Mr Md Atiqur Rahman Ahad
| Name | Mr Md Atiqur Rahman Ahad |
|---|---|
| ORCID | https://orcid.org/0000-0001-8355-7004 |
| Job title | Professor |
| Email address | m.ahad@uel.ac.uk |
| Research institute | Architecture, Computing & Engineering |
Research outputs
Automated Autism Assessment With Multimodal Data and Ensemble Learning: A Scalable and Consistent Robot-Enhanced Therapy Framework
Hassan, I., Nahid, N., Islam, M., Hossain, S., Schuller, B. and Ahad, M. 2025. Automated Autism Assessment With Multimodal Data and Ensemble Learning: A Scalable and Consistent Robot-Enhanced Therapy Framework. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33, pp. 1191-1201. https://doi.org/10.1109/TNSRE.2025.3546519Predictive Modeling for Heatstroke Risk Forecasting Integrating Physiological Features Using Ensemble Classifier
Sheikh, M. M., Hossain, S. and Ahad, M. A. R. 2025. Predictive Modeling for Heatstroke Risk Forecasting Integrating Physiological Features Using Ensemble Classifier. in: Inoue, S., Lopez, G., Hossain, T. and Ahad, M. A. R. (ed.) Activity, Behavior, and Healthcare Computing CRC Press.A stacked CNN and random forest ensemble architecture for complex nursing activity recognition and nurse identification
Rahman, A., Nahid, N., Schuller, S. and Ahad, M. 2024. A stacked CNN and random forest ensemble architecture for complex nursing activity recognition and nurse identification. Scientific Reports. 14 (Art. 31667). https://doi.org/10.1038/s41598-024-81228-xHorizontal and Vertical Part-Wise Feature Extraction for Cross-View Gait Recognition
Uddin, M. Z., Hasan, K., Ahad, M. and Alnajjar, F. 2024. Horizontal and Vertical Part-Wise Feature Extraction for Cross-View Gait Recognition. IEEE Access. 12, pp. 185511-185527. https://doi.org/10.1109/ACCESS.2024.3513541Multi-Biometric Feature Extraction from Multiple Pose Estimation Algorithms for Cross-View Gait Recognition
Ray, A., Uddin, Z., Hasan, K., Melody, Z. R., Sarker, P. K. and Ahad, M. 2024. Multi-Biometric Feature Extraction from Multiple Pose Estimation Algorithms for Cross-View Gait Recognition. Sensors. 24 (23), p. Art. 7669. https://doi.org/10.3390/s24237669Human Identification at a Distance: Challenges, Methods and Results on the Competition HID 2024
Yu, S., Wu, W., Hu, J., Wang, Z., Wang, J., Zhang, M., Wang, R., Ni, Y., Huang, Y., Wang, L. and Ahad, M. A. R. 2024. Human Identification at a Distance: Challenges, Methods and Results on the Competition HID 2024. 2024 IEEE International Joint Conference on Biometrics (IJCB 2024). Buffalo, USA 15 - 18 Sep 2024 IEEE. https://doi.org/10.1109/IJCB62174.2024.10744507Improving Gait Recognition Through Occlusion Detection and Silhouette Sequence Reconstruction
Hasan, K., Uddin, Z., Ray, A., Hasan, M., Alnajjar, F. and Ahad, M. 2024. Improving Gait Recognition Through Occlusion Detection and Silhouette Sequence Reconstruction. IEEE Access. 12, pp. 158597-158610. https://doi.org/10.1109/ACCESS.2024.3482430Enhancing Nursing Activity Recognition During Endotracheal Suctioning Through Video-based Pose Estimation and Machine Learning
Islam, S., Hossain, S. M. H., Uddin, M. Z., Hossain, S. and Ahad, M. 2024. Enhancing Nursing Activity Recognition During Endotracheal Suctioning Through Video-based Pose Estimation and Machine Learning. International Journal of Activity and Behavior Computing. 2024 (3), pp. 1-15. https://doi.org/10.60401/ijabc.36Optimizing Endotracheal Suctioning Classification: Leveraging Prompt Engineering in Machine Learning for Feature Selection
Islam, M. R., Ferodous, A. M., Hossain, S., Alnajjar, F. and Ahad, M. 2024. Optimizing Endotracheal Suctioning Classification: Leveraging Prompt Engineering in Machine Learning for Feature Selection. ABC 2024: 6th International Conference on Activity and Behavior Computing. Kyushu, Japan 28 - 31 May 2024 IEEE. https://doi.org/10.1109/ABC61795.2024.10652117Generative AI for Recognizing Nurse Training Activities in Skeleton-Based Video Data
Mamun, M., Hossain, S., Islam, M. B. and Ahad, M. A. R. 2024. Generative AI for Recognizing Nurse Training Activities in Skeleton-Based Video Data. International Journal of Activity and Behavior Computing. 2024 (3), pp. 1-20. https://doi.org/10.60401/ijabc.34Bacterial Behaviour Analysis Through Image Segmentation Using Deep Learning Approaches
