Gerardo Beruvides
Papers
3
Total Citations
50
H-Index
3
About
Gerardo Beruvides is a leading researcher at the forefront of smart manufacturing, specializing in Industrial Cyber-Physical Systems (ICPS) and condition-based monitoring for machine tools. His work directly addresses the factory of the future, developing architectures that enable real-time process monitoring, optimal parametrization, and self-reconfiguration of industrial equipment. Beruvides’s most influential paper, “Industrial cyber-physical system for condition-based monitoring in manufacturing processes” (2018), has garnered 26 citations, establishing a foundational framework for integrating advanced sensor systems into production lines. He further advanced the field with a condition-based monitoring architecture for CNC machine tools (17 citations), which leverages global knowledge to optimize digitalized solutions for traceability and product personalization. His 2019 work on visual analytics frameworks for cyber-physical systems (7 citations) tackles the critical challenge of reducing time-to-market by enabling data-driven decision-making. Beruvides’s contributions are pivotal for industries seeking to enhance competitiveness through connectivity and self-optimizing processes, making him a key figure in the evolution of intelligent, data-rich manufacturing environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3