Department of Computer Sciences
Quaid-i-Azam University, Islamabad

Research Interests
Computer Vision Deep Learning Image Processing Machine Learning Medical Image Analysis Pattern Recognition
Courses Taught
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

EmotionNet-X: An Optimized CNN Architecture for Robust Facial Emotion Analysis

Journal 2025 DOI: 10.1109/ACCESS.2025.3580112

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

Hina Rashid

PhD - Under Supervision

2022 - Present
Ambreen Kausar

PhD - Under Supervision

2021 - Present
Aon Abbas

MSc - Graduated

Track Finder and Analyzer App

2019 - 2019
Muhammad Umer

MSc - Graduated

Person Identification Application

2014 - 2014
Saima Latif

MSc - Graduated

QAU Online Election System

2014 - 2014
Ahmed Fraz-ud-Din

MSc - Graduated

Local Transport Guide for Rawalpindi and Islamabad

2013 - 2013
Muhammad Islam

MSc - Graduated

Traffic Sign Training Simulator

2013 - 2013
Shekeeb Mushtaq

MSc - Graduated

Personal Shopping Management System

2013 - 2013
Mirza Sanam Iqbal

MSc - Graduated

Garden Quist

2012 - 2012
Muhammad Ayaz

MSc - Graduated

Online Ambulance Tracking System

2012 - 2012
Shafaqat Ali

MSc - Graduated

Event Synchronization

2012 - 2012
Ali Raza

MSc - Graduated

Image Watermarking in Social Environment

2011 - 2011
Hunny Tufail

MSc - Graduated

The Event Planner

2011 - 2011
Syed Jawad Haider

MSc - Graduated

Online Students Testing System

2011 - 2011
Fawad Khaliq

MSc - Graduated

Digital Map Generation Tool

2010 - 2010
Fazal Elahi

MSc - Graduated

Interactive Algorithm Visualization Tool

2010 - 2010
Muhammad Javeed

MSc - Graduated

Auto Tester: Test-Path Generation Tool for White Box Testing

2010 - 2010
Suleman Mubarik

MSc - Graduated

Web-based Sale and Purchase Management Information System

2010 - 2010
Waqas Saleem Khan

MSc - Graduated

Graph Algorithms Visualization Tool

2010 - 2010
Qamar Ali

MSc - Graduated

Lead Management System

2009 - 2009
Farina Riaz

MSc - Graduated

WLCG Log Analyzer and Recovery Tool

2008 - 2008
Muhammad Ahsan

MSc - Graduated

Health Monitoring and Error Recovery System for WLCG Grid

2008 - 2008
Tahir Mehmood Abbasi

MSc - Graduated

HT-Network

2008 - 2008
Asif Rafiq

MSc - Graduated

Network Resource Information and Management System

2007 - 2007
Asif Saleem

MSc - Graduated

Call State Control Server

2007 - 2007
Atiq-ur-Rehman

MSc - Graduated

Online Sale Purchase Business Monitoring via PDA System

2007 - 2007
Latifullah

MSc - Graduated

Smart Safe (Backup and Restore Application for Windows CE)

2007 - 2007
Mansoor-ul-Haq

MSc - Graduated

Asynchronous Implementation of Radius Server

2007 - 2007
Sana Ghaffar

MSc - Graduated

Call Stat Application Server

2007 - 2007
Shafqat Mehmood

MSc - Graduated

Advance Spam Filter

2007 - 2007
Yawar Hadi

MSc - Graduated

Diameter Server

2007 - 2007
Awais Masood

MSc - Graduated

Customer Relationship Management

2006 - 2006
Faisal Saleem

MSc - Graduated

Car Game for Mobile using J2ME

2006 - 2006
Muhammad Faiyaz

MSc - Graduated

Advcom VOIP Rating & Billing System

2006 - 2006
Rifat Mehmood Satti

MSc - Graduated

IVR Through Dialogic Card

2006 - 2006
Sarfraz Aslam

MSc - Graduated

Electronics Equipment Inventory Seeker

2006 - 2006
Tehseen Abul Hassan Kazmi

MSc - Graduated

Land Mine Detecting Robot

2006 - 2006
Waqar Mahmood

MS - Under Supervision

A Multi-Model Feature Fusion Network for Brain Tumor Classification in MRI

2025 - Present
Rafia

MS - Graduated

Self-Attention Driven Hybrid EfficientNet-ViT Model for Histopathological Images in Ovarian Cancer Classification