Rahman, A., Rahman, M. and Ahad, M. 2024. Bacterial Behaviour Analysis Through Image Segmentation Using Deep Learning Approaches. AIiH 2024: 1st International Conference on Artificial Intelligence in Healthcare. Swansea, UK 04 - 06 Sep 2024 Springer. https://doi.org/10.1007/978-3-031-67285-9_13Computer Vision: Challenges, Trends and Opportunities
Ahad, M., Mahbub, U., Turk, M. and Hartley, R. (ed.) 2024. Computer Vision: Challenges, Trends and Opportunities. New York, USA CRC Press.Stereoscopic Video Deblurring Transformer
Imani, H., Islam, M. B., Junayed, M, S. and Ahad, M. A R. 2024. Stereoscopic Video Deblurring Transformer. Scientific Reports. 14 (Art. 14342). https://doi.org/10.1038/s41598-024-63860-9Integrating Human Behavioral Model for Intimate-distance Human Robot Collaboration
Nahid, N., Hassan, I., Min, X., Ryoke, N., Ahad, M. and Inoue, S. 2024. Integrating Human Behavioral Model for Intimate-distance Human Robot Collaboration. International Journal of Activity and Behavior Computing. (2), pp. 1-26. https://doi.org/10.60401/ijabc.27Elderly Motion Analysis to Estimate Emotion: A Systematic Review
Hassan, I., Nahid, N., Ahad, M. and Inoue, S. 2024. Elderly Motion Analysis to Estimate Emotion: A Systematic Review. International Journal of Activity and Behavior Computing. (2), pp. 1-23. https://doi.org/10.60401/ijabc.23Nurse Activity Recognition based on Temporal Frequency Features
Rahman, M. S., Rahman, H. R., Zarif, A., Pritom, Y. A. and Ahad, M. A. R. 2024. Nurse Activity Recognition based on Temporal Frequency Features. in: Ahad, M. A. R., Inoue, S., Lopez, G. and Hossain, T. (ed.) Human Activity and Behavior Analysis: Advances in Computer Vision and Sensors, Vol. 1 CRC Press: Taylor & Francis Group. pp. 311-322A Sequential-based Analytical Approach for Nurse Care Activity Forecasting
Sheikh, M. M., Hossain, S. and Ahad, M. A. R. 2024. A Sequential-based Analytical Approach for Nurse Care Activity Forecasting. in: Ahad, M. A. R., Inoue, S., Lopez, G. and Hossain, T. (ed.) Human Activity and Behavior Analysis Advances in Computer Vision and Sensors: Volume 1 CRC Press: Taylor & Francis Group. pp. 349-368Psychological Analysis in Human-Robot Collaboration from Workplace Stress Factors: A Review
Nahid, N., Xinyi, M., Inoue, S. and Ahad, M. A. R. 2024. Psychological Analysis in Human-Robot Collaboration from Workplace Stress Factors: A Review. in: Ahad, M. A. R., Inoue, S., Lopez, G. and Hossain, T. (ed.) Human Activity and Behavior Analysis: Advances in Computer Vision and Sensors: Volume 2 Boca Raton, Florida CRC Press: Taylor & Francis Group. pp. 165-197Static Sign Language Recognition Using Segmented Images and HOG on Cluttered Backgrounds
Sadeghzadeh, A., Islam, B. and Ahad, M. A. R. 2024. Static Sign Language Recognition Using Segmented Images and HOG on Cluttered Backgrounds. in: Ahad, M. A. R., Inoue, S., Lopez, G. and Hossain, T. (ed.) Human Activity and Behavior Analysis: Advances in Computer Vision and Sensors: Volume 2 Boca Raton, Florida CRC Press: Taylor & Francis Group. pp. 23-45Human Activity and Behavior Analysis: Advances in Computer Vision and Sensors: Volume 2
Ahad, M., Inoue, S., Lopez, G. and Hossain, T. (ed.) 2024. Human Activity and Behavior Analysis: Advances in Computer Vision and Sensors: Volume 2. Boca Raton, Florida CRC Press: Taylor & Francis Group.Human Activity and Behavior Analysis Advances in Computer Vision and Sensors: Volume 1
Ahad, M., Inoue, S., Lopez, G. and Hossain, T. (ed.) 2024. Human Activity and Behavior Analysis Advances in Computer Vision and Sensors: Volume 1. Boca Raton, Florida CRC Press: Taylor & Francis Group.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. 67-82E2ETCA: End-to-end training of CNN and attention ensembles for rice disease diagnosis
Uddin, M. Z., Mahamood, M. N., Ray, A., Pramanik, M. I., Alnajjar, F. and Ahad, M. A. R. 2024. E2ETCA: End-to-end training of CNN and attention ensembles for rice disease diagnosis. Journal of Integrative Agriculture. In Press. https://doi.org/10.1016/j.jia.2024.03.075Human Identification at a Distance: Challenges, Methods and Results on HID 2023
