Conference Papers:

Sr #	Description
1	Ali, S., Iqbal, U., Ali, U., Sajid, Akbar, M.M. (2026). Deep CNN-Based Framework for Facial Demographic Prediction in Smart Systems. In: Tafuri, B., Kumar, S., Joshi, A. (eds) Machine and Computing Technologies for Sustainable Development. MCT4SD 2025. Lecture Notes in Networks and Systems, vol 1977. Springer, Cham. doi: https://doi.org/10.1007/978-3-032-23716-3_17
2	Ali, U., Hussain, T., Akbar, M.M., Ali, S., Sajid (2026). Socioeconomic Indicator-Based Crime Prediction in Pakistan Using Machine Learning Techniques. In: Iglesias, A., Shin, J., Bhatt, N., Joshi, A. (eds) Information Systems for Intelligent Systems. ISBM 2025. Lecture Notes in Networks and Systems, vol 1749. Springer, Cham. doi: https://doi.org/10.1007/978-3-032-13003-7_22
3	Ali, U., Shahid, S., Misbah, Ali, S., Aslam, S., Mustafa, K. (2026). Hybrid Kernel SVM and Boosting Approaches for Accurate Autism Spectrum Disorder Screening. In: Iglesias, A., Shin, J., Bhatt, N., Joshi, A. (eds) Information Systems for Intelligent Systems. ISBM 2025. Lecture Notes in Networks and Systems, vol 1744. Springer, Cham. doi: https://doi.org/10.1007/978-3-032-12996-3_17
4	Shahzad Ali, Muhammad Shahbaz, and Kashif Jamil. "Entropy-based feature selection classification approach for detecting phishing websites." In 2019 13th International Conference on Open Source Systems and Technologies (ICOSST), pp. 1-6. IEEE, 2019. DOI: 10.1109/ICOSST48232.2019.9044042
5	Muhammad Shahbaz, Shahzad Ali, Aziz Guergachi, Aneeta Niazi, and Amina Umer. "Classification of Alzheimer's Disease using Machine Learning Techniques." In Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-377-3, pages 296-303, 2019. DOI: 10.5220/0007949902960303.
6	Shahzad Ali, Muhammad Usman, Dawood Saddique, Muhammad Usman Aslam, and Shoaib Ejaz. "Prediction of Diabetes Disease using Data Mining Classification Techniques." Proceeding of Al Yamamah University Engineering Forum(YUENG), Riyadh, KSA, 10-11 March, 2019.