Scholar
Wei Emma Zhang
Google Scholar ID: NFzUTiEAAAAJ
The University of Adelaide | AIML
Citations & Impact
Citations
3,964
H-index
29
i10-index
59
Publications
20
Co-authors
17
list available
Publications
Resume (English only)
Academic Achievements
- Author of over 140 publications; Her TIST article was selected as one of the top 5 outstanding articles by the Editor-in-Chief in 2022; Among the top 100 authors worldwide, ranked by field-weighted citation impact, in the SciVal topic for Network Security; Currently holds an ARC Early Career Industry Fellowship (IE230100119) and is the lead investigator of an ARC Discovery Project (DP240103070) and Linkage Project (LP230200821); Her works have received academia and industry funding (ARC, Google, DST, etc.) worth > AUD $3M; Recipient of South Australia Young Tall Poppy Award (2024), Women of Colour in STEM Award (2025, Data Science/AI Pioneer category), and finalist of Women in AI Asia-Pacific Award (2024, AI in Agribusiness and Rural Development category).
Research Experience
- Has six years of industry working experience in multiple roles and has strong industry engagements. She holds several leadership positions at the University of Adelaide, such as Associate Head of People & Culture, Program Coordinator, Course Coordinator, and outreach contact at the school.
Education
- PhD in Computer Science from the University of Adelaide.
Background
- Research Interests: Text mining, natural language processing, information retrieval, and AIoT applications. Current research focuses on multimodal generation and evaluation, federated learning in NLP, and artificial intelligence of things. Bio: She is a Senior Lecturer and Associate Head of People and Culture at the School of Computer and Mathematical Sciences, and a researcher at the Australian Institute for Machine Learning (AIML), The University of Adelaide. She is also an Honorary Lecturer at the School of Computing, Macquarie University.
Miscellany
- Actively engaged in professional services by serving as conference organizers, conference PC members, and reviewer of journals such as ACM/IEEE Trans., IJCAI, ACL, WWW, and KDD, and assessors of ARC funding applications.
