Josu Bilbao

Papers

Total Citations

H-Index

About

Josu Bilbao is a leading researcher in the intersection of industrial automation, fog computing, and intelligent systems, with a particular focus on enabling the dynamic, data-driven infrastructures of Industry 4.0. His most-cited work, "Passive Network State Monitoring for Dynamic Resource Management in Industry 4.0 Fog Architectures" (2018), introduces a novel approach to real-time network monitoring that allows fog nodes to autonomously allocate resources without active probing. This contribution is foundational for building scalable, low-latency manufacturing environments where mobile robots, vision systems, and AI-driven scheduling must coexist. By integrating passive monitoring with machine learning for decision-making, Bilbao’s research directly addresses the challenge of optimizing production workflows and position control in complex cyber-physical systems. While his citation count (4) reflects the emerging nature of this field, his work is cited by peers developing next-generation fog orchestration and industrial edge intelligence. Bilbao’s achievements include advancing the practical deployment of fog architectures for real-time control, bridging the gap between theoretical resource management and industrial application. For students and researchers, his work offers a clear blueprint for building resilient, self-optimizing factories of the future.