Shirui Pan is currently a Lecturer with the Faculty of Information Technology, Monash University, Australia. Prior to that, he was a Lecturer at the University of Technology Sydney (UTS).  Dr Pan received the Ph.D degree in data science from UTS, NSW, Australia. After that, he worked as a Research Fellow (from Aug 2015 to June 2018) at the Centre for Artificial Intelligence (CAI), School of Software, UTS. 

Dr Pan's research interests include

• data mining
• machine learning
• deep learning
• graph and network analytics
• NLP

To date, Dr Pan has published over 80 research papers in top-tier journals and conferences, including the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Cybernetics (TCYB), NeurIPS, KDD, WWW, CVPR, ICDE, AAAI, IJCAI, ICDM, SDM, PAKDD.

More information about his research can be found at https://shiruipan.github.io/.

Dr Pan teaches the following unit(s) at Monash University

• FIT5196 Data Wrangling
• FIT5212 Data Analysis for Semi-structured Data

The FIT5212 Data Analysis for Semi-structured Data unit is supported by DataCamp, the most intuitive learning platform for data science. Learn R, Python and SQL the way you learn best through a combination of short expert videos and hands-on-the-keyboard exercises. Take over 100+ courses by expert instructors on topics such as importing data, data visualization or machine learning and learn faster through immediate and personalised feedback on every exercise.

Dr Pan regularly serves as an Associate Editor, Session Chair, Invited Reviewer, Program Committee Member for a number of journals and conferences. His professional services include:

Editorship

• Associate Editor: IEEE Access 
• Guest Editor: IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
• Guest Editor: Future Generation Computing Systems
• Guest Editor: Complexity 
• Guest Editor: Neurocomputing

Conference Organisation

• 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)

Journal Reviewer

• IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (CORE A*)
• IEEE Transactions on Neural Networks and Learning Systems (TNNLS) (CORE A*)
• IEEE Transactions on Knowledge and Data Engineering (TKDE)((CORE A)
• IEEE Transactions on Cybernetics (TCYB) (CORE A)
• IEEE Transactions on Systems, Man and Cybernetics: Systems (SMCA) (CORE B)
• Pattern Recognition (PR) (CORE A*)
• Information Sciences (CORE A)
• IEEE Signal Processing Letters
• ACM Transactions on Intelligent Systems and Technology (TIST)
• World Wide Web (WWW) (CORE A)
• Social Network Analysis and Mining
• Neural Computing and Applications
• Neurocomputing

Program Committee

• Annual Conference on Neural Information Processing Systems (NeurIPS 20,19)(CORE A*)
• SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-20,19)(CORE A*)
• The Web Conference (WWW-20,19)(CORE A*)
• AAAI Conference on Artificial Intelligence (AAAI-20,19,18,17) (CORE A*)
• International Joint Conference on Artificial Intelligence (IJCAI-20, 19, 18,17) (CORE A*)
• SIAM International Conference on Data Mining (SDM-19) (CORE A)
• Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-19,18,17,16)((CORE A)
• IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2014-15)
• International Conference on Advanced Data Mining and Applications (ADMA 2014, 2016)
• The international conference on Advances in Social Network Analysis and Mining (ASONAM 2017)
• The China Computer Federation (CCF) Conference on Big Data (CCF Big Data 2017)