Dr. Hassan Mohy-ud-Din
Director ATP (Algorithms in Theory and Practice) Lab
Assistant Professor of Electrical Engineering
Syed Babar Ali School of Science and Engineering, LUMS, Pakistan
Biography
Dr. Hassan Mohy-ud-Din is the Director of Algorithms in Theory and Practice Lab and an Assistant Professor of Electrical Engineering, Syed Babar Ali School of Science and Engineering, LUMS. He completed his PhD and MSE in Electrical and Computer Engineering and MA in Applied Mathematics and Statistics from Johns Hopkins University (2009 – 2015). He was recipient of PhD Fellowship from Johns Hopkins University. 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, Lahore, Pakistan. His research is at the intersection of applied mathematics and clinical imaging – exploiting tools in machine learning, optimization, statistics, and information theory to develop novel algorithms for clinical and translational imaging. He has done extensive research in multimodality imaging including PET/CT, SPECT/CT, PET/MR, Low-dose CT, and multiparametric MRI and developed computational pipelines for brain imaging, cardiac imaging, and abdominal 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 the 2019 Charles Wallace Fellowship from the British Council, Pakistan. He also serves as a reviewer on major scientific journals and a member of IEEE and SIAM societies. He carries a university teaching experience of over fifteen years (including five years at Johns Hopkins University) and is deeply interested in the development, implementation, and evaluation of (pragmatic and effective) pedagogical approaches in schools, colleges, and universities.