Dr Santanu Roy | Computer Vision | Best Researcher Award
Assistant Professor at Pandit Deendayal Energy University , India
Dr. Santanu Roy is a dedicated researcher and educator specializing in medical image processing and computer vision. With a Ph.D. from NITK Surathkal, he has developed innovative algorithms for cancer detection using deep learning techniques. His passion for advancing healthcare through technology is reflected in his extensive research publications and teaching experience across various esteemed institutions.
Profile
Education Qualification ๐
- Ph.D. in Medical Image Processing
NITK Surathkal, India (July 2016 โ August 2021)
Thesis: Algorithms for Color Normalization and Nuclei Segmentation of Liver Cancer Histopathology Images
CPI: 9.00/10.0 - M.Tech in Information and Communication Technology
Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, India (July 2009 โ June 2011) - B.Tech in Electronics and Communication Engineering
St. Thomas College of Engineering and Technology, WBUT Kolkata, India (June 2004 โ May 2008)
Percentage: 77.71%
Experience ๐ผ
Dr. Roy has held various academic positions, including Assistant Professor in the CSE Department at NIIT University (Sept 2023 – July 2024) and Christ (Deemed to be University) (Oct 2022 – Sept 2023). He also served as a Teaching Assistant at NITK Surathkal, contributing to projects in liver cancer diagnosis. His teaching experience spans subjects like deep learning, machine learning, and digital image processing.
Research Interest ๐
Dr. Royโs research interests focus on medical image processing, computer vision, and image classification using deep learning. He is particularly dedicated to enhancing diagnostic techniques in healthcare through innovative computational methods.
Upcoming Projects
- AI-Driven Diagnostic Tools: Building on his work with liver cancer histopathology images, Dr. Roy aims to develop AI tools that can assist in real-time diagnosis across various medical imaging modalities.
- Telemedicine Solutions: A project aimed at leveraging computer vision technologies to enhance telemedicine services, making healthcare more accessible, especially in rural areas.
- Virtual Lab Expansion: Dr. Roy plans to expand the Virtual Lab initiative, enhancing its offerings and providing more students with opportunities to engage in impactful AI research.
Awards and Achievements ๐
- Best Paper Presentation Award at the 15th International Conference on Machine Vision (ICMVโ2022), Rome, Italy (2023).
- Full-time Ph.D. Scholarship from NITK Surathkal (2016-2021).
- GATE EC 2009: All India Rank 2883.
- GATE EC 2008: All India Rank 4885.
Publications ๐
- Attention-based VGG-Lite Model and Novel Pooling Technique for Pneumonia and Covid-19 Detection from Imbalanced CXR Dataset
IEEE Transactions on Emerging Topics in Computational Intelligence (2023)- Under minor revision.
- SVD-CLAHE Boosting and Balanced Loss Function for Covid-19 Detection from an Imbalanced Chest X-Ray Dataset
Computers in Biology and Medicine (2022) - Novel Edge Detection Technique for Nuclei Segmentation of Liver Cancer Histopathology Images
Journal of Ambient Intelligence and Humanized Computing (2023) - Mathematical Analysis of Histogram Equalization Techniques for Medical Image Enhancement
Multimedia Tools and Applications (2024) - A Novel Color Normalization Method for Hematoxylin and Eosin Stained Histopathology Images
IEEE Access (2019)- Google Citations: 31.
- A Study About Color Normalization Methods for Histopathology Images
Micron (2018)- Google Citations: 160.