Niusha Shafiabady

Niusha Shafiabady is an Associate Professor at the Peter Faber Business School, part of the Faculty of Law and Business at Australian Catholic University. Her research focuses on interdisciplinary applications of Artificial Intelligence (AI), including Explainable AI (XAI), machine learning, structural health monitoring, medical diagnosis, and educational technology. She has published extensively in journals like Journal of Building Engineering, IEEE Transactions on Artificial Intelligence, and PLoS ONE.

Her work spans diverse domains: optimizing smart buildings for energy efficiency, diagnosing diseases via deep learning, and predicting student engagement in higher education. She also explores AI’s societal impacts, including its role in organizational agility and ethical considerations in technology adoption.

Recent research highlights include developing novel algorithms for structural monitoring of bridges, hybrid models for respiratory disease diagnosis, and comparative studies of machine learning in gas safety systems. Collaborations span institutions globally, reflecting her commitment to collaborative, applied research.