Research Bites: News Digest (July – August 2025)

Research Bites is your research news digest which aims to capture the diverse research happening in our faculty, collated from various media outlets. In this edition…


A Charles Sturt University PhD graduate, Dr Chrissy Antonopoulos | School of Psychology, and colleagues have found evidence of disability bias in Australia in the first study of its kind here. Read more….


In their recent publication, co-authors and collaborators, Arash Mahboubi, Khanh Luong, Seyit A. Camtepe, GeoffJarrad, Michael Bewong, Hamed Aboutorab, and Hang Bui Thanh, developed ConceptUML, a fully unsupervised framework that helps detect lateral movement threats, even the ones we haven’t seen before. It uses semantic learning and pulls in knowledge from MITRE ATT&CK and CAPEC, all without needing labeled data or heavy manual work.


Dr Leo Lin (School of Policing Studies) shares his latest article here. It explores the organisational dynamics of US law enforcement in combating high-tech crimes. This theory-driven research draws on my field experiences in Washington, DC, and Maguire’s (2003) theory of police organisation to analyse law enforcement strategies.


Working paper alert! Dr Nicola Thomas | School of Business, and her colleague Wayne Geerling (University of Texas) explore how pet-powered pedagogy boosts student connection, motivation, and LMS logins. 
Read their working paper here: https://lnkd.in/gCdHcpZK Feedback welcome!

Thomas, N., and Geerling, W. (2025, July). Paws and Pedagogy [Image embedded] [Post]. LinkedIn. https://www.linkedin.com/posts/jongoodwin3_apa2019-activity-6569581103441682432-CN98


Congratulations Dr Leo Lin (School of Policing Studies) who recently won the Best Oral Presentation Award for his paper at the 1st International Online Conference on Risk and Financial Management hosted by Journal of Risk and Financial Management. Leo’s paper, titled “Leveraging Federated Learning for Enhancing Anti-Fraud Systems in Fintech: Opportunities and Challenges” discusses how Federated Learning (FL) can revolutionise anti-fraud systems and mitigate risks at domestic and international levels. This interdisciplinary work has the potential to drive impactful change in the industry. Check out the winner announcement: https://lnkd.in/geas4Xhw