Stuttgart, Germany

Mahdi Najmabadi

This inventor holds 1 USPTO granted patent. Top assignee: Universitãt Stuttgart. Active years: 2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mahdi Najmabadi. Retrieved from https://idiyas.com/inventor/mahdi-najmabadi

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Mahdi Najmabadi: Innovator in Data Compression Technology

Introduction

Mahdi Najmabadi is a notable inventor based in Stuttgart, Germany. He has made significant contributions to the field of data compression technology. His innovative approach has led to the development of a unique method for compressing input data sets.

Latest Patents

Najmabadi holds a patent for a "Method, device, and computer program product for compressing an input data set." This invention involves several steps, including determining tolerance ranges for input values, generating encoded lossy values, and producing output values through decoding. The method also includes generating difference values, comparing them with tolerance ranges, and creating encoded correction values. This comprehensive approach enhances the efficiency of data compression.

Career Highlights

Mahdi Najmabadi is affiliated with the Universität Stuttgart, where he continues to advance his research and development in data compression. His work has garnered attention for its innovative techniques and practical applications in various industries.

Collaborations

Najmabadi collaborates with esteemed colleagues such as Sven Simon and Thomas Richter. Their combined expertise contributes to the advancement of technology in their respective fields.

Conclusion

Mahdi Najmabadi's contributions to data compression technology exemplify the impact of innovative thinking in solving complex problems. His patent and ongoing work at Universität Stuttgart highlight his role as a key figure in this important area of research.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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