Assistant Professor
Dr. Mohammod Abdul Motin is currently working as an Assistant Professor in the Department of Electrical & Electronic Engineering, Rajshahi University of Engineering & Technology, Bangladesh. He has completed his Ph.D. degree with the Department of Electrical and Electronic Engineering, the University of Melbourne, Australia in 2020. Prior to that, he received his M.Sc. Eng. and B.Sc. Eng. degree in electrical & electronic engineering from the Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh, in 2014 and 2011, respectively. His research interests include biomedical signal processing and machine learning, time series analysis, deep learning, monitoring neurological disorders, and sensor devices for wearable health care monitoring. Dr. Motin is the receipt of several awards and prizes including the IEEE Upsilon Pi Epsilon Award, IEEE Lance Stafford Larson Award, IEEE Richard E. Merwin Scholarship, W. E. and C. H. H. Cook Memorial Award, ISSNIP Travel Grant, Melbourne Abroad Travelling Scholarship (MATS), ANZSCON 2017 Travel Grant, IEEE R10 SAC Best Paper Award (PG Level), IEEE Australia Council Student Paper Award (Post-graduate), and The University of Melbourne MIRS and MIFRS Scholarships.
Electrical & Electronic Engineering
Rajshahi University of Engineering & Technology
Electrical & Electronic Engineering
Rajshahi University of Engineering & Technology
Electrical & Electronic Engineering
Rajshahi University of Engineering & Technology
The University of Melbourne
Rajshahi University of Engineering and Technology
Rajshahi University of Engineering and Technology
| SL | Authors | Title | Publisher Details | Publication Year | Type |
| 1 | Md Mayenul Islam, Sumaiya Kabir, Mohammod Abdul Motin | Difference Poincaré Image Feature Based Persistent Atrial Fibrillation Classification Using Short-Term Electrocardiograms | IEEE Sensors Letters | 2024 | Journal |
| 2 | Quoc Cuong Ngo, Nicole McConnell, Mohammod Abdul Motin, Barbara Polus, Arup Bhattacharya, Sanjay Raghav, Dinesh Kant Kumar | NeuroDiag: Software for Automated Diagnosis of Parkinson’s Disease Using Handwriting | IEEE Journal of Translational Engineering in Health and Medicine | 2024 | Journal |
| 3 | Sheik Mohammed Ali, Sridhar Poosapadi Arjunan, James Peters, Laura Perju-Dumbrava, Catherine Ding, Michael Eller, Sanjay Raghav, Peter Kempster, Mohammod Abdul Motin, PJ Radcliffe, Dinesh Kant Kumar | Wearable accelerometer and gyroscope sensors for estimating the severity of essential tremor | IEEE Journal of Translational Engineering in Health and Medicine | 2024 | Journal |
| 4 | Mohammod Abdul Motin, Chandan Karmakar, Marimuthu Palaniswami, Thomas Penzel and Dinesh Kumar | Multi-stage sleep classification using photoplethysmographic sensor | Royal Society Open Science | 2023 | Journal |
| 5 | Sheik Mohammed Ali, Sridhar Poosapadi Arjunan, James Peters, Laura Perju-Dumbrava, Catherine Ding, Michael Eller, Sanjay Raghav, Peter Kempster, Mohammod Abdul Motin, PJ Radcliffe, Dinesh Kant Kumar | Wearable sensors during drawing tasks to measure the severity of essential tremor | Nature Scientific Reports | 2022 | Journal |
| 6 | Nemuel D. Pah, Mohammod A. Motin & Dinesh K. Kumar | Phonemes based detection of parkinson’s disease for telehealth applications | Nature Scientific Reports | 2022 | Journal |
| 7 | Shadhon Chandra Mohonta, Mohammod Abdul Motin, Dinesh Kant Kumar | Electrocardiogram based arrhythmia classification using wavelet transform with deep learning model | Sensing and Bio-Sensing Research | 2022 | Journal |
| 8 | Ahsan Habib, Mohammod Abdul Motin, Thomas Penzel, Marimuthu Palaniswami, John Yearwood, and Chandan Karmakar | Performance of a Convolutional Neural Network Derived from PPG Signal in Classifying Sleep Stages | IEEE Transactions on Biomedical Engineering | 2022 | Journal |
| 9 | Mohammod Abdul Motin, Nemuel D. Pah, and Dinesh K. Kumar | Detection of Parkinson’s Disease Using Sustained Phonemes Recorded using Smartphones | IEEE Access | 2022 | Journal |
| 10 | Quoc Cuong Ngo, Mohammod Abdul Motin, Nemuel Daniel Pah, Peter Drotár, Peter Kempster, and Dinesh Kumar | Computerized Analysis of Speech and Voice for Parkinson’s Disease: A Systematic Review | Computer Methods and Programs in Biomedicine | 2022 | Journal |
| 11 | Nemuel D. Pah, Mohammod Abdul Motin, and Dinesh K. Kumar | Voice Analysis for Diagnosis and Monitoring Parkinson’s disease, and detecting the effect of Levodopa | Techniques for Assessment of Parkinsonism for Diagnosis and Rehabilitation (Sprinter Nature Publication) | 2022 | Book Chapter |
