Monica Bian
School of Computer Science
Faculty of Engineering, Computer and Mathematical Sciences
My PhD focused on heterogeneous network mining and analysis, where novel algorithms for community discovery, ranking, dynamic embedding and change modeling in different heterogeneous networks were developed. The key areas of my current research interests include: network embedding for dynamic heterogeneous networks, social network analysis, applying network analysis techniques in different cybersecurity domains.
-
Appointments
Date Position Institution name 2021 - ongoing Postdoctoral Researcher University of Adelaide 2011 - 2013 Software Developer Meridian Energy -
Language Competencies
Language Competency Chinese (Mandarin) Can read, write, speak, understand spoken and peer review English Can read, write, speak, understand spoken and peer review -
Education
Date Institution name Country Title 2016 - 2020 University of Auckland New Zealand PhD 2014 - 2015 University of Auckland New Zealand Masters -
Research Interests
-
Journals
Year Citation 2019 Bian, R., Koh, Y. S., Dobbie, G., & Divoli, A. (2019). Identifying Top-k Nodes in Social Networks. ACM Computing Surveys, 52(1), 1-33.
Scopus20 -
Conference Papers
Year Citation 2019 Bian, R., Koh, Y. S., Dobbie, G., & Divoli, A. (2019). Network Embedding and Change Modeling in Dynamic Heterogeneous Networks. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1-4). online: ACM.
Scopus172018 Bian, R., Koh, Y. S., Dobbie, G., & Divoli, A. (2018). OHC: Uncovering overlapping heterogeneous communities. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. Lecture Notes in Artificial Intelligence, LNAI (pp. 193-205). Switzerland: Springer International Publishing.
Connect With Me
External Profiles
