1. H Altaheri, F Karray, G. Muhammad, MM Islam, SMTU Raju, MR Haque, and AH Karimi. "Bridging Brain with Foundation Models through Self-Supervised Learning." in preparation for submission to IEEE Transactions on Pattern Analysis and Machine Intelligence. arXiv preprint 2506.16009 https://doi.org/10.48550/arXiv.2506.16009 2025.
2. H Altaheri, F Karray, and AH Karimi. "Temporal Convolutional Transformer for EEG-Based Motor Imagery Decoding." Nature Scientific Reports, Sep 26;15(1):32959, 2025. https://doi.org/10.1038/s41598-025-16219-7 (Nature, ISI, IF = 3.9)
3. SMTU Raju, MR Haque, MM Islam, H Altaheri, et al. "ClusGNN-ViT: Integrating Deep Embedded Clustering and GNN-MIL for Microscopic Image Captioning and Diagnosis." IEEE Transactions on Medical Imaging, under revision (2025). (IEEE, ISI, IF = 9.8)
4. MR Haque, MM Islam, SMTU Raju, H Altaheri, and F Karray. "MDD-Net: Multimodal Depression Detection through Mutual Transformer." IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2025. (IEEE, ISI)
5. W. Halboob, H. Altaheri, A. Derhab, J. Al-Muhtadi. "Crowd Management Intelligence Framework: Umrah Use Case", IEEE Access, vol. 12, pp. 6752-6767, 2024, https://doi.org/10.1109/ACCESS.2024.3350188 (IEEE, ISI, IF = 3.6)
6. H. Altaheri, G. Muhammad, M. Alsulaiman, et al. "Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review". Neural Comput. Appl., vol. 35, no. 20, 14681–14722, 2023. https://doi.org/10.1007/s00521-021-06352-5 (Springer, ISI, IF = 4.5) 🔥Highly Cited-WoS
7. H. Altaheri, M. Bencherif, M. Alsulaiman, et al. "KSU-ArSL: Arabic sign language dataset and validation using the latest deep convolutional neural networks", Heliyon, under revision, (2024), (Elsevier, ISI, IF = 3.6)
8. H. Altaheri, G. Muhammad, M. Alsulaiman. " Dynamic convolution with multilevel attention for EEG-based motor imagery decoding." IEEE Internet of Things Journal, vol. 10, no. 21, (2023). https://doi.org/10.1109/JIOT.2023.3281911 (IEEE, ISI, IF = 8.9)
9. H. Altaheri, G. Muhammad, M. Alsulaiman. "Physics-informed attention temporal convolutional network for EEG-based motor imagery classification." IEEE Transactions on Industrial Informatics, vol. 19, no. 2, pp. 2249-2258, (2022) https://doi.org/10.1109/TII.2022.3197419 (IEEE, ISI, IF = 9.9) 🔥Highly Cited-WoS
10. H. Altaheri, M. Alsulaiman and G. Muhammad, "Date Fruit Classification for Robotic Harvesting in a Natural Environment Using Deep Learning", IEEE Access, vol. 7, pp. 117115-117133, (2019). https://doi.org/10.1109/ACCESS.2019.2936536 (IEEE, ISI, IF = 3.6)
11. M. Qamhan, H. Altaheri, A. Meftah, G. Muhammad, and Y. Alotaibi. "Digital Audio Forensics: Microphone and Environment Classification Using Deep Learning." IEEE Access 9 (2021): 62719-62733. https://doi.org/10.1109/ACCESS.2021.3073786 (IEEE, ISI, IF = 3.6)
1. H Altaheri, F Karray, G. Muhammad, MM Islam, SMTU Raju, MR Haque, and AH Karimi. "Bridging Brain with Foundation Models through Self-Supervised Learning." in preparation for submission to IEEE Transactions on Pattern Analysis and Machine Intelligence. arXiv preprint 2506.16009 https://doi.org/10.48550/arXiv.2506.16009 2025.