| 12 | Mohammod Abdul Motin, Mufti Mahmud, David J Brown | Detecting Parkinson’s Disease from Electroencephalogram Signals: An Explainable Machine Learning Approach | IEEE 16th International Conference on Application of Information and Communication Technologies (AICT) | 2022 | Conference |
| 13 | Peters J, Motin MA, Perju-Dumbrava L, Ali SM, Ding C, Eller M, Raghav S, Kumar DK, Kempster PA: | Computerised analysis of writing and drawing by essential tremor phenotype | BMJ Neurology Open | 2021 | Journal |
| 14 | Mate Hires, Matej Gazda, Nemuel Daniel Pah, Mohammod Abdul Motin, Dinesh Kant Kumar, Peter Drotar, | Convolutional Neural Network Ensemble for Parkinson’s Disease Detection from Voice Recordings | Computers in Biology and Medicine | 2021 | Journal |
| 15 | Nemuel D. Pah, Mohammod Abdul Motin, Peter Kempster, Dinesh Kant Kumar | Detecting effect of levodopa in Parkinson’s disease patients using different sustained phonemes | IEEE Journal of Translational Engineering in Health and Medicine | 2021 | Journal |
| 16 | Mohammod Abdul Motin, James Peters, Laura Perju-Dumbrava, Catherine Ding, Michael Eller, Sanjay Raghav, Sheik Mohammed Ali, Peter Kempster, PJ Radcliffe, Dinesh Kant Kumar | Computerized Screening of Essential Tremor and Level of Severity Using Consumer Tablet | IEEE Access | 2021 | Journal |
| 17 | Rajna Ogrin, Mohammod Abdul Motin, Behzad Aliahmad, Kylie Elder, Jacinta Anderson, Dinesh Kumar | Can thermal imaging technique be used to predict the healing status of a venous leg ulcer? | The International Journal of Lower Extremity Wounds | 2021 | Journal |
| 18 | Bo Shi, Mohammod Abdul Motin, Xinpei Wang, Chandan Karmakar, Peng Li | Bivariate Entropy Analysis of Electrocardiographic RR-QT Time Series | Entropy | 2020 | Journal |
| 19 | Hua-Hie Yong, Chandan Karmakar, Mohammod Abdul Motin, Ron Borland, Tara Elton-Marshall, K. Michael Cummings, Geoffrey T. Fong, Mary E Thompson | Identifying factors that conjointly influence nicotine vaping product relative harm perception among smokers and recent ex-smokers: Findings from the 2016 ITC 4 Country Smoking and Vaping Survey | Drug and Alcohol Dependence | 2020 | Journal |
| 20 | Mohammod Abdul Motin, Chandan Karmakar, Marimuthu Palaniswami, Thomas Penzel | PPG based automated sleep-wake classification using support vector machine | Physiological Measurement | 2020 | Journal |
| 21 | Mohammod Abdul Motin, Chandan Karmakar, Dinesh Kumar, Marimuthu Palaniswami | PPG Derived Respiratory Rate Estimation in Daily living Conditions | 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020 | 2020 | Conference |
| 22 | S Bhowmik, MA Motin, M Sarossy, PJ Radcliffe, D Kumar | Sample entropy analysis of pupillary signals in glaucoma patients and control via light-induced pupillometry | 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020 | 2020 | Conference |
| 23 | Lydia Brown, Chandan Karmakar, Maria Flynn, Mohammod Abdul Motin, Marimuthu Palaniswami, Christopher M. Celano, Jeff Huffman, and Christina Bryant | A Self-Compassion Group Intervention for Patients Living With Chronic Medical Illness: Treatment Development and Feasibility Study | The primary care companion for CNS disorders | 2019 | Journal |
| 24 | Mohammod Abdul Motin, Chandan Karmakar, Marimuthu Palaniswami | Selection of Empirical Mode Decomposition Techniques for Extracting Respiratory Rate from PPG | IEEE Signal Processing Letter | 2019 | Journal |
| 25 | Mohammod Abdul Motin, Chandan Karmakar, Marimuthu Palaniswami | PPG Derived Heart Rate Estimation during Intensive Physical Exercise using Recursive Wiener Filtering | IEEE Access | 2019 | Journal |
| 26 | Mohammod Abdul Motin, Chandan Karmakar, Thomas Penzel, Marimuthu Palaniswami | Sleep-Wake Classification using Statistical Features Extracted from Photoplethysmographic Signals | 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019 | 2019 | Conference |
| 27 | 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 | 2018 | Journal |
| 28 | Mohammod Abdul Motin, Chandan Karmakar, Marimuthu Palaniswami | Robust Heart Rate Estimation During Physical Exercise Using Photoplethysmographic Signals | 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018 | 2018 | Conference |
| 29 | Mohammod Abdul Motin, Chandan Karmakar, Marimuthu Palaniswami | Thresholding Technique of MMSPCA for Extracting Respiratory Activity from Short Length PPG Signal. | 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017 | 2017 | Conference |
| 30 | Mohammod Abdul Motin, Chandan Karmakar, Marimuthu Palaniswami | An EEMD-PCA approach to extract heart rate, respiratory rate and respiratory activity from PPG signal. | 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 | 2016 | Conference |
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