SSA Research GroupSSA Research LabJunaid Akram
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2023–2027 (Session FA23)·Dr. Junaid Akram

Supervised Student Project

Running2023–2027 (Session FA23)BS Software Engineering

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.

Vulnerability PatchingProgram RepairLLM Optimization
Students

Urwa KamalFA23-BSE-190

Maha KhawarFA23-BSE-073

Laiba AmirFA23-BSE-067

Supervision

Dr. Junaid AkramLead Supervisor

Institution

Automated Program RepairCOMSATS University Islamabad, Lahore Campus

Implementation evidence & interfaces

Interactive Visual Showcase

Use slideshow controls, arrows, or thumbnails to explore architecture and UI layers.

Slide 1 of 2LLM Vulnerability Patch Recommendation Poster
LLM Vulnerability Patch Recommendation Poster

Supervised Projects Portfolio

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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.

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Completed software vulnerability management platform aggregating CVE repositories, automated severity scoring, and code vulnerability tracking across enterprise projects.

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Automatic Patching of Similar Code Fragments

Develop a tool that propagates an approved security patch to matching vulnerable fragments across repositories that reuse the affected source code.

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