Research and Projects 

1-     Qasim, K. U., Zhang, J., Alsahfi, T., & Butt, A. U. R. (2025). Recursive Decomposition of Logical Thoughts: Framework for Superior Reasoning and Knowledge Propagation in Large Language Models. [Link]

2-     Alsahfi, T., Badshah, A., Aboulola, O. I., & Daud, A. (2025). Optimizing healthcare big data performance through regional computing. Scientific Reports, 15(1), 3129.[Link]

1-     Ahmed, N. U. R., Badshah, A., Adeel, H., Tajammul, A., Duad, A., & Alsahfi, T. (2024). Visual Deepfake Detection: Review of Techniques, Tools, Limitations, and Future Prospects. IEEE Access.[Link]

2-     Naeem, K., Bukhari, A., Daud, A., Alsahfi, T., Alshemaimri, B., & Alhajlah, M. (2024). Machine Learning and Deep Learning Optimization Algorithms for Unconstrained Convex Optimization Problem. IEEE Access.[Link]

3-     Alsahfi, T., Elmasri, R., Alhajlah, M., Alammari, A., Alshemaimri, B., & Aboulola, O. (2024). Data Fusion of Heterogeneous Data Sources for Intelligent Transportation Systems. In 2024 1st International Conference on Logistics (ICL) (pp. 1-17). IEEE.[Link]

4-     Zara, U., Ayub, K., Khan, H. U., Daud, A., Alsahfi, T., & Gulzar, S. (2024). Phishing Website Detection Using Deep Learning Models. IEEE Access.[Link]

5-     Badshah, A., Daud, A., Alhajlah, M., Alsahfi, T., Alshemaimri, B., et al. (2024). Smart cities’ big data: performance and cost optimization with regional computing. IEEE Access.[Lnik]

6-     Zahoor, M. M., Khan, S. H., Alahmadi, T. J., Alsahfi, T., Mazroa, A. S. A., et al. (2024). Brain tumor MRI classification using a novel deep residual and regional CNN. Biomedicines, 12(7), 1395.[Link]

7-     Alsahfi, T. (2024). Spatial and Temporal Analysis of Road Traffic Accidents in Major Californian Cities Using a Geographic Information System. ISPRS International Journal of Geo-Information, 13(5), 157.[Link]

8-     Asif, H. M., Khan, S. H., Alahmadi, T. J., Alsahfi, T., & Mahmoud, A. (2024). Malaria parasitic detection using a new Deep Boosted and Ensemble Learning framework. Complex & Intelligent Systems, 1-17.[Link]

1-     Khan, S. H., Alahmadi, T. J., Alsahfi, T., Alsadhan, A. A., Mazroa, A. A., et al. (2023). COVID-19 infection analysis framework using novel boosted CNNs and radiological images. Scientific Reports, 13(1), 21837.[Link]

1-     Alshemaimri, B., Elmasri, R., Alsahfi, T., & Almotairi, M. (2021). A survey of problematic database code fragments in software systems. Engineering Reports, 3(10), e12441.[Link]

1-     Alsahfi, T., Almotairi, M., & Elmasri, R. (2020). A survey on trajectory data warehouse. Spatial Information Research, 28(1), 53-66.[Link]

2-     Alsahfi, T. (2020). Road map generation and feature extraction algorithms from GPS trajectories and Trajectories Data warehousing.[Link]

1-     Almotairi, M., Alsahfi, T., & Elmasri, R. (2019). Challenges of comparing and matching roads from different spatial datasets. In Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments (pp. 164-171).[Link]

2-     Alsahfi, T., Almotairi, M., Elmasri, R., & Alshemaimri, B. (2019). Road map generation and feature extraction from GPS trajectories data. In Proceedings of the 12th ACM SIGSPATIAL International Workshop on Computational Transportation Science 1 (pp. 1-10).[Link]

3-     Almotairi, M., Alsahfi, T., & Elmasri, R. (2018). Using local and global divergence measures to identify road similarity in different road network datasets. In Proceedings of the 11th ACM SIGSPATIAL International Workshop on Computational Transportation Science (pp. 21-28).[Link]