Performance evaluation of efficient interpretable CNN-transformer model for redshift prediction

Dr. Snigdha Sen is a Senior Assistant Professor in the School of Computer Engineering at Manipal Institute of Technology Bengaluru, MAHE, with around 16 years of teaching experience. Before joining Manipal she was an Associate Professor at Global Academy of Technology, Bengaluru. She holds a PhD from IIIT Allahabad, an M.Tech in Information Technology from Jadavpur University and a B.E. from UIT, University of Burdwan. Her research spans astroinformatics, deep learning, computer vision, explainable AI for space science and big data analytics. She has published over 40 SCI- and Scopus-indexed papers and is a life member of the Computer Society of India.