Professor  Ji Zhang

Based in Brisbane, Australia
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Ji Zhang

Bio:

Prof. Ji Zhang is a Full Professor of Computer Science at the University of Southern Queensland (UniSQ), Australia. He is an Academician of the International Academy of Advanced Technology and Engineering, a Life Fellow of the Royal Society of Arts (RSA), a Fellow of the British Computer Society (BCS), a Fellow of the Institution of Engineering and Technology (IET), a Fellow of the International Association of Applied Science and Technology (IAAST), an IEEE Senior Member, and a Member of ACM. He is also an Australian Endeavour Fellow, a Queensland International Fellow, and an Izaak Walton Killam Scholar.

Prof. Zhang received his Ph.D. from Dalhousie University, Canada, his M.Sc. from the National University of Singapore, and his B.E. from Southeast University, China. His research interests include artificial intelligence, data science, machine learning, and intelligent computing. Over the past two decades, he has gained extensive professional experience across Australia, Singapore, Canada, the USA, and China.

Prof. Zhang has published over 400 papers in leading international journals and conferences. His journal publications include those in ACM Transactions on Knowledge Discovery from Data (TKDD), ACM Transactions on Intelligent Systems and Technology (TIST), ACM Transactions on Management Information Systems (TMIS), and ACM Transactions on Spatial Algorithms and Systems (TSAS), among other top-tier venues such as IEEE TPAMI, IEEE TKDE, IEEE TNNLS, and IEEE Transactions on Cybernetics.

Prof. Zhang has maintained a long-standing and active involvement with ACM across multiple dimensions. As a member of ACM, he has contributed to the ACM research community through publications, conference service, and peer review. He has published papers in premier ACM conferences, including ACM SIGKDD, ACM CIKM, and the ACM Web Conference (WWW). He received a best paper award at the 2nd ACM SIGKDD International Workshop on Multimedia Data Mining (MDM/KDD 2001). He has served as a program committee member for ACM SIGKDD (KDD 2026) and ACM SIGIR (SIGIR 2026), and has contributed as a reviewer for ACM Transactions on Knowledge Discovery from Data (TKDD). He was also a member of the Dal-ACM Data Security Research Group (Dal-BIO) at Dalhousie University from 2006 onward. His conference presentations at ACM venues include papers delivered at ACM CIKM 2013 and ACM-BCB 2013, among others.

Prof. Zhang has secured over 60 competitive external research grants from organizations such as the Australian Government, the Australian Academy of Science, the European Union, Queensland Government and the US Air Force Research Laboratory. He has served as editor for five international journals and held chair positions at major international conferences, including ICDM, PAKDD, ADMA, ICTAI, TrustCom, and ADC. He has also served as a reviewer and program committee member for over 160 international journals and conferences.

Available Lectures

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  • Large Language Models in Action
    Large language models (LLMs) have emerged as transformative innovations in artificial intelligence, offering unprecedented capabilities in natural language understanding and generation....
  • Navigating the Convergence of IoT and Big Data Analytics
    The Internet of Things (IoT), much like Big Data, has evolved from a conceptual buzzword into a transformative technology that profoundly reshapes modern life. Today, billions of...

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