abose@gitam.edu
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Ankita Bose is from Kolkata, West Bengal. She has received her Ph.D degree from University of Kalyani. She has qualified GATE 2012 and received MHRD scholarship to pursue M.Tech in computer science and engineering from University of Kalyani. She ranked 1st class first 1st in M.Tech in computer science and engineering. Her research is focused in the field of image processing, soft computing, pattern recognition and bioinformatics. She has published papers in esteemed journals and conferences.
Research Publications
- Bose, A. and Mali, K., 2021. Type-reduced vague possibilistic fuzzy clustering for medical images. Pattern Recognition, 112, p.107784.
- Bose, A. and Mali, K., 2016. Fuzzy-based artificial bee colony optimization for gray image segmentation. Signal, Image and Video Processing, 10(6), pp.1089-1096.
- Bose, A. and Mali, K., 2017, December. A two threshold model for shadowed set with gradual representation of cardinality. In 2017 14th IEEE India Council International Conference (INDICON) (pp. 1-6). IEEE.
- Bose, A. and Mali, K., 2019. Gray Scale Image Segmentation with Vague Set. In Computational Intelligence, Communications, and Business Analytics: Second International Conference, CICBA 2018, Kalyani, India, July 27–28, 2018, Revised Selected Papers, Part I 2 (pp. 95-105). Springer Singapore.
- Bose, A. and Mali, K., 2022, July. Mammogram image enhancement using a two-threshold model of shadowed set with gradual representation of cardinality. In 2022 IEEE Region 10 Symposium (TENSYMP) (pp. 1-6). IEEE.
Ongoing Research Projects
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Predicting sales for imported fruits by using machine learning model
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Neurological disorder prediction using deep learning
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Gesture prediction in smart environment
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Magnetic Genome Engineering for Realizing High-Temperature Ultrathin Two-dimensional Magnets: Experimental and Machine Learning Investigations
Expertise
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Image Processing
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Soft Computing
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Pattern Recognition
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Machine Learning
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Artificial Intelligence
