Xujuan Zhou

Prof Xujuan Zhou is a Professor of Information Systems at the School of Business, University of Southern Queensland. She is affiliated with the Centre for Heritage and Culture and the Centre for Health Research. Her work focuses on interdisciplinary applications of machine learning and AI in healthcare, cybersecurity, and agricultural systems. She holds qualifications including a BIT (Honours) and PhD from Queensland University of Technology (QUT).

• Bachelor of IT (BIT), QUT
• Bachelor of IT (Honours), QUT
• PhD in IT, QUT

Her research interests span AI-driven medical diagnostics (e.g., depression prediction, thyroid care), cybersecurity solutions for 5G networks, blockchain applications in agricultural traceability, and hybrid ML models for fraud detection. She has published extensively on topics like intrusion detection systems, remote patient monitoring, and X-ray-based disease identification using CycleGAN. Her work emphasizes both technical innovation and ethical considerations in AI deployment.

Recent publications explore the intersection of social media analysis and mental health monitoring, blockchain for secure recommendation systems, and federated learning for personalized healthcare monitoring. Over 60,000 views and 13,000 downloads of her research outputs highlight the impact of her interdisciplinary work.

Her contributions include developing AI tools for sepsis prediction, pain intensity estimation via facial expressions, and automated classification of lung nodules. She has also pioneered work on quantum-inspired algorithms for optimization problems in medical scheduling.