Rate My Professor Yasmeen George

Dr. Yasmeen George is a Senior Lecturer in the Department of Data Science & AI at Monash University's Faculty of Information Technology, where she also serves as Interim Deputy Head of Department and co-founder of the AIM for Health Lab. She holds a PhD in Electrical and Electronic Engineering from the University of Melbourne (2018), with a thesis on Medical Image Processing with Application to Psoriasis, and a Master of Computer Science (by research) in medical image analytics from Ain Shams University, Egypt (2013). Previously, she was an Associate Lecturer and Research Fellow at the University of Melbourne, teaching data science and implementing AI for event detection and social media analytics. At IBM Research Australia, she worked as a Research Scientist on AI for retinal disease diagnosis, patient monitoring, deep reinforcement learning, and interpretability in machine learning. Since 2021, she has been a Research Affiliate at the Victorian Institute of Forensic Medicine.

Her research focuses on artificial intelligence, machine learning, medical image and video analytics, and healthcare data analytics in radiology, dermatology, neurology, oncology, and ophthalmology. Key applications include AI for automated analysis of kidney, breast, skin, and brain cancers, glaucoma, and psoriasis, involving cancer segmentation, classification, disease severity assessment, and lesion detection across text, numerical, 2D images, and 3D volumes. Notable publications are: "Attention-guided 3D-CNN framework for glaucoma detection and structural-functional association using volumetric images" (2020, IEEE Journal of Biomedical and Health Informatics); "Real-time spatio-temporal event detection on geotagged social media" (2021, Journal of Big Data); "Automatic scale severity assessment method in psoriasis skin images using local descriptors" (2020, IEEE Journal of Biomedical and Health Informatics); "Automatic psoriasis lesion segmentation in two-dimensional skin images using multiscale superpixel clustering" (2017, Journal of Medical Imaging); and "A coarse-to-fine 3D U-net network for semantic segmentation of kidney CT scans" (2022). George holds two patents, has delivered invited talks, and secured grants including from MRFF and NHMRC. She received the Heidelberg Laureate Foundation Alumni Award in 2023. Her work contributes to UN SDGs 3 and 12.