Goker
About
I'm Goker, a computer engineer and PhD candidate in Computer Engineering at Yildiz Technical University. My research sits at the intersection of machine learning, information retrieval, and system optimization, with a focus on how search systems behave and how they can be improved for accessibility, usability, and performance.
What I work on
- Machine Learning & Deep Learning for real-world systems
- Information Retrieval and search engine behavior analysis
- NLP and text-focused modeling workflows
- Accessibility and usability signals in ranking and navigation
- Evaluation, reproducibility, and data-driven system optimization
What you’ll find on this site
This website is a curated archive of my academic outputs and research artifacts:
- Publications: conference papers, articles, and technical reports
- Codes: reproducible implementations, experiments, and utilities
- Models: trained checkpoints and research prototypes (when shareable)
- Datasets: curated datasets used in my studies and evaluations
Whenever possible, I aim to provide enough context to make each artifact reusable: problem framing, methodology, and practical notes for replication.
Collaboration
I’m open to research collaboration and constructive discussions—especially around IR evaluation, search behavior analysis, accessibility, and applied ML systems.
Vision
Technology evolves through understanding—of models, data, and the systems and behaviors around them. Through my work, I aim to contribute precise, reliable tools and insights that advance both academic research and practical AI.