2. H Altaheri, F Karray, and AH Karimi. "Temporal Convolutional Transformer for EEG-Based Motor Imagery Decoding." Nature Scientific Reports, Sep 26;15(1):32959, 2025. https://doi.org/10.1038/s41598-025-16219-7 (Nature, ISI, IF = 3.9)
3. SMTU Raju, MR Haque, MM Islam, H Altaheri, et al. "ClusGNN-ViT: Integrating Deep Embedded Clustering and GNN-MIL for Microscopic Image Captioning and Diagnosis." IEEE Transactions on Medical Imaging, under revision (2025). (IEEE, ISI, IF = 9.8)
4. MR Haque, MM Islam, SMTU Raju, H Altaheri, L Nassar, and F Karray. "MMFformer: Multimodal Fusion Transformer Network for Depression Detection." IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2025. (IEEE, ISI)
5. H Altaheri, G Muhammed, SU Amin, and M Alsulaiman. "REH-MI: EEG Motor Imagery Dataset from the Same Limb for Rehabilitation Applications", IEEE Dataport, 2025, https://dx.doi.org/10.21227/xgzb-6s98. (IEEE)
6. SMTU Raju, MM Islam, MR Haque, H Altaheri, et al. " GNN-ViTCap: GNN-Enhanced Multiple Instance Learning with Vision Transformers for Whole Slide Image Classification and Captioning." International Joint Conference on Neural Networks (IJCNN). IEEE, (2025). (IEEE, ISI)
7. MR Haque, MM Islam, SMTU Raju, H Altaheri, and F Karray. "MDD-Net: Multimodal Depression Detection through Mutual Transformer." IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2025. (IEEE, ISI)
1. H Altaheri, F Karray, G. Muhammad, MM Islam, SMTU Raju, MR Haque, and AH Karimi. "Bridging Brain with Foundation Models through Self-Supervised Learning." in preparation for submission to IEEE Transactions on Pattern Analysis and Machine Intelligence. arXiv preprint 2506.16009 https://doi.org/10.48550/arXiv.2506.16009 2025.
2. H Altaheri, F Karray, and AH Karimi. "Temporal Convolutional Transformer for EEG-Based Motor Imagery Decoding." Nature Scientific Reports, Sep 26;15(1):32959, 2025. https://doi.org/10.1038/s41598-025-16219-7 (Nature, ISI, IF = 3.9)
3. SMTU Raju, MR Haque, MM Islam, H Altaheri, et al. "ClusGNN-ViT: Integrating Deep Embedded Clustering and GNN-MIL for Microscopic Image Captioning and Diagnosis." IEEE Transactions on Medical Imaging, under revision (2025). (IEEE, ISI, IF = 9.8)
4. MR Haque, MM Islam, SMTU Raju, H Altaheri, L Nassar, and F Karray. "MMFformer: Multimodal Fusion Transformer Network for Depression Detection." IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2025. (IEEE, ISI)
5. H Altaheri, G Muhammed, SU Amin, and M Alsulaiman. "REH-MI: EEG Motor Imagery Dataset from the Same Limb for Rehabilitation Applications", IEEE Dataport, 2025, https://dx.doi.org/10.21227/xgzb-6s98. (IEEE)
6. SMTU Raju, MM Islam, MR Haque, H Altaheri, et al. " GNN-ViTCap: GNN-Enhanced Multiple Instance Learning with Vision Transformers for Whole Slide Image Classification and Captioning." International Joint Conference on Neural Networks (IJCNN). IEEE, (2025). (IEEE, ISI)
7. MR Haque, MM Islam, SMTU Raju, H Altaheri, and F Karray. "MDD-Net: Multimodal Depression Detection through Mutual Transformer." IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2025. (IEEE, ISI)
8. W. Halboob, H. Altaheri, A. Derhab, J. Al-Muhtadi. "Crowd Management Intelligence Framework: Umrah Use Case", IEEE Access, vol. 12, pp. 6752-6767, 2024, https://doi.org/10.1109/ACCESS.2024.3350188 (IEEE, ISI, IF = 3.6)
9. H. Altaheri, G. Muhammad, M. Alsulaiman, et al. "Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review". Neural Comput. Appl., vol. 35, no. 20, 14681–14722, 2023. https://doi.org/10.1007/s00521-021-06352-5 (Springer, ISI, IF = 4.5) 🔥Highly Cited-WoS
10. H. Altaheri, M. Bencherif, M. Alsulaiman, et al. "KSU-ArSL: Arabic sign language dataset and validation using the latest deep convolutional neural networks", Heliyon, under revision, (2024), (Elsevier, ISI, IF = 3.6)
11. H. Altaheri, G. Muhammad, M. Alsulaiman. " Dynamic convolution with multilevel attention for EEG-based motor imagery decoding." IEEE Internet of Things Journal, vol. 10, no. 21, (2023). https://doi.org/10.1109/JIOT.2023.3281911 (IEEE, ISI, IF = 8.9)
