SUMIT DATTA

Research Interest

Medical Imaging and Signal Processing-MRI, OCT, Fundus, ECG, PCG , Satellite Image Enhancement, Underwater Acoustic Signal Processing, Convex Optimization, Deep learning, Parallel Computing, Edge AI

Bio

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

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

Publications

Journals

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.

Conferences

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.
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.
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.
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.
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.
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
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
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
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
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
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.
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

Books

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.
Bhabesh Deka and Sumit Datta, “Calibrationless Joint Compressed Sensing Reconstruction for Rapid Parallel MRI,” Biomedical Signal Processing and Control, vol. 58, 2020.
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.
Sushant Kumar, Bhabesh Deka, and Sumit Datta, “Multichannel ECG Compression using Block Sparsity based Joint Compressive Sensing,” Circuits, Systems & Signal Processing, 2020.
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.
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.
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.
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.
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