Edinburgh Research Explorer

Dr Mohammad Golbabaee

(Former employee or visitor)


Mohammad received his Ph.D. degree (2012) in Computer and Communication sciences from the École Polytechnique Fédérale de Lausanne (EPFL) Switzerland, and under the direction of Prof. Pierre VandergheynstHis thesis focused on compressive sampling and source separation strategies for multichannel data. In 2013, he worked as a CNRS researcher in Applied Mathematics Research Center (CEREMADE), Université Paris Dauphine France, under the direction of Prof. Gabriel Peyré. In 2014, he joined the DSP team at Rice University, Houston Texas, as a SNSF postdoc fellow under the direction of Prof. Richard Baraniuk. He is currently with the Institute for Digital Communications at University of Edinburgh and working on projects “compressive quantitative MR imaging” and “randomized methods for large-scale optimization” with Prof. Mike Davies

His research interests include inverse problems, compressed sensing, low-complexity priors/models and optimization algorithms for large-scale machine learning and data science applied to biomedical signal and image processing, remote sensing and computer vision.

ID: 53907958