Simanto Saha

Higher Degree by Research Candidate

School of Electrical and Electronic Engineering

Faculty of Engineering, Computer and Mathematical Sciences


Simanto Saha is a Graduate Researcher in the School of Electrical and Electronic Engineering at the University of Adelaide and is also affiliated with the Centre for Heart Rhythm Disorders situated at the South Australian Health and Medical Research Institute and the Royal Adelaide Hospital. His research interests include Brain Computer Interface, Computational Neuroscience, Signal Processing, and Computational Intelligence. He is 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 has received the Leo J Mahar Scholarship from the University of Adelaide for pursuing his graduate research. He has been awarded the Research Travel Scholarship from the University of Adelaide and the IEEE EMBS Student Travel Award for attending IEEE EMBC 2019. He worked as a reviewer in selected journals including Scientific Reports, IEEE TNSRE, IEEE Access, Frontiers in Neuroscience, and Biomedical Signal Processing & Control. He has co-authored 6 journal articles and 11 conference papers/abstracts.

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  • Journals

    Year Citation
    2020 Saha, S., & Baumert, M. (2020). Intra- and Inter-subject Variability in EEG-Based Sensorimotor Brain Computer Interface: A Review. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 13, 8 pages.
    DOI
    2019 Saha, S., Hossain, M., Ahmed, K., Mostafa, R., Hadjileontiadis, L., Khandoker, A., & Baumert, M. (2019). Wavelet Entropy-Based Inter-subject Associative Cortical Source Localization for Sensorimotor BCI. Frontiers in Neuroinformatics, 13, 11 pages.
    DOI Scopus2 WoS2
    2018 Saha, S., Ahmed, K., Mostafa, R., Hadjileontiadis, L., & Khandoker, A. (2018). Evidence of Variabilities in EEG Dynamics during Motor Imagery-Based Multiclass Brain-Computer Interface. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26(2), 371-382.
    DOI Scopus6 WoS6 Europe PMC2
    2017 Saha, S., Ahmed, K., Mostafa, R., Khandoker, A., & Hadjileontiadis, L. (2017). Enhanced inter-subject brain computer interface with associative sensorimotor oscillations. Healthcare Technology Letters, 4(1), 39-43.
    DOI Scopus6 Europe PMC3
    2017 Khandoker, A., Luthra, V., Abouallaban, Y., Saha, S., Ahmed, K., Mostafa, R., . . . Jelinek, H. (2017). Predicting depressed patients with suicidal ideation from ECG recordings. Medical and Biological Engineering and Computing, 55(5), 793-805.
    DOI Scopus4 WoS5
    2017 Khandoker, A., Luthra, V., Abouallaban, Y., Saha, S., Ahmed, K., Mostafa, R., . . . Jelinek, H. (2017). Suicidal ideation is associated with altered variability of fingertip photo-plethysmogram signal in depressed patients. Frontiers in Physiology, 8(JUL), 501.
    DOI
    Saha, S., Mamun, K. A., Ahmed, K., Mostafa, R., Naik, G. R., Khandoker, A., . . . Baumert, M. (n.d.). Progress in Brain Computer Interfaces: Challenges and Trends.
  • Conference Papers

