The goal is to design an edge-computing framework that fuses passive infrared (PIR) and 3D accelerometer (ACC) signals to accurately classify epileptic seizures, normal movement, and no movement states, ensuring fast, scalable, and non-intrusive detection.  

Techniques: Hidden Markov Model (HMM), Hybrid Deep Learning (OptiNet-SVM), Discrete Wavelet & Fourier Transforms, Non-negative Spectrum Factorization (NNSF) 

Supervisors: Dr. Gahangir Hossain, and Dr. M. Mofazzal Hossain

The goal of this project is to develop an edge-powered artificial intelligence framework capable of rapidly analyzing cardiac MRI data to detect and classify various forms of cardiovascular disease with high accuracy. The proposed system aims to deliver real-time, scalable, and resource-efficient screening, enabling timely diagnosis even in low-infrastructure or remote clinical environments.

Supervisors: Dr. Gahangir Hossain, Dr. M. Mofazzal Hossain, and Dr. Feroz Ahmed.

1. Mohammad Sakib, Gahangir hossain, Tachiya Mahamud Nahadi, Ahmed Al Hasan, Mahdee Nafis, Md Yusuf Hossain, N.M Chisty, Md. Mutahir Mahmud, A. O. M. Shamsuddoha, and M. Mofazzal Hossain. ”SleepingEdge: Real-Time Sleep-Stage–Driven Epileptic Seizure Detection Using HMM and Hybrid OptiNet-SVM”.IEEE Access (2026), doi: https://doi.org/10.1109/ACCESS.2026.3682946. 

2. M. Sakib, N. Ahmed, A. M. Mithu, M. Islam, T. M. Nahadi, N. M. Chisty, R. Rabeya, M. M. Hossain, and F. Ahmed, “CHIC-Pain: Integrating wearable sensors and direct observation to identify sickness and pain behavior in broiler chickens,” IEEE Access, 2025, Doi: 10.1109/ACCESS.2025.3623176.

3. Sakib, M., Khanom, S., Nahadi, T.M. et al. TremorFusion: AI-driven feature extraction for multi-class Parkinson’s tremor classification using CSVM and DeepK-CNN. Biomed. Eng. Lett. (2025). https://doi.org/10.1007/s13534-025-00526-z

4. M. Monzu Uddin, Mohammad Sakib, S. Akter, and M. Humayun Kabir, "BioPest: Predator-Prey Modeling and Deep Learning for Enhanced Biological Pest Detection" Engineering Reports (2025).

1. Mohammad Sakib, Tohura Nur, and M. Mofazzal Hossain ”A Novel CNN Architecture for Alzheimer’s Disease Classification Using MRI Images: Comparison with Traditional Machine Learning Models”, 2024 IEEE International Conference on Signal Processing, Information, Communication and Systems, IEEE. doi: https://doi.org/10.1109/SPICSCON64195.2024.10941475

2. Mohammad Sakib, Sadikul Hasan Mridha Atul, Maisha Islam, Omar Faruq Khan, Md Isthiakul Hasan, and Feroz Ahmed. ”Comparative Analysis of ML and DL Models for Discriminating Autistic vs Non-Autistic Spectrum Disorder Using Facial Images.” In 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS), pp. 1-6. IEEE, 2024. doi: https://doi.org/10.1109 COMPAS60761.2024.10796221.

3. Mohammad Sakib, Md Asadullah, Sharif Mohd Shams, Md Delowar Hossain, Md Monzu Uddin, and M. Mofazzal Hossain. ”Eczema and Seborrheic Keratoses: A Novel Method for Skin Disease Classification Using Image-Based Analysis.” In 2024 21st International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), pp. 1-6. IEEE, 2024. doi: https://doi.org/10.1109/CCE62852.2024.10771065.

