Ahmet Soylu

Ahmet Soylu is a researcher at Oslo Metropolitan University, Norway, with a focus on Semantic Web, Knowledge Graphs, and Machine Learning applications in Cloud Computing and Smart Manufacturing. His work bridges semantic technologies with data-driven solutions for industrial contexts, particularly in collaboration with Bosch.

• Key research themes: Knowledge Graph Embeddings, Cloud Cost Optimization, Industrial Data Analytics
• Collaborations: Dumitru Roman, Evgeny Kharlamov, Radu Prodan

Recent publications (2024–2025) explore hyperbolic knowledge graph embeddings, sustainable LLM inference, and cloud storage optimization. These works integrate semantic modeling with ML for edge-cloud systems and industrial data extrapolation.

His methodology emphasizes graph-based approaches for cloud cost modeling, microservice scheduling, and AI innovation discovery in open-source repositories. Applications include welding quality monitoring, maritime supply chain optimization, and semantic ML pipelines.