IPM Positions

Research Assistant , School of Astronomy (2023 - Present )

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 , L. McDonald, J. Oliveira, A. Masoudnezhad, H. G.Khosroshahi, B. Foing and F. Fazel Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds Astrophysical Journal 986 (2025), 22  [abstract] Code: IPM/A-2025/20

2.	S. Ghaziasgar, M. Abdollahi, A. Javadi, J.Th. van Loon, I. McDonald, J. Oliveira and H. G. Khosroshahi Machine Learning Approach for the Spectral Classification of Dusty Stellar Sources in the Magellanic Clouds ComBAO 71 (2024), 377-382  [abstract] Code: IPM/A-2024/22

3.	S. Ghaziasgar, M. Abdollahi, A. Javadi, J.Th. van Loon, I. McDonald, J. Oliveira and H. G.Khosroshahi Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier ComBAO 71 (2024), 377-382  [abstract] Code: IPM/A-2024/63