Despina Tomkou
Papers
1
Total Citations
9
H-Index
1
About
Despina Tomkou is a pioneering researcher at the intersection of Extended Reality (XR), Large Language Models (LLMs), and industrial knowledge transfer. Her work centers on developing intelligent, conversational agents that bridge the gap between human expertise and digital environments, with a particular focus on solving real-world challenges in manufacturing and engineering. Her most-cited paper, "Bridging Industrial Expertise and XR with LLM-Powered Conversational Agents" (2025, 9 citations), introduces a groundbreaking system that integrates Retrieval-Augmented Generation (RAG) enhanced LLMs into XR platforms. This innovation allows domain-specific industrial knowledge to be embedded directly into immersive experiences, enabling workers to access expert guidance through natural language interactions. By combining the contextual awareness of RAG with the spatial capabilities of XR, Tomkou’s work addresses critical knowledge transfer bottlenecks in industries where hands-on expertise is scarce. Her research has been recognized for its potential to revolutionize training, maintenance, and remote collaboration, earning her early citations and attention from both academic and industrial sectors. Tomkou’s contributions exemplify how cutting-edge AI and immersive technologies can democratize specialized knowledge, making her a rising voice in human-computer interaction and applied AI research.
Research Focus
Key Achievements
Top Papers
- 1