Mohammad Golbabaee

MG

Welcome to my page! I am currently a faculty member in the Computer Science Department at University of Bath.

From January 2023, I will be joining the Department of Engineering Mathematics at  University of Bristol.

The focus of my research is on the development of mathematical and computational models for solving inverse problems, large-scale optimization and machine learning with applications to biomedical imaging technologies, signals and sensors, and computer vision.


NEWS: I am very excited about my new project “Deep compressive quantitative MRI” funded by the EPSRC. Project partners are GE Healthcare, UCL’s Centre for Medical imaging and University of Zurich Prof Bjoern Menze.

As a part of this project, I am looking for a new postdoc and PhD students to join my group. Please get in touch or help spread the word!


I am always looking forward to working with motivated PhD students, currently on topics related to:

  • Computational imaging
  • Signal and image processing
  • Biomedical sensors and imaging systems
  • Machine learning (deep/multi-modal/physics-informed), explainable AI
  • Inverse problems, compressed sensing theory
  • Optimisation algorithms for large-scale machine learning or inverse problems

Please send me an email if you are interested!


Short bio: Before my current position, I worked in the following international groups:

In 2014, I was awarded a Swiss National Science Foundation Fellowship to visit Rice University (Prof Richard Baraniuk), and in 2017 I held an early career award from the Scottish Research Partnership in Engineering (SRPe) for collaborations with GE Healthcare and Technical University of Munich (Prof Bjoern Menze) on the project “Accelerating quantitative Magnetic Resonance Imaging acquisition and reconstruction”. I am currently a fellow of the Institute for Mathematical innovation, and a member of the Centre for Therapeutic Innovations, Bath AI and Visual Computing groups, and the Centre for Mathematics and Algorithms for Data.