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Mohammad received his Ph.D. degree (2012) in Computer and Communication Sciences from the École Polytechnique Fédérale de Lausanne (EPFL) , Switzerland. His Ph.D. thesis focused on compressed sensing and source separation strategies for multichannel data. He was a CNRS postdoctoral researcher in Applied Mathematics Research Centre (CEREMADE) at Université Paris Dauphine, France, in 2013. He was awarded the Swiss National Science Foundation (SNSF) Fellowship and visited the DSP group at Rice University, Houston TX USA, in 2014. In 2015, he joined the School of Engineering at the University of Edinburgh as an EPSRC Research Associate and held an early career award from the Scottish Research Partnership in Engineering (SRPe) for the project “Accelerating quantitative Magnetic Resonance Imaging acquisition and reconstruction”. Since August 2018, Mohammad joined the University of Bath as an assistant professor (lecturer) in Computer Science.
His research interests include machine learning, signal and image processing, compressed sensing, low-complexity data models, source separation, optimisation algorithms for large-scale machine learning and data science: theoretical and applied to medical imaging and computer vision.
For more information please visit my personal webpage!
Visiting researcher , University of Edinburgh
1 Aug 2018 → …
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- 2 Active
EDPan: Earlier detection of Pancreatic cancer through personalised assessment of risk combined with non-invasive infrared spectroscopy
1/06/21 → 31/05/22
Project: Research council
Accelerated 3D whole-brain T1, T2, and proton density mapping: feasibility for clinical glioma MR imagingPirkl, C. M., Nunez-Gonzalez, L., Kofler, F., Endt, S., Grundl, L., Golbabaee, M., Gomez, P. & al, E., 2021, In: Neuroradiology.
Research output: Contribution to journal › Article › peer-reviewOpen Access
Golbabaee, M., Buonincontri, G., Pirkl, C. M., Menzel, M. I., Menze, B. H., Davies, M. & Gómez, P. A., 30 Apr 2021, In: Medical Image Analysis. 69, 101945.
Research output: Contribution to journal › Article › peer-review
Cortinhas, S., Golbabaee, M. & Ehrhardt, M. J., 7 Oct 2020.
Research output: Working paper / Preprint › PreprintFile
Chen, D., Davies, M. E. & Golbabaee, M., 29 Sep 2020, (E-pub ahead of print) Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Cham, Switzerland: Springer Science and Business Media Deutschland GmbH, p. 13-22 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12262 LNCS).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Cencini, M., Gomez, P., Golbabaee, M. & al, E., 2020, In: Magnetic Resonance in Medicine .
Research output: Contribution to journal › Conference article › peer-review