Profile

Dr. Md. Johirul Islam

ড. মোঃ জহিরুল ইসলাম

Associate Professor

  •  Room No:  Second Floor (West Block), Administration Building
  •  Phone:   880-1723216880
  •  Email:   johirulap@gmail.com
  • johirul@phy.ruet.ac.bd
  •  Website:   https://www.phy.ruet.ac.bd/johirul
Dr. Md. Johirul Islam received B. Sc. and M. Sc. from the Dept. of Applied Physics and Electronic Engineering, University of Rajshahi, Bangladesh. Also, he  completed Ph. D. from the Dept. of Electrical and Electrical Engineering, University of Rajshahi, Bangladesh. His research interests are Biomedical Engineering, Machine Learning, EMG Feature Extraction, Myoelectric Pattern Recognition, Neuroscience, Biomedical Instrumentation, and Embedded systems.
Field of Research
  •  Myoelectric Pattern Recognition
  •  Feature Engineering
  •  Human Machine Interfacing
  •  Biomedical Instrumentation
  •  Embedded System
Google Scholar ResearchGate ORCID
  •  First Joined: 01st Oct, 2016
  •      Dept. of Physics

Position

Book / Book Chapter
0
Journal Articles
9
Conference Papers
1
SL Authors Title Publisher Details Publication Year Type
1 M. S. Hossain, M. J. Islam, and M. R. Islam Unraveling cEMG-wet sEMG Correlation Dynamics: Investigating Influential Factors Journal of Electromyography and Kinesiology 2024 Journal
2 Islam, M.J., Ahmad, S., Ferdousi, A., Haque, F., Reaz, M.B.I., Bhuiyan, M.A. and Islam, M.R. Optimizing electrode positions on forearm to increase SNR and myoelectric pattern recognition performance Engineering Applications of Artificial Intelligence, p-106160 2023 Journal
3 M. J. Islam, S. Ahmad, F. Haque, M. B. I. Reaz, M. A. S. Bhuiyan, and M. R. Islam Application of Min-Max Normalization on Subject Invariant EMG Pattern Recognition IEEE Transactions on Instrumentation and Measurement, Vol. 71, pp 1-12 2022 Journal
4 M. J. Islam, S. Ahmad, F. Haque, M. B. I. Reaz, M. A. S. Bhuiyan, Khairun Nisa’ Minhad, and M. R. Islam Myoelectric Pattern Recognition Performance Enhancement Using Nonlinear Features Computational Intelligence and Neuroscience, vol. 2022, pp. 1–19, 2022 Journal
5 M. J. Islam, S. Ahmad, F. Haque, M. B. I. Reaz, M. A. S. Bhuiyan, and M. R. Islam Forearm Orientation and Muscle Force Invariant Feature Selection Method for Myoelectric Pattern Recognition IEEE Access,vol. 10, pp. 46442-46471 2022 Journal
6 M. J. Islam, S. Ahmad, F. Haque, M. B. I. Reaz, M. A. S. Bhuiyan, and M. R. Islam Force-Invariant Improved Feature Extraction Method for Upper-Limb Prostheses of Transradial Amputees Diagnostics, vol. 11, no. 5, pp. 843. 2021 Journal
7 M. J. Islam, S. Ahmad, F. Haque, M. B. I. Reaz, M. A. S. Bhuiyan, and M. R. Islam A Novel Signal Normalization Approach to Improve the Force Invariant Myoelectric Pattern Recognition of Transradial Amputees IEEE Access, vol. 9, pp. 79853 - 79868 2021 Journal
8 B. Saha, M. J. Islam, A. S. Dipto, and S. K. Mostaque An Efficient Approach for Appearance Based Eye Gaze Estimation with 13 Directional Points 2021 Int. Conf. Comput. Commun. Chem. Mater. Electron. Eng., pp. 1–5, Dec. 2021 2021 Conference
9 M. J. Islam, and S. K. Mostaque, Microcontroller Based Water Level Detection and Pump Control Using Ultrasound JMEST 2016 Journal
10 M. J. Islam, and R. Hasan, Impact Of Noise Cancellation Scheme On Performance Enhancement Of MIMO-OFDM Wireless Communication System JMEST 2015 Journal
  •  Dean's award 2023 from the University of Rajshahi for Ph. D. publications
  •  Best student for securing highest CGPA in B. Sc. (Hons) part I and part II examination from University of Rajshahi.
  •  Ph. D. Fellowship, Information and Communication Technology Division, Ministry of Posts, Telecommunications and Information Technology, Government of Bangladesh.
  •  B. Sc. (Hons), Sena Kalyan Sangstha, Bangladesh
  •  M. Sc. Fellowship-2013, National Science and Information & Communication Technology (NSICT), Bangladesh.
  •  B. Sc. (Hons) part I and part II, University of Rajshahi
  •  Reviewer: IEEE Access, Scientific Reports, PLOS ONE, Journal of NeuroEngineering and Rehabilitation
Phd Students
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Masters Students
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Undergraduate Students
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Activity Description