Krakow, Poland

Krzysztof Misan

This inventor holds 1 USPTO granted patent. Top assignee: Dell Products Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Krzysztof Misan. Retrieved from https://idiyas.com/inventor/krzysztof-misan

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 = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Krzysztof Misan: Innovator in Response Time Estimation

Introduction

Krzysztof Misan is a notable inventor based in Krakow, Poland. He has made significant contributions to the field of technology, particularly in the area of response time estimation using advanced neural networks. His innovative approach has garnered attention in the tech community.

Latest Patents

Krzysztof holds a patent for a method titled "Response time estimation using sequence-to-sequence deep neural networks." This patent involves a sophisticated process that includes receiving a first workload data set, identifying workload portions, generating initial vectors, and processing a context vector to produce data points in a response curve of a storage system. He has 1 patent to his name.

Career Highlights

Krzysztof is currently employed at Dell Products Inc., where he applies his expertise in neural networks and data processing. His work focuses on enhancing the efficiency and accuracy of response time estimations in storage systems.

Collaborations

Krzysztof has collaborated with notable colleagues such as Ron Arnan and Gil Ratsaby. Their combined efforts contribute to the advancement of technology in their respective fields.

Conclusion

Krzysztof Misan is a pioneering inventor whose work in response time estimation showcases the potential of deep learning technologies. His contributions continue to influence the tech industry and inspire future innovations.

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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