Core Leadership & Faculty
Leading research across COMSATS, SnT Luxembourg, Tsinghua University, and KFUPM.
Specialization: Source Code Security, Vulnerability Repair, Code Clone Detection, Software Testing
Assistant Professor & HEC-Approved PhD Supervisor leading SSA Lab. Former Postdoc at SnT Luxembourg & SES Satellites. PhD from Tsinghua University.
Specialization: Obfuscated Malware Detection, Ensemble Learning, IoT & Android Security
Senior collaborator & co-author on advanced ensemble frameworks defending Windows, Android, and IoT malware systems (Applied Soft Computing 2025).
Specialization: Software Security & System Architecture
Academic partner collaborating on source-code security assessment, empirical software engineering, and joint student development.
Specialization: Information Security & Program Analysis
Key collaborator on large-scale vulnerability detection platforms (SQVDT), DroidMD/DroidSD, and token-based clone analysis across multi-billion LOC repositories.
Specialization: Cybersecurity, IoT Security & Ensemble Learning
Collaborating researcher co-authoring high-impact cybersecurity and malware defense studies in top-tier journals. Editor-in-Chief of ACM DLT.
Specialization: Machine Learning & Software Security
Collaborator on ensemble frameworks for obfuscated malware identification and threat intelligence. Former Dean at KFUPM.
Postgraduate Research Team
Master of Science (MS CS) researchers working on vulnerability repair, AST/CFG code summarizers, Graph Neural Networks, and search-based testing under Dr. Junaid Akram's supervision.
Thesis: Automated Search Based Test Data Generation for Complex Systems using UML Models
Research Focus: Software Testing & Search-Based Algorithms
Thesis: LLM Based Software Vulnerability Patch Recommendation System
Research Focus: LLM Fine-Tuning & Program Repair
Thesis: In-context Learning of Software Vulnerability Detection Using LLMs
Research Focus: In-Context Prompt Engineering & Security
Thesis: Empowering a Graph Neural Network for Feature Envy Detection and Refactoring
Research Focus: Graph Neural Networks & Code Smells
Thesis: AICodeSummarizer: Optimizing Code Comment Generation through AST and CFG Structural Analysis
Research Focus: Code Summarization & AST/CFG Analysis
Thesis: Automated Test Smell Detection and Recommendation in BDD Specifications
Research Focus: BDD Specifications & Test Quality
Thesis: LLM-based Semantic-driven Approach to Detect Type-4 Code Clones
Research Focus: Semantic Code Clones & Deep Learning
Undergraduate Research Team
Final-year project engineering teams and supervised undergraduate researchers at COMSATS University Islamabad and Xiamen University Malaysia.
A supervised final-year engineering development project combining a full-stack freelancing marketplace with AI decision assistance and blockchain payment escrow.
Team Members:
Ghulam Mujtaba(FA22-BSE-199)
Muhammad Waqar Ul Mulk(FA22-BSE-153)A running research project leveraging Large Language Models (LLMs) to detect complex software vulnerabilities in source code through fine-tuning, Abstract Syntax Tree (AST) parsing, and AST-guided prompt engineering.
Team Members:
Muhammad Muneeb Azhar(SP23-BSE-125)A running software security project building a scalable token-based semantic code clone detection platform to capture Type-3 and Type-4 clones across large open-source repositories.
Team Members:
Hafiz Muhammad Shams ul Huda(SP23-BSE-067)A running research project developing an automated patch optimization engine powered by LLMs that synthesizes and verifies security patch suggestions for vulnerable code snippets.
Team Members:
An intelligent code smell detection tool targeting Feature Envy through AST structural analysis, Graph Neural Networks, and automated refactoring recommendations with interactive visual analytics.
Team Members:
A multi-modal web-based AI screening platform combining vision analytics, behavioral questionnaires, and machine learning models for early screening of autism spectrum and psychological disorders.
Team Members:
Completed supervised project implementing static disassembly analysis, APK opcode feature vectors, and ensemble machine learning classifiers for resilient Android malware detection.
Team Members:
Completed biomedical machine learning project deploying deep convolutional neural networks to classify blood cell microscopic images and detect diagnostic anomalies automatically.
Team Members:
Completed web security capstone project delivering an automated Cross-Site Scripting (XSS) static code auditor and dynamic browser defense extension.
Team Members:
Completed sports analytics platform combining computer vision for ball-tracking, player biomechanics assessment, and statistical match prediction.
Team Members:
Completed biomedical signal processing system utilizing audio sensor processing and machine learning to detect nocturnal sleep apnea events in real time.
Team Members:
Completed software vulnerability management platform aggregating CVE repositories, automated severity scoring, and code vulnerability tracking across enterprise projects.
Team Members:
Completed static code analysis suite detecting structural code smells (God Class, Long Method, Feature Envy) and generating safe automated refactoring patches.
Team Members:
Completed research project capturing hierarchical Abstract Syntax Tree and Control Flow Graph structures to recommend software architectural improvements.
Team Members:
Completed computer vision healthcare system utilizing deep convolutional networks for automated skin lesion segmentation and dermatological risk classification.
Team Members:
Research Project: Analysis and Detection of Fraudulent Transactions Using the PaySim Financial Simulator
Research Project: Malware Feature Extraction of Instruction Frequency
Research Project: Malware Feature Extraction via Machine Learning Algorithm
Research Project: ElderlyCare — an Android-based Elderly Health Assistance Application
Research Project: Detection and Defense of Vulnerability in OpenSSL
Research Project: Correlation Attack on Geffe Generator
Research Project: Chess Game Development
Career Outcomes
Graduates mentored in the lab progressing to top global advisories, software tech leaders, and corporate research centers.
Ernst & Young Advisory Services Sdn. Bhd.
Maxwell Cloud Technology Sdn. Bhd.
China ASEAN Information Harbor
Beijing Megvii Corporation, Ltd.
Returnstar Interactive Technology
Zoho Technology Co., Hangzhou
Meiya Pico, Xiamen Software Park
Academic & Research Partner Universities
