About
Current:
A professional patent attorney in Japan, specialized in Machine Learning and various information technologies.
Profile:
After finishing a doctorate course specializing in Information Science (especially, Machine Learning), developed a special in-vehicle system for a major automobile-related company as a researcher. Passed Japanese Patent Attorney exams while working in the company and changed career to patent law in major firms in Tokyo and Osaka, handling patent applications, infringement litigations, invalidation trials and patent surveys. Able to play a proactive role in international legal work with professionalism.
Summary of Expertise:
- Obtained a doctorate degree in information science specializing in Machine Learning including technologies for analyzing big data, and have special knowledge of several applications. Able to understand various information and engineering technologies, which can be an advantage in legal IP work requiring skills for understanding higher technologies.
- Experience of dealing with many patent prosecutions and able to build convincing enforcements for examiners based on difference from related art.
- Confident with communicating in English through having many opportunities of reading and writing as a researcher and able to build relationships with clients based on effective communication skills.
- Capable of playing a proactive role in IP business as an IP professional.
Work history
Shirasaka & Patent Partners
January 2014 – Present , Tokyo, Japan
- Handling patent and trademark prosecutions, trials for invalidation and patent infringements, research and legal advice.
- Strengthening office management systems by instructing and developing new associate attorneys, recruiting staff, standardizing operation flows and developing new clients.
- Doubling as an IP legal manager in an IT related company, formulating patent application strategies, supporting brand strategies, controlling budgets, and researching clearances.
- Acquired a work style to conduct duties discretion and responsibilities, having close communication with clients in every service as a responsible lawyer.
- Pursuing training for Specific infringement lawsuits counsel.
Harakenzo World Patent & Trademark Law Firm
January 2011 – December 2013, Osaka, Japan
- Handled patent applications mainly for software and telecom-related technologies of major companies in one of the largest patent law firms in Japan.
- Received high evaluations for responding flexibly to local patent attorneys and English proficiency, and was entrusted with 60-70% of all foreign applications. Read and understood English specifications that were shown as references in office actions, and English letters from local patent attorneys on a daily basis.
- Recognized for advanced technical expertise and experience of R&D in a company related to automobiles, and was assigned as a principal patent lawyer to a major overseas car company to handle the Patent Cooperation Treaty (PCT) Japanese national phase.
- Interviewed inventors to enumerate features of inventions before applying, and provided intellectual property consulting to the IP departments of universities and technology transfer agencies.
(Open)1 test score
Sumitomo Rubber Industries
August 2007 – December 2010, Hyogo, Japan
- Engaged in developing an Indirect Tire Pressure Monitoring System (indirect-TPMS), which applies data mining techniques. The system received attention from auto manufacturers in the world as a next-generation safety technology which fulfills regulations of installing air pressure monitoring systems in the US and Europe.
- Made presentations on technologies in English and Japanese to auto manufacturers. Also conducted sales activities.
- Earlier systems had a low detection accuracy, improved the system so that it can be operated in a real environment. The system has been installed in various cars at low costs across the world.
- Succeeded to commercialize the TPMS in Sep 2009. It was adopted by BOSCH for their anti-lock braking system (ABS). Demonstrated TPMS to overseas auto manufacturers in Aug 2008.
- Passed an attorney exam in Nov 2010 (registered in Apr 2011).
Education and qualifications
Nara Institute of Science and Technology
Ph.D. in Engineering, Machine Learning
- Completed the doctorate course in Machine Learning. Authored three academic papers and six proceedings of international conferences.
- Conducted data-analysis researches; the research results showed that the voluntary decision made in the human brain could be predicted by analyzing poor behavior data based on the statistical model.
- Developed a novel approach of the reinforcement learning; the research results showed that the learning agent playing the card game "Hearts" could obtain tricky strategies whose decisions could defeat a human player.
Osaka University
Bachelor of Engineering, Information Science
- Developed expertise in mathematics, programming, computer architecture, algorithms, etc.
Publications
Model-based reinforcement learning for partially observable games with sampling-based state-estimation, Neural Computation, 19(11), 3051-3087, September 2007
This Journal paper presents research results about learning and decision-planning in partially observable environments. As studies for controlling autonomous agents, we propose model-based reinforcement learning (RL) schemes for large-scale multi-agent problems with partial observability. Computer simulation results show the world's first result.
A reinforcement learning scheme for a partially-observable multi-agent game, Machine Learning, 59, 31-54, April 2005
This Journal paper presents a model-based reinforcement learning scheme for large-scale, multi-agent and partially observable environments with mean-field state estimation. Computer simulation results show that our method is effective at solving a difficult partially observable multi-agent problem.
