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Assistant Professor

Sumit Datta

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Dr. Sumit Datta

Assistant Professor

Biography

Dr. Sumit Datta is an Assistant Professor in the School of Electronic Systems and Automation, Digital University Kerala (Former IIITM-Kerala), India. Prior to joining DUK, he was with the Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, India as a Post-Doctoral Fellow. He received the B.Tech. degree in Electronics and Communication Engineering from the National Institute of Technology Agartala, India, in 2011, and the M.Tech. and Ph.D. in Electronics and Communication Engineering from the Tezpur University, India, in 2014 and 2019, respectively. His research interests include biomedical signal/image processing, compressed sensing MRI, super-resolution, medical image analysis using deep learning.

ORCID ID:  https://orcid.org/0000-0003-2481-8184

Web of Science Researcher ID:  AAF-8993-2021

Academic Qualifications

  • Ph.D. in Electronics and Communication Engineering from Tezpur University, India (2019)
  • M.Tech. in Bioelectronics (Dept. of ECE) from Tezpur University, India (2014)
  • B.Tech. in Electronics and Communication Engineering from NIT Agartala, India (2011)

Work Experience

  • Assistant Professor in the School of Electronic Systems and Automation, Digital University Kerala (Former IIITM-Kerala), from July 29, 2021
  • Post-Doctoral Fellow in the Department of EEE, IIT Guwahati from Nov. 28, 2019 to July 23, 2021:
  • Guest Faculty in the Department of Medical Devices, NIPER Guwahati from Jan. 5, 2021 to July 27, 2021
  • Project Fellow in the Department of ECE, Tezpur University from Aug. 2, 2013 to May 31, 2015

Areas of Interest

  • Compressed Sensing MRI
  • Image Super-Resolution
  • Biomedical Signal Processing
  • Medical Image Analysis using Deep Learning

Publications

Book:
  1. Bhabesh Deka and Sumit Datta, “Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms – A Convex Optimization Approach”, Springer Series on Bio- and Neurosystems, Springer Singapore, 2019
Journals:
  1. Bhabesh Deka and Sumit Datta, “Calibrationless Joint Compressed Sensing Reconstruction for Rapid Parallel MRI,” Biomedical Signal Processing and Control, vol. 58, 2020.
  2. Bhabesh Deka, Sumit Datta, Helal U. Mullaha, Suman Hazarika, “Diffusion-weighted and spectroscopic MRI super-resolution using sparse representations,” Biomedical Signal Processing and Control, vol. 60, 2020.
  3. Sushant Kumar, Bhabesh Deka, and Sumit Datta, “Multichannel ECG Compression using Block Sparsity based Joint Compressive Sensing,” Circuits, Systems & Signal Processing, 2020.
  4. Sumit Datta and Bhabesh Deka, “Efficient Interpolated Compressed Sensing Reconstruction

Scheme for 3D MRI,” IET Image Processing, vol. 12, no. 11, pp. 2119 – 2127, 2018.

  1. Bhabesh Deka, Sumit Datta, and Sanjeev Handique, “Wavelet Tree Support Detection for Compressed Sensing MRI Reconstruction,” IEEE Signal Processing Letters, vol. 25, no. 5, pp. 730-734, 2018.
  2. Sumit Datta and Bhabesh Deka, “Magnetic Resonance Image Reconstruction using Fast Interpolated Compressed Sensing,” Journal of Optics, Springer, vol. 47, no. 2, pp. 154-165, 2017.
  3. Bhabesh Deka, Maytree Handique and Sumit Datta, “Sparse Regularization Method for the Detection and Removal of Random-Valued Impulse Noise,” Multimedia Tools and Applications, Springer, vol. 76, no. 5, pp 6355–6388, 2016.

