
AI and ML for Cybersecurity Offense and Defense
Our work leverages AI, ML, and LLMs to address evolving cybersecurity challenges across both offensive and defensive domains.
ML- and LLM-based phishing email and URL detection
An interdisciplinary research group exploring machine learning, human - AI interaction, and systems for the next generation of intelligent technology.
Focus areas
We combine theory, systems, and human - centered design to build AI that is reliable, interpretable, and aligned with real-world constraints.
We develop methods at the intersection of machine learning, security, and communication systems—from robust models to next-generation wireless.
We work with academic partners, industry, and students through shared tooling, reproducible experiments, and transparent reporting.
Our projects target education, healthcare, and infrastructure—places where careful AI deployment can improve outcomes at scale.
Research
A snapshot of active directions - cybersecurity, education, wireless systems, and more.

Our work leverages AI, ML, and LLMs to address evolving cybersecurity challenges across both offensive and defensive domains.
ML- and LLM-based phishing email and URL detection

We explore how AI and LLMs can transform teaching and learning through scalable, personalized, and ethical educational technologies.
AI-powered Teaching Assistants for large-scale classroom support

Our healthcare-focused research applies AI and LLMs to improve patient outcomes, equity, and decision support.
Bias and robustness analysis of LLMs for health-related queries
People
Graduate and undergraduate researchers driving experiments, prototypes, and publications.

Pursuing a B.S. in Computer Science at TCU. Rahul's research focuses on adversarial attacks using LLMs and finding impact of AI on undergraduate education.

Pursuing a B.S. in Computer Science at TCU. Gabby is working on generating real world cyberattacks using LLMs and finding defense strategies.

Pursuing a B.S. in Computer Science at TCU. His research focus is developing AI-powered tutoring tools for students.
We welcome collaborators, visiting researchers, and motivated students. Reach out to discuss projects, partnerships, or lab opportunities.