一、基本資料

1.學歷：Ph.D. Computer Science, RMIT University, Melbourne, Australia

2.研究領域 : 資料科學、機器學習、資料連結、網路分析、文字分析和異常檢測

3.電話：(02)2908-9899 分機3155

4.信箱：pauline.lin@mail.mcut.edu.tw

二、經歷 ：

Lecturer, School of Computing and Information systems (CIS), University of Melbourne, 2018–2023

Senior Data Scientist, AUSTRAC, Australian Government, 2017–2018

Manager, Research and Development, AUSTRAC, Australian Government 2010–2016

Senior Analyst, Data Mining and Research, AUSTRAC, Australian Government, 2006–2010

三、榮譽記錄 ：

Honorary Research Fellow, the Institute for Breathing and Sleep (IBAS), Austin Health, 2022–2025.

School of Computing and Information Systems Teaching Award 2021, The University of Melbourne.

Adjunct Principal Research Fellow in the School of Electrical & Computer Engineering, RMIT University 2014–2016.

四、著作 ：

1. Yuan, M., Lin, P., Rashidi, L. & Zobel, J. (2023). Assessment of the Quality of Topic Models for Information Retrieval Applications. Proceedings of the 2023 ACM SIGIR International Conference on the theory of Information Retrieval (ICTIR 2023), TAIWAN, Taipei, pp. 265-274. doi:10.1145/3578337.3605118. (Impact factor: 2.40)
2. Zobel J, Vázquez-Abad FJ, Lin P. (2022). When proxy-driven learning is no better than random: The consequences of representational incompleteness. PLoS ONE 17(7): e0271268, pp. 32-. doi: 10.1371/journal.pone.0271268, PLoS ONE, (Impact factor: 3.753)
3. Yuan, M., Zobel, J. & Lin, P. (2022). Measurement of clustering effectiveness for document collections. Information Retrieval Journal, pp. 30-. doi:10.1007/s10791-021-09401-8. (Impact factor: 2.024)
4. Yuan, M., Lin, P. & Zobel, J. (2021). Document Clustering vs Topic Models: A Case Study. In Proceedings of the 25th Australasian Document Computing Symposium (ADCS '21). Association for Computing Machinery, New York, NY, USA, Article 6, pp. 1–8. https://doi.org/10.1145/3503516.3503527, Core Raking is Australasian.
5. Washburn, Y. Paing, P. Lin, and F. Vázquez-Abad (2021). Simulating Sars-CoV-2 Transmission in the New York Subway. Winter Simulation Conference (WSC), 2021, pp. 1-12, doi: 10.1109/WSC52266.2021.9715384. (Impact score is 0.78.)
6. IJzerman, N., Lin, P., IJzerman, M., Aickelin, U. (2020). Improving Accuracy of Record Linkage using Graph Structures: Relevance for Health Outcomes Research. [Abstract]. Value in Health, 23, ppS323-S323. https://doi.org/10.1016/j.jval.2020.04.1206. (Impact factor of 5.7)
7. Savage, D., Wang, Q., Chou, P., Zhang, X. and Yu, X. Detection of Money Laundering Groups: Supervised Learning on Small Networks. AAAI - AI and OR for Social Good (2017)
8. Savage, D., Zhang X., Yu, X., Chou P., and Wang, Q. Distributed Mining of Contrast Patterns. Transactions on Parallel and Distributed Computing (2017)
9. Savage, D., Zhang X., Yu, X., Chou P., and Wang, Q. Detection of opinion spam based on anomalous rating deviation. Expert Systems with Applications (2015)
10. Savage, D., Zhang X., Yu, X., Chou P., and Wang, Q. Anomaly detection in online social networks. Social Networks (2014)
11. Zhang, X. and Chou, P. L. Multiway pruning for efficient iceberg cube computation. Proceedings of the seventeenth DEXA Int. Conf. on Database and Expert Systems Applications (2006)
12. Zhang, X., Chou, P. L., and Ramamohanarao, K. Computing iceberg quotient cubes with bounding. Proceedings of the eighth DaWaK Int. Conf. on Data Warehousing and Knowledge Discovery (2006)
13. Chou, P. L. and Zhang, X. Multiway iceberg cubing on trees. Proceedings of the sixth WISE Int. Conf. on Web Information Systems Engineering (2005)