Dr. Mohamed Seghier has more than 20 years of experience in functional neuroimaging, brain mapping, and cognitive neuroscience. He holds a PhD degree in neuroimaging and brain mapping with functional MRI from Joseph Fourier University (Grenoble-France). He did a post-doc at Geneva University Hospitals (Switzerland) where he used neuroimaging methods to study brain function in people with neurological and mental deficits. Between 2006 and 2015, he held the position of Senior Research Fellow at the interdisciplinary Wellcome Centre for Human Neuroimaging, University College London (UCL) in the United Kingdom. He has introduced novel ways of investigating inter-subject variability in brain function. His research at UCL covered different areas in brain recovery after stroke (member of the PLORAS team), brain segmentation, brain lateralization, pattern recognition, brain connectivity and lesion-symptom mapping.
Dr. Seghier joined ECAE in August 2015 where he co-founded the Cognitive Neuroimaging Unit and co-developed an accredited PhD program in Educational Neuroscience. Since September 2021, he moved to Khalifa University. His current aim is to characterize the different sources of inter-subject variability in brain function in terms of structural changes, functional activations, lateralized patterns, and/or interacting networks. This has implications for clinical and educational neuroscience.
Throughout his career, Dr. Seghier taught different courses at both undergraduate and graduate levels, in different countries, and have delivered many specialized seminars to postgraduate students and training courses to research assistants, with a focus on cognitive neuroscience, brain mapping, functional MRI, biostatistics, brain methods, computational neuroscience, brain systems, brain connectivity, and hemispheric specialization.
Dr. Seghier has wide-ranging experience in research-oriented institutions in many countries (France, Switzerland, UK, UAE). He has supervised research assistants and many research projects from undergraduate to post-doctoral level.
Since 2018, Dr Seghier has been serving as Editor-in-Chief of the International Journal of Imaging Systems and Technology (Wiley). Since 2021, he has been serving as Handling Editor at Neuroimage (Elsevier).
Segmentation of stroke lesions
Develop automated methods for brain abnormalties segmentation from clinical MRI scans.
Outcome and recovery prognosis
Develop systems to predict language outcome and recovery after stroke, based on neuroimaging data and lesion-symptom mapping approaches. This project is a collaboration with the UCL-PLORAS Team in the UK.
Develop fMRI-based protocols for the clinical setting, including language and motor tasks.
Since 2022, Dr Seghier has been appointed as Director of KU's Healthcare Engineering Innovation Center (HEIC).