Simanto Saha is pursuing his doctoral studies in the School of Biomedical Engineering at the University of Sydney as a recipient of the University of Sydney International Scholarship. His research interests include Brain-Computer Interface, Computational Neuroscience, Signal Processing and Computational Intelligence. He completed the Master of Philosophy from the University of Adelaide with Dean's Commendation for Master by Research Thesis Excellence. He received the Leo J Mahar Scholarship from the University of Adelaide for pursuing his graduate research. He was awarded the Research Travel Scholarship from the University of Adelaide and the IEEE EMBS Student Travel Award for attending IEEE EMBC 2019. He has been affiliated with the Institute of Electrical and Electronics Engineers (IEEE) since 2013 and served as the News and Communication Coordinator in IEEE EMBS Bangladesh Chapter for 2016. He worked as a reviewer in selected journals, including Scientific Reports, IEEE TNSRE, IEEE Access, Frontiers in Neuroscience, and Biomedical Signal Processing & Control (Publons). He has co-authored 7 journal articles, 11 conference papers/abstracts.

Selected Publications

S. Saha, K. A. Mamun, K. Ahmed, R. Mostafa, G. R. Naik, A. H. Khandoker, S. Darvishi, and M. Baumert, "Progress in brain computer interface: challenges and opportunities", Frontiers in Systems Neuroscience, vol. 15, 2021. (doi: 10.3389/fnsys.2021.578875)

S. Saha and M. Baumert, "Intra- and Inter-subject Variability in EEG-Based Sensorimotor Brain Computer Interface: A Review", Frontiers in Computational Neuroscience, vol. 13, 2020. (doi: 10.3389/fncom.2019.00087)

S. Saha, M.S. Hossain, K. Ahmed, R. Mostafa, L. Hadjileontiadis, A. Khandoker and M. Baumert, "Wavelet Entropy-Based Inter-subject Associative Cortical Source Localization for Sensorimotor BCI", Frontiers in Neuroinformatics, vol. 13, 2019. (doi: 10.3389/fninf.2019.00047)

S. Saha, K. Ahmed, R. Mostafa, L. Hadjileontiadis and A. Khandoker, "Evidence of Variabilities in EEG Dynamics During Motor Imagery-Based Multiclass Brain–Computer Interface," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 26, no. 2, pp. 371-382, Feb. 2018. (doi: 10.1109/TNSRE.2017.2778178)

S. Saha, K. Ahmed, R. Mostafa, A. Khandoker and L. Hadjileontiadis, "Enhanced Inter-subject Brain Computer Interface with Associative Sensorimotor Oscillations", Healthcare Technology Letters, vol. 4, no. 1, pp. 39-43, 2017. (doi: 10.1049/htl.2016.0073)