Professor Bhabesh Deka
FIETE, SM-IEEE, MIE
Educational Qualifications:
- Ph. D. in Image Processing from IIT Guwahati in 2011
- M. Tech. in Electronics Design & Technology from Tezpur University, Assam in 2001
Area of Specialization/ Research:
- Image Processing
- Computer Vision
- Biomedical Signal/Image Analysis using Machine/Deep Learning
Teaching:
- Principles of Communication
- Image Processing
- Computer Vision
- Biomedical Signal Processing
- Sparse Representations in Signal and Image Processing
- Linear Algebra and Convex Optimization
- Digital Image Processing
- Machine Vision
Research Publications (Recent Publications):
- Bhabesh Deka, Helal Uddin Mullah, Sumit Datta, Vijaya Lakshmi, and Rajarajeswari Ganesan, Sparse Representation Based Super-Resolution of MRI Images with Non-Local Total Variation Regularization, SN Computer Science, Springer, 2020.
- Sushant Kumar, Bhabesh Deka, and Sumit Datta, Multichannel ECG Compression using Block Sparsity based Joint Compressive Sensing, Circuits, Systems and Signal Processing, 2020.
- Bhabesh Deka, Sumit Datta, Helal Uddin Mullah and Suman Hazarika, Diffusion-weighted and Spectroscopic MRI Super-resolution using Sparse Representations, Biomedical Signal Processing and Control, vol. 60, 2020.
- Bhabesh Deka , Helal Uddin Mullah and A V V Prasad, Fast Multispectral Image Super-resolution via Sparse Representation, IET Image Processing, 2020.
- Bhabesh Deka and Sumit Datta, Calibrationless Joint Compressed Sensing Reconstruction for Rapid Parallel MRI, Biomedical Signal Processing and Control, vol. 58, 2020.
- Bhabesh Deka, Sparse representations and compressive sensing in multi-dimensional signal processing, CSI Transactions on ICT, Springer, pp. 1-10, 2019.
Papers in Conference Proceedings:
- Sushant Kumar, Bhabesh Deka and Sumit Datta, Weighted Block CS for Multichannel Fetal ECG Reconstruction, in TENCON 2019-IEEE Region 10 Conference, 2019, India
- Sumit Datta and Bhabesh Deka, Interpolated Compressed Sensing for Calibrationaless Parallel MRI Reconstruction, in 25th National Conference on Communications (NCC), Bangalore, 2019
- Helal Uddin Mullah and Bhabesh Deka, Parallel Multispectral Image Super-resolution Based on Sparse Representations, in 2nd International Conference on Innovations in Electronics, Signal Processing and Communication (IESC), Shillong, 2019
- 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, 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.
Other Publications (Books/ Book Chapters, etc.):
Text/Edited Books:
- Bhabesh Deka, P. Maji, S. Mitra, D. K. Bhattacharyya, P. K. Bora, and S. K. Pal (Eds.), Pattern Recognition and Machine Intelligence, Lecture Notes in Computer Science (LNCS) book series, Springer, vol. 11941 and 11942, 2019.
- 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, DOI: 10.1007/978-981-13-3597-6
Book Chapters:
- Dipen Deka, Bhabesh Deka, Investigation on HRV Signal Dynamics for Meditative Intervention, Soft Computing: Theories and Applications, Springer, pp. 993-1005, 2020.
- Sushant Kumar, Bhabesh Deka and Sumit Datta, Multi-channel ECG Reconstruction based on Joint Compressed Sensing for Healthcare Applications, Compressed Sensing in Healthcare (Academic Press), Elsevier, pp. 185-200, 2020.
- Sumit Datta and Bhabesh Deka, Calibrationless Parallel Compressed Sensing Reconstruction for Rapid Magnetic Resonance Imaging, Compressed Sensing in Healthcare (Academic Press), Elsevier, pp. 269-281, 2020.
- 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.
- Bhabesh Deka, Helal Uddin 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.
Research Projects:
- Visvesvaraya Young Faculty Research Grant, funded by Visvesvaraya Ph.D. Scheme, MeitY-GoI (Budget: Rs. 10, 00,000 /-(Granted) out of 25, 00,000/- (Sanctioned); 2018 - 2023)
- Development of a Real-time Image Super-resolution System using Parallel Processing Hardware for Remote Sensing Applications, funded by ISRO (RESPOND) (Budget: Rs. 25, 79,000/-;
2017 - 2020)
- Development of Parallel Processing Embedded Hardware for Super-resolution of Diffusion weighted and Spectroscopic Magnetic Resonance Images, funded by
AICTE (RPS) (Budget: Rs. 16, 47,059/-; 2017 - 2020)
Awards/ Honours, etc.:
- Recognised Ph.D. Supervisor of Queen's University Belfast (QUB), UK under the Joint PhD Programme of QUB-Tezpur University MoA.
- Elevated to IEEE Senior Member Grade by IEEE USA in May 2018
- Young Faculty Research Fellowship (YFRF) of Visvesvaraya Ph.D. programme under Ministry of Electronics and Information Technology (MeitY), GoI for 5 years w.e.f. 31 Jan. 2018
- DST-SERB First Track Project for Young Scientists in Engineering Sciences, 2012
- Visiting Faculty under NER FIST-DST Programme to the Department of Electrical Engineering, Indian Institute of Scince, Bangalore during 21 Jan - 20 Feb, 2009.
