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NIIT UNIVERSITY
Dr Santanu Roy

Dr Santanu Roy

  • Assistant Professor
  • Computer Science and Engineering
Dr Santanu Roy
Dr. Santanu Roy earned his PhD degree in Medical Image Processing from NITK Surathkal, in 2021. He completed his MTech from Dhirubhai Ambani Institute of Information & Communication Technology (DA-IICT), Gandhinagar in ICT branch, in 2011.

He received Bachelor of Technology from St. Thomas College of Engineering & Technology (WBUT), Kolkata, in ECE branch, in 2008. The central component of his research has been Medical Image Processing, more specifically in Medical Image Classification (or disease detection) by Deep Learning or Machine Learning models. He is a Machine Learning enthusiast and he has many research publications in top Q1 Journals and in top-tier premier conferences in the world including ICPR, EUSIPCO, ACM/ SIGAPP, etc. In his last endeavor, he has worked as an assistant professor in Christ (Deemed to be University) Bangalore.

Besides that, he founded the ‘Virtual Lab’, in 2021, which is a non-profit R&D Lab, that collaborated with IITs, IIITs. He has been awarded “Best Technical Paper Presentation Award” in ICMV’2022 (SPIE), held in Rome, Italy in 2022. He has been the reviewer of top Q1 Journals like Nature Scientific Reports, IEEE Transactions on Medical Imaging, IEEE Access etc. and top IAPR premier conferences like ICPR, ICPRS, CVIP etc.

Qualifications

  • PhD (Medical Image Processing)
  • MTech (ICT)
  • BTech (ECE)

Experience

  • Total – 9+ Years
  • Industry – 0.5 Years
  • Research – 5+ Years
  • Teaching – 4+ Years

Courses taught

  • Machine Learning
  • Deep Learning
  • AI in Health Care
  • Neural Network
  • Digital Image Processing
  • Pattern Recognition
  • Data Communication and Network
  • Digital Logic Design
  • Statistical Foundation of Machine Learning
  • Wireless Communication

Research Area(s)

  • Medical Image Diagnosis using Deep Learning
  • Medical Image Processing
  • Computer Vision task using Deep Learning
  • Disease detection by Gene data
  • Natural Language Processing (fake news detection)

Consulting Area

  • Medical Image Processing
  • AI in health care
Selected Publications
  • Santanu Roy, Mrinal Tyagi, Vibhuti Bansal, Vikas Jain, "SVD-CLAHE boosting and balanced loss function for Covid-19 detection from an imbalanced Chest X-Ray dataset." Page 5 | 1 Computers in Biology and Medicine, (Elsevier Publications), Impact Factor: 7.7, Indexed by SCIE and Scopus, pp: 106092, October, 2022. Among top 12% Q1 Journals (doi: https://doi.org/10.1016/j.compbiomed.2022.106092)
  • Santanu Roy, Kanika Bhalla, Rachit Patel, “Mathematical Analysis of Histogram Equalization Techniques for Medical Image Enhancement: A Tutorial from the Perspective of Data Loss", Multimedia Tools and Applications, (Springer Nature publications), Impact Factor: 3.6, Indexed by SCIE and Scopus, Best Quartile: Q1, October, 2023. (doi: https://doi.org/10.1007/s11042-023-15799-8)
  • Santanu Roy, D. Das, Shyam Lal, Jyoti R. Kini, “Novel Edge Detection Technique for Nuclei Segmentation of Liver Cancer Histopathology Images", Journal of Ambient Intelligence and Humanized Computing, (Springer Nature Publications), Impact Factor: 3.662, Indexed by SCIE and Scopus, Best Quartile: Q1, pp: 479-496, Jan, 2023. (doi: https://doi.org/10.1007/s12652-021-03308-4)
  • Santanu Roy, Rahul Khurana, “Mobile Freeze-Net with Attention-based Loss Function for Covid-19 Detection from an Imbalanced CXR Dataset”, 38th ACM/SIGAPP Symposium on Applied Computing (SAC’2023), Venue: Tallinn, Estonia, Sponsored by ACM, (doi: https://doi.org/10.1145/3555776.3577825)
  • Mrinal Tyagi, Santanu Roy, Vibhuti Bansal, “Custom Weighted Balanced Loss function for Covid-19 Detection from CXR Dataset”, 26th International Conference on Pattern Recognition (ICPR’2022), Venue: Montreal, Canada, Sponsored by IAPR, Co- sponsored by IEEE Computer Society, (doi: 10.1109/ICPR56361.2022.9956580)