    Year Citation
    2020 Saha, S., Hartmann, S., Linz, D., Sanders, P., & Baumert, M. (2020). A Ventricular Far-Field Artefact Filtering Technique for Atrial Electrograms. In 2019 Computing in Cardiology (CinC) Vol. 2019-September (pp. 1-4). online: IEEE.
    DOI
    2019 Saha, S., Linz, D., Sanders, P., & Baumert, M. (2019). Beamforming-inspired Spatial Filtering Technique for Intracardiac Electrograms. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS Vol. 2019 (pp. 4254-4257). online: IEEE.
    DOI Scopus1
    2018 Hossain, M., Saha, S., Ahmed, K., & Mostafa, R. (2018). CMEM-based motor imagery induced cortical source localization for computationally efficient brain computer interface. In 5th IEEE Region 10 Humanitarian Technology Conference 2017, R10-HTC 2017 Vol. 2018-January (pp. 542-545). BUET, Dhaka, BANGLADESH: IEEE.
    DOI
    2017 Saha, S., Ahmed, K., & Mostafa, R. (2017). Wavelet coherence based channel selection for classifying single trial motor imagery. In Proceedings of 9th International Conference on Electrical and Computer Engineering, ICECE 2016 (pp. 467-470). Dhaka, BANGLADESH: IEEE.
    DOI Scopus4 WoS4
    2017 Sabbir, A., Bodroddoza, K., Hye, A., Ahmed, M., Saha, S., & Ahmed, K. (2017). Prototyping arduino and android based m-health solution for diabetes mellitus patient. In 1st International Conference on Medical Engineering, Health Informatics and Technology, MediTec 2016 (pp. 4 pages). Dhaka, BANGLADESH: IEEE.
    DOI Scopus3 WoS1
    2017 Hossain, M., Saha, S., Habib, M., Noman, A., Sharfuddin, T., & Ahmed, K. (2017). Application of wavelet-based maximum entropy on the mean in channel optimization for BCI. In 1st International Conference on Medical Engineering, Health Informatics and Technology, MediTec 2016 (pp. 5 pages). Dhaka, BANGLADESH: IEEE.
    DOI Scopus4
    2016 Khandoker, A., Luthra, V., Abouallaban, Y., Saha, S., Ahmed, K., Mostafa, R., . . . Jelinek, H. (2016). Identifying depressed patients with and without suicidal ideation by finger photo-plethysmography. In J. Patton, R. Barbieri, J. Ji, E. Jabbari, S. Dokos, R. Mukkamala, . . . A. Dhawan (Eds.), Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS Vol. 2016-October (pp. 1842-1845). Orlando, FL: IEEE.
    DOI Scopus1
    2016 Saha, S., Ahmed, K., & Mostafa, R. (2016). Unifying sensorimotor dynamics in multiclass brain computer interface. In 2016 5th International Conference on Informatics, Electronics and Vision, ICIEV 2016 (pp. 530-535). Univ Dhaka, Dhaka, BANGLADESH: IEEE.
    DOI Scopus1 WoS1
    2015 Khandoker, A., Luthra, V., Abouallaban, Y., Saha, S., Ahmed, K., Mostafa, R., . . . Jelinek, H. (2015). Reduced variability in pulse wave velocity in depressed patients with suicidal ideation. In A. Murray (Ed.), Computing in Cardiology Vol. 42 (pp. 1061-1064). Comp in Cardiol 2015, nice, FRANCE: IEEE.
    DOI Scopus7 WoS4
    2015 Saha, S., & Ahmed, K. (2015). Efficient event related oscillatory pattern classification for EEG based BCI utilizing spatial brain dynamics. In 8th International Conference on Electrical and Computer Engineering: Advancing Technology for a Better Tomorrow, ICECE 2014 (pp. 707-710). Dhaka, BANGLADESH: IEEE.
    DOI Scopus4 WoS4
  • Conference Items

    Year Citation
    2019 Linz, D., Saha, S., Kutieleh, R., Kadhim, K., Lau, D., Baumert, M., & Sanders, P. (2019). Impact of bipolar vector orientation and inter-electrode spacing on electrograms during human atrial fibrillation. Poster session presented at the meeting of EUROPEAN HEART JOURNAL. Paris, FRANCE: OXFORD UNIV PRESS.
  • Leo J Mahar Scholarship by the University of Adelaide, Janurary 2018-January 2020
  • Full Fee Scholarship by the University of Adelaide, Janurary 2018-January 2020
  • Research Travel Scholarship by the University of Adelaide, 2019
  • IEEE EMBS Student Travel Award by IEEE, 2019
  • School Travel Allowance by the School of Electrical & Electronic Engineering (the University of Adelaide), 2019

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