Journal Articles
Ali U, Sufyan M, Ali S, Ahmad M, Rehman Khan Su, et al. (2026) A robust multi-location evaluation of a machine learning framework for wind power forecasting. PLOS ONE 21(4): e0344971. doi: https://doi.org/10.1371/journal.pone.0344971
Argenti, Lucia, Federico Massa, Mattia Losa, Lorenzo Lombardo, Luigi Lorenzini, Enrico Peira, Luca Sofia et al. (2026). "Neurotransmitter landscape and neurodegeneration patterns in Alzheimer’s Disease." Neurobiology of Aging. doi: https://doi.org/10.1016/j.neurobiolaging.2026.02.004
Ali Shahzad, Kreshpa W, Rosso N, Piana M, Roccatagliata L, Cirone A, Luigi L, Campi C, Pardini M and Garbarino S (2026). A systematic study on the integration of MRI connectivity metrics for Alzheimer's diagnosis, staging, and cognitive decline prediction. Front. Neuroimaging 5:1746464. doi: https://doi.org/10.3389/fnimg.2026.1746464
Naveed Manji, Salima, Muhammad Imtiaz, Saroosh Ehsan, Khizer Mehmood, Shahzad Ahmad, Naauman Zaheer, Shazia Iqbal, Shahzad Ali (2026). "Perception of Dental Faculty Regarding Development of Preclinical Endodontic Simulation Curriculum for Undergraduate Dental Students in Pakistan." Scientifica, 2026, 1988107. doi: https://doi.org/10.1155/sci5/1988107
Bashir, Anam Fayyaz, Ussamah Waheed Jatala, Muhammad Amber Fareed, Sheryar Sheryar, Saadia Ahmad Chattha, Saima Razaq Khan, Shahzad Ahmad, Shazia Iqbal, Muhammad Sohail Zafar, and Shahzad Ali (2025). "Evaluation of Post‐Endodontic Pain Reduction Using Intracanal Cryotherapy in Symptomatic Apical Periodontitis." Australian Endodontic Journal 51, no. 3: 677-683. doi: https://doi.org/10.1111/aej.12983
Losa, Mattia, Matteo Cotta Ramusino, Isabella Cama, Lorenzo Gualco, Ilaria Gandoglia, Federico Massa, Andrea Donniaquio et al. (2025). "Cerebrospinal Fluid Biomarkers Profiling in Cerebral Amyloid Angiopathy and Relationship With Disease Phenotypes." Journal of the American Heart Association 14, no. 20: e044784. doi: https://doi.org/10.1161/JAHA.125.044784
Ali, Shahzad, Michele Piana, Matteo Pardini, and Sara Garbarino (2025). "Graph neural networks in Alzheimer's disease diagnosis: a review of unimodal and multimodal advances." Frontiers in Neuroscience 19: 1623141. doi: https://doi.org/10.3389/fnins.2025.1623141
Kiran, Isha, Shahzad Ali, Musaed Alhussein, Sheraz Aslam, and Khursheed Aurangzeb (2025). "An AI-Enabled Framework for Transparency and Interpretability in Cardiovascular Disease Risk Prediction." Computers, Materials & Continua, 82(3), 5057–5078. doi: https://doi.org/10.32604/cmc.2025.058724
Ali, Shahzad, and Muhammad Shahbaz (2020). "Streamflow forecasting by modeling the rainfall–streamflow relationship using artificial neural networks." Modeling Earth Systems and Environment 6, no. 3 (2020): 1645-1656. doi: https://doi.org/10.1007/s40808-020-00780-3
Conference Papers
Ali, Usman, Shaiza Shahid, Misbah, Shahzad Ali, Sheraz Aslam, and Kainat Mustafa (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
Ali, Usman, Tariq Hussain, Muhammad Mujeeb Akbar, Shahzad Ali, and 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
Ali, Shahzad, Muhammad Shahbaz, and Kashif Jamil (2019). "Entropy-based feature selection classification approach for detecting phishing websites." In 2019 13th International Conference on Open Source Systems and Technologies (ICOSST), Lahore, Pakistan, pp. 1-6. IEEE. doi: http://doi.org/10.1109/ICOSST48232.2019.9044042
Shahbaz, Muhammad, Shahzad Ali, Aziz Guergachi, Aneeta Niazi, and Amina Umer (2019). "Classification of Alzheimer's Disease using Machine Learning Techniques." In Proceedings of the 8th International Conference on Data Science, Technology and Applications - DATA; ISBN 978-989-758-377-3; ISSN 2184-285X, SciTePress, pages 296-303. doi: http://doi.org/10.5220/0007949902960303
Ali, Shahzad, Muhammad Usman, Dawood Saddique, Muhammad Usman Aslam, and Shoaib Ejaz (2019). "Prediction of Diabetes Disease using Data Mining Classification Techniques." In Proceeding of Al Yamamah University Engineering Forum (YUENG), Riyadh, KSA. [PDF]