George K. Thiruvathukal, PhD#
Welcome to the web site of George K. Thiruvathukal, PhD.
I am Professor and Chairperson in the Computer Science department at Loyola University Chicago. I also hold a Visiting Computer Scientist appointment at Argonne National Laboratory.
For more information about me and my work/interests, see About Me.
News#
Saturday, December 27, 2025: PTM Naming: Why “What’s in a Name” Actually Matters for AI Reuse
I’m thrilled to share some recent work led by Wenxin Jiang, a PhD student at Purdue University. Wenxin is supervised by James C. Davis, and I have had the pleasure of serving as a key external supervisor and PhD committee member on this project as part of my ongoing collaboration with Dr. Davis. This research was recently accepted for publication in Journal of Empirical Software Engineering and it tackles a problem that anyone working in AI has likely grumbled about: how we name our models.
Saturday, November 29, 2025: Advancing HPC Education with an Agentic Tutoring System (EduHPC 2025)
This post highlights a recent EduHPC 2025 paper doi:10.1145/3731599.3767386 led by my PhD student Erik Pautsch and co-supervised by me and Silvio Rizzi at Argonne National Laboratory.
Saturday, November 22, 2025: Extracting High-Quality Audio from YouTube for Music Practice
Blog Post Artificial Intelligence
Sunday, February 23, 2025: Special Issue on Low-Code/No-Code + Metaverse in IEEE Computer
Low-code/no-code is increasingly converging with the metaverse to reshape how we create and experience technology. As AI-driven tools automate significant portions of coding and power immersive virtual environments, organizations can achieve new efficiencies—provided that security, ethics, and user empowerment remain central.
Wednesday, February 05, 2025: TLA+ for All: Running Model Checking in a Python Notebook
TLA+ has long been a powerful tool for designing and verifying complex systems. However, many students and practitioners have felt excluded by the ecosystem’s complexity, the need to install multiple tools, or the misconception that formal methods are only for specialists. This project aims to change that.