Mannan, Muhammad Adeel, Sadiq Ur Rehman, Saad Akbar, and Mohammad Ayub Latif. "SMART FLOOD PREVENTION: A REVIEW OF CUTTING-EDGE DATA SCIENCE MODELS FOR EARLY URBAN FLOOD DETECTION AND RESPONSE SYSTEMS." Kashf Journal of Multidisciplinary Research 2, no. 09 (2025): 125-147. (HEC Y - Category Journal)
Saim Masood Shaikh, Humera Azam, Muhammad Zamin Ali Khan, and Saad Akbar. 2025. “NAVIGATING CONTEMPORARY CHALLENGES OF SOFTWARE QUALITY ASSURANCE IN SOFTWARE TESTING”. Spectrum of Engineering Sciences 3 (9):59-71. https://sesjournal.org/index.php/1/article/view/955. (HEC Y - Category Journal)
Hussain, Afzal, Muhammad Adeel Mannan, Humera Azam, Saad Akbar, and Mohammad Ayub Latif. "AI-POWERED BEHAVIORAL ACCESS CONTROL FRAMEWORK USING SMART CONTRACTS ACROSS SDN ENVIRONMENTS." Journal of Emerging Technology and Digital Transformation 4, no. 2 (2025): 187-206. (HEC Y - Category Journal)
Saad Akbar, Jaweria Imran, Humera Azam, Mohammad Ayub Latif, and Aqsa Nadir, “EXPLORING THE POTENTIAL OF VIRTUAL REALITY AS A TOOL FOR ENHANCING CLIMATE CHANGE AWARENESS: A REVIEW”, SES, vol. 3, no. 6, pp. 840–849, Jun. 2025. (HEC Y - Category Journal)
Arsam Ali, Mohammad Ayub Latif, Saad Akbar, Usman Khan, Muhammad Khalid Khan, Syed Mubashir Ali and Muhammad Zunnurain Hussain 2025. EFFORT ESTIMATION IN AGILE PROJECTS USING ADAPTIVE AI-DRIVEN APPROACH. Spectrum of Engineering Sciences. 3, 5 (May 2025), 564–580. (HEC Y - Category Journal)
Saad Akbar, Shahid Munir Shah, R. Tahir, M. M. Khan, and N. Aamir, “Advancements in EEG-Based Machine Learning Techniques for Early Autism Spectrum Disorder Diagnosis: A Review,” VAWKUM Transactions on Computer Sciences, vol. 13, no. 1, pp. 178–189, May 2025. (HEC Y - Category Journal)
Shahid Munir Shah, M. M. Aljawarneh, and Saad Akbar, “Assistive Living in IoT-Based Smart Home Systems for Aging in Place: A Review,” VFAST Transactions on Software Engineering, vol. 13, no. 2, pp. 83–98, May 2025. (HEC Y - Category Journal)
Mohammad Ayub Latif, M. K. Khan, Saad Akbar, and U. Khan, “Investigating Effort Estimation Techniques for Mobile Applications: An Efficient Approach,” VFAST Transactions on Software Engineering, vol. 12, no. 4, pp. 267–281, Dec. 2024. (HEC Y - Category Journal)
Saad Akbar, H. Tariq, M. Fahad, G. Ahmed, and H. J. Syed, “Contemporary Study on Deep Neural Networks to Diagnose COVID-19 Using Digital Posteroanterior X-ray Images,” Electronics, vol. 11, no. 19, p. 3113, Sep. 2022. DOI: 10.3390/electronics11193113 (HEC W - Category Journal)
(Impact Factor: 3.1 – Computers, Materials and Continua, TSP)
Saad Akbar, H. Azam, S. S. Almutairi, O. Alqahtani, H. Shah et al., “Contemporary Study for Detection of COVID-19 Using Machine Learning with Explainable AI,” Computers, Materials & Continua, vol. 80, no. 1, pp. 1075–1104, 2024. DOI: 10.32604/cmc.2024.050913 (HEC W - Category Journal)
(Impact Factor: 3.3 – Brain Sciences, MDPI)
H. Azam, H. Tariq, D. Shehzad, Saad Akbar, H. Shah, and Z. A. Khan, “Fully Automated Skull Stripping from Brain Magnetic Resonance Images Using Mask RCNN-Based Deep Learning Neural Networks,” Brain Sciences, vol. 13, no. 9, p. 1255, 2023. DOI: 10.3390/brainsci13091255 (HEC X - Category Journal)
Saad Akbar, Najmi Ghani Haider, and H. Tariq, “Tuberculosis Diagnosis Using X-ray Images,” International Journal of Advanced Research, vol. 7, issue 4, pp. 689–696, 2019.
H. Tariq, A. Ahmed, T. Raza, Saad Akbar, and A. Samreen, “Bezier Curve and Decision Tree Modelling for Facial Expression Analysis,” International Journal of Current Research, vol. 11, issue 4, pp. 2799–2805, Apr. 2019.