Mr Md Atiqur Rahman Ahad
Name | Mr Md Atiqur Rahman Ahad |
---|---|
ORCID | https://orcid.org/0000-0001-8355-7004 |
Job title | Associate Professor of Artificial Intelligence and Machine Learning |
Email address | m.ahad@uel.ac.uk |
Research institute | Architecture, Computing & Engineering |
Research outputs
Learn Programming with C: An Easy Step-by-Step Self-Practice Book for Learning C
Imran, S. M. S. and Ahad, M. A. R. 2024. Learn Programming with C: An Easy Step-by-Step Self-Practice Book for Learning C. CRC Press: Taylor & Francis Group.Deep learning with image-based autism spectrum disorder analysis: A systematic review
Uddin, M. Z., Shahriar, M. A., Mahamood, M. N., Alnajjar, F., Pramanik, M. I. and Ahad, M. A. R. 2024. Deep learning with image-based autism spectrum disorder analysis: A systematic review. Engineering Applications of Artificial Intelligence. 127 (Art. 107185). https://doi.org/doi.org/10.1016/j.engappai.2023.107185Computer Vision and Image Analysis for Industry 4.0
Siddique, N., Arefin, M. S., Ahad, M. A. R. and Dewan, M. A. A. (ed.) 2023. Computer Vision and Image Analysis for Industry 4.0. NY CRC Press: Taylor & Francis Group.HID 2022: The 3rd International Competition on Human Identification at a Distance
Yu, S., Huang, Y., Wang, L., Makihara, Y., Wang, S., Ahad, M. and Nixon, M. 2022. HID 2022: The 3rd International Competition on Human Identification at a Distance. IJCB 2022: IEEE International Joint Conference on Biometrics. Abu Dhabi, UAE 10 - 13 Dec 2023 IEEE. https://doi.org/10.1109/IJCB54206.2022.10007993Annotator-dependent uncertainty-aware estimation of gait relative attributes
Shehata, A., Makihara, Y., Muramatsu, D., Ahad, M. and Yasushi, Y. 2023. Annotator-dependent uncertainty-aware estimation of gait relative attributes. Pattern Recognition. 136 (Art. 109197). https://doi.org/10.1016/j.patcog.2022.109197A Sleep Monitoring System Using Ultrasonic Sensors
Shammi, U. A. and Ahad, M. 2022. A Sleep Monitoring System Using Ultrasonic Sensors. International Journal of Biomedical Soft Computing and Human Sciences. 27 (1), pp. 13-20. https://doi.org/10.24466/ijbschs.27.1_13Can Ensemble of Classifiers Provide Better Recognition Results in Packaging Activity?
Nazmus Sakib, A. H. M., Basak, P., Doha Uddin, S., Mustavi Tasin, S. and Ahad, M. 2022. Can Ensemble of Classifiers Provide Better Recognition Results in Packaging Activity? 3rd International Conference on Activity and Behavior Computing (ABC 2021). Online 22 - 23 Oct 2021 Springer Singapore. https://doi.org/10.1007/978-981-19-0361-8_10Identification of Food Packaging Activity Using MoCap Sensor Data
Anwar, A., Islam Tapotee, M., Saha, P. and Ahad, M. 2022. Identification of Food Packaging Activity Using MoCap Sensor Data. 3rd International Conference on Activity and Behavior Computing (ABC 2021). Online 22 - 23 Oct 2021 Springer Singapore. https://doi.org/10.1007/978-981-19-0361-8_11Lunch-Box Preparation Activity Understanding from Motion Capture Data Using Handcrafted Features
Pritom, Y. A., Rahman, M. S., Rahman, H. R., Kowshik, M. A. and Ahad, M. 2022. Lunch-Box Preparation Activity Understanding from Motion Capture Data Using Handcrafted Features. 3rd International Conference on Activity and Behavior Computing (ABC 2021). Online 22 - 23 Oct 2021 Springer Singapore. https://doi.org/10.1007/978-981-19-0361-8_12Bento Packaging Activity Recognition Based on Statistical Features
Rakib Sayem, F., Sheikh, M. M. and Ahad, M. 2022. Bento Packaging Activity Recognition Based on Statistical Features. 3rd International Conference on Activity and Behavior Computing (ABC 2021). Online 22 - 23 Oct 2021 Springer Singapore. https://doi.org/10.1007/978-981-19-0361-8_13Sensor- and Video-Based Activity and Behavior Computing: Proceedings of 3rd International Conference on Activity and Behavior Computing (ABC 2021)
Ahad, M., Inoue, S., Roggen, D. and Fujinami, K. (ed.) 2022. Sensor- and Video-Based Activity and Behavior Computing: Proceedings of 3rd International Conference on Activity and Behavior Computing (ABC 2021). Springer Singapore.Proceedings of the International Conference on Big Data, IoT, and Machine Learning: BIM 2021
Arefin, M. S., Kaiser, M. S., Bandyopadhyay, A., Ahad, M. and Ray, K. (ed.) 2022. Proceedings of the International Conference on Big Data, IoT, and Machine Learning: BIM 2021. Springer Singapore.Automated detection approaches to autism spectrum disorder based on human activity analysis: A review
Rahman, S., Ahmed, S. F., Shahid, O., Arrafi, M. A. and Ahad, M. A. R. 2022. Automated detection approaches to autism spectrum disorder based on human activity analysis: A review. Cognitive Computation. 14, pp. 1773-1800. https://doi.org/10.1007/s12559-021-09895-wEmotion Recognition from EEG Signal Focusing on Deep Learning and Shallow Learning Techniques
