Dr. Mohammod Abdul Motin
Assistant Professor, Department of Electrical & Electronic Engineering,
Rajshahi University of Engineering & Technology
mamotin@eee.ruet.ac.bd
Member since 2021

Short Biography

Dr Mohammod Abdul Motin completed his PhD with the Department of Electrical and Electronic Engineering, the University of Melbourne, Victoria, Australia, in 2020. He received the M.Sc. Eng. and B.Sc. Eng. degree in electrical & electronic engineering from the Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh, in 2014 and 2011, respectively.

He is currently working as an Assistant Professor at the Department of Electrical & Electronic Engineering, Rajshahi University of Engineering and Technology, Bangladesh. His research interests include biomedical signal processing and machine learning, time series analysis, embedded system, neurological disorders monitoring, and health care monitoring using wearable sensors and devices.

 Selected Publications

  1. Mohammod Abdul Motin, Nemuel D. Pah, Sanjay Raghav, and Dinesh K. Kumar: Parkinson’s Disease Detection Using Smartphone Recorded Phonemes in Real- World Conditions, IEEE Access, 2022.
  2. Nemuel D. Pah, Mohammod Abdul Motin, and Dinesh K. Kumar: “Phonemes Based Detection of Parkinson’s Disease for Telehealth Applications”, Scientific Reports, 2022.
  3. Mohammod Abdul Motin, Chandan Karmakar, Marimuthu Palaniswami: Selection of Empirical Mode Decomposition Techniques for Extracting Respiratory Rate from PPG, IEEE Signal Processing Letter, vol. 26, no. 4, pp. 592-596, 2019.
  4. Mohammod Abdul Motin, Chandan Karmakar, Marimuthu Palaniswami: PPG Derived Heart Rate Estimation during Intensive Physical Exercise using Recursive Wiener Filtering, IEEE Access, 7, pp.56062-56069, 2019.
  5. Mohammod Abdul Motin, Chandan Karmakar, Marimuthu Palaniswami: Ensemble Empirical Mode Decomposition with Principal Component Analysis: A Novel Approach for Extracting Respiratory Rate and Heart Rate from Photoplethysmographic Signal. IEEE Journal of Biomedical and Health Informatics, vol. 22, no. 3, pp. 766-774, 2018.