Sabyasachi Mukhopadhyay
PhD Research Scholar at IIT Kharagpur
SPIE Involvement:
Author
Area of Expertise:
Signal Processing , Biomedical Imaging , Machine Learning , Quantum Machine Learning , Biophotonics , Deep Learning
Websites:
Profile Summary

Sabyasachi Mukhopadhyay is a Ph.D. Research Scholar at the CCDS at IIT Kharagpur.He served as a university faculty member at MAKAUT (Govt of WB). He was also a project scientist at Nanoscope Technologies for a brief period. Mukhopadhyay received an MS in Physical Sciences at IISER Kolkata with the IISERK fellowship and was the ‘Topper’ of the 2015 batch.Mukhopadhyay delivered invited talks and served as a panelist and judge of hackathons in leading IITs, IISERs, NITs, IIEST Shibpur,and many leading state, and central universities of India.He also delivered invited talks at foreign universities like 'University of Global Village, Bangladesh','Université Kofi Annan de Guinée, Guinea','Gyalpozhing College of Information Technology, Bhutan' and so on.Sabyasachi’s research on biophotonics and AI-based cancer detection have been included in the current affair syllabus of India’s top Govt. official competitive exams like UPSC, IAS, IBPS, Banking, etc. Mukhopadhyay was also invited to deliver talks in ‘ATAL AICTE Faculty Development Programme’ of IEM Kolkata,CEM Kolaghat,NIT Mizoram,NIT Durgapur, and ‘Refresher Courses for Faculties in Calcutta University.He delivered an invited talk in several student induction programmes organized by the IT Department of MAKAUT, Calcutta University, IEM Kolkata, and Netaji Subhas Engineering College.He was also invited as a ‘Judge’ of the NASA Space Apps Challenge 2018 at the Heritage Institute of Technology in Kolkata.He delivered TEDx talks twice, at TEDxBalajiITS and TEDx HITKolkata.He wrote technical articles for the editorial of the leading Bengali daily, Anandabazar Patrika.He also wrote an invited article on AI applications for COVID-19 detection written in Bengali and published in Bigyan Katha (Page No. 16),a publication by Vigyan Prasar, an autonomous organization of DST, Govt. of India.Mukhopadhyay received an honorary mention in the government official site of 'The Embassy of India to Switzerland' for his research.
Publications (17)

Proceedings Article | 4 June 2018 Paper
Sabyasachi Mukhopadhyay, Sawon Pratiher, Sukanya Mukherjee, Debdeep Dasgupta, Nirmalya Ghosh, Prasanta Panigrahi
Proceedings Volume 10505, 1050512 (2018) https://doi.org/10.1117/12.2291538
KEYWORDS: Digital image correlation, Tissues, Feature extraction, Cancer, Image filtering, Denoising, Image denoising, Anisotropic diffusion, Diffusion, Image enhancement

Proceedings Article | 24 May 2018 Paper
Sawon Pratiher, Shubhobrata Bhattacharya, Sabyasachi Mukhopadhyay, Nirmalya Ghosh, Gautham Pasupuleti, Prasanta Panigrahi
Proceedings Volume 10679, 1067902 (2018) https://doi.org/10.1117/12.2300024
KEYWORDS: Tissues, Scattering, Convolutional neural networks, Cancer, Feature extraction, Neural networks, Diagnostics, Analytical research, Biological research, Convolution

Proceedings Article | 24 May 2018 Paper
Sawon Pratiher, Sabyasachi Mukhopadhyay, Sukanya Mukherjee, Ritwik Barman, Gautham Pasupuleti, Jay Chhablani, Prasanta Panigrahi
Proceedings Volume 10679, 1067906 (2018) https://doi.org/10.1117/12.2305454
KEYWORDS: Tissue optics, Tissues, In vivo imaging, Statistical analysis, Data analysis, Eye, Refractive index, Scientific research, Analytical research, Biological research

Proceedings Article | 17 May 2018 Paper
Sawon Pratiher, Sabyasachi Mukhopadhyay, Souvik Hazra, Ritwik Barman, Gautham Pasupuleti, Nirmalya Ghosh, Prasanta Panigrahi
Proceedings Volume 10685, 1068523 (2018) https://doi.org/10.1117/12.2307278
KEYWORDS: Tissues, Feature extraction, Artificial neural networks, Statistical analysis, Scattering, Spectroscopy, Laser scattering, Image information entropy, Machine learning, Laser systems engineering

Proceedings Article | 17 May 2018 Paper
Sabyasachi Mukhopadhyay, Sawon Pratiher, Sukanya Mukherjee, Gautham Pasupuleti, Ritwik Barman, Jay Chhablani, Prasanta Panigrahi
Proceedings Volume 10685, 106852Y (2018) https://doi.org/10.1117/12.2305447
KEYWORDS: Binary data, Machine learning, Image classification, Eye, Detection and tracking algorithms, In vivo imaging, Refractive index, Tissues, Visual process modeling, Statistical analysis

Showing 5 of 17 publications
Conference Committee Involvement (4)
International Conference on Recent Trends in Science & Technology (ICRTST 2013)
27 December 2013 |
National Workshop on Computational tools for Engineers
27 July 2013 |
National Workshop on Applied Optimization
29 June 2013 |
Numerical Techniques for Chemical and Biological Engineers
11 August 2012 |
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