This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Ntt Corporation. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations by Tomoharu Iwata
Introduction
Tomoharu Iwata is a notable inventor based in Tokyo, Japan. He has made significant contributions to the field of data resolution enhancement. His work focuses on improving the accuracy and quality of aggregate data through innovative methodologies.
Latest Patents
Tomoharu Iwata holds a patent for an "Aggregated data resolution enhancement device, aggregated data resolution enhancement method, and aggregated data resolution enhancement program." This invention involves a parameter estimation section that performs estimation for aggregate data associated with subdivided regions in a space. The estimation utilizes a Gaussian process model that expresses multiple aggregate data sets with varying partition granularities. The high-resolution data computation section enhances the resolution of the subject aggregate data by computing area integrals of the values, thereby improving data quality.
Career Highlights
Iwata is currently employed at NTT Corporation, where he continues to develop innovative solutions in data processing and enhancement. His expertise in Gaussian processes and data resolution has positioned him as a key figure in his field.
Collaborations
Tomoharu Iwata has collaborated with notable colleagues, including Takeshi Kurashima and Yusuke Tanaka. Their combined efforts contribute to advancing technology in data resolution enhancement.
Conclusion
Tomoharu Iwata's work exemplifies the impact of innovative thinking in the realm of data processing. His contributions are paving the way for advancements in how aggregate data is utilized and understood.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile