Assistant Professor, Department of Instrumentation and Electronics Engineering
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Field of Specialization
Stochastic computing, image processing and microelectronics and vlsi
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Conference Papers Published (8)
Title of the paper Conference Year Role Vol Number-Page Name

A Low Latency Stochastic Square Root Circuit 34th International Conference on VLSI Design (VLSID) 2021 Mitra S, Banerjee D, Naskar MK. -7-12
Synthesis of stochastic functions in presence of varied degrees of correlation International Conference on VLSI, Communication and Signal Processing, MNIT Allahabad ( VCAS 2021) 2021 Mitra S, Banerjee D, Banerjee S, Naskar MK. -
SynCGAN: Using learnable class specific priors to generate synthetic data for improving classifier performance on cytological images Cornell University 2020 S Dey, S Das, S Ghosh, S Mitra, S Chakrabarty, N Das -
Extreme Learning Machine based Classification Of Tibetan Characters using CG based HOG features CALCON 2020 2020 A Dey, S Mitra -
Identification of Malignancy from Cytological Images Based on Superpixel and Convolutional Neural Networks Intelligent Computing Paradigm: Recent Trends 2019 S Mitra, S Dey, N Das, S Chakrabarty, M Nasipuri, MK Naskar -103-122
Journal Papers Published (3)
Title of the paper Journal of publication Year Role Vol Number-Page Name

FPGA implementation of fast square root algorithm with tunable accuracy International Journal of Embedded Systems, Inderscience Publishers. (SCIE, Scopus Indexed) 2022 Mitra S, Dutta A., Sikdar S, Naskar MK. -61-68
Niblack binarization on document images: Area ef ficient, low cost, and noise tolerant stochastic architecture International Journal of Pattern Recognition and Artificial Intelligence 2021 Mitra S, Santosh KC, Naskar MK. 35(04)-2154013
Cytology Image Analysis Techniques Toward Automation: Systematically Revisited ACM Computing Surveys (CSUR) 2021 Mitra S, Das N, Dey S, Chakraborty S, Nasipuri M, Naskar MK. 54(3)-1-41
Books Published (1)
Book Title Publisher Name Year Role

Identification of Malignancy from Cytological Images based on Superpixel and Convolutional Neural Networks - special issue Intelligent Computing Paradigm: Recent Trendsby Mitra S, Dey S, Das N, Chakrabarty S, Nasipuri M, and Naskar M. K. Studies in Computational Intelligence, Springer Nature 2019
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