Ehsan Eqlimi

Ehsan Eqlimi (/'eh 'sa:n 'eq 'li:mi:/) was born in Tehran in 1987. He is interested in developing signal processing algorithms to investigate brain functions and networks, through EEG. He received his bachelor’s degree in biomedical engineering from Sahand University of Technology in 2010. In 2013, he obtained his master’s degree in biomedical engineering from Tehran University of Medical Sciences, where his research focused on brain time series analysis to investigate the functional brain networks using the fMRI. Ehsan published the results of
his master’s thesis as two conference papers. In 2014, his poster won the trainee abstract award for the organization of human brain mapping (OHBM) conference in Hamburg. After graduating with a master’s degree, he worked for three years as an image processing researcher and algorithm designer in the R&D departments of several reputable companies, where he developed some novel methods for face
recognition systems. In parallel, he also collaborated with the Tehran University as an EEG signal processing researcher. During this time, he focused on EEG source localization for motor intention decoding. He also has developed and published some novel algorithms based on sparse representation. His proposed methods were published in two IEEE conference papers and one journal paper. Since November 2017, he has been a doctoral researcher in the WAVES research group at Ghent University, where under the supervision of Prof. Dick Botteldooren and Prof. Annelies Bockstael, he executed research on the auditory perception of speech using single-trial EEG signal processing. He also collaborated with at least three other research groups during his Ph.D. in neural data analysis. During his Ph.D., Ehsan published two first-author and one second-author A1 peer-reviewed journal papers in the top tier and two P1 peer-reviewed conference papers. He also has two under-review journal papers as the first author.