HOSEIN ABDOLLAHI

I am an undergraduate researcher in Computer Science at Shahid Chamran University of Ahvaz, ranked first in my Computer Science program, working at the intersection of machine learning and large language models. My research investigates the reasoning and reliability of LLMs and agentic AI systems — how these models fail, why they fail, and how to design methods that remain sound where conventional approaches do not.

I am currently developing two papers in this area, including one on applying machine learning to industrial control systems (ICS). A single thread runs through this work: the edge cases and failure modes that standard algorithms quietly ignore. I am less interested in models that perform well on benchmarks than in understanding the conditions under which they break — and in building systems that hold up under exactly those conditions.

This research is grounded in hands-on engineering. I work across the ML stack (PyTorch, TensorFlow, scikit-learn, XGBoost) and the modern LLM toolkit (RAG, agentic frameworks, Ollama), and I build the end-to-end systems that carry models from experiment to deployment (Django, FastAPI, SQL/NoSQL). I have also served as a teaching assistant in my faculty.