My article was published in Journal of The Society of Instrument and Control Engineers.
I won the SICE Reserch Encouragement Award, Researcher Award, so this article was summarized of that outcomes.
You can download the article at the following URL if you are a member of SICE.
I won the education contribution award in 2021 from Okayama University.
I was nominated because of the contribution to enrich computing system for education in the department.
Although my effort was smaller than those of the other professors, I arranged schedule for maintenance of the graduate students’ PCs.
There are lots of professors who effort to nice manage the department. I would like to contribute in the future.
Today, I won the research encouragement award, researcher award in 2021 from the Society of Instrument and Control Engineers.
Naturally, I am delighted because it’s the first time I won.
Furthermore, the SICE intelligent system symposium first time I joined as a researcher nominated me, which is so emotional.
I shall contribute SICE as much as possible since now.
I gave an oral presentation in ICAART 2022. This conference deals with specialties of agent technology.
Agent technology can cover large field where human-agent interaction, robotics, data mining, etc.
The invited speaker who has a specialty for human-agent interaction gave us an interesting presentation. As for the resent work, she introduced agents interact to a human for any senses in VR. I reckoned it’s marvelous in pandemic.
It was a first time for me to give a presentation. There is an atmosphere for the international conference because almost all of the presenters come from several countries out of Japan.
I told the participants the proposal how agents with difference resolution inputs learn to cooperate each other and the experimental results. I had seven minutes for presentation, which I thought there is no question from my presentation. However, participants would ask me the details of the problem domain.
Although it was hard for Japanese to hear all presentations in GMT time zone, I will hear the remain presentations to improve my research.
I gave an oral presentation in AROB2022. This symposium deals with specialties of artificial life and robotics.
It was a first time I joined in. I had a great time as I had presentations given by close researchers. Furthermore, My colleagues’ supervised students gave me and others their presentations, which made me realize I had already started a career for an assistant professor.
I told participants the results about the research supported by KAKENHI Grant (Research Activity Start-up). That grant will be finished two months later, but the results made many kinds of valuable challenge beyond my plan.
I might have an opportunity to submit an application for advanced research from this theme to other grants, but I am going to finish this research as a milestone.
I gave a poster presentation on Japanese conference named SSI2021. This conference is organized by SANDY in the Society of Instrument and Control Engineers (SICE).
I joined in this conference for many times. Since I can communicate and discuss with familiar professors in that conference, it is so valuable for my research topic.
By the way, my presentation explained about my research topic of KAKENHI grant for young researchers, and showed the previous methods’ performance on simple grid environments. That grant could support me until Mar. 2024, that is, next year, or the middle term of that grant, will get tough for me. Therefore I will do my research more deeply in next year.
I am translating the pages in English.
You can enter the English site by tapping the button named “English” on the right side bar.
My recent article was published on JSAI Transaction. JSAI is one of the Japanese societies grouped by AI researchers in Japan.
The contents is to propose a new algorithm to prevent incorrect announcement through the links between agents in complex network.
The complex network is shown in the eye catch graphic and approximates the network in human society. Then the proposed method contributes to prevent fake news spreading in social media.
I’m sorry but this article is in only Japanese. However, you can read the abstract and download from the following URL. try it!