This inventor holds 13 USPTO granted patents and 1 published patent application and 5 EPO patents. Top assignees: Daikin Industries, Ltd., Daikin Applied Systems Co., Ltd.. Active years: 1994-2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- Sakai, JP (1994 - 2016)
- Osaka, JP (2004 - 2024)
Company Filing History:

Years Active: 1994-2024
Title: Yasunori Okamoto: Innovator in Machine Learning and Air Conditioning Systems
Introduction
Yasunori Okamoto is a prominent inventor based in Osaka, Japan. He has made significant contributions to the fields of machine learning and air conditioning systems. With a total of 13 patents to his name, Okamoto's work focuses on optimizing thermal transfer and improving energy efficiency in air conditioning technologies.
Latest Patents
Among his latest patents, Okamoto has developed a machine learning apparatus designed to optimize the transfer of heat quantity. This innovative apparatus is capable of learning various parameters, such as temperature and flow rate, essential for the efficient operation of thermal transfer systems. Additionally, he has patented an air conditioning system that intelligently manages the operation of outside air processing devices and air conditioning units based on temperature and humidity conditions.
Career Highlights
Okamoto has had a distinguished career, working with notable companies such as Daikin Industries, Ltd. and Daikin Applied Systems Co., Ltd. His expertise in machine learning and air conditioning systems has positioned him as a leader in the industry, contributing to advancements that enhance energy efficiency and user comfort.
Collaborations
Throughout his career, Okamoto has collaborated with esteemed colleagues, including Naotoshi Fujita and Nobuki Matsui. These partnerships have fostered innovation and have been instrumental in the development of his patented technologies.
Conclusion
Yasunori Okamoto's contributions to machine learning and air conditioning systems exemplify his commitment to innovation and efficiency. His patents reflect a deep understanding of thermal dynamics and energy management, making him a key figure in the advancement of modern air conditioning technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile