【Awards and Commendations】Prof. Yukio Ohsawa received the Research Award from KES International (Headquarters: Selby, UK).

〈Name of award and short explanation about the award〉

“Research Award” KES (Knowledge-Based and Intelligent Information & Engineering Systems) International, headquartered in Selby, UK, is a professional society providing community, networking, research and publication opportunities for all those involved in knowledge-intensive topics and knowledge transfer. Its community has approximately 5000 researchers, engineers, and practitioners, and has been organizing conferences in the field of intelligent systems for over 20 years. This award was presented by KES International to Prof. Ohsawa for his long-term academic contributions.

 

〈About awarded research〉

This award has been addressed to the research on Chance Discovery, its extensions, and the contribution of these works to the communities relevant to KES international. Around 1999-2004, we were in the AI Cambrian era when not only mature machine learning technologies but also other technologies for analysis and visualization of data with high interpretability for humans were being created every day. Workers in various business domains were learning the methodology of data mining, which uses these technologies to acquire knowledge to be used by humans, and were buying expensive tools for data mining.  In data mining, however, the interactions that occur between people should include steps to reflect their interests on generating data and incorporating the data into their own intellectual activities, rather than leaving the steps to tools on machines. The importance of human eyes, ears, hands, mouths, and feet has been well recognized since when users noticed the risk of the overconfidence of machine learning. Chance Discovery is an in-depth study of the role of human hands and minds in helping people get information from data to help themselves make decisions, and the ways in which people communicate to reach chance discovery. The results have now evolved into creative data market design and other studies that support the work of many companies, municipalities, and healthcare providers.

 

〈Your impression & future plan〉

I thought that the “boom” would be overwhelming and that it would be difficult to gain recognition, but I am glad that people continue to pay attention to my work, and I believe that it is beneficial to society. From April, we will establish “Data Collaboration Innovation Literacy” as a social collaboration program, that is an extension of chance discovery and its extensions. We promote this program with the support and participation of four companies from different industries. We aim to in a way that show unexpected value creations to the academic and industrial communities.

【Awards and Commendations】Name: Yukio Ohsawa, Professor, Department of Systems Innovation,

 

Professor Yukio Ohsawa  received Innovative Research Award at the joint conference of 7 conferences organized by — Intelligent Systems Design and Applications (ISDA) , Hybrid Intelligent Systems (HIS’21), Information Assurance and Security (IAS), Soft Computing and Pattern Recognition (SoCPaR), Innovations in Bio-Inspired Computing and Applications (IBICA), Nature and Biologically Inspired Computing (NaBIC) ,Information and Communication Technologies (WICT).

 

〈Name of award and short explanation about the award〉

Innovative Research Award

This award is presented by the Machine Intelligence Research Labs (Washington, U.S.A.) to researchers whose research achievements contribute to innovation in both academia and industry. Yukio Ohsawa came to be the first recipient of this award.

 

〈About awarded research〉

Reason for the award: Technical contributions in the Innovators Marketplace on Data Jackets and outstanding long-term services to the community through editorial and conference related activities.

 

Title of the keynote for the award: Elicitation of Feature Concepts as Data Federative Innovation Literacy

Abstract: Since 2000, the speaker has initiated and embodied Chance Discovery, a subdomain of data science, meaning to detect and explain a chance, a piece of high-utility information as part of data about events meaningful for decision-making. At that time, he thought a network of networks can be the essential model for representing the latent dynamics where an edge between networks is linked to a chance. Then, he extended the methods of chance discovery for explaining the utility of datasets, via the analogy between an event as the base and the metadata of a dataset as the target. As well as the base problem of chance discovery, that is to explain the utility of information about an event considering its relation to other events, the utility of a dataset as the target goal could be explained in its relation to other datasets. However, he found information obtained from a dataset created by a combination of different but connectable (sharing attributes and/or purpose of using) datasets is essentially hard to interpret because the same analysis models as of the original datasets cannot be applied directly due to the difference in the requirements of data user(s). Thus, it comes to be an important problem to elicit a new “feature concept” for target data. A feature concept is a model of the concept to be retrieved from data that cannot be represented by a simple feature such as a single variable but can be by a conceptual illustration. Decision trees, clusters, and even deep neural networks can be positioned as examples of feature concepts. A useful feature concept for satisfying a requirement of a data user has been elicited via creative communication using Data Jackets among data providers, data users, and other stakeholders in the market of data. In this keynote, the history of chance discovery and data-jacket-based design of creative communication is reviewed with some cases of application — marketing, detection of earthquake precursors, suppression of COVID-19 spreading risk, etc., cases and highlight the feature factors elicited and used in these examples. An essential message here is that sharing and using/reusing feature concepts is literacy for data-federative innovations.

