Md. Anik Hasan, Mohammod Abdul Motin, Muhammad Sudipto Siam Dip, and G.K.M. Hasanuzzaman: Electroencephalogram Based Driver Drowsiness Detection Using Entropy Features with Light Weight Deep Learning Model, Time-frequency analysis in Biomedical Engineering: Contemporary Methods and Applications, CRC Press (Accepted), 2025.
Muhammad Sudipto Siam Dip, Mohammod Abdul Motin, Md. Anik Hasan, and Sumaiya Kabir: Optimized Feature Selection and Neural Network-Based Classification of Motor Imagery Using EEG Signals: A Time-Frequency Approach, Time-frequency analysis in Biomedical Engineering: Contemporary Methods and Applications, CRC Press (Accepted), 2025.
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, Springer Nature Publication, 2022.
Journals
Mohammod Abdul Motin; Md Santo Ali; Sapnil Sarker Bipro; Meftahul Jannat Nuha; Abid Hasan; Sumaiya Kabir: "A Multi-modal Wearable Dataset for Cognitive Attention and Task-based Stress Analysis”, Data in Brief, 2025 (Accepted).
Muhammad Sudipto Siam Dip, Mohammod Abdul Motin, Chandan Karmakar, Thomas Penzel, Marimuthu Palaniswami:"NeuroSleepNet: An Explainable Multi-Head Attention-Based Framework with Spatial and Multi-Scale Independent Temporal Context Learning for Automatic Sleep Stage Scoring", IEEE Access 2025 (Accepted).
Imran Hossan, Nusratul Jannat Mary, Mohammod Abdul Motin: "TinyHAR-Net: Design and Implementation of a TinyML-Based Human Activity Recognition Framework on STM32", IEEE Embedded Systems Letters, 2025 (Accepted).
Md Santo Ali, Sapnil Sarker Bipro, Mohammod Abdul Motin, Sumaiya Kabir, Manish Sharma, and Muhammad E. H. Chowdhury, "TEANet: A Transpose-Enhanced Autoencoder Network for Stress Monitoring on Resource Constrained Wearable Device", IEEE Access 2025 (Accepted).
Md Santo Ali, Mohammod Abdul Motin, Sumaiya Kabir: "ReTeNet: A Residual Encoder and Transformer Encoders Network for Stress Monitoring from Wearable Device" IEEE Signal Processing Letters, 2025.
Md Mayenul Islam, Mohammod Abdul Motin, Sumaiya Kabir, and Dinesh Kumar "Poincaré Image Analysis of Short-Term Electrocardiogram for Detecting Atrial Fibrillation" IEEE Journal of Biomedical and Health Informatics, 2025.
Imran Hossan, Muhammad Sudipto Siam Dip, and Mohammod Abdul Motin: DeepApneaNet: A Multi-Stage CNN-Bi-LSTM Hybrid Model for Sleep Apnea Detection from Single-Lead ECG Signal, IEEE Sensors Letters, 2025.
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.
Md. Mayenul Islam, Sumaiya Kabir, and Mohammod Abdul Motin: Persistent Atrial Fibrillation Detection Using Short-Term Electrocardiogram, IEEE Sensors Letters, 2024.
MA. Sheik, S.P. Arjunan, J Peters, L Perju-Dumbrava, C Ding, M Eller, S Raghav, P Kempster, M A Motin, PJ Radcliffe, D.K. KumarWearable Sensors for Essential Tremor-combining Accelerometer and Gyroscopic Measurements, IEEE Journal of Translational Engineering in Health and Medicine, 2023.
Md Abdur Raiyan, Mohammod Abdul Motin, Nasif Raihan, Shadhon Chandra Mohonta, and Sumaiya Kabir: HarPerNet: Harmonic Percussive based Deep Neural Network for Synthetic Audio Classification, preprint in arXiv.
Dip, Muhammad Sudipto Siam, Md Anik Hasan, Sapnil Sarker Bipro, Md Abdur Raiyan, and Mohammod Abdul Motin: "RoboVox Far Field Speaker Recognition: A Novel Data Augmentation Approach with Pretrained Models." arXiv preprint arXiv:2409.10240 (2024).
Mohammod Abdul Motin, Chandan Karmakar, Marimuthu Palaniswami, Thomas Penzel, Dinesh Kant Kumar: Multi-Stage Sleep Classification Using Only Photoplethysmographic Sensor, Royal Society Open Science, 2023.
Hua-Hie Yong, Chandan Karmakar, Mohammod Abdul Motin, Ron Borland, K. Michael Cummings, Shannon Gravely, Geoffrey T. Fong "Individual and conjoint factors associated with beliefs about the harmfulness of nicotine replacement therapies relative to combustible cigarettes among people who smoke: Findings from the 2020 ITC Four Country Smoking and Vaping Survey" Nicotine & Tobacco Research, 2023.
