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Diego Rincon-Yanez

Knowledge Graphs and Neuro-Symbolic AI · Trinity College Dublin

https://researchid.co/d1egoprog
@tcd.ie
21Scopus Publications
216Google Scholar Citations
8Google Scholar h-index
7Google Scholar i10-index

Research Interests

My current research is focused on Neuro-Simbolic AI solutions and architectures leveraging foundational Semantic Web Technologies and Knowledge Graphs and Embeddings in a wide number of tasks like knowledge exploitation, semantic integration and knowledge base...

Biography

A seasoned Computer Science researcher and engineer dedicated to advancing the field through a unique blend of academic expertise and hands-on deep technical industry experience. With over fifteen years of experience, I've worn multiple hats: University Professor, Researcher, IT Architect, CTO and Full-Stack Engineer for multiple organizations. I am currently stationed as a researcher at the Bosch Center for Artificial Intelligence in Germany, where I continue to explore the intersections of academia and industry. My current research interests are the Knowledge Graph Construction Methods within Neuro-Symbolic AI, Semantic-powered Smart Manufacturing, Synthetic triple Generation and knowledge graph Embeddings. Additionally, I have a small room in my heart for other computer-related domains such as distributed computing and high-performance computing.

Recent Scopus Publications

  1. Scaling NeuroSymbolic AI Integration for Seismic Event Detection
    Lecture Notes in Computer Science, 2026
  2. LLMs on the Rise: Neuro-Symbolic AI for Knowledge Graph Construction in Manufacturing: Systematic Literature Review
    IEEE Access, 2026
  3. Telemedicine-supported structured Orofacial Myofunctional Therapy model for Obstructive Sleep Apnea: Patients’ report outcomes measurements
    Respiratory Medicine, 2025
  4. Human-Oriented Fuzzy-Based Assessments of Knowledge Graph Embeddings for Fake News Detection
    Lecture Notes in Networks and Systems, 2025
  5. Injecting Knowledge Graph Embeddings into RAG Architectures: Scalable Fact-Checking for Combating Disinformation with LLMs
    Ceur Workshop Proceedings, 2025

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