This inventor holds 1 USPTO granted patent. Top assignee: Fisher-Rosemount Systems, Inc. Active years: 2001.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2001
Title: Manish Misra: Innovator in Data Compression Technology
Introduction
Manish Misra is a notable inventor based in Austin, TX, who has made significant contributions to the field of data compression technology. His innovative approach focuses on enhancing data storage and communication processes through advanced techniques.
Latest Patents
Manish holds a patent for a "Recursive on-line wavelet data compression technique for use in data storage and communications." This technique allows for real-time data compression as data points are received, eliminating the need for extensive storage of uncompressed data. The system includes a data receiver that processes data points sequentially and a compression tree computation device that calculates approximation and detail coefficients from the incoming data. This method enables efficient on-line data compression, making it particularly useful in process control networks.
Career Highlights
Manish Misra is currently employed at Fisher-Rosemount Systems, Inc., where he applies his expertise in data compression technologies. His work has been instrumental in developing solutions that optimize data handling and storage.
Collaborations
Throughout his career, Manish has collaborated with talented professionals, including Shailesh Kumar and Terrence L Blevins, contributing to various innovative projects in the field.
Conclusion
Manish Misra's contributions to data compression technology exemplify his commitment to innovation and efficiency in data management. His work continues to influence advancements in the industry, showcasing the importance of inventive solutions in modern technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
