Projects per year
Personal profile
Biography
Dr Usman Naseem is currently a lecturer (~Assistant Professor) in the School of Computing at Macquarie University. Previously, he held a lecturer position in the College of CSE at James Cook University and worked as a research fellow at the University of Sydney and the University of South Australia. He earned his PhD from the University of Sydney, Australia. Before transitioning to academia, he worked in the industry for over 10 years in various technical and leadership roles.
Research interests
His research interests includes natural language processing, multimodal analysis and social computing, with a specific focus on language modeling and the design of socially aware innovative methods for various applications such as:
(i) Cyber Informatics
(ii) Online Opinion and Sarcasm mining
(iii) Responsible Code-mixed & Low Resource Language Processing
(iv) Multimodal Content Analysis
(v) Health/Medical Informatics
For more details, please visit: my personal webpage and my Google Scholar profile!
Research engagement
He actively publishes and contributes to the academic community by serving on the program committee as an area chair for several top-tier venues such as ACL, EMNLP, COLING, WSDM, Webconf, SIGIR, ACM MM, and IEEE Transactions. He is the recipient of several national and international awards, grants, and fellowships, including the Best Paper Awards from IEEE Transactions in 2022 and at the EMNLP 2023 workshop and the DAAD AINet fellowship in 2023.
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Collaborations and top research areas from the last five years
Projects
- 1 Finished
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VaxGuard: Combating Malicious AI-Generated Vaccine Misinformation Campaigns
Naseem, U. (Primary Chief Investigator), Dras, M. (Primary Chief Investigator), Beheshti, A. (Primary Chief Investigator), Lau, A. (Primary Chief Investigator) & Liu, S. (Primary Chief Investigator)
1/07/24 → 31/12/25
Project: Research
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Addressing the challenges of mental health conversations with large language models
Shiwakoti, S., Shah, S. B., Razzak, I., Thapa, S. & Naseem, U., 2025, WWW Companion '25: Companion proceedings of the ACM Web Conference 2025. New York: Association for Computing Machinery, p. 2597-2602 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
Open AccessFile4 Downloads (Pure) -
Ask, acquire, understand: a multimodal agent-based framework for social abuse detection in memes
Lin, X., Jia, C., Ji, J., Han, H. & Naseem, U., 2025, WWW '25: proceedings of the ACM Web Conference 2025. New York: Association for Computing Machinery, p. 4734-4744 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
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BEAST: leveraging contrastive learning and unsupervised sentence embeddings for improved drug abuse detection
Shiwakoti, S., Shah, S. B., Wang, W., Thapa, S., Razzak, I. & Naseem, U., 2025, WWW Companion '25: Companion proceedings of the ACM Web Conference 2025. New York: Association for Computing Machinery, p. 1938-1945 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
Open AccessFile15 Downloads (Pure) -
BeefBot: harnessing advanced LLM and RAG techniques for providing scientific and technology solutions to beef producers
Zhang, Z., Wilson, C. A., Hay, R., Everingham, Y. & Naseem, U., 2025, The 31st International Conference on Computational Linguistics: proceedings of the System Demonstrations. Stroudsburg, PA: Association for Computational Linguistics, p. 54-62 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
Open Access1 Citation (Scopus) -
Can Argus Judge Them All? Comparing VLMs across domains
Joshi, H., Kashyap, G. S., Ali, R., Shabbir, E., Jain, N., Jain, S., Gao, J. & Naseem, U., 23 Jun 2025, (Submitted) 8 p. (arXiv).Research output: Working paper › Preprint