Fadil Inceoglu's Linkedin Analytics

My current research is on utilizing Machine Learning methods to generate correction algorithms for GOES-R satellites. Further, I use ML methods on the images of the Sun from ground and space based solar observatories, such as GOES-R, SDO, SOHO, and GONG, to identify magnetic activity structures like Coronal Holes, Active Regions, and Filaments. I also work on short-and long-term variations in solar activity from cosmogenic radionuclides, surface magnetograms, cosmic rays, and fully nonlinear flux transport dynamos using advanced analytical methods. In addition, I work on CubeSats and their scientific applications on Earth, Heliospheric, and Solar observations. Google Scholar: https://scholar.google.com/citations?user=i0OgfagAAAAJ&hl=en&oi=ao