J. Cabello-Castillo

Papers

Total Citations

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About

J. Cabello-Castillo is a researcher specializing in the development of intelligent scheduling systems for heterogeneous robotic telescope networks, with a particular focus on citizen science and astronomy outreach. Their major contributions lie in creating decision-making algorithms that optimize telescope resource allocation across diverse, globally distributed observatories. The most notable work, "A fuzzy logic based decision algorithm for a heterogeneous telescope network" (2015), proposes an innovative algorithm that integrates user constraints, weather forecasts, visibility data, and statistical telescope performance to maximize the number of served observation requests. This fuzzy logic approach enables flexible, real-time decision-making in complex, multi-variable environments. Complementing this, the "GlSch" (Gloria Scheduler) system (2015) addresses the challenge of managing heterogeneous networks for citizen science, uniquely allowing integration with various third-party local schedulers to engage non-professional users in astronomical research. While each paper has garnered 2 citations, the work represents foundational contributions to automated telescope scheduling and accessible astronomy infrastructure. Cabello-Castillo’s research bridges computational intelligence and practical astronomy, enabling more efficient, user-friendly access to professional-grade telescopes for both scientists and the public.