New Delhi, India

Sharda Tripathi


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Sharda Tripathi: Innovator in Multivariate Data Compression

Introduction

Sharda Tripathi is a prominent inventor based in New Delhi, India. She has made significant contributions to the field of data compression, particularly through her innovative patent. Her work focuses on enhancing the efficiency of data transmission, which is crucial in today's data-driven world.

Latest Patents

Sharda Tripathi holds a patent for a "Multivariate data compression system and method thereof." This invention features a smart sensing architecture that includes smart meters and processing units. The smart meters generate and transmit multidimensional data streams to the processing units. A processing unit determines an optimum batch size for a multidimensional data stream and generates a multidimensional batch of data. The processing unit reduces the dimensionality of the multidimensional batch of data using principal component analysis to generate a low-dimensional batch of data. It then performs compressive sampling on the low-dimensional batch of data to create a compressed batch of data, thereby saving bandwidth during transmission. This innovative approach has the potential to revolutionize how data is managed and transmitted.

Career Highlights

Sharda Tripathi is affiliated with the Indian Institute of Technology Delhi, where she continues to contribute to research and development in her field. Her work has garnered attention for its practical applications and innovative methodologies.

Collaborations

Sharda has collaborated with notable colleagues, including Swades De and Mayukh Roy Chowdhury. These partnerships have further enriched her research and expanded the impact of her inventions.

Conclusion

Sharda Tripathi is a trailblazer in the realm of data compression, with her innovative patent showcasing her expertise and dedication to advancing technology. Her contributions are paving the way for more efficient data management solutions in the future.

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