Organizing Committee

Biography: 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 (ECE) and MA in Applied Mathematics and Statistics (AMS) from Johns Hopkins University (JHU) on ECE-JHU fellowship (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 Center. 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. He has published his work in leading scientific journals and presented it at various conferences and universities around the world. He also carries a university teaching experience of over 14 years (UET Lahore, SBASSE LUMS, and Johns Hopkins University).

Biography: Saima Rathore is a Senior Research Scientist Eli Lilly Pharmaceutical Company and a lead Scientific Software Developer at the Center for Biomedical Image Computing and Analytics (CBICA) in the Radiology Department of the University of Pennsylvania. She completed her PhD in computer science from Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan in 2015. She has industry software design and development experience of 11 years. At CBICA, she is the Lead Scientific Developer of Cancer Imaging Phenomics Toolkit. Her research interests include medical image analysis, segmentation, classification and evolutionary algorithms. She has published her work in leading scientific journals and presented it at various conferences and universities around the world.

Biography: Madhura Ingalhalikar is an expert in multi-modal MRI analysis, deep learning and predictive and computational modeling for neuroimaging and its applications to various clinical disorders. She has a degree in biomedical engineering from the University of Iowa following which she worked as research associate at the University of Pennsylvania and then as an Assistant Professor at Villanova University. Currently, she is leading the research in medical imaging at Symbiosis (India) and working towards building Symbiosis Center for Medical Image Analysis (SCMIA) as a world class center for medical imaging research.

Program Committee (to be expanded)

Ulas Bagci, PhD, Department of Computer Science, University of Central Florida, Orlando, FL, USA

Nicolas Honnorat, PhD, SRI International, Menlo Park, CA, USA

Ahmad Chaddad, PhD, Ecole de Technologie Superieure & Scientist researcher, McGill University, Montreal, Canada

Niha Beig, PhD, Tempus Labs, Inc, San Francisco, CA, USA