Honolulu, HI, United States of America

Jeffrey Watamull

This inventor holds 1 USPTO granted patent. Top assignee: Oceanit Laboratories, Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jeffrey Watamull. Retrieved from https://idiyas.com/inventor/jeffrey-watamull

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


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations by Jeffrey Watamull

Introduction

Jeffrey Watamull is an accomplished inventor based in Honolulu, HI (US). He has made significant contributions to the field of neural activity sensing. His innovative work focuses on non-invasive methods that enhance the understanding of neural signals.

Latest Patents

Watamull holds a patent for "Methods and apparatus for non-invasive neural activity sensing." This patent describes an unshielded, non-invasive, ambulatory neural activity sensing device. The device features an array of alternating H-field and E-field sensors, along with a processor designed to localize electromagnetic signals by combining outputs from both sensor types. He has 1 patent to his name.

Career Highlights

Jeffrey Watamull is associated with Oceanit Laboratories, Inc., where he continues to develop cutting-edge technologies. His work has the potential to revolutionize how neural activity is monitored and understood.

Collaborations

Watamull collaborates with talented individuals such as Christopher J Sullivan and Ryan Miyamoto. Their combined expertise contributes to the advancement of innovative solutions in their field.

Conclusion

Jeffrey Watamull's contributions to non-invasive neural activity sensing highlight his role as a leading inventor in this specialized area. His work at Oceanit Laboratories, Inc. and his collaborations with other professionals underscore the importance of innovation in understanding neural processes.

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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