Muhammad Qasim

MS Computer Science @ Wichita State University

LLM Security · Explainability · Trustworthy AI

Building secure and interpretable AI systems for high-stakes environments.

I am an MS Computer Science student at Wichita State University. My research investigates the internal mechanisms of large language models — how they reason, where that reasoning becomes vulnerable to adversarial manipulation, and how to build more robust safety monitors. Alongside this, I work as a Graduate Research Assistant at the National Institute for Aviation Research, applying RAG and NLP to aerospace systems.

Research interests

  • LLM Security

    Adversarial robustness of chain-of-thought monitoring, obfuscation and probe recovery.

  • Explainability

    Stability and faithfulness of explanations for reasoning models.

  • RL for Security

    Autonomous cyber defense in multi-agent adversarial settings.

  • Trustworthy AI

    Resilience and generalization of safety mechanisms.

News

Recent updates

  • Dec 2025

    Started as a Graduate Research Assistant at NIAR, working on aerospace digital twins with RAG and NLP tooling.

  • Aug 2025

    Began the MS in Computer Science at Wichita State University on a merit scholarship, with a 4.0 GPA so far.

  • 2025

    Ranked 304th globally in Google Code Jam and 118th of 536 teams at the MIT Informatics Tournament.

  • 2025

    Gave a talk on personal branding and careers in tech at Latest Trends in Technology, and mentored at the WordSprint Developers Hackathon.

  • 2025

    Graduated with a BS in Computer Science from the University of Agriculture, Faisalabad.