Zhu, Yangzhi, Mohammod Abdul Motin, and Qingyu Cui. "Highlights in Diagnostic and Therapeutic Devices." Frontiers in Medical Technology 5: 13, 2023.
Ahsan Habib, Mohammod Abdul Motin, Chandan Karmakar, Thomas Penzel, Marimuthu Palaniswami, and John Yearwood: PPG Based Sleep Staging using Dense Deep Learning Models, IEEE Transactions on Biomedical Engineering, 2022.
Mohammod Abdul Motin, Nemuel D. Pah, and Dinesh K. Kumar: Detection of Parkinson’s Disease Using Sustained Phonemes Recorded using Smartphones, IEEE Access, 2022.
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.
Nemuel D. Pah, Mohammod Abdul Motin, and Dinesh K. Kumar: "Phonemes Based Detection of Parkinson’s Disease for Telehealth Applications", Scientific Reports, 2022.
Shadhon Chandra Mohonta, Mohammod Abdul Motin, Dinesh Kumar, “Electrocardiogram Based Arrhythmia Classification Using Wavelet transform with Deep Learning Model”, Sensing and Bio-Sensing Research, 2022.
MA. Sheik, S.P. Arjunan, J Peters, L Perju-Dumbrava, C Ding, M Eller, S Raghav, P Kempster, M A Motin, PJ Radcliffe, D.K. Kumar: Wearable sensors during drawing tasks to measure the severity of essential tremor, Scientific Reports, 2022.
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.
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.
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.
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.
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.
Mohammod Abdul Motin, Chandan Karmakar, Marimuthu Palaniswami, Thomas Penzel: PPG Based Automatic Sleep-Wake Classification Using Support Vector Machine, Physiological Measurement, 2020.
Bo Shi, Mohammod Abdul Motin, Xinpei Wang, Chandan Karmakar, Peng Li: Bivariate Entropy Analysis of Electrocardiographic RR-QT Time Series, Entropy, 2020.
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.
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.
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.
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, vol 21, no. 5, 2019.
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.
Md. Masud Rana, Abu Sadat Md. Sayem, Mohammod Abdul Motin: Structured Nonorthogonal ADI-FDTD for EM Scattering from Curved Conducting Bodies. AEU - International Journal of Electronics and Communications, 70(12), 2016.
Md. Masud Rana, Mohammod Abdul Motin, Md. Shamim Anower: Indoor propagation modeling for UWB communications using LOD-FDTD method. Journal of Electrical Engineering, 3(3):1-5, 01, 2015.
Mohammod Abdul Motin, Md Forhad Zaman, and M. R. I. Sheikh: Energy efficient modelling of solar wind hybrid power system for a tourist island." International Journal of Advanced Renewable Energy Research 1, no. 1 (2013).
M I Hasan, Mohammod Abdul Motin: New slotting technique of making compact octagonal patch for four band applications, International Journal of Innovation and Applied Studies 3 (1), 221-227, 2013.
Conference/Poster publications
Md Rokonuzzaman Mim, Md Santo Ali, Mohammod Abdul Motin, Mufti Mahmud: A Dual-Branch Convolutional Neural Network with Gated Recurrent Units Network for Enhanced Multimodal Stress Monitoring from Wearable Physiological Signals, 4th MusIML Workshop co-located with NeurIPS 2025, San Diego, USA (Accepted).
Md Santo Ali, Mohammod Abdul Motin, and Mufti Mahmud: StressBVPNet: An Explainable Deep Learning Model for Stress Monitoring from BVP Signals, 24th IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2025), London, United Kingdom (Best Paper Award).
Sapnil Sarker Bipro, Mohammod Abdul Motin, and Mufti Mahmud: ConvResNet: Towards an Explainable Deep Learning Architecture for Mental Stress Detection from ECG Signal, 24th IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2025), London, United Kingdom.
Tanim Ahmmod, Rajat Sarkar, Mohammod Abdul Motin, "GlucoNova: A Hybrid Model for Non-Invasive Blood Glucose Monitoring Using Near-Infrared Photoplethysmography", 28th International Conference on Computer and Information Technology (ICCIT), 2025.
Md Rokonuzzaman Mim, Ashraf Al- Khalique, Mohammod Abdul Motin, "Monitoring Mental Stress Using Multimodal Physiological Signals from Wearable Device", 28th International Conference on Computer and Information Technology (ICCIT), 2025.
