Royston, United Kingdom

Timothy Dale

This inventor holds 1 USPTO granted patent. Top assignee: Sartorius Stedim Data Analytics Ab. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Timothy Dale. Retrieved from https://idiyas.com/inventor/timothy-dale-nolt0pd2

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


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Timothy Dale

Introduction

Timothy Dale is a notable inventor based in Royston, GB. He has made significant contributions to the field of image processing through his innovative patent. His work focuses on enhancing image resolution using advanced computational methods.

Latest Patents

Timothy Dale holds a patent for a "Computer-implemented method, computer program product and system for processing images." This invention provides a method for processing images by down-sampling a plurality of first images with a first resolution to obtain second images with a second resolution. Additionally, it involves training an artificial neural network model to process an input image and produce an output image with a higher resolution than the input image.

Career Highlights

Timothy is currently employed at Sartorius Stedim Data Analytics AB, where he applies his expertise in image processing. His innovative approach has positioned him as a valuable asset in the field of data analytics.

Collaborations

Timothy collaborates with Rickard Sjögren, contributing to advancements in their shared field of expertise.

Conclusion

Timothy Dale's work in image processing exemplifies the impact of innovation in technology. His patent reflects a commitment to enhancing image quality through computational methods.

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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