Profile

Dr. Mohammod Abdul Motin

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.

Field of Research
  •  Biomedical Signal Processing
  •  Machine Learning in Healthcare
  •  Statistical Signal Processing and Machine Learning
  •  Non-linear Signal Decomposition
  •  Wearable Devices for Healthcare Monitoring
Google Scholar Research Gate
  •  First Joined: 28th Feb, 2012
  •      Dept. of Electrical & Electronic Engineering

Position

Education

Book / Book Chapter
1
Journal Articles
22
Conference Papers
7
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
  •  Senior Member- IEEE, USA, 2022
  •  IEEE Upsilon Pi Epsilon Award-2019
  •  IEEE Lance Stafford Larson Award
  •  Honorable Mention-2018 Upsilon Pi Epsilon Honor Society
  •  W. E. and C. H. H. Cook Memorial Award Awarded 2018
  •  IEEE R10 SAC PAPER CONTEST PG Level 2018 (3rd Place)
  •  IEEE Australia Council Post Graduate Student Paper Competition (2nd Place)
  •  Student of the Year (4th Year), EEE, RUET
  •  Student of the Year (3rd Year), EEE, RUET
  •  IEEE Richard E. Merwin Scholarship
  •  Melbourne Abroad Travelling Scholarship (MATS)
  •  ISSNIP Travelling Scholarship
  •  ANZSCON 2017 Travel Grant, IEEE Student Branch, The University of Melbourne, Australia.
  •  Melbourne Abroad Travelling Scholarship (MATS)
  •  MIRS Scholarship, The University of Melbourne, Australia
  •  MIFRS Scholarship, The University of Melbourne, Australia
  •  RUET Postgraduate Scholarship (M. Sc. Engineering)
  •  Government Scholarship, Ministry of Education, BISE, Bangladesh
  •  April 2022-May 2022: Visiting Research Fellow, RMIT University
  •  Review Editor-Diagnostic and Therapeutic Devices, Frontiers in Medical Technology
  •  Review Editor-Cardiovascular Endocrinology, Frontiers in Endocrinology
  •  Session Chair/Co-Chair (Bio-Engineering Track)-IEEE ICREST 2021, Dhaka, Bangladesh
  •  Session Chair/Co-Chair (Bio-Engineering Track)-IEEE EMBC 2019, Berlin, Germany
Phd Students
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Masters Students
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Undergraduate Students
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Activity Description