“Sepideh Ghaziasgar”


IPM Positions

Research Assistant , School of Astronomy


Research Interests

Machine learning applications in astronomy, Multiwavelength observations, Deep imaging, Galaxy formation and evolution, Star formation, Stellar evolution, Dust production.

Present Research Project at IPM

Classification of dusty stellar sources using spectroscopic and multiwavelength observations through machine learning

Related Papers

1. S. Ghaziasgar, M. Abdollahi, A. Javadi, J.Th. van Loon, I. McDonald, J. Oliveira and H. Khosroshahi
Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier
71 (2024),   [abstract]
Code: IPM/A-2024/63
[Back]   
scroll left or right