4. Khanom, Shoma, Mohammad Sakib, N. M. Chisty, Munira Akter Mimi, Md Ahad, and Feroz Ahmed. ”Detection of Leg Tremors in Parkinson’s Disease Patients: An Experimental Wearable Leg Band Solution.” In 2024 21st International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), pp. 1-6. IEEE, 2024. doi: https://doi.org/10.1109/CCE62852.2024.10770998

5. Khanom, Shoma, Mohammad Sakib, N. M. Chisty, and M. Mofazzal Hossain. ”Classifying Daily Life Smoking Events: An Innovative Wearable Hand-Band Solution.” In 2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS), pp. 1-6. IEEE, 2024. doi: 10.1109/iCACCESS61735.2024.10499527.

6. Mohammad Sakib, Sk.S Alom, S. H. M. Atul, F. H. Supto, and M. Mofazzal Hossain ”Automated Detection of Broiler Chicken Behaviors through the Integration of 3D Accelerometer Sensor and Machine Learning Techniques.” AIP Conf. Proc. 3245, 020001 (2024) https://doi.org/10.1063/5.0231888. 

7. Mohammad Sakib, Sadikul Hasan Mridha Atul, Tania Sarkar, Hanif Mia, ASM Daiyan Haider Nafiu, and Md Shahjalal. ”Monitoring Toxic Gases in Dhaka Brick Kiln Areas & Comparing CNN vs. ResNeT for Brick Kiln Identification Via Satellite Imagery in Bangladesh.” In 2024 21st International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), pp. 1-6. IEEE, 2024. doi: https://doi.org/10.1109/CCE62852.2024.10770920

8. Mohammad Sakib, Hanif Mia, Mukta Akter, Jannatul Farduse, Sharmin Akter, and Md Shahjalal. ”Rainfall Prediction and Real-Time Weather Monitoring in Bangladesh: A Comparative Analysis of Machine Learning Algorithms.” In 2024 21st International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), pp. 1-6. IEEE, 2024. doi: https://doi.org/10.1109/CCE62852.2024.10771063

9. Sadikul Hasan Mridha Atul, Mohammad Sakib, Md. Isthiakul Hasan, Md. Saiful Islam, Omar Faruq Khan, and Abdur Rahim.” Potato Leaf Disease Detection System Using the Convolutional Neural Network (ResNet)”, ICEI24 (2024 IEEE Conference on Engineering Informatics) doi: 10.1109 ICEI64305.2024.10912342.

10. Mohammad Sakib, Tania Sarkar, Shanto Das, Mubashira Jannat, Shanta Akter, and Md. Shahjalal ”Real-Time IoT-Based Toxic Gas Monitoring and Comparative Analysis of Machine Learning Techniques for Air Quality Index Prediction in Dhaka”, International Conference on Innovations in Science, Engineering and Technology 2024, IEEE, ICISET 2024. doi: https://doi.org/10.1109/ICISET62123.2024.10939534

11. Mohammad Sakib, Syeda Shanaz Pervez, ”Automated Stress Level Detection for Hospital Nurses: A Single Triaxial Wearable Accelerometer Sensor System Approach”, 2023 20th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), Mexico City, Mexico, IEEE, 2023, pp. 1-6, doi:10.1109/CCE60043.2023.10332832.

12. Mohammad Sakib, Syeda Shanaz Pervez, and M. Mofazzal Hossain. ”Quantifying Stress Levels in Night-Shift Bus Drivers: An Integrative Approach Utilizing Wearable Sensor Technology and Qualitative Evaluation.” In 2023 IEEE Engineering Informatics, pp. 1-10. IEEE, 2023. doi:10.1109/IEEECONF58110.2023.10520574.

13. Mohammad Sakib, Syeda Shanaz Pervez, and A. B. M. S. U. Doulah. ”Towards smart helmet for motorcyclists: automatic stress level detection using wearable accelerometer sensor system.” In 2023 International Conference on Communication, Circuits, and Systems (IC3S), pp. 1-6. IEEE, 2023. doi: 10.1109/IC3S57698.2023.10169664.

14. Mohammad Sakib, Sk Shah Alam, and M. Mofazzal Hossain. "Detection of Broiler Behaviors Through a Wearable Sensor System and Machine Learning Methods." In 2023 IEEE Engineering Informatics, pp. 1-6. IEEE, 2023.