Mainak Biswas

Associate Professor

Dr Mainak Biswas, PhD, computer scientist with specialization in application of machine learning and deep learning in biomedical domain. His research is inspired from providing an effective solution for computer aided diagnosis for diverse diseases. His PhD specialization was in application of advanced machine learning and deep learning in complex tissue characterization and segmentation from ultrasound images of liver and carotid arteries. His other interests are development of advanced machine learning architectures and early warning systems for risk estimation of both symptomatic and asymptomatic patients at high risk of CVDs. He also has keen interest in development of new metrics for Machine Learning algorithms based on statistical mechanics. He has published and presented more than 30 papers in the area of characterization and segmentation of ultrasound images through machine and deep learning platforms. His H-index is 16, and he has more than 1700 citations on his research. One of his review paper “The Present and Future of Deep Learning in Radiology” has more than 300 citations. Dr. Mainak Biswas completed B.Tech from Government College of Engineering and Ceramic Technology under West Bengal University of Technology, Kolkata, M.Tech from Jadavpur University and PhD from National Institute of Technology Goa, INDIA. Currently, he is serving as Associate Professor at Kalinga Institute of Industrial Technology.

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Educational Qualification
Coordinator, MICVU

Research Interests
Machine Learning and Deep Learning
Books :
1. Biswas, M., & Suri, J. S. (2022). Multimodality Imaging, Volume 1: Deep learning applications, IOP Publishing.
2. Biswas, M., & Suri, J. S. (2023). Multimodality Imaging, Volume 2: Heart, lungs and peripheral organs, IOP Publishing.