Seevetal, Germany

Sebastian Schmidt-Lehr

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Tesa Se. Active years: 2018.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sebastian Schmidt-Lehr. Retrieved from https://idiyas.com/inventor/sebastian-schmidt-lehr

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 = 6(Granted Patents)


Company Filing History:


Years Active: 2018

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1 patent (USPTO):Explore Patents

Title: The Innovations of Sebastian Schmidt-Lehr

Introduction

Sebastian Schmidt-Lehr is a notable inventor based in Seevetal, Germany. He has made significant contributions to the field of adhesives, particularly with his innovative approach to pressure sensitive adhesives. His work focuses on creating adhesives that offer high adhesion and adjustable cohesive failure characteristics.

Latest Patents

Sebastian holds 1 patent for a pressure sensitive adhesive. The intention behind this invention is to provide powerful adhesives that meet specific performance criteria. This is achieved through the development of pressure sensitive adhesives that comprise unique formulations.

Career Highlights

Sebastian is associated with Tesa SE, a leading company in adhesive solutions. His role at Tesa SE has allowed him to explore and develop advanced adhesive technologies that cater to various industrial applications.

Collaborations

Sebastian has worked alongside talented colleagues, including Aliona Melnikova and Sven Hansen. Their collaborative efforts contribute to the innovative environment at Tesa SE.

Conclusion

Sebastian Schmidt-Lehr's work in the field of pressure sensitive adhesives exemplifies the importance of innovation in adhesive technology. His contributions continue to influence the industry and pave the way for future advancements.

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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