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Professor Shirui Pan


  • Bio/Profile
  • Shirui Pan is a Professor and an ARC Future Fellow with the School of Information and Communication Technology, Griffith University, Australia. Before joining Griffith in August 2022, he was with the Faculty of Information Technology, Monash University, between Feb 2019 and July 2022. He received his Ph.D degree in computer science from the University of Technology Sydney (UTS), Australia.

    Pan’s research mainly focuses on artificial intelligence (AI), data mining, and machine learning. He has made contributions to advanced graph machine learning methods for solving hard AI problems for real-life applications, including graph classification, anomaly detection, recommender systems, and multivariate time series forecasting. His research has been published in top conferences and journals, including NeurIPS, ICML, KDD, TPAMI, TNNLS, and TKDE. He is recognised as one of the AI 2000 AAAI/IJCAI Most Influential Scholars in Australia (2021, 2022), and one of the World’s Top 2% Scientists (2021). His research received the IEEE ICDM Best Student Paper Award (2020), and the JCDL Best Paper Honorable Mention Award (2020). He has eight papers recognised as the Most Influential Papers in KDD (x1), IJCAI (x5), AAAI (x1), and CIKM (x1) (Feb 2022). He received a prestigious Future Fellowship (2022-2025), one of the most competitive grants from the Australian Research Council (ARC). Pan’s research was supported by both governments and industry partners. He is a PCI or CI for a number of grants, including

    1.    Temporal Graph Mining for Anomaly Detection ($476,000), Australian Research Council (ARC), Discovery Projects, 2022-2025.
    2.    Enabling Automatic Graph Learning Pipelines with Limited Human Knowledge ($821,000), Australian Research Council (ARC), Future Fellowships, 2022-2025.
    3.     Effective Multi-Task Self-Supervised Learning for Graph Anomaly Detection ($60,000), Amazon, 2022.
    4.    Intelligent process control based on large-scale data mining and deep reinforcement learning ($277,899), Outotec Pty Ltd, 2020-2023.
    5.    Reasoning under Uncertainty with Natural Language ($500,000). The Defence Science and Technology. 2020-2022.