Hosna Nasiriyan Rad is a PhD candidate in Artificial Intelligence at Monash University, Australia. Her research focuses on developing artificial intelligence and biomedical signal processing methods for neonatal feeding and digestion monitoring using wearable sensing technologies.

Her work aims to improve the assessment of infant feeding by automatically detecting swallowing events, estimating milk intake, and monitoring gastrointestinal activity through bowel sound analysis. By combining machine learning, deep learning, and signal processing techniques, her research seeks to develop non-invasive technologies that support clinicians and families in neonatal healthcare.

Prior to commencing her PhD, Hosna completed her Master of Science in Electronic Engineering at the Iran University of Science and Technology and her Bachelor of Science in Electronic Engineering at Hamedan University of Technology, graduating as a top-ranked student. She has also worked in industry on the development of acoustic emission and FPGA-based systems and has authored several publications in artificial intelligence and biomedical engineering.

Her broader research interests include artificial intelligence, machine learning, biomedical signal processing, digital health, wearable sensors, and healthcare technologies.