Ongoing:

1.	Project Title: Visvesvaraya Young Faculty Research Grant Funding Agency (Scheme): Visvesvaraya Ph.D. Scheme, MeitY-GoI Research Contingency Fund: 17, 50,000/- Date of Start: Jan, 2018 Duration: 3 Years 6 Months (2018 - 2021)
2.	Project Title: Development of a Real-time Image Super-resolution System using Parallel Processing Hardware for Remote Sensing Applications Funding Agency (Scheme): ISRO (RESPOND) Total Fund: 25, 79,000/- Date of Start: August, 2017 Duration: 3 Years + Extended (2017 - 2021)

Completed:

1.	Project Title: Development of Parallel Processing Embedded Hardware for Super-resolution of Diffusion weighted and Spectroscopic Magnetic Resonance Images Funding Agency (Scheme): AICTE (RPS) Total Fund: 16, 47,059/- Date of Start: October, 2017 Duration: 3 Years (2017 - 2020) Major Findings: Single image super-resolution based on sparse representations over a learned overcomplete dictionary for DW and MRS images. Single image super-resolution based on sparse representations based coupled overcomplete dictionaries are learnt using DW and MRS images and utilized them to extract a priori HR information. MR image super-resolution reconstruction using sparse representation on patch-wise of high-resolution patches from low-resolution feature patches pairs. MR image super-resolution reconstruction not only exploits the sparsity of MR image but also utilize the non-local self-similarity of patches of the input LR image as prior knowledge. Hardware implemented using the GP-GPU based parallel along with sequential for real clinical applications of MR images. No. of Publications: 03
2.	Project Title: Design and Development of Compressed Sensing Based Image Reconstruction Prototype Hardware Architecture for Medical Imaging Applications Funding Agency: DST-SERB Total Fund: 15, 08,000/- Duration: 3 Years (July, 2012 - July, 2015) Major Findings: A 1-D/2-D FFT hardware implementation using the pipeline CORDIC algorithm on the embedded FPGA development board for obtaining complex k-space data from MR images A pipelined architecture for the efficient implementation of OMP algorithm on FPGA
3.	Project Title:Development of Compressed Sensing Based Image Reconstruction Techniques for Medical Imaging Applications Funding Agency:UGC Total Fund:12, 25,800 /- Duration:3 Years (+ 6 months extended) (September, 2012 - December, 2015) Major Findings: A variable density undersampling pattern for Compressed Sensing MRI A high throughput reconstruction technique for compressed sensing based MRI Multi-slice MR image reconstruction using fast interpolated compressed sensing An efficient MR image reconstruction technique by weighted wavelet tree sparsity No. of Publications: 05