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About

Michail Makridis is a pioneering researcher at the intersection of complex systems theory and future mobility. His work centers on two transformative areas: the formalization of **antifragility** in dynamical systems and the integration of **connected and automated vehicles (CAVs)** into intelligent transport networks. Makridis’s most significant contribution is his 2024 paper, “Antifragility in complex dynamical systems” (25 citations), which provides a precise, mathematical definition of antifragility—a property where systems gain strength from volatility and disorder. This work offers a groundbreaking framework for designing resilient infrastructure, moving beyond mere robustness to systems that actively improve under stress. In applied research, his 2022 paper on “Robotic Competitions to Design Future Transport Systems” (3 citations) demonstrates how competitive robotics, exemplified by the JRC AUTOTRAC 2020 event, can accelerate innovation in CAV coordination for safer, more efficient traffic flow. Makridis’s impact lies in bridging abstract complexity theory with tangible engineering challenges, providing both a conceptual lens and practical tools for building adaptive, next-generation transport systems. His work is essential reading for researchers exploring resilience, automation, and the future of urban mobility.