Rohit Thakur

Title: Rohit Thakur - Innovator in Hyperspectral Data Analysis

Introduction

Rohit Thakur is a notable inventor based in Noida, India. He has made significant contributions to the field of hyperspectral data analysis through his innovative patent. His work focuses on utilizing deep convolutional neural networks (DCNN) to enhance the understanding of spectral features in hyperspectral data.

Latest Patents

Rohit Thakur holds a patent titled "Method and system for learning spectral features of hyperspectral data using DCNN." This invention provides a method and system that analyzes pixel vectors by transforming them into a two-dimensional spectral shape space. The system performs convolution over the image of the graph formed, enabling the conversion of pixel vectors into images. The DCNN architecture he developed is specifically designed for processing the 2D visual representation of pixel vectors to learn spectral features and classify pixels. This method allows for the conversion of spectral signatures into shapes, which are then decomposed using hierarchical features learned at different convolution layers of the DCNN.

Career Highlights

Rohit Thakur is currently employed at Tata Consultancy Services Limited, where he applies his expertise in data analysis and machine learning. His innovative approach to hyperspectral data has positioned him as a valuable asset in his field.

Collaborations

Rohit has collaborated with notable colleagues, including Shailesh Shankar Deshpande and Balamuralidhar Purushothaman. These collaborations have further enriched his work and contributed to advancements in the analysis of hyperspectral data.

Conclusion

Rohit Thakur's contributions to the field of hyperspectral data analysis through his innovative patent demonstrate his commitment to advancing technology. His work not only enhances the understanding of spectral features but also showcases the potential of deep learning in data analysis.