Vyron Korpas Kamarianos is an accomplished Solution Architect and Senior Research Engineer with deep expertise in edge computing, distributed systems, and environmental data workflows. With a strong academic foundation in physics and electronic automation, and current doctoral research in edge computing at the National and Kapodistrian University of Athens, Vyron bridges academic theory with real-world technical implementation.
He currently holds dual roles: Senior Research Engineer at the University of Athens and co-founding partner at Division by Zero P.C., where he leads architectural design and the development of scalable, event-driven platforms. His work focuses on high-performance, modular systems with a strong emphasis on interoperability, automation, and orchestration across edge and cloud infrastructures.
Vyron plays a key role in several major European research initiatives, including EO4EU, TRACE, HYPER-AI, and HS4U. These projects aim to simplify access to Earth Observation (EO) data, integrate logistics through blockchain-enabled platforms, and revolutionize distributed computing using AI-driven edge-cloud ecosystems. His contributions include defining semantic models, engineering distributed nodes, and designing DSL-based workflow editors for EO applications.
He has published research in the field of EO system design and presented at international venues, including the prestigious IGARSS 2024 conference, where he co-authored work on domain-specific languages for EO workflows. His academic and technical output consistently reflects a drive toward practical innovation and solving complex integration challenges in data-intensive environments.
Expanding his interdisciplinary reach, Vyron has recently begun undergraduate studies in Molecular Biology and Genetics at the Democritus University of Thrace, underscoring his commitment to continuous learning and cross-domain exploration. His professional path is defined by system-level thinking, precision engineering, and a vision for leveraging technology to address large-scale scientific and societal challenges.