An Explainable Machine Learning Model to Analyze and Detect Fake Currency
May 26, 2023·
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0 min read
J Parnika
Dr. Snigdha Sen
Rayavarapu Sri Divya
S.S. Deepika
V Dharshini
Type
Publication
2023 International Conference on Communication, Circuits, and Systems, IC3S 2023

Authors
Senior Assistant Professor, School of Computer Engineering
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.