Yu, S., Weng, C., Zhao, Y., Wang, L., Wang, M., Li, Q., Li, W., Wang, R., Huang, Y., Wang, L., Makihara, Y. and Ahad, M. A. R. 2023. Human Identification at a Distance: Challenges, Methods and Results on HID 2023. IJCB 2023: IEEE International Joint Conference on Biometrics. Ljubljana, Slovenia 25 - 28 Sep 2023 IEEE. https://doi.org/10.1109/IJCB57857.2023.10448952Learn 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.Autism Spectrum Disorder Classification via Local and Global Feature Representation of Facial Image
Mahamood, M. N., Uddin, M. Z., Shahriar, M. A., Alnajjar, F. and Ahad, M. A. R. 2023. Autism Spectrum Disorder Classification via Local and Global Feature Representation of Facial Image. SMC 2023: IEEE International Conference on Systems, Man, and Cybernetics. Hawaii, USA 01 - 04 Oct 2023 IEEE. https://doi.org/10.1109/SMC53992.2023.10394092Unsupervised Stereoscopic Video Style Transfer
Imani, H., Islam, M. B. and Ahad, M. A. R. 2023. Unsupervised Stereoscopic Video Style Transfer. ASYU 2023: Innovations in Intelligent Systems and Applications Conference. Sivas, Türkiye 11 - 13 Oct 2023 IEEE. https://doi.org/10.1109/ASYU58738.2023.10296716Deep 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/10.1016/j.engappai.2023.107185ASD-EVNet: An Ensemble Vision Network based on Facial Expression for Autism Spectrum Disorder Recognition
Jaby, A., Islam, M. B. and Ahad, M. A. R. 2023. ASD-EVNet: An Ensemble Vision Network based on Facial Expression for Autism Spectrum Disorder Recognition. 18th International Conference on Machine Vision and Applications (MVA). Hamamatsu, Japan 23 - 25 Jul 2023 IEEE. https://doi.org/10.23919/MVA57639.2023.10215688Computer 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/IJCB54206.2022.10007993Status of deep learning for EEG-based brain–computer interface applications
Hossain, K. M., Islam, M. A., Hossain, S., Nijholt, A. and Ahad, M. A. R. 2023. Status of deep learning for EEG-based brain–computer interface applications. Frontiers in Computational Neuroscience. 16 (Art. 1006763). https://doi.org/10.3389/fncom.2022.1006763Annotator-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? ABC 2021: 3rd International Conference on Activity and Behavior Computing. 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. ABC 2021: 3rd International Conference on Activity and Behavior Computing. 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. ABC 2021: 3rd International Conference on Activity and Behavior Computing. 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. ABC 2021: 3rd International Conference on Activity and Behavior Computing. 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.Exploiting domain transformation and deep learning for hand gesture recognition using a low-cost dataglove
Faisal, M. A. A., Abir, F. F., Ahmed, M. U. and Ahad, M. A. R. 2022. Exploiting domain transformation and deep learning for hand gesture recognition using a low-cost dataglove. Scientific Reports. 12 (Art. 21446). https://doi.org/10.1038/s41598-022-25108-2Signal Processing and Computer Vision
Ahad, M. A. R. and Ahmed, M. U. 2022. Signal Processing and Computer Vision. in: Electrical and Electronic Engineering: Prospects and Challenges Dhaka University Press. pp. 159-202Proceedings 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.Advances in Human Action, Activity and Gesture Recognition
Mahbub, U. and Ahad, M. 2022. Advances in Human Action, Activity and Gesture Recognition. Pattern Recognition Letters. 155, pp. 186-190. https://doi.org/10.1016/j.patrec.2021.11.003Automated 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.Recognition of human locomotion on various transportations fusing smartphone sensors
Das Antar, A., Ahmed, M. and Ahad, M. 2021. Recognition of human locomotion on various transportations fusing smartphone sensors. Pattern Recognition Letters. 148, pp. 146-153. https://doi.org/10.1016/j.patrec.2021.04.015MUMAP: 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/s201438118095
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