Biography
Shirui Pan is a Professor and an ARC Future Fellow with the School of Information and Communication Technology, Griffith University, Australia. He is a Co-Director of TrustAGI Lab. Before joining Griffith in 2022, he was Senior Lecturer (Associate Professor) with the Faculty of Information Technology, Monash University. He received his Ph.D degree in computer science from University of Technology Sydney (UTS), Australia. He is a Senior Member of IEEE and ACM, and a Fellow of Queensland Academy of Arts and Sciences (FQA).
His research focuses on artificial intelligence and machine learning. His research was cited 38,212 times, H-Index: 75 (on February 21, 2025).
He has made contributions to advance graph machine learning methods for solving hard AI problems for real-life applications, including anomaly detection, graph analytics, and time series forecasting. He is recognized as one of the 2024 AI’s 10 to Watch and the recipient of the 2024 IEEE ICDM Tao Li Award. He has also been named among the AI 2000 AAAI/IJCAI Most Influential Scholars in Australia (2023, 2022), and one of the World’s Top 2% Scientists (2022, 2021). His research received the 2020 IEEE ICDM Best Student Paper Award (2020), and the 2024 IEEE CIS TNNLS Outstanding Paper Award. 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).
PhD positions are open! I am looking for self-motivated Ph.D students. See more information here.
- Artificial Intelligence
- Data Mining
- Machine Learning
- Deep Learning
- NLP
- Graph Neural Networks
- Trustworthy AI
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PhD in Computer Science
University of Technology Sydney
Awards and Grants
- 2024 AI'10 to Watch
- 2024 IEEE ICDM Tao Li Award
- 2021 ARC Future Fellow (Awarded to researchers within 5-15 years of the award of their PhD)
- 2023 Fellow of Queensland Academy of Arts and Sciences (QAAS)
- 2023 World’s Top 2% Scientists by Stanford University (both Career-Long Impact List and Single-Year Impact List)
- 2022 Amazon Research Award
- 2020 IEEE ICDM Best Student Paper Award
- 2024 IEEE CIS TNNLS Outstanding Paper Award
- Ranked Top 10 Globally in AI 2000 Most Influential Scholars by AMiner in Artificial Intelligence (IJCAI) (2023)
- 2021 FIT Dean’s Award for Excellence in Research by an Early Career Researcher
- Eight papers recognised as the Most Influential Papers in KDD (x1), IJCAI (x5), AAAI (x1), and CIKM (x1) (Feb 2022) by PaperDigest.org
- The Vannevar Bush Best Paper Honorable Mention for JCDL-2020
Professional Services
Area Chair/Senior Program Committee
- Area Chair: ICLR (2025), NeruIPS Benchmark (2024), KDD (2025), WWW (2025), ICDM (2024,2023,2022), IJCAI (2025,2024,2023), AAAI (2025,2024,2023), PAKDD (2025)
Editorship
- Associate Editor: IEEE Transactions on Neural Networks and Learning Systems (TNNLS) (2025-)
- Associate Editor: IEEE Transactions on Cybernetics (TCYB) (2023-)
- Associate Editor: IEEE Transactions on Cognitive and Developmental Systems (TCDS) (2023-)
- Associate Editor: Neural Networks (2023-)
- Associate Editor: Knowledge and Information Systems (2022-)
- Guest Editor for Special Issue: Pattern Recognition (2022)
- Guest Editor for Special Issue: IEEE Transactions on Neural Networks and Learning Systems (2021)
- Guest Editor for Special Issue: Future Generation Computer Systems (2020)
- Guest Editor for Special Issue: Neurocomputing (2020)
- Guest Editor for Special Issue: Complexity (2019)
- Associate Editor: IEEE Access (2018-2019)
IEEE Task Force
- Chair: IEEE Task Force on Learning for Graphs, CIS Neural Networks Technical Committee (NNTC), 2023-2024
Conference Organisation
- Program Co-Chair: The 16th IEEE International Conference on Knowledge Graphs (ICKG-2025)
- Publicilty Chair: 2024 IEEE International Conference on Big Data (IEEE BigData-2024)
- Tutorial Chair: 2022 IEEE International Conference on Data Mining(ICDM-2022, ICDM-2023)
- Proceeding Co-chair: 2022 IEEE International Conference on Data Mining(ADMA-2022)
- Program Chair: 2021 International Conference on Data Science and Systems (DSS-2021)
- Workshop Chair: 2021 IEEE International Conference on Big Data (IEEE BigData-2021)
- Tutorial Chair: 2020 Digital Image Computing: Techniques and Applications (DICTA-2020)
- Special Session Chair: Learning from Big Graph Data: Theory and Applications, IJCNN-2018 (CORE A)
- Special Session Chair: Advanced Data Analytics for Large-scale Complex Data Environment, IJCNN- 2017 (CORE A)
- Special Session Chair: Advanced Machine Learning Methods and Applications from Complicated Data Environment, IJCNN-2016 (CORE A)