Omar H. Shaban
Papers
2
Total Citations
8
H-Index
2
About
Omar H. Shaban is a researcher specializing in astronomical instrumentation, radio mapping algorithms, and robotic telescope network operations. His most significant contribution is the development of the Skynet Algorithm for single-dish radio mapping, which introduces a novel weighted modeling approach to interpolate signal measurements. This technique improves upon traditional weighted averaging methods by smoothing data without blurring structures beyond instrumental resolution, enabling cleaner mapping and photometry of small-scale celestial features. His 2019 paper on this algorithm has accumulated 6 citations, reflecting its utility in radio astronomy data reduction. Shaban also contributed to the evolution of the Skynet robotic telescope network, originally built in 2004 with six 0.4 m telescopes in Chile for simultaneous multi-wavelength gamma-ray burst observations. His 2022 work on the Campaign Manager observing mode demonstrates his role in expanding the network’s operational capabilities. Through these efforts, Shaban has advanced both the technical infrastructure and data analysis methods that support time-domain and radio astronomy research.
Research Focus
Key Achievements
Top Papers
- 1
- 2Skynet’s New Observing Mode: The Campaign Manager2 citations · 2022