【Awards and Commendations】Name Naoya Oie, Kawabata-labo, Department of Systems Innovation, (M2), received Excellence Young Poster Award at the 2021 annual autumn meeting of the JASNAOE.

1.Name
Naoya Oie

2.Faculty/Graduate School, Department (Stream / Program) / Major
Department of Systems Innovation, Kawabata-labo, (M2)

3.Name of award and short explanation about the award
Excellence Young Poster Award
Excellence Award
This award is presented to a poster presentation with outstanding research content, poster design, and presentation at the 2021 annual autumn meeting of the Japanese Society of Naval Architects and Ocean Engineers.

4.About awarded research
Title: Quantification of Fracture Toughness Reduction due to Pre-straining of Steel
Outline: Steel is a strong material that is used as a structural material for ships, but there is a risk of brittle fracture (a phenomenon that leads to instantaneous fracture) when exposed to low temperature environments such as the Arctic Ocean shipping routes. The risk of brittle fracture is also high when steel materials are subjected to loads, because the deformation (strain) of the materials causes damage even if brittle fracture does not occur at the time. In this study, we applied pre-strain to steel materials in order to quantitatively evaluate how the fracture toughness (an index of resistance to fracture) of steel materials decreases.

5.Your impression & future plan
I am happy that my research has been recognized in this way at the external event. Prof. Kawabata is the best researcher and mentor I have ever had.

【Awards and Commendations】Masanori HIRANO, (D2), Izumi labo, received Excellence Award at The Japanese Society for Artificial Intelligence (JSAI) 35th Annual Conference on 21st July 2021.

〈Name of award and short explanation about the award〉

The Japanese Society for Artificial Intelligence (JSAI) 35th Annual Conference Excellence Award (2021)
https://www.ai-gakkai.or.jp/jsai2021/en
https://www.ai-gakkai.or.jp/about/award/jsai_award-conf/#CONFERENCE (Japanese only)
Award to honor presenters who made excellent presentations at JSAI Annual Conference.

 

〈About awarded research〉

Title:
STBM+: Advanced Stochastic Trading Behavior Model for Financial Markets based on Residual Blocks or Transformers

Introduction:
This study proposed a new modeling method to imitate the actual traders’ behaviors in Tokyo Stock Exchange market using deep learning and detailed order data. This method was built for artificial market simulations and, we believe, will be a touchstone in developing financial market simulation through the integration of data mining technology.

 

〈Your impression & future plan〉

It is an honor to win this award. Thanks to those who support my research, and I will continue to do my best on researches.