I am a 2021 graduate from TIET. I am deeply invested in exploring new and impactful technologies.While I spend a majority of my time conducting research and freelancing, I make time to investigate some of the world's most wonderful inventions. Apart from these activities, I am a mass consumer of entertainment. Throughout my life, I have watched countless documentaries (been watching for 15+ wonderful years and going strong): everything from space to the deep-blue. Although, the accumulated knowladge has no direct impact on my day to day life, I feel richer and relaxed knowing that in the vast cosmos everything is ALWAYS working as intended.
I love to walk. Every new city I visit, I prefer to explore it on foot. I regularly walk 10+ miles thrice a week. I shall one day participate in walkathons and eventually graduate to marathons! I aim to take up hiking next. Moreoever, my favorite musical instrument is the classical bansuri.
My favorite people are:
My favorite songs are:
My favorite documentaries:
My favorite from YouTube:
I have previously worked on multiplier architectures and I currently working in the field of image denoising algorithms. My latest research investigations are related to application of neural networks in image denoising algorithms, especially, deep-networks and fuzzy-neuro networks. Towards this end I am completing the deep learning specialization by deeplearning.ai offered over coursera.
Min-Max Average Pooling Based Filter for Impulse Noise Removal
TIn this paper, I have developed an algorithm that uses a novel approach to the restoration of corrupted images. The approach uses novel image pooling methods to overcome general imperfections in state-of-the-art techniques while maintaining exceptional performance in high noise densities (>90%).
LORAx: A High-speed Energy-efficient Lower-Order Rounding-based Approximate Multiplier
With multiplier architectures, the problem has recently changed to the minimization of hardware energy consumption. Although most efforts previously developed utilize algorithms that minimize the power consumption, which in turn minimizes energy, we have proposed a method that achieves the energy consumption targets by increasing power but significantly reducing the circuit delays. Therefore, even though the design uses more power, energy utilization is reduced due to significant delay reductions.
Intensity Bound Limit Filter for Impulse Noise removal
The paper proposes a novel approach to the restoration of corrupted images using a modified version of the “sandwich theorem” to overcome general imperfections in state-of- the-art techniques while maintaining exceptional performance. The conceptual model of the proposed “Intensity Bound Limit Framework” allows for multiple solutions to exist for the same reference image which opens up the possibility of complete image restoration, this has also been shown mathematically.
Adaptive Radii Selection based Inpainting Methodfor Impulse Noise Removal
The paper proposed a novel approach to the use of existing image inpainting algorithms for image denoising efforts. A noise density based decision filter is developed that proves the possibility of repurposing inpainting algorithms for image denoising efforts.
A Flexible Dynamic Master-User Look-Up Table Approach for Evaluation of Trigonometric Values
Look-Up Tables have traditionally been shunned upon due to large space complexity as compared to modern hardware architectures. In this paper, we have proposed mechanisms and improvements to the traditional methods. This not only makes Look-Up Tables relevant in the field but also a competitive alternative to modern hardware architectures due to the unique trade-offs offered. Moreover, in contrast to established methods, the proposed scheme is designed for high scalability.
Although, I am able to create novel research ideas and produce good papers, I want to further improve the quality of my work and also work in an environment with likeminded people. Moverover, deep-learning based computer vision research has caught my interest and I plan to pursue this field. To achieve these goals I wish to enroll in a reseach oriented master's degree in some of the best vision labs in the world.
Moreoever, while I wait for that opportunity, I aim to tackle the final beast. I want to develop an idea and a beautiful complimenting paper that is impactful enough in the field to be published in the IEEE Transactions.
I work part-time as a freelance blockchain and python developer. My latest projects are realted to NFTs and the ERC721 standard. I am currently writing smart contract for an NFT collection from one of the freelance team's regular clients.
i have worked on several python projects and am familiar with basics of a few key frameworks. However, my freelance success is dedicated solely to my can-do attitude. Although, I often "bite off more than I can chew" with my deliverable commitments, I deliever great on-time results. I have recently started using UpWork and aim to develop my freelance porfolio in the coming months.