Junaid Akram

About SSA Lab & Collaborations

Pioneering Source-Code Security Assessment & AI-Driven Software Reliability

Q: Who is Dr. Junaid Akram?

Dr. Junaid Akram is an Assistant Professor of Computer Science and an HEC-approved PhD supervisor leading the Software Security Assessment (SSA) Research Lab at COMSATS University Islamabad, Lahore Campus. He earned his PhD in Software Engineering from Tsinghua University and completed postdoctoral research at SnT, University of Luxembourg.

Q: What are Dr. Junaid Akram's primary research domains?

His primary research areas include source-code software vulnerability detection, LLM-based automated program repair, semantic code clone analysis, Android and IoT malware defense, software testing, and DevSecOps.

Q: What institutions are affiliated with Dr. Junaid Akram?

Dr. Junaid Akram has been affiliated with Tsinghua University (PhD), University of Luxembourg / SnT (Postdoc), SES Satellites Luxembourg (Visiting Researcher), Xiamen University Malaysia (Assistant Professor), and COMSATS University Islamabad, Lahore Campus (Assistant Professor).

Q: Where can I view Dr. Junaid Akram's verified research profiles?

You can verify Dr. Junaid Akram's scholarly profiles on ORCID (0000-0003-1752-6124), Google Scholar (user=JunaidAkram), DBLP, ResearchGate, and the official COMSATS University faculty portal.

The Software Security Assessment (SSA) Research Lab unites academic rigor, global international partnerships, and industrial applications to discover software vulnerabilities, synthesize security patches, defend against malware, and automate software verification.

0B+

Lines of Code Analyzed

Indexed on Hadoop MapReduce

Open-Source Repos Scanned

SQVDT Vulnerability Engine

High-Impact Publications

Applied Soft Computing, IEEE, IET

Researchers & Students Mentored

PhD, MS & BS Engineering Graduates

Core Principles

Research Pillars & Technological Capabilities

Source-Level Vulnerability Intelligence

Indexing, matching, and tracing software vulnerabilities through AST fingerprints, patch diff signatures, and multi-terabyte code similarity lookup.

AI & LLM-Driven Program Repair

Leveraging Large Language Models, in-context learning, and Graph Neural Networks (GNN) for automated security patch synthesis and refactoring.

Automated Verification & Software Testing

Search-based test data generation, model-based satellite CPS testing, BDD test smell detection, and log-based regression test slicing.

Obfuscation & Malware Ensemble Defense

Token-based obfuscated code clone identification and advanced ensemble machine learning frameworks defending Windows, Android, and IoT systems.

Lab Evolution & Story

Research Journey & Key Milestones

Explore how SSA Lab evolved from big-data source analytics at Tsinghua University to satellite CPS testing at SnT Luxembourg and AI-driven program repair at COMSATS.

Tsinghua Era Tsinghua University — Key Lab of Info System Security (Beijing, China)

Foundations & Distributed Code Intelligence

Engineered distributed static code analysis engines indexing over 324 billion lines of code on Hadoop MapReduce and scanning 152k+ open-source repositories.

Built IBFET — MapReduce inverted token index scaling clone detection across 324B+ LOC.
Developed SQVDT — Multi-terabyte C/C++ static vulnerability fingerprinting platform.
Pioneered DroidSD — Obfuscated Android clone detection across 30,500 application APKs.
Conferred PhD from Tsinghua University and published in IEEE ICST, IET InfoSec, and JISE.

LOC: 324B+

REPOS: 152K+

PAPERS: 5+

Academic & Research Partner Universities