Sudipta Roy
Jio Institute, Washington University in Saint Louis, University of Calcutta
About
Sudipta Roy is working as an assistant professor in Artificial Intelligence & Data Science at Jio Institute, Navi Mumbai. Prior to that, he was a postdoctoral research associate at Washington University in St. Louis, MO, USA. Currently, he had also served as an Associate Editor of IEEE Access (IEEE) for 6 years, International Journal of Computer Vision and Image Processing (IJCVIP-IGI Global), and topic editor of Journal of Imaging (MDPI). In recognition of his exceptional contributions to the IEEE access journal as associate editor, the IEEE Access Editorial Board and Editorial Office honored him as an Outstanding Associate Editor of 2020 and 2021. His fields of research interests are biomedical image analysis, image processing, steganography, artificial intelligence, big data analysis, machine learning, and big data technologies.
Contact email: [email protected]; [email protected];
Employment
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Jio Institute Assistant Professor2021 - Present
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Washington University in Saint Louis2018 - 2021
Education
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University of Calcutta PhD2014 - 2018
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University of Calcutta M.Tech2011 - 2013
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University of Calcutta B.Tech2008 - 2011
Projects & Funding
Projects & funding information is unavailable.
Publications (114)
- A weighted ensemble transfer learning approach for melanoma classification from skin lesion images Save
- Colon Disease Diagnosis with Convolutional Neural Network and Grasshopper Optimization Algorithm Save
- A Fully Connected Reproducible SE-UResNet for Multiorgan Chest Radiographs Segmentation Save
- An Explainable AI based Clinical Assistance Model for Identifying Patients with the Onset of Sepsis Save
- Exploring deep learning for carotid artery plaque segmentation: atherosclerosis to cardiovascular risk biomarkers Save
- Tourism recommendation system: a survey and future research directions Save
- Tumor Localization and Classification from MRI of Brain using Deep Convolution Neural Network and Salp Swarm Algorithm Save
- Weakly Supervised Confidence Aware Probabilistic CAM multi-Thorax Anomaly Localization Network Save
- Attention UW-Net: A fully connected model for automatic segmentation and annotation of chest X-ray Save
- Multi-Controller Model for Improving the Performance of IoT Networks Save