Sumit Datta

Dr. Sumit Datta is an Assistant Professor in the School of Electronic Systems and Automation, Digital
University Kerala (formerly known as 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, and Department of Medical Devices, National Institute of Pharmaceutical
Education and Research (NIPER), Guwahati, India as a Guest Faculty. 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.

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

Web of Science Researcher ID:  AAF-8993-2021

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. 1.  Ato Kapfo, Sumit Datta, Samarendra Dandapat and Prabin Kumar Bora, A wavelet subband based LSTM model for 12-lead ECG synthesis from reduced lead set”, Biomedical Engineering Letters, 2024

   2.  S. Kumar, S. Datta, V. Singh, D. Datta, S. Kumar Singh and R. Sharma, “Applications, Challenges, and Future Directions of Human-in-the-Loop Learning,” IEEE Access, vol. 12, pp. 75735-75760, 2024

   3. Sumit Datta, Joseph Suresh Paul, “Adaptive continuation based smooth l0-norm approximation for compressed sensing MR image reconstruction,” Journal of Medical Imaging, vol. 11, no. 3, pp.035003, 2024.

   4. S. Kumar, S. Datta, V. Singh, S. K. Singh and R. Sharma, “Opportunities and Challenges in Data-Centric AI,” IEEE Access, vol. 12, pp. 33173-33189, 2024

   5. S. Kumar, R. Sharma, V. Singh, S. Tiwari, S. K. Singh and S. Datta, “Potential Impact of Data-Centric AI on Society,” IEEE Technology and Society Magazine, vol. 42, no. 3, pp. 98-107, Sept. 2023

   6. Bhabesh Deka, Helal Uddin Mullah, Trishna Barman, and Sumit Datta, “Joint Sparse Representation-based Single Image Super-resolution for Remote Sensing Applications,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023.

   7. Bhabesh Deka, Sushant Kumar, and Sumit Datta, “Dictionary Learning-based Multi-Channel ECG Reconstruction using Compressive Sensing,” IEEE Sensors Journal, 2022.

   8. Sumit Datta, Samarendra Dandapat and Bhabesh Deka, “A Deep Framework for Enhancement of Diagnostic Information in CSMRI Reconstruction,” Biomedical Signal Processing and Control, vol. 71, 2022.

   9. Bhabesh Deka and Sumit Datta, “Calibrationless Joint Compressed Sensing Reconstruction for Rapid Parallel MRI,” Biomedical Signal Processing and Control, vol. 58, 2020.

   10. 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.

   11. Sushant Kumar, Bhabesh Deka, and Sumit Datta, “Multichannel ECG Compression using Block Sparsity based Joint Compressive Sensing,” Circuits, Systems & Signal Processing, 2020.

   12. Deka, B., Mullah, H.U., Datta, S. et al. Sparse Representation based Super-Resolution of MRI Images with Non-Local Total Variation Regularization. SN Computer Science. 1, 260 (2020).

   13. 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.

   14. 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.

   15. 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.

   16. 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. Ato Kapfo, Sumit Datta, Samarendra Dandapat, and Prabin Kumar Bora, “Artificial Neural Network based Synthesis of 12-lead ECG Signal from Three Predictor Leads,” in 3rd International Conference on Machine Intelligence and Signal Processing (MISP) 2021, 2021.

2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.

1. Sumit Datta, Bhabesh Deka, Samarendra Dandapat, Sushant Kumar, Arnab Majumder, “Enhancement of Diagnostic Information in T1-weighted Contrast Enhanced MRI using Deep Back-Projection based Super-Resolution,” in  IEEE 19th India Council International Conference (INDICON) 2022, 2022. 

2. Vazim Ibrahim, Sumit Datta, Alex P James, Joseph Suresh Paul, “Interleaved Hybrid Domain Learning for Super-Resolution MRI,” in  IEEE International Symposium on Circuits and Systems (ISCAS) 2022, 2022. 

3. Ato Kapfo, Sumit Datta, Samarendra Dandapat and Prabin Kumar Bora, “LSTM based Synthesis of 12-lead ECG Signal from a Reduced Lead Set,” in  IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES) 2022, 2022. 

4. 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.
5. 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.
6. 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
7. Sumit Datta and Bhabesh Deka, “Interpolated Compressed Sensing for Calibrationaless Parallel MRI Reconstruction,” in 25^th National Conference on Communications (NCC) 2019, IISc Bangalore, India
8. 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
9. 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
10. 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
11. 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.
12. 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