Unai Elordi
Papers
1
Total Citations
7
H-Index
1
About
Unai Elordi is a researcher at the forefront of intelligent systems and edge computing, with a primary focus on the secure and efficient deployment of deep neural networks (DNNs) across heterogeneous IoT platforms. His most cited work, "Designing Automated Deployment Strategies of Face Recognition Solutions in Heterogeneous IoT Platforms" (2021, 7 citations), addresses the critical challenge of optimizing face recognition (FR) solutions for diverse devices—from robots to smartphones—while ensuring robust security and performance. This contribution is pivotal for enabling real-time, privacy-preserving AI at the edge, bridging the gap between advanced DNNs and resource-constrained hardware. Elordi’s research has direct implications for smart environments, autonomous systems, and IoT security, making him a key figure in the evolution of distributed AI. His work not only advances technical deployment strategies but also underscores the importance of scalability and trust in modern AI systems, earning recognition among peers for its practical impact in the rapidly growing field of edge intelligence.
Research Focus
Key Achievements
Top Papers
- 1