Jon Goenetxea
Papers
1
Total Citations
7
H-Index
1
About
Jon Goenetxea is a researcher at the forefront of deploying artificial intelligence in resource-constrained environments, with a core focus on computer vision, embedded systems, and the Internet of Things (IoT). His most cited work, "Designing Automated Deployment Strategies of Face Recognition Solutions in Heterogeneous IoT Platforms" (2021), tackles the critical challenge of optimally distributing deep neural networks (DNNs) across a diverse array of devices—from robots to smartphones. This research addresses key bottlenecks in security and performance, proposing automated strategies that balance computational load and accuracy. With over 7 citations, this paper highlights his impact in bridging the gap between high-performance AI models and real-world, low-power hardware. Goenetxea’s contributions are particularly notable for advancing practical, scalable solutions for face recognition in heterogeneous systems, making him a key figure in the evolution of intelligent, decentralized IoT applications. His work continues to inspire efficient AI deployment in edge computing.
Research Focus
Key Achievements
Top Papers
- 1