Ehsan Eqlimi

Ehsan Eqlimi currently works at WAVES research group, Department of Information Technology (INTEC), Ghent University (UGent) /IMEC company, Ghent, Belgium. His work mainly focuses on developing the signal processing algorithms for brain functions and networks, through EEG, MEG, and fMRI. He also has interests in sparse representation and compressed sensing.

 He received the BSc and MSc degrees in Biomedical Engineering from Sahand University of Technolgy (SUT) and Tehran University of Medical Sciences (TUMS), Iran in 2010 and 2013, respectively. His Master thesis was "resting-state fMRI connectivity analysis for patients with Multiple Sclerosis (MS) based on graph theory".

 He has been a senior researcher since 2013 for 4 years at Tehran University of Medical Sciences (TUMS). During this time, he focused on EEG source localization for motor intention decoding. He also has developed and published some novel algorithms on underdetermined blind identification and source recovery based on the sparse component analysis. 

He has the experience of working on "image processing and pattern recognition"  for the biometric application as an R&D engineer (2011-2016) in R&D departments of several reputable companies in Tehran, Iran. 

Currently, he investigates how can the auditory attention be monitored by single-trial EEG signal processing. 

Topics: 
EEG signal processing, EEG source reconstruction, sparse representation, compressed sensing, blind source separation, brain connectivity
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