Publications

  • Santanu Roy, Rahul Khurana, “Mobile Freeze-Net with Attention-based Loss Function for Covid-19 Detection from an Imbalanced CXR Dataset”, 38th ACM/SIGAPP Symposium on Applied Computing (SAC’2023), Venue: Tallinn, Estonia, Sponsored by ACM, (doi: https://doi.org/10.1145/3555776.3577825)
  • Mrinal Tyagi, Santanu Roy, Vibhuti Bansal, “Custom Weighted Balanced Loss function for Covid-19 Detection from CXR Dataset”, 26th International Conference Page 4 | 1 on Pattern Recognition (ICPR’2022), Venue: Montreal, Canada, Sponsored by IAPR, Co-sponsored by IEEE Computer Society, (doi: 10.1109/ICPR56361.2022.9956580)
  • Santanu Roy, Shubhajit Panda, Mahesh Jangid, “Modified Reinhard Algorithm for Color Normalization of Colorectal Cancer Histopathology Images”, 29th European Signal Processing Conference (EUSIPCO’2021), IEEE sponsored, Venue: Dublin, Ireland, ISBN: 978-9-0827-9706-0, pp: 1231-1235.
  • Santanu Roy, Rahul Khurana, Vikas Jain, “Log-Base2 of Gaussian Kernel for Nuclei Segmentation from Colorectal Cancer H and E-Stained Histopathology Images”, 15th International Conference on Machine Vision (ICMV’2022), Scopus Indexed, SPIE sponsored (https://doi.org/10.1117/12.2679250) - received Best paper presentation award.
  • Santanu Roy, Vibhuti Bansal, “Histogram Matching based Data-Augmentation and Its Impact on CNN model for Covid-19 and Pneumonia Detection from Radiology Images”, 8th IAPR international conference on Computer Vision and Image Processing (CVIP’2023)
  • Santanu Roy, Mrinal Tyagi, Vibhuti Bansal, Vikas Jain, "SVD-CLAHE boosting and balanced loss function for Covid-19 detection from an imbalanced Chest X-Ray dataset." Computers in Biology and Medicine, (Elsevier Publications), Impact Factor: 7.7, Indexed by SCIE and Scopus, pp: 106092, October, 2022.
  • Santanu Roy, Kanika Bhalla, Rachit Patel, “Mathematical Analysis of Histogram Equalization Techniques for Medical Image Enhancement: A Tutorial from the Perspective of Data Loss", Multimedia Tools and Applications, (Springer Nature publications), Impact Factor: 3.6, Indexed by SCIE and Scopus, October, 2023.
  • Santanu Roy, D. Das, Shyam Lal, Jyoti R. Kini, “Novel Edge Detection Technique for Nuclei Segmentation of Liver Cancer Histopathology Images", Journal of Ambient Intelligence and Humanized Computing, (Springer Nature Publications), Impact Factor: 3.662, Indexed by SCIE and Scopus, pp: 479-496, Jan, 2023. (doi: https://doi.org/10.1007/s12652-021-03308-4)
  • Santanu Roy, Shyam Lal, Jyoti R. Kini, “A Novel Color Normalization Method for Hematoxylin and Eosin stained Histopathology Images", IEEE Access (IEEE), IF: 3.367, Indexed by SCI and Scopus, Vol. 7, pp: 28982-28998, February, 2019.
  • Santanu Roy, Alok K Jain, S. Lal, Jyoti R. Kini, “A Study about Color Normalization Methods for Histopathology Images”, Micron (Elsevier Publisher), IF: 1.782, Indexed by SCI and Scopus, Vol. 114, pp:42-62, November, 2018.

Consultancy

  • Founder of Virtual Lab (collaborated with TUM Germany, IIIT)

Awards & Recognition

  • Received the “Best Paper Presentation Award” at the “15th International Conference on Machine Vision (ICMV’2022)", held in Rome, Italy, in November 2022.

Professional Activities & Achievements

  • Reviewer of top Q1 Journals IEEE Transactions on Medical Imaging, Nature Scientific Reports, Plos One, IEEE Access etc.
  • Reviewer of top IAPR premier conferences like ICPR, ICPRS, CVIP etc.
  • Delivered a talk at “Virtual Congress on Breast Cancer Research, in Europe, 2020”.

Other Interests

  • Photography
  • Painting
  • Trekking & travelling
  • Playing chess (participated in school level inter-district chess championship)
  • Reading - philosophy, psychology, quantum physics
  • Attended programs in Art of Living, Yoga.

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