I am a third-year Ph.D. student in Computer Science at Georgia Institute of Technology, and I am fortunate to be advised by Matthew Gombolay.

I am interested in developing novel techniques that can improve the performance of Large Language Models (LLM) for generating and understanding code and 3D models. My long-term research goal is to build intelligent systems that can assist engineers, developers, and designers in streamlining their tasks. My current research at the CORE lab involves building intelligent systems that assist in manufacturing.

Selected Papers: Full list

1. Kamel Alrashedy, Vincent Hellendoorn, Alex Orso, “Learning Defect Prediction from Unrealistic Data”. Accepted at SANER 2024 (acceptance rate = 25.6%)

2. Kamel Alrashedy and Abdullah Aljasser “Can LLMs Patch Security Issues?”. ArXiv preprint arXiv:2312.00024