Machine Learning and Optimization in (Bio-)Medical Imaging
Dr. Hassan Mohy-ud-Din is the Director of Clinical and Translational Imaging lab and an Assistant Professor at the LUMS School of Science and Engineering. He completed his PhD and MSE in Electrical and Computer Engineering and MA in Applied Mathematics and Statistics from Johns Hopkins University (2009 – 2015). From 2015 – 2017 he was a postdoctoral associate in the Department of Radiology and Biomedical Imaging at the Yale School of Medicine. From 2017 – 2018 he was a Clinical Research Scientist at Shaukat Khanum Memorial Cancer Hospital and Research Centre. His research lies at the intersection of Applied Mathematics and Medical Imaging. His work on dynamic cardiac PET imaging won the 2014 SNMMI Bradley-Alavi fellowship and the 2014 SIAM student award. He is also a recipient of 2019 Charles Wallace Fellowship from the British Council, Pakistan. His work on non-invasive biomarker quantification for coronary microcirculation was featured as a news story in Medical Physics followed by a dedicated review article from Stanford. He also serves as a reviewer on major scientific journals (Clinical Cancer Research, Neuro-oncology Advances, Medical Image Analysis, Neuroimage, Physics in Medicine and Biology, Medical Physics, IEEE Transactions on Image Processing to name a few) and is a member of IEEE and SIAM societies. He also carries a university teaching experience of over 14 years (UET Lahore, SBASSE LUMS, and Johns Hopkins University).