Ivan Guevara
Papers
2
Total Citations
38
H-Index
2
About
Ivan Guevara is a leading researcher at the forefront of interoperability and model-driven engineering for complex cyber-physical systems (CPS). His work directly confronts the central challenge of Industry 4.0: enabling seamless communication across heterogeneous systems. Guevara’s seminal paper, "The Interoperability Challenge: Building a Model-Driven Digital Thread Platform for CPS" (2021, 30 citations), establishes a foundational framework for creating a unified digital thread—a critical step for managing the lifecycle of complex system-of-systems. He extends this vision in his 2022 work (8 citations), which provides a practical use case for model-driven engineering within these platforms, highlighting both the immense potential and the future hurdles of orchestrating ecosystems that blend IoT, robotics, and AI. By proposing a platform-based approach to solve the interoperability problem, Guevara is not just theorizing; he is building the architectural blueprints for the next generation of smart manufacturing and autonomous systems. His contributions are essential reading for any engineer or researcher working to tame the complexity of our increasingly connected world.
Research Focus
Key Achievements
Top Papers
- 1
- 2