Speaker
Angshul Majumdar, Indraprastha Institute of Information Technology (IIIT), Delhi, India
Topic
A unified framework from reconstruction to analysis for biomedical signal and image Processing
Abstract
The talk will be divided into three parts. The first part will highlight applications of CS invarious MRI scenarios like single channel static MRI, multi-echo MRI, parallel MRI and Dynamic MRI. The second part will introduce the problem of energy efficient biomedical signal acquisition for body area networks. The application of sparse and low-rank recovery techniques will be highlighted. The final part of the talk will discuss how recent techniques in machine learning can be leveraged to move from a purely 'recovery' based framework to a more holistic approach of signal recovery coupled with signal analysis. Examples will be shown for the biomedical signal analysis problem and realtime dynamic MRI reconstruction problem.
Speaker's biography
Angshul Majumdar completed his PhD from the University of British Columbia in the department of Electrical and Computer Engineering in 2012. He finished his dissertation in a record time of less than 2 years. Since October, 2012 Angshul is an Assistant Professor at the Indraprastha Institute of Information Technology (IIIT) Delhi, India. His research interests are in sparse and low-rank recovery techniques in signal processing. He has more than 80 refereed publications journals and conferences. His research projects have been funded by the DST INSPRE Program, the DST Indo-US Program and the DEITy ITRA Program. Angshul is a member of the IEEE and the ISMRM. He has served in technical program committees of ICASSP 2013-15, ICIP 2013-15 and MICCAI 2013-15. He was the general chair for the IEEE SPS-APSIPA Winter School for Machine Intelligence and Signal Processing held in New Delhi, December 2014.
Invited by the Department of Electrical and Computer Engineering