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About

Santiago Gil is a researcher specializing in Digital Twin (DT) technology, with a particular focus on cooperative robotic systems and model-based engineering. His work addresses one of the most pressing challenges in the field: how to systematically design, compose, and deploy Digital Twins for complex, multi-stakeholder environments. Gil's landmark 2023 paper on composed Digital Twins in cooperative systems, which has garnered 14 citations, introduced a structured modeling approach that bridges the gap between physical systems and their digital counterparts, enabling enhanced monitoring, optimization, and decision-making. Building on this foundation, his 2024 contributions advanced the field further — proposing a systematic reporting framework to standardize DT experience sharing across practitioners, and pioneering the integration of robotic skills directly into Digital Twin architectures. His most recent work explores co-simulation-driven Digital Twins, tackling the challenge of harmonizing heterogeneous simulation models developed across multiple stakeholders. With a growing citation record reflecting rapid community uptake, Gil is emerging as a key voice in defining how Digital Twins can be made more rigorous, interoperable, and practically deployable in next-generation cooperative robotics systems.