Simone Talarico
Papers
1
Total Citations
5
H-Index
1
About
Simone Talarico is a researcher whose work sits at the intersection of distributed simulation, digital twins, and autonomous systems engineering. Their most-cited paper, “Distributed Simulation for Digital Twins: an Application to Support the Autonomous Robotics for the Extended Ship” (2022, 5 citations), introduces a framework that uses digital twins to enhance real-time visibility and predictive understanding of complex systems—such as those in defense, manufacturing, and logistics. Talarico’s key contribution lies in demonstrating how distributed simulation can bridge the gap between physical assets and their virtual counterparts, enabling more resilient and autonomous operations in high-stakes environments like extended ship systems. By focusing on the “extended ship” concept, they address the challenge of coordinating autonomous robotics across distributed, interconnected platforms. Though early in their career, Talarico’s work has already garnered attention for its practical approach to integrating simulation and real-time data, offering a scalable pathway for industries reliant on complex, safety-critical systems. Their research is particularly valuable for students and engineers exploring how digital twins can move beyond static models to become dynamic, predictive tools for autonomous decision-making.
Research Focus
Key Achievements
Top Papers
- 1