Mr Md Atiqur Rahman Ahad


NameMr Md Atiqur Rahman Ahad
ORCIDhttps://orcid.org/0000-0001-8355-7004
Job titleAssociate Professor of Artificial Intelligence and Machine Learning
Email addressm.ahad@uel.ac.uk
Research instituteArchitecture, Computing & Engineering

Research outputs

A CSI-based Human Activity Recognition using Canny Edge Detector

Shahverdi, H., Moshiri, P. F., Nabati, M., Asvadi, R. and Ghorashi, S. 2024. A CSI-based Human Activity Recognition using Canny Edge Detector. in: Ahad, M., Inoue, S., Lopez, G. and Hossain, T. (ed.) Human Activity and Behavior Analysis: Advances in Computer Vision and Sensors: Volume 2 CRC Press: Taylor & Francis Group. pp. 67-82

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.2023.107185

Computer 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/IJCB54206.2022.10007993

Annotator-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.2022.109197

A 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_13

Can 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_10

Identification 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_11

Lunch-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_12

Bento 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_13

Sensor- 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-w

Emotion 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.2021.3091487

Vision, 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.9.33

Static 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.2021.04.001

Contactless 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. 335-364

Contactless 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. 237-269

Contactless 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. 203-235

Signal 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. 113-144

Skeleton-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. 48-81

Contactless 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.2021.02.013

Activity 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_73

Exploring 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. 169–185

Activity 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.2020.3027534

Signal 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/s20143811
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