460208 )
  • Artificial Intelligence ( 460200 )
  • Data Mining And Knowledge Discovery ( 460502 )
  • Data Management And Data Science ( 460500 )
  • Recommender Systems ( 460510 )
  • Information Retrieval And Web Search ( 460508 )
  • Semi- And Unsupervised Learning ( 461106 )
  • Knowledge Representation And Reasoning ( 460206 )
  • Deep Learning ( 461103 )
  • Context Learning ( 461102 )
  • Machine Learning ( 461100 )
  • Reinforcement Learning ( 461105 )
  • Neural Networks ( 461104 )