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 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 20,077 times, H-Index: 50 (on September 23, 2023).
He has made contributions to advance 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 (2023, 2022), and one of the World’s Top 2% Scientists (2022, 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).
PhD positions are open! I am looking for self-motivated Ph.D students. See more information here.
PhD in Computer Science
University of Technology Sydney
IEEE TPAMI, TNNLS, TKDE, TCYB; ICML, NeurIPS, KDD, WWW, CVPR, WSDM, ICDM, AAAI, IJCAI
Shirui Pan’s research was supported by Australian Research Council (ARC), Defence Science and Technology Group (DSTG), Amazon, Metso Outotec, Shanghai Aircraft Manufacturing Co, Ltd, etc.
[Award]: Fellow of Queensland Academy of Arts and Sciences (QAAS).
[Award]: Amazon Research Awards (APA) Fall 2021 round.
[Award]: AI 2000 AAAI/IJCAI Most Influential Scholars Honorable Mention (2022) (only three recipients in Australia) (25/01/2021).
[Award]: Enabling Automatic Graph Learning Pipelines with Limited Human Knowledge ($800,000 from ARC and $470,000 from Monash University) - 2021-2025
[Award]: 5 Papers are Selected as Most Influential Papers in IJCAI (02/2022).
[Award]: 1 Paper is Selected as Most Influential Paper in KDD (02/2022).
[Award]: 1 Paper is Selected as Most Influential Paper in AAAI (02/2022).
[Award]: 1 Paper is Selected as Most Influential Paper in CIKM (02/2022).
[Award]: 2021 FIT Dean’s Award for Excellence in Research by an Early Career Researcher
[Award]: AI 2000 AAAI/IJCAI Most Influential Scholars Honorable Mention (2021) (only five recipients in Australia) (08/04/2021).
Best Student Paper Award for ICDM-2020 (CORE A* conference)
The Vannevar Bush Best Paper Honorable Mention for JCDL-2020 (CORE-2018 A* conference)
Anomaly Detection in Social Networks ($11,000) - 2019-2020
Cyberbullying Detection on Social Networks ($20,000) - 2016-2017
A list of open source code is maintained on Github. Other source code will be released as it is ready for publishing.