Mst. Raisa Rubayet Karim, Md. Farukuzzaman Faruk, Md. Ariful Islam, Tomal Tahsin Ahmmed, Md. Mesbahuddin Hasib, Mohammod Abdul Motin: "HybEEGNet: An Attention-Enhanced CNN-BiLSTM Model for EEG-Based Motor Movement Classification", 28th International Conference on Computer and Information Technology (ICCIT), 2025.
Md Santo Ali, Mohammod Abdul Motin, Md Rokonuzzaman Mim, Sumaiya Kabir, "A Shallow Deep Learning Model for Stress Monitoring from Photoplethysmography Signals", IEEE International Conference on Signal Processing, Information, Communication and Systems (SPICSCON) 2025.
Md. Ali Hasan, Mohammod Abdul Motin: "Automated Classification of Atrial Fibrillation from ECG Signals Using Machine Learning Techniques", IEEE International Conference on Signal Processing, Information, Communication and Systems (SPICSCON) 2025.
Md Rokonuzzaman Mim, Md Santo Ali, Mohammod Abdul Motin, "A Convolutional Neural Network with Bidirectional Gated Recurrent Units Architecture for Enhanced Stress Monitoring from Wearable Signals", IEEE International Conference on Signal Processing, Information, Communication and Systems (SPICSCON) 2025.
Dipti Biswas, Uttam Mahapatra, Mohammod Abdul Motin, and Mufti Mahmud: Dual-ChannelCVT: A Multi-Stage Combination of Convolutional Neural Network and Vision Transformer for Sleep Stage Classification, 24th IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2025), London, United Kingdom.
Md Santo Ali, Mohammod Abdul Motin, El-Sayed El-Alfy, Mufti Mahmud: A Hybrid Convolutional Neural Network-Bidirectional Long Short-Term Memory Approach for PPG-Based Stress Monitoring from Wrist Worn Wearables, 32nd International Conference on Neural Information Processing (ICONIP) 2025, Okinawa, Japan.
Md Santo Ali, Mohammod Abdul Motin, Mufti Mahmud: A Dual Path Hybrid Convolutional Neural Network and Bidirectional Long-Short Term Memory Approach for PPG-Based Stress Monitoring, 4th MusIML Workshop co-located with ICML 2025, Vancouver, Canada.
Basob Paul Brinta, Abdullah Al Fahim, Mohammod Abdul Motin, Sumaiya Kabir, Mufti Mahmud: Electrocardiogram Signal Quality Assessment Using Deep Learning Model, 4th International Conference on Applied Intelligence and Informatics 2024 (AII 2024), London, UK.
Md. Ariful Islam, Md. Farukuzzaman Faruk, Mohammod Abdul Motin, S. M. Mahedy Hasan, and Azmain Yakin Srizon, Md Nazmul Islam: Multichannel EEG-Based Motor Movement Classification using Fusion of 1D-CNN and Attention Mechanism,27th International Conference on Computer and Information Technology (ICCIT 2024).
Shadhon Chandra Mohonta, Kusum Tara, Mohammod Abdul Motin, Abu Sadat Md. Sayem, Md. Shamim Anower and Poonam Sarkar: Assessing Mental Acuity Using Bioelectrical Impedance Spectroscopy Based Biomarkers, 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), 2024, (Best Paper Award in ICEEICT).
Partha Pratim Das Turja, Mohammod Abdul Motin, Sumaiya Kabir, Mufti Mahmud and Dinesh Kumar: Investigation of HR and QT Variability for Monitoring Sleep Apnea: An Interpretable Machine Learning Approach, 3rd International Conference on Applied Intelligence and Informatics 2023 (AII 2023), United Arab Emirates.
Muhammad Sudipto Siam Dip, Md Anik Hasan, Sumaiya Kabir, Mohammod Abdul Motin: Deep Learning Based Motor Imagery Intention Classification Using Electroencephalogram Signal, 9th IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering 2023 (IEEE WIECON-ECE 2023), Kerala, INDIA .
Md Mayenul Islam and Mohammod Abdul Motin: An Automated Approach for Atrial Fibrillation Detection Using Electrocardiogram, 26th International Conference on Computer and Information Technology (ICCIT) 13-15 December, 2023, Cox’s Bazar, Bangladesh.
Md. Shahin Kadir Sakib, Md Mayenul Islam and Mohammod Abdul Motin: The Investigation of Heart Rate Variability for Paroxysmal Atrial Fibrillation Detection, 26th International Conference on Computer and Information Technology (ICCIT) 13-15 December, 2023, Cox’s Bazar, Bangladesh.
Nemuel Daniel Pah, Veronica Indrawati, Dinesh K. Kumar and Mohammod Abdul Motin “Analyzing the Probability Density Distribution of Sustained Phoneme Voice Features in the PC-GITA Dataset for Parkinson’s Disease Identification”, 4th Biannual International Conference on Informatics, Technology, and Engineering (InCITE), Indonesia, 2023.
