DML Sharif University of Technology

Mehrdad Yaghoobi

Group Multemedia Systems and Complex Networks
Entrance 2004

Mehrdad Yaghoobi received his PhD from the University of Edinburgh on Signal Processing with an emphasis on sparse signal processing and learning. He was a researcher in the Institute for Digital Communications since 2010, where he is now a Lecturer on Signal and Image Processing. He has served as a reviewer for many international journals and been a technical committee member of some IEEE conferences. The outcomes of his research has been licensed for evaluation and commercial uses in industry.His current theoretical research interests include low-dimensional signal modelling and learning, compressed sensing and phase disrupted sensing. He is also interested in various applications in biomedical and defence signal processing, imaging systems and low-complexity sampling, e.g. spectral sensing and processing, Synthetic Aperture Radar and medical imaging.