2024 - 2025
Shahjahan Luni

MS - Under Supervision

Federated Learning in Flood Detection from Satellite Images

2023 - Present
Farhana Bibi

MPhil - Under Supervision

Deep Learning Model for Early Detection and Classification of Non-Dermoscopic Skin Lesions

2024 - Present
Durr-e-Nayab

MPhil - Graduated

IRU-Net: An Inception Residual U-Net Model for Segmenting Brain Tumors in MRI

2023 - 2024
Anam Sahar

MPhil - Graduated

Multi-class Skin Cancer Classification from Dermoscopic Images using Deep Learning

2022 - 2023
Muhammad Bilal Farooq

MPhil - Graduated

Early Detection of Skin Cancer in Dermoscopy Images

2022 - 2023
Sana Maqsood

MPhil - Graduated

Multi-Stage Alzheimer's Disease Classification using Deep Learning Features Fusion

2022 - 2024
Zulqarnain

MPhil - Graduated

Identification of COVID-19 using Convolutional Neural Network from X-ray Images

2020 - 2022
Amna Muzaffar

BS - Graduated

Development of AI-based App for Anomaly Detection in Web Services deployed on Kubernetes

2023 - 2024
Laiba Masood

BS - Graduated

Development of AI-based Intrusion Detection Service for CMSWEB at CERN

2023 - 2024
Nihal Marriam Arif

BS - Graduated

CAD automation at National Center for Physics (NCP)

2023 - 2024
AI-Enabled Extension for Online Meeting Tool (Zoom/Gtm) for Remote Areas Having Low Internet Bandwidth

BS - Graduated

Hammad Zaheer

2022 - 2023
Muhammad Nasir Khurshid

BS - Graduated

AI-Enabled Legal Assistant

2022 - 2023
Muhammad Wahab

BS - Graduated

AI-Enabled Disaster Management and Communication System

2022 - 2023
Umair Siddique

BS - Graduated

COVID-19 SOP's Monitoring System

2021 - 2022
Umer Usman Akhtar

BS - Graduated

Active Driver: An Android Application to Measure Drowsiness Level in Drivers

2021 - 2022
Muhammad Adnan

BS - Graduated

Attentive Classroom: A Cross Platform Mobile Application

2020 - 2021
Muhammad Kashif

BS - Graduated

Vehicle Management and Monitoring System

2020 - 2021
Muhammad Zeshan

BS - Graduated

Citrus Disease Detecting: A Cross Platform Mobile Application

2020 - 2021
Sunaina Shafiq

BS - Graduated

Ahang: An NLP Based Smartphone Poetry Application

2020 - 2021
Tabib-ur-Rehman

BS - Graduated

AlCare: Android-Based Alzheimer Patients Monitoring System

2020 - 2021
Zoya Khan

BS - Graduated

Corona Meter: A Web Based Application

2020 - 2021
Tehreem Sarwar

BS - Graduated

Haazir Mechanic

2019 - 2020
Arslan Arif

BS - Graduated

Smart Gallery: Visual Image Search in Android via Machine Learning

2018 - 2019
Natasha Javeed

BS - Graduated

MedDelivery: A Delivery and Scheduling Android Application

2018 - 2019
Danish Ali Cheema

BS - Graduated

CCTV Footage Enhancement Tool

2017 - 2018
Muhammad Ali

BS - Graduated

Image Segmentation Visualizer

2017 - 2018