Vancouver, Canada

Bill (Peng Hong) Chen

This inventor holds 1 USPTO granted patent. Top assignee: Sap Se. Active years: 2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Bill (Peng Hong) Chen. Retrieved from https://idiyas.com/inventor/bill-peng-hong-chen

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: 2021

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1 patent (USPTO):Explore Patents

Title: Bill (Peng Hong) Chen: Innovator in Context-Aware Data Systems

Introduction

Bill (Peng Hong) Chen is a notable inventor based in Vancouver, Canada. He has made significant contributions to the field of data systems, particularly with his innovative approach to context-aware data commenting. His work has implications for enhancing user interaction with data, making it more intuitive and secure.

Latest Patents

Bill Chen holds a patent for a "Context-aware data commenting system." This system involves the reception of a first query from a client system, generating a result set based on that query, and determining whether to present stored comments to users based on specific contexts and data security information. This innovative approach aims to improve the relevance and security of data interactions.

Career Highlights

Bill Chen is currently employed at SAP SE, a leading enterprise software company. His role involves leveraging his expertise in data systems to develop solutions that enhance user experience and data management. His patent reflects his commitment to advancing technology in meaningful ways.

Collaborations

Some of Bill's coworkers include Houman Ghaemi and Steve Norton. Their collaborative efforts contribute to the innovative environment at SAP SE, fostering advancements in technology and data systems.

Conclusion

Bill (Peng Hong) Chen is a distinguished inventor whose work in context-aware data systems exemplifies the intersection of technology and user experience. His contributions continue to shape the future of data interaction.

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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