Department of Computer Sciences
Quaid-i-Azam University, Islamabad
CS-101 - Introduction to Computing [BS]
CS-301 - Computer Systems [BS]
CS-423 - Computer Graphics [BS]
CSC-104 - Problem Solving & Programming [BS]
CSC-211 - Data Structures [BS]
CSC-226 - Operating Systems [BS]
CSC-311 - Analysis & Design of Algorithms [BS]
CSC-411 - Compiler Construction [BS]
CSC-652 - Advanced Analysis of Algorithms [MS]
CSC-741 - Computer Vision [MS]
CSC-818 - Advanced Computer Vision [MS/PhD]
Qurat-ul-Ain, Irfan Mehmood, Syed Muhammad Naqi and M. Arfan Jaffar, (2010),"Bayesian Classification Using DCT Features for Brain Tumor Detection", Knowledge-Based and Intelligent Information and Engineering Systems, LNCS, Volume 6276/2010, p.p. 340-349.
Conference 2010 DOI: 10.1007/978-3-642-15387-7_38
Divya Ramachandran, Syed Muhammad Naqi, Ganeshkumar Perumal, and Qaisar Abbas. (2023) "DLTN-LOSP: A Novel Deep-Linear-Transition-Network-Based Resource Allocation Model with the Logic Overhead Security Protocol for Cloud Systems." Sensors 23, no. 20 pp. 8448. (Impact Factor: 3.9)
Journal 2023 DOI: 10.3390/s23208448
Ganeshkumar Perumal, Gopalakrishnan Subburayalu, Qaisar Abbas, Syed Muhammad Naqi , and Imran Qureshi (2023) "VBQ-Net: A Novel Vectorization-Based Boost Quantized Network Model for Maximizing the Security Level of IoT System to Prevent Intrusions." Systems 11, no. 8 pp.436. (Impact Factor: 1.9)
Journal 2023 DOI: 10.3390/systems11080436
Muhammad Zaheer Sajid, Muhammad Fareed Hamid, Ayman Youssef, Javeria Yasmin, Ganeshkumar Perumal, Imran Qureshi, Syed Muhammad Naqi, and Qaisar Abbas (2023) "DR-NASNet: Automated System to Detect and Classify Diabetic Retinopathy Severity Using Improved Pretrained NASNet Model." Diagnostics 13, no. 16 pp. 2645. (Impact Factor: 3.6)
Journal 2023 DOI: 10.3390/diagnostics13162645
Sahar Gull, Shahzad Akbar, and Syed Muhammad Naqi (2023) "A deep learning approach for multi?stage classification of brain tumor through magnetic resonance images." International Journal of Imaging Systems and Technology. (Impact Factor: 3.3)
Journal 2023 DOI: 10.1002/ima.22897
Syed Muhammad Naqi, Muhammad Sharif, Ikram Ullah Lali (2019) "A 3D nodule candidate detection method supported by hybrid features to reduce false positives in lung nodule detection," Multimedia Tools and Applications, vol. 78(18), pp. 26287-26311, (Impact Factor: 2.1)
Journal 2019 DOI: 10.1007/s11042-019-07819-3
Syed Muhammad Naqi, Muhammad Sharif, Arfan Jaffar (2020) "Lung Nodule Detection and Classification based on Geometric Fit in Parametric Form and Deep Learning," Neural Computing and Applications, vol. 32, pp. 4629-4647, (Impact Factor: 5.76)
Journal 2018 DOI: 10.1007/s00521-018-3773-x
Syed Muhammad Naqi, Muhammad Sharif, Mussarat Yasmin, (2018) "Multistage Segmentation Model and SVM-Ensemble for Precise Lung Nodule Detection," International Journal of Computer Assisted Radiology and Surgery, 13(7) 1083-1095 (Impact Factor: 2.15)
Journal 2018 DOI: 10.1007/s11548-018-1715-9
Syed Muhammad Naqi and Muhammad Sharif (2017) "Recent Developments in Computer Aided Diagnosis for Lung Nodule Detection from CT images: A Review." Current Medical Imaging Reviews, 13, no. 1 3-19. (Impact Factor: 0.53)
Journal 2017 DOI: 10.2174/1573405612666160610093453
Syed Muhammad Naqi, Muhammad Sharif, Mussarat Yasmin, Steven Lawrence Fernandes (2018) "Lung Nodule Detection Using Polygon Approximation and Hybrid Features from Lung CT Images", Current Medical Imaging Reviews, 14, no. 1 108-117 (Impact Factor: 0.53)
Journal 2017 DOI: 10.2174/1573405613666170306114320
Zahra Abbas, Mario Fiorino, Syed Muhammad Naqi, Musarat Abbas (2023) "COVID-19 Prediction Infrastructure Using Deep Learning", Workshop Proceedings of the 19th International Conference on Intelligent Environments (IE2023), Volume 32
Workshop 2023 DOI: 10.3233/AISE230020