Md Mayenul Islam, and Mohammod Abdul Motin, “Detection of Persistent Atrial Fibrillation Using ECG Signal” 50th Computing in Cardiology conference in Atlanta, Georgia, USA, 2023.
Sapnil Sarker Bipro, Sumaiya Kabir and Mohammod Abdul Motin, “Monitoring Stress Using Electrocardiogram Signal” 50th Computing in Cardiology conference in Atlanta, Georgia, USA, 2023.
Mohammod A. Motin, Nemuel D. Pah, and Dinesh K. Kumar, “Monitoring the Effect of Levodopa Using Sustained Phonemes in Parkinson’s Disease Patients” 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Sydney, Australia, 2023.
Nemuel D. Pah, Mohammod A. Motin, and Dinesh K. Kumar, “The Change of Vocal Track Length in People with Parkinson’s Disease” 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Sydney, Australia, 2023.
Mohammod Abdul Motin, Mufti Mahmud, David J Brown: Detecting Parkinson's Disease from Electroencephalogram Signals: An Explainable Machine Learning Approach, 16th IEEE International Conference on Application of Information and Communication Technologies (AICT2022), Washington DC, USA, 2022.
Mohammod Abdul Motin, Partha Pratim Das, Chandan Karmakar, Marimuthu Palaniswami: Compact Pulse Oximeter Designed for Blood Oxygen Saturation and Heart Rate Monitoring, 3rd International Conference on Electrical & Electronic Engineering, ICEEE, 2021 (Best Paper Award in ICEEE).
Mohammod Abdul Motin, Chandan Karmakar, Dinesh Kumar, Marimuthu Palaniswami: PPG Derived Respiratory Rate Estimation in Daily living Conditions. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Montreal, QC, Canada, 2020.
Susmit Bhowmik, Mohammod Abdul Motin, Marc Sarossy, Peter John Radcliffe and Dinesh Kumar: Sample entropy analysis of pupillary signals in glaucoma patients and control via light-induced pupillometry. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Montreal, QC, Canada, 2020.
Mohammod Abdul Motin, Chandan Karmakar, Thomas Penzel, Marimuthu Palaniswami: Sleep-Wake Classification using Statistical Features Extracted from Photoplethysmographic Signals. 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019.
Mohammod Abdul Motin, Chandan Karmakar, Marimuthu Palaniswami: Robust Heart Rate Estimation During Physical Exercise Using Photoplethysmographic Signals. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Hawaii, USA, 2018.
Mohammod Abdul Motin, Chandan Kumar Karmakar, Marimuthu Palaniswami: Modified Thresholding Technique of MMSPCA for Extracting Respiratory Activity from Short Length PPG Signal. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jeju, Korea, 2017.
Mohammod Abdul Motin, Chandan Kumar Karmakar, Marimuthu Palaniswami: An EEMD-PCA approach to extract heart rate, respiratory rate and respiratory activity from PPG signal. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Florida, USA, 2016.
Md. Masud Rana, Mohammod Abdul Motin: EM scattering from conducting bodies using non-orthogonal locally-one-dimensional FDTD. Electrical Engineering and Information & Communication Technology (ICEEICT), 2014 International Conference on, Dhaka; 04/2014, DOI:10.1109/ICEEICT.2014.6919103.
Md. Masud Rana, M.S. Anwar, Mohammod Abdul Motin: Segmentation technique with ADI-FDTD for EM propagation modeling in electrically large structure. Electrical Engineering and Information & Communication Technology (ICEEICT), 2014 International Conference on, Dhaka; 04/2014, DOI:10.1109/ICEEICT.2014.6919159.
M.S. Anower, Mohammod Abdul Motin, A.S.M. Sayem, S.A.H. Chowdhury: A node estimation technique in underwater wireless sensor network. Informatics, Electronics & Vision (ICIEV), 2013 International Conference on; 05/2013, DOI:10.1109/ICIEV.2013.6572582.
Mohammod Abdul Motin, Md. Imran Hasan, Md. Samiul Habib, M.R.I. Sheikh: Design of a modified rectangular patch antenna for quad band application. Informatics, Electronics & Vision (ICIEV), 2013 International Conference on; 05/2013, DOI:10.1109/ICIEV.2013.6572671.
Mohammod Abdul Motin, Md. Imran Hasan, Md. Asaduz-Zaman: Design and optimization of a low cost multi band microstrip patch antenna for K-band, Ku-band and X-band applications. Computer and Information Technology (ICCIT), 2012 15th International Conference on; 12/2012, DOI:10.1109/ICCITechn.2012.6509750.