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.