Mohammad Arafat Hussain, PhD, MASc, MSc

Mohammad Arafat Hussain is currently a Postdoctoral Research Fellow in the Fetal-Neonatal Neuroimaging Developmental Science Center at Harvard Medical School, Boston, Massachusetts. His research focuses on using advanced neuroimaging techniques and artificial intelligence to predict individual differences in neurocognition and intelligence, with a particular emphasis on leveraging machine learning to analyze MRI and genomic data.

Prior to his current role, he was a Postdoctoral Research Associate in the Medical Image Analysis Lab (MIAL) at Simon Fraser University, Burnaby, BC, Canada.

Dr. Hussain earned his Ph.D. in Biomedical Engineering at the University of British Columbia (UBC), Vancouver, where his research primarily centered on kidney cancer detection and analysis in CT using deep learning. He also completed his M.A.Sc. in Biomedical Engineering at UBC, with a project focusing on robust bone boundary localization in ultrasound to facilitate minimally invasive ultrasound-guided orthopedic surgery.

Before his time at UBC, he earned both his M.Sc. and B.Sc. in Electrical and Electronic Engineering at Bangladesh University of Engineering & Technology (BUET). During his M.Sc., he worked as a Research Engineer, developing novel ultrasound elastography techniques for breast cancer detection. Additionally, he gained industry experience as a Software Engineer at the Samsung R&D Institute Bangladesh after completing his B.Sc. degree.