Ilya D. Fateev
Papers
1
Total Citations
2
H-Index
1
About
Ilya D. Fateev is a leading figure in computational astrophysics, specializing in exoplanet detection, time-domain astronomy, and the application of artificial intelligence to massive astronomical datasets. His most significant contribution is the development of novel algorithms for exoplanet transit searches within the MASTER Global Robotic Net archive—a vast repository spanning two decades of sky survey data. By integrating AI methods with the high-performance computing power of the Lomonosov supercomputer, Fateev has enabled the efficient mining of over 20 years of archival images (2003–2023), dramatically accelerating the discovery of transiting exoplanets. His 2024 paper on this methodology, already garnering citations, demonstrates the transformative potential of combining machine learning with supercomputing for big-data astronomy. Fateev’s work not only expands the frontier of exoplanet research but also establishes a scalable framework for future surveys, positioning him as a key innovator at the intersection of artificial intelligence, high-performance computing, and observational astrophysics.
Research Focus
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Top Papers
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