Ruya Sanver
Undergraduate Researcher in Computer Science | Exploring the Mathematical Foundations of Intelligence
I am a Computer Science undergraduate with a deep interest in the theoretical underpinnings of computation and intelligence. My work bridges formal models (automata, Turing machines, Gödelian limits) with emerging paradigms in AI. I explore how complexity, chaos, and physics-inspired models shape our understanding of learning systems. I aspire to pursue graduate research at the intersection of mathematical logic, machine learning theory, and complex systems.
Research Interests
- Foundations and Limits of Computation
- Mathematical & Physical Models of Machine Learning
- Chaos, Randomness, and Emergent Dynamics in AI
Projects
FET Modeling with Machine Learning
Developing ML models for field-effect transistor behavior, focusing on preprocessing, benchmarking, and feature engineering for operating region classification.
Chaos and Computation
Exploring chaos theory and its implications for probabilistic automata and limits of computation, bridging computer science and mathematics.
Distributed GPU Orchestration
Proof-of-concept system for lightweight orchestration of idle academic GPUs with Dockerized ML workloads.
Blog Posts
- Everything I Want to Learn — An ongoing list of what I am in process of learning.
Highlights
- Research Internship — Sabancı University Program for Undergraduate Research: Worked on FET modeling.
- Tübitak-funded Project — Contributed to a research project on [short focus], developing skills in formal modeling and experimentation.