Scholar
Selim F. Yilmaz
Google Scholar ID: R6Hwp20AAAAJ
Imperial College London
Citations & Impact
Citations
347
H-index
11
i10-index
11
Publications
20
Co-authors
13
list available
Publications
Resume (English only)
Research Experience
- Research Interests:
- - Deep Learning
- - Multi-User Semantic Communications
- - Information Theory & Data Compression
- - Large Language Models (LLMs)
Background
- AI researcher currently focusing on deep learning, data compression, multi-user semantic communications and large language models (LLMs).
Miscellany
- Technical Skills:
- - AI & Machine Learning: Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Large Language Models (LLMs), Diffusion Models, Multi-modal Learning, Federated Learning, Anomaly Detection, Information Theory, Neural Networks
- - Programming Languages: Python, JavaScript, TypeScript, Java, C++, C#, SQL, Matlab
- - ML/AI Frameworks & Tools: PyTorch, Scikit-learn, Hugging Face, OpenAI API, Model Context Protocol (MCP), Pandas, NumPy, Matplotlib, Seaborn, Jupyter
- - Software Engineering: Software Development, Web Development, Mobile Development, Open-Source Development, System Design, API Development
- - Data & Analytics: Data Science, Data Engineering, Data Visualization, Big Data Technologies, Statistical Analysis, MLOps, Data Pipeline Design
- - Cloud & DevOps: Cloud Computing, Docker, Kubernetes, CI/CD, Git, Linux, AWS, Azure, Model Deployment, Infrastructure as Code
- - Methodologies: Agile Development, Test-Driven Development, Code Review, Research Methodology, Technical Writing, Project Management