 

〈Your impression & future plan〉

The keynote speech at the time of the award was attended by many people from all over the world who are involved in artificial intelligence research, and I feel that my slogan of “data and innovation by people, for people”, breaking away from the stereotype of machine learning and automation, attracted a lot of attention. I don’t have to say it, but I believe that this interest is where the world’s diverse disciplines are clamoring and storing huge amounts of energy at the “knowledge plate boundary. In April, we will establish “Data Collaboration Innovation Literacy” as a social collaboration course, and promote it with the support and participation of four companies from different industries. We aim to develop in a way that show unexpected value creations to the academic and industrial communities.

 

 

 

 

 

【Awards】One-two finish at the Student Bridge Contest Japan Tournament!

On December 3, 2021, two teams from Takahashi Lab won the first and second place in IHI/SAMPE Japan Student Bridge Contest. The winning team will participate in the World Championships in North Carolina, USA in May 2022 as a representative of Japan.

 

<About the award>

The bridges made of carbon fiber reinforced plastics that can withstand the design load (7,200lbf ≒ 3,266kgf) are ranked in order of light weight. The winning team was a bridge weighing only 670g and withstanded a load of 8,486lbf. This is a good result that medals are expected at the world championships.

 

<About the winning teams>

Winning team name: Cool Dock

Members: Ruochen Xu (Leader, D1), Zihao Zhao (D1), Weizhao Huang (D1), Yota Nakamura (M2), Kota Yokomizo (4 years)

Maximum load capacity: 8,486lbf

Bridge weight: 670g

2nd place team name: Road to 7200lbf

Members: Xiaohang Tong (Leader, D1), Qian Gao (D2), Tsukasa Yamazaki (M1), Yuxuan Hu (M1), Tomotaka Suzuki (4th year)

Maximum load capacity: 8,307lbf

Bridge weight: 725g

〈Your impression & future plan〉

Ruochen Xu：
We are honored to be the winner of the IHI / SAMPE Japanese Student Bridge Tournament. I sincerely thank everyone in the team for winning the award. I would like to continue working hard on my research.

Xiaohang Tong：
We have done a good job winning a second-place finish in the contest. It is a pleasure that the efforts of all the teammates are rewarded. We also want to express our sincere gratitude to our supervisor professor Takahashi who has given us valuable advice and to all the lab members who have offered their enormous help. For the coming world tournament of this contest, we will spare no efforts to improve the design and technique and try our best.

Xu et al Winner of Category B

 

Tong et al Second Prize of Category B

【Awards】Mr. Xiaohang Tong (D1) of Takahashi Laboratory received the Best Student Presentation Award and Mr. Ruochen Xu (D1) received the Student Presentation Award at the 17th Japan International SAMPE Symposium and Exhibition on December 3, 2021.

〈About awarded research〉

Title of the Best Student Presentation Award:
Preload relaxation in bolted carbon fiber reinforced thermoplastics joints

Outline of the research:
Research on efficiently manufacturing lightweight and low-cost structures using multi-materials is accelerating due to the electrification and automatic operation of mobile objects. This research clarified the phenomenon of decrease in bonding force, which is a problem when bolt-bonding CFRTP to metal materials, through experiments and simulations.