12. H. Altaheri, G. Muhammad, M. Alsulaiman. "Physics-informed attention temporal convolutional network for EEG-based motor imagery classification." IEEE Transactions on Industrial Informatics, vol. 19, no. 2, pp. 2249-2258, (2022) https://doi.org/10.1109/TII.2022.3197419 (IEEE, ISI, IF = 9.9) 🔥Highly Cited-WoS
13. M. Al-Hammadi, et al. "Spatial Attention-Based 3D Graph Convolutional Neural Network for Sign Language Recognition." Sensors 22.12 (2022): 4558. https://doi.org/10.3390/s22124558 (MDPI, ISI, IF = 3.5)
14. M. Faisal et al., "Enabling Two-way Communication of Deaf Using Saudi Sign Language," IEEE Access, vol. 11, pp. 135423-135434, (2023), https://doi.org/10.1109/ACCESS.2023.3337514 (IEEE, ISI, IF = 3.6)
15. SU. Amin, H. Altaheri, G. Muhammad, M. Alsulaiman, and W. Abdul. “Attention-Inception and Long Short-Term Memory-based Electroencephalography Classification for Motor Imagery Tasks in Rehabilitation”, IEEE Trans. Ind. Informatics, vol. 18, no. 8, pp. 5412–5421, 2021. https://doi.org/10.1109/TII.2021.3132340 (IEEE, ISI, IF = 9.9)
16. M. Alsulaiman, et al. "Facilitating the Communication with Deaf People: Building a Largest Saudi Sign Language Dataset". Journal of King Saud University-Computer and Information Sciences, 35.8 (2023): 101642. https://doi.org/10.1016/j.jksuci.2023.101642. (Elsevier, ISI, IF = 6.1)
17. H. Altaheri, M. Alsulaiman and G. Muhammad, "Date Fruit Classification for Robotic Harvesting in a Natural Environment Using Deep Learning", IEEE Access, vol. 7, pp. 117115-117133, (2019). https://doi.org/10.1109/ACCESS.2019.2936536 (IEEE, ISI, IF = 3.6)
18. H. Altaheri, M. Alsulaiman, G. Muhammad, S. U. Amin, et al. “Date Fruit Dataset for Intelligent Harvesting", Data in Brief, vol. 26, p. 104514, Oct. 2019. https://doi.org/10.1016/j.dib.2019.104514 (Elsevier, ISI, IF = 1.4)
19. M. Qamhan, H. Altaheri, A. Meftah, G. Muhammad, and Y. Alotaibi. "Digital Audio Forensics: Microphone and Environment Classification Using Deep Learning." IEEE Access 9 (2021): 62719-62733. https://doi.org/10.1109/ACCESS.2021.3073786 (IEEE, ISI, IF = 3.6)
20. A. Altamrah, H. Altaheri, M. Alsuliman, O. Shehadeh, Y. Alotaibi. “An Acoustic Analysis and Comparison of Two Unique and Almost Identical Arabic Emphatic Phonemes”. In European Modelling Symposium (EMS), 2017 (pp. 84-88). IEEE. https://doi.org/10.1109/EMS.2017.25 (IEEE, ISI)
21. G. Altuwaijri, G. Muhammad, H. Altaheri, & M. Alsulaiman. “A Multi-Branch Convolutional Neural Network with Squeeze-and-Excitation Attention Blocks for EEG-Based Motor Imagery Signals Classification”. Diagnostics, 12(4), 995, (2022). https://doi.org/10.3390/diagnostics12040995 (MDPI, ISI, IF = 3.3)
22. SU. Amin, H. Altaheri, G. Muhammad, M. Alsulaiman, and W. Abdul. “Attention Based Inception Model for Robust EEG Motor Imagery Classification”, 2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2021. https://doi.org/10.1109/I2MTC50364.2021.9460090 (IEEE, ISI)
23. Y. Musallam, N. AlFassam, G. Muhammad, S. Amin, M. Alsulaiman, W. Abdul, H. Altaheri, et al. "Electroencephalography-based motor imagery classification using temporal convolutional network fusion." Biomedical Signal Processing and Control 69 (2021): 102826. https://doi.org/10.1016/j.bspc.2021.102826 (Elsevier, ISI, IF = 4.9)
24. H. Altaheri, M. Alsulaiman, M. Faisal, and G. Muhammad, Date Fruit Dataset for Automated Harvesting and Visual Yield Estimation, IEEE DataPort, v1, 2019. http://dx.doi.org/10.21227/x46j-sk98. (IEEE)
25. M. Faisal, M. Alsulaiman, R. Hedjar, H. Mathkour, M. Zuair, H. Altaheri, et al. “Enhancement of mobile robot localization using extended Kalman filter”. Advances in Mechanical Engineering, Vol. 8(11) 1-11, 2016. https://doi.org/10.1177/1687814016680142 (SAGE, ISI, IF = 2.0)
1. "Tree harvesting tool." U.S. Patent No. 10485171. 26 Nov. 2019.
2. “Robotic System for Harvesting and Maintaining Date Palms” U.S. Patent No. 11910751. Feb. 2024.