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2023–2027 (Session SP23)·Dr. Junaid Akram

Supervised Student Project

Running2023–2027 (Session SP23)BS Software Engineering

Software Vulnerability Detection using LLM Model

A running research project leveraging Large Language Models (LLMs) to detect complex software vulnerabilities in source code through fine-tuning and AST-based prompt engineering.

Vulnerability DetectionLarge Language ModelsSource Code Security
Students

Syed Muhammad Irtaza ShahidSP23-BSE-156

Muhammad WaleedSP23-BSE-134

Muhammad Muneeb AzharSP23-BSE-125

Supervision

Dr. Junaid AkramLead Supervisor

Institution

Software Security ResearchCOMSATS University Islamabad, Lahore Campus

Supervised Projects Portfolio

More Supervised Projects

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Full-Stack & Systems

MegiLance — AI and Blockchain-Powered Freelancing Platform

A supervised final-year engineering development project combining a full-stack freelancing marketplace with AI decision assistance and blockchain payment escrow.

Ghulam Mujtaba, Muhammad Waqar Ul MulkView Case Study
Vulnerability & Security

Token-Based Semantic Code Clone Detection

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.

Ali Muhammad, Ali Murtaza, Hafiz Muhammad Shams ul HudaView Case Study
Vulnerability & Security

LLM-based Software Vulnerability Patch Optimizer

A running research project developing an automated patch optimization engine powered by LLMs that synthesizes and verifies security patch suggestions for vulnerable code snippets.

Urwa Kamal, Maha Khawar, Laiba AmirView Case Study