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Rajkrishan Ghosh

Student As: PhD with Prof. Debdoot Sheet since 2020

rajkrishanghosh@kgpian.iitkgp.ac.in

Research Area:
Deep Learning based Simulators for Medical Imaging



Description :

Projects: 
1.Fast simulation of ultrasound images using multilinear separable deep convolution neural network with kernel dilation
2.Calm mind: an application focused on mental peace and relaxing
3.Study of noise and its tolerance in microwave tomography for a human sized model
4.Accelerometer based wireless hand gesture controlled wheelchair using arduino

Publications:
1.Ghosh, R.K., Banerjee, A., Aich, P., Basu, D. and Ghosh, U., 2022. Intelligent IoT for Automotive Industry 4.0: Challenges, Opportunities, and Future Trends. In Intelligent Internet of Things for Healthcare and Industry (pp. 327-352). Springer, Cham.
2.Banerjee, A., Ghosh, R.K., Basak, S. and Dey, A., 2022. COVID-19 Pandemic: Theory, Concepts and Challenges. In Understanding COVID-19: The Role of Computational Intelligence (pp. 3-29). Springer, Cham.
3.Banerjee, A. and Ghosh, R.K., 2021. Artificial Intelligence Techniques in Medical Imaging for Detection of Coronavirus (COVID-19/SARS-COV-2): A Brief Survey. Intelligent Data Analysis for COVID-19 Pandemic, pp.255-289.
4.Ghosh, R.K., Samanta, S. and Purkait, K., 2019. Study on the Effect of Noise in Microwave Tomography. Indian Science Cruiser, 33(3), pp.15-18.