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About

Thomas Parissis is a leading researcher at the intersection of marine robotics, digital twin technology, and ecosystem monitoring. His most cited work, "A digital-twin strategy using robots for marine ecosystem monitoring" (2025), introduces a groundbreaking framework that integrates autonomous robotic systems with real-time digital replicas of marine environments. This approach enables continuous, high-resolution observation of underwater ecosystems, addressing critical gaps in traditional monitoring methods. By leveraging FAIR data principles, Parissis ensures that all raw and processed data—including physical sensor data from the Obsea observatory—are publicly accessible, fostering open science and reproducibility. His contributions have already garnered 3 citations in a short time, signaling growing influence in the field. Parissis’s work is notable for its practical impact: the digital-twin strategy not only enhances the accuracy of ecological assessments but also reduces the need for costly, invasive field campaigns. For students and researchers, his research exemplifies how robotics and data science can converge to tackle pressing environmental challenges, from climate change impacts to biodiversity loss. Parissis continues to push boundaries in marine technology, making him a key figure to watch in the evolving landscape of ocean observation.