Islam, M. R., Moni, M. A., Islam, M. M., Rashed-Al-Mahfuz, M., Islam, M. S., Hasan, M. K., Hossain, M. S., Ahmad, M., Uddin, S., Azad, A., Alyami, S. A., Ahad, M. A. R. and Lió, P. 2021. Emotion Recognition from EEG Signal Focusing on Deep Learning and Shallow Learning Techniques. IEEE Access. 9, pp. 94601-94624. https://doi.org/10.1109/ACCESS.2021.3091487Vision, Sensing and Analytics: Integrative Approaches
Ahad, M. and Inoue, A. (ed.) 2021. Vision, Sensing and Analytics: Integrative Approaches. Springer.MUMAP: Modified Ultralightweight Mutual Authentication protocol for RFID enabled IoT networks
Raju, M. H., Ahmed, M. U. and Ahad, M. A. R. 2021. MUMAP: Modified Ultralightweight Mutual Authentication protocol for RFID enabled IoT networks. Journal of the Institute of Industrial Applications Engineers. 9 (2), pp. 33-39. https://doi.org/10.12792/JIIAE.9.33Static Postural Transition-based Technique and Efficient Feature Extraction for Sensor-based Activity Recognition
Ahmed, M., Das Antar, A. and Ahad, M. 2021. Static Postural Transition-based Technique and Efficient Feature Extraction for Sensor-based Activity Recognition. Pattern Recognition Letters. 147, pp. 25-33. https://doi.org/10.1016/j.patrec.2021.04.001Contactless Human Monitoring: Challenges and Future Direction
Mahbub, U., Rahman, T. and Ahad, M. 2021. Contactless Human Monitoring: Challenges and Future Direction. in: Ahad, M., Mahbub, U. and Ahad, M. (ed.) Contactless Human Activity Analysis Springer, Cham. pp. 335-364Contactless Human Emotion Analysis Across Different Modalities
Nahid, N., Rahman, A. and Ahad, M. 2021. Contactless Human Emotion Analysis Across Different Modalities. in: Ahad, M., Mahbub, U. and Rahman, T. (ed.) Contactless Human Activity Analysis Springer, Cham. pp. 237-269Contactless Fall Detection for the Elderly
Nahian, M. J. A., Raju, M. H., Tasnim, Z., Mahmud, M., Ahad, M. and Kaiser, M. S. 2021. Contactless Fall Detection for the Elderly. in: Ahad, M., Mahbub, U. and Rahman, T. (ed.) Contactless Human Activity Analysis Springer, Cham. pp. 203-235Signal Processing for Contactless Monitoring
Billah, M. S., Ahad, M. and Mahbub, U. 2021. Signal Processing for Contactless Monitoring. in: Ahad, M., Mahbub, U. and Rahman, T. (ed.) Contactless Human Activity Analysis Springer, Cham. pp. 113-144Skeleton-Based Activity Recognition: Preprocessing and Approaches
Sarker, S., Rahman, S., Hossain, T., Faiza Ahmed, S., Jamal, L. and Ahad, M. 2021. Skeleton-Based Activity Recognition: Preprocessing and Approaches. in: Ahad, M., Mahbub, U. and Rahman, T. (ed.) Contactless Human Activity Analysis Springer, Cham. pp. 48-81Contactless Human Activity Analysis
Ahad, M., Mahbub, U. and Rahman, Y. (ed.) 2021. Contactless Human Activity Analysis. Springer, Cham.Action recognition using Kinematics Posture Feature on 3D skeleton joint locations
Ahad, M. A. R., Ahmed, M., Antar, A. D., Makihara, Y. and Yagi. Y. 2021. Action recognition using Kinematics Posture Feature on 3D skeleton joint locations. Pattern Recognition Letters. 145, pp. 216-224. https://doi.org/10.1016/j.patrec.2021.02.013Activity Recognition from Accelerometer Data Based on Supervised Learning for Wireless Sensor Network
Israt, F. A., Hossain, T., Inoue, S. and Ahad, M. A. R. 2021. Activity Recognition from Accelerometer Data Based on Supervised Learning for Wireless Sensor Network. International Journal of Biomedical Soft Computing and Human Sciences. 26 (2), pp. 73-86. https://doi.org/10.24466/ijbschs.26.2_73Exploring Human Activities Using eSense Earable Device
Islam, M. S., Hossain, T., Ahad, M. and Inoue, S. 2021. Exploring Human Activities Using eSense Earable Device. in: Ahad, M., Inoue, S., Roggen, D. and Fujinami, K. (ed.) Activity and Behavior Computing Springer Singapore. pp. 169–185Activity and Behavior Computing
Ahad, M., Inoue, S., Roggen, D. and Fujinami, K. (ed.) 2021. Activity and Behavior Computing. Springer Singapore.An AI-based Visual Aid with Integrated Reading Assistant for the Completely Blind
Khan, M. A., Paul, P., Rashid, M., Hossain, M. and Ahad, M. 2020. An AI-based Visual Aid with Integrated Reading Assistant for the Completely Blind. IEEE Transactions on Human-Machine Systems. 50 (6), pp. 507-517. https://doi.org/10.1109/THMS.2020.3027534Signal Processing Techniques for Computational Health Informatics
Ahad, M. and Ahmend, M. U. (ed.) 2021. Signal Processing Techniques for Computational Health Informatics. Springer, Cham.IoT Sensor-Based Activity Recognition: Human Activity Recognition
Ahad, M., Antar, A. D. and Ahmed, M. 2021. IoT Sensor-Based Activity Recognition: Human Activity Recognition. Springer, Cham.A Method for Sensor-Based Activity Recognition in Missing Data Scenario
Hossain, T., Ahad, M. A. R. and Inoue, S. 2020. A Method for Sensor-Based Activity Recognition in Missing Data Scenario. Sensors. 20 (14), pp. 1-23. https://doi.org/10.3390/s201438111184
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