Book Chapters:
  1. Sumit Datta and Bhabesh Deka, “Calibrationless Parallel Compressed Sensing Reconstruction for Rapid Magnetic Resonance Imaging,” Compressed Sensing in Healthcare, Advances in ubiquitous sensing applications for healthcare, Elsevier, vol. 11, pp. 269-281, 2020.
  2. Sushant Kumar, Bhabesh Deka and Sumit Datta, “Multi-channel ECG Reconstruction based on Joint Compressed Sensing for Healthcare Applications,” Compressed Sensing in Healthcare, Advances in ubiquitous sensing applications for healthcare, Elsevier, vol. 11, pp. 185-199, 2020.
  3. Sumit Datta and Bhabesh Deka, “Group-Sparsity Based Compressed Sensing Reconstruction for Fast Parallel MRI,” Pattern Recognition and Machine Intelligence, LNCS, vol. 11942, pp. 70-77, 2019.
  4. Bhabesh Deka, Helal U. Mullah, Sumit Datta, Vijaya Lakshmi, and Rajarajeswari Ganesan, “Sparse Representation Based Super-Resolution of MRI Images with Non-Local Total Variation Regularization,” Pattern Recognition and Machine Intelligence, LNCS, Springer, vol. 11942, pp. 78-86, 2019.
  5. Sushant Kumar, Bhabesh Deka, and Sumit Datta, “Block-Sparsity Based Compressed Sensing for Multichannel ECG Reconstruction,” Pattern Recognition and Machine Intelligence, LNCS, Springer, vol. 11942, pp. 210-217, 2019.
  6. Sumit Datta and Bhabesh Deka, “Multi-channel, Multi-slice, and Multi-contrast Compressed Sensing MRI Using Weighted Forest Sparsity and Joint TV Regularization Priors,” Soft Computing for Problem Solving (SoCProS) , Advances in Intelligent Systems and Computing, Springer, vol. 816, pp. 821-832, 2018.
  7. Bhabesh Deka and Sumit Datta, “Weighted Wavelet Tree Sparsity Regularization for Compressed Sensing Magnetic Resonance Image Reconstruction,” Advances in Electronics, Communication and Computing Advances in Electronics, Communication and Computing, Lecture Notes in Electrical Engineering, Springer, vol. 443, pp. 449–457, 2016.
  8. Bhabesh Deka and Sumit Datta, “A practical under-sampling pattern for compressed sensing MRI,” Advances in Communication and Computing, Lecture Notes in Electrical Engineering, Springer, vol. 347, pp. 115–125, 2015.

Conferences

  1. Sumit Datta, Samarendra Dandapat and Bhabesh Deka, “A Novel Framework for Enhancement of Diagnostic Information in MRI using Deep Super-Resolution,” in IEEE International Conference on Applied Signal Processing (ASPCON) 2020, pp. 94-98, 2020.
  2. Sumit Datta, Vineeta Das, Samarendra Dandapat and Bhabesh Deka, “A Novel Framework for Enhancement of Diagnostic Information in MR Imaging using Super-Resolution,” in IEEE International Conference on Advanced Communication Technologies and Signal Processing (ACTS) 2020, pp. 1-6, 2020.
  3. Sushant Kumar, Bhabesh Deka and Sumit Datta, “Weighted Block Compressed Sensing for Multichannel Fetal ECG Reconstruction”, in International Technical Conference of IEEE Region 10: TENCON 2019, pp. 2324-2328, 2019
  4. Sumit Datta and Bhabesh Deka, “Interpolated Compressed Sensing for Calibrationaless Parallel MRI Reconstruction,” in 25th National Conference on Communications (NCC) 2019, IISc Bangalore, India
  5. Sumit Datta and Bhabesh Deka, “Efficient Adaptive Weighted Minimization for Compressed Sensing Magnetic Resonance Image Reconstruction,” in Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) 2016, IIT Guwahati, India
  6. Sumit Datta, Bhabesh Deka, Helal Uddin Mullah and Sushant Kumar, “An Efficient Interpolated Compressed Sensing Method for Highly Correlated 2D Multi-slice MRI,” in International Conference on Accessibility to Digital World (ICADW) 2016, Guwahati, India
  7. Sumit Datta and Bhabesh Deka, “Magnetic Resonance Image Reconstruction using Fast Interpolated Compressed Sensing,” in International Conference on Light and Light based Technologies (ICLLT) 2016, Tezpur, India
  8. Bhabesh Deka, Maitrayee Handique and Sumit Datta, “Random-Valued Impulse Denoising using Sparse Regularizations,” in International Conference on. Image Information Processing (ICIIP -2015), Shimla, India.
  9. Bhabesh Deka and Sumit Datta, “High Throughput MR Image Reconstruction using Compressive Sensing,” in Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) 2014, IISc Bangalore, India