Simanto Saha

Simanto Saha

Higher Degree by Research Candidate

School of Electrical and Electronic Engineering

Faculty of Engineering, Computer and Mathematical Sciences


Simanto Saha is a Master of Philosophy candidate 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 South Australian Health and Medical Research Institute (SAHMRI) and at the Royal Adelaide Hospital. His research interests include brain computer interface, computational neuroscience, signal processing and computational intelligence.

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  • Journals

    Year Citation
    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
    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 Scopus3 WoS3 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 Scopus4 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 Scopus2 WoS3
    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
    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 Scopus3 WoS3
    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 Scopus1 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 Scopus3
    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
    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
    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 Scopus5 WoS2
    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
  • 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 & Electronnic Engineering (the University of Adelaide), 2019
  • 25% Tuition Fee Waiver by United International University for Undergraduate Study
  • Merit Scholarships by United International University during Undergraduate Study
    • 100% (2 Trimesters), 50% (4 Trimesters), 25% (2 Trimesters)

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