Title of the Student Presentation Award:
Prediction of tensile strength distribution of CFRTP-SMC by Monte Carlo simulation

Outline of the research:
Continuous fiber CFRP has been successful in small-scale production of large structures such as aircraft, but CFRP made of discontinuous carbon fiber and thermoplastics is indispensable for mass production of small semi-complex structures such as passenger cars, robots and drones. In this study, we clarified the cause of variation on the strength by Monte Carlo simulation, and clarified the manufacturing method of the structure with higher strength and less variation by eliminating the low strength factor.

 

〈Your impression & future plan〉

Xiaohang Tong：It is an honor to receive this award, and I would like to express my appreciation to professor Takahashi and all the lab members who are involved in this research for their kind support. In the future, I will continue to work hard on the research and try to do my best.

Ruochen Xu：I am honored to receive this Student Presentation Award. I would like to thank all the people who supported me in this research. I hope to devote myself to my research in the future.

 

Xiaohang Tong：Bset Student Presentation Award


Ruochen Xu：Student Presentation Award

【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.

【Awards and Commendations】Takayuki Itabashi (D3) received Poster Award at the 67^th Symposium on Organometallic Chemistry.

1. Takayuki Itabashi
2. School of Engineering, Department of Systems Innovation, D3
3. Poster Award: Award to graduate students or companies under 30 years old for good presentation contents and abilities
4. Molybdenum-Mediated Direct Synthesis of Organonitrogen Compounds from Dinitrogen
5. I am very honored to receive this award. I would like to thank all the lab members for their support in receiving the award, and I would like to devote myself to future research.
   
   

【Awards and Commendations】 Akihiro NAKAO, Professor, received “Chugoku Area General Communications Bureau Director’s Commendation” for Radio Day.

1.Name
Akihiro Nakao

2.Faculty/Graduate School, Department (Stream / Program) / Major
Professor,
Department of Systems Innovation,School of Engineering, The University of Tokyo

3.Name of award and short explanation about the award
“Radio Day Commendations from Director of Chugoku Regional Bureau of Telecommunications”

Chugoku Regional Bureau of Telecommunications Bureau (Director: Yuji Homma), in collaboration with Chugoku Info-Communication Conference (Chairman: Tomohide Karita, Chairman of the Chugoku Economic Federation), gives Awards to individuals and groups who have contributed to the use of radio waves and the spread and development of information and communications, in Radio Day / Information and Communication Month of the year 2021.
https://www.soumu.go.jp/soutsu/chugoku/hodo_2021/01sotsu08_01001207.html

4.About awarded research
Prof. Akihiro Nakao played a leading role in the development demonstration of oyster farming utilizing local 5G, and made a great contribution to promoting the spread of local 5G in the future fishery field.

5.Your impression & future plan
The University of Tokyo is working on solving regional issues, regional cooperation, and social contribution activities from the perspective of fulfilling the role of the university as a public good of society by returning cutting-edge results in various academic fields. We would like to conduct research on the innovative evolution of information and communication infrastructure while advancing the application of utilizing next-generation cyber infrastructure for regional revitalization.

【Awards and Commendations】 Langxing, Tan (D1) received　Young Researcher Award at Mini-symposium on Advanced Materials and Nondestructive Measurements

1. Name
Langxing Tan

2. Faculty/Graduate School, Department (Stream / Program) / Major
School of Engineering, Department of Systems Innovation, D1

3. Name of award and short explanation about the award
Young Researcher Award: Award to presenters younger than 31 for their good presentation contents and abilities.

4. About awarded research
Impact damage monitoring using chirp ultrasonic guided waves for CFRP mobility structures

5. Your impression & future plan
I am very honored to receive this award. I would like to thank all the lab members and people involved for their support in this research. I will continue to do my best in future research.

【Awards and Commendations】 Prof. Kazuki Shibanuma won The Young Scientists’ Award of The Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology.

1. Name:
Kazuki Shibanuma

2. Department:
Department of Systems Innovation

3. Name of award and short explanation about the award:
The Young Scientists’ Award of The Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology. (Award for young researchers who have demonstrated high R & D ability with excellent results of exploratory or creative research.)

4. About awarded research
The research for understanding the fracture phenomena in large structures and for establishing its controlling methodologies

5. Your impression & future plan
I would like to continue performing high-quality researches in the engineering fields with both the academic and practical values.