On 09/30/2022, Xiaohang Tong (D2, Takahashi lab.) received Encouraging Prize of SAMPE Japan. ＜Name of award and short explanation about the award＞ Encouraging Prize of SAMPE Japan ＜About awarded research＞ Experimental, theoretical and numerical studies of CFRTP bolted joints ＜Your impression & future plan＞ It is my great honor to receive this Encouraging Prize of SAMPE Japan. I would like to express my sincere appreciation to Professor Takahashi for his kind guidance, and to all the lab members who are involved in this research for their kind support. There are still problems needed to be solved before the large-scale application of bolted CFRTP joints. With the encouragement of this award, I hope that I can accelerate this process with my research work. 　　　　　

【Awards and Commendations】On 1/9/2022, Yukio Ohsawa, Professor, Department of Systems Innovation, was awarded the title of Fellow by the Asia-Pacific Artificial Intelligence Association (AAIA) ＜Name of award and short explanation about the award＞ The Asia-Pacific Association for Artificial Intelligence (AAIA) was incorporated in Hong Kong in 2021. AAIA is an academic, non-profit, non-governmental organization voluntarily formed, at first by 842 academics from around the world. AAIA brings together scientists and entrepreneurs in AI applications to develop the broad AI industry, including AI marine, AI transportation, AI communication, AI robotics, AI education, AI agriculture, AI finance, AI medicine, AI energy, and dozens of other AI application areas. industry. AAIA’s primary mission is to strengthen scientists in AI and other fields and to promote the development and application of AI through activities such as academic research, scholarly exchange, scientific education, scientific exhibitions, scientific conferences, scholarly publications, and summer/winter camps. AAIA Fellows include academicians such as members of the National Academy of Sciences, National Academy of Engineering, European Academy, Chinese Academy of Sciences, Chinese Academy of Engineering, Canadian Academy of Engineering, British Academy of Engineering, Singapore Academy of Engineering, IEEE Fellow, ACM Fellow, AAAI Fellow, IAPR Fellow, etc. Professors of Stanford University, Princeton University, MIT, California Institute of Technology, Cornell University, Columbia University, Oxford University, Imperial College London, University of Toronto University of Waterloo, University of Melbourne, University of Sydney, Nanyang Technological University, National University of Singapore, Peking University, Tsinghua University, Zhejiang University, Shanghai Jiao Tong University, and world-class scientists from Google, Microsoft, IBM and other AI-related companies have been selected to be fellows. ＜About awarded research＞ The reason: as a top scientist with outstanding achievements in the area of data and AI. ＜Your impression & future plan＞ I am truly honored. I seem to be the first from the University of Tokyo. In the list of Fellows of AAIA, we find a lineup of shining great researchers in the field of artificial intelligence from Japan and the world including only 13 Fellows from Japan (very famous, including Professor Fukushima, who invented Neocognitron, the origin of deep learning). I hope to continue to contribute to the development of true AI methods and theories toward innovations.

In the Advanced Technology Division of the 26th Lake Biwa Clueless Solar Boat Competition, a team consisting of graduate students from Department of Systems Innovation, Graduate School of Engineering and Department of Ocean Technology, Policy, and Environment, Graduate School of Frontier Sciences won the championship. The team designed and built a boat as project courses in both departments, practiced repeatedly in a towing tank and Lake Sagami, and joined the race as a team. The boat was able to show a stable cruise on August 27th and 28th and won the championship. Members [Department of Systems Innovation, Graduate School of Engineering] 　Sotaro ODA M2 Shibata lab. 　Takumi ENDO M1 Shimada Lab. 　Qiujun WANG M1 Takahashi Lab. 　Zhengyeng ZHU M1 Takahashi Lab. 　Huaizhi ZHAO M1 Kitazawa Lab. 　Yoshiki MANABE M1 Yoshimura & Fujii Lab. [Department of Ocean Technology, Policy, and Environment, Graduate School of Frontier Sciences] 　Takafumi OGURA M1 Murayama Lab. 　Tianjun ZHANG M1 Murayama Lab. 　Ryota HAMADA M1 Murayama Lab. 　Kazunari MORIKAMI M1 Wada Lab. 〈Name of award and short explanation about the award〉 The 26th Lake Biwa Clueless Solar Boat Competition, Advanced Technology Category, Winner A boat equipped with a solar panel and GPS is autonomously sailed on a round trip course of about 20 km between Sunny Beach in Makino Town and Chikubu Island in Lake Biwa. Points are given by passing checkpoints along the way. Ranking is determined by the sum of time and passing points. 〈About awarded research〉 Project in the courses of Departments of Systems Innovation and Ocean Technology, Policy, and Environment 〈Your impression & future plan〉 We hope many graduate students to join the project next year.

On 05/07/2022, Masanori HIRANO (D2, Izumi lab), Department of Systems Innovation, received Best Paper Award in IIAI International Congress on Advanced Applied Informatics 2022

〈Name of award and short explanation about the award〉

Best Paper Award in IIAI International Congress on Advanced Applied Informatics 2022
https://iaiai.org/conference/aai2022/

 

〈About awarded research〉

Title:
Analysis of Demand Response Scenarios by Industrial Consumers Using Artificial Electric Power Market Simulations
Introduction:
In this study, we focused on the actual electricity usage in a Japanese factory and analyzed the effect of demand response.
Demand response is not only a solution for tight supply-demand balance but also beneficial for CO2 and cost reduction.
Therefore, we utilized multi-agent simulations for this analysis and get some suggestions for applying demand response for the real electricity usages.

 

〈Your impression & future plan〉

I want to thank Mr. Wakasugi, one of the co-author, for his great contribution to this paper. I couldn’t get this award without his contribution. Moreover, I’ll keep doing my best.

【Awards and Commendations】On 22/6/2022, Yukio Ohsawa, Professor, Department of Systems Innovation, won the JSAI Achievement Award at The Japanese Society on Artificial Intelligence.

〈Name of award and short explanation about the award〉

The Japanese Society for Artificial Intelligence (JSAI) awards the JSAI Achievement Award to individuals who have made significant achievements in the science of artificial intelligence or its applications, and to encourage the further development of science and its applications. The award is presented to individuals who are members of the society. The selection method is based on nominations by regular members, officers, etc., and the selection committee (consisting of one chairperson: a predecessor vice president, two secretaries: a director in charge of general affairs, and 21 committee members in total this time) selects the recipients. The criteria for awarding are academic achievements in the field of artificial intelligence or its applications, their contributions and ripple effects, with particular emphasis on originality and usefulness.
This year, just one recipient was selected following this process strictly. The award ceremony was held on June 22 (after the General Meeting of Members), and the recipient was presented with a certificate and a commemorative medal. This is the second recipient of the award at the University of Tokyo and the first in the field of engineering.

 

〈About awarded research〉

Yukio Ohsawa has focused on the interaction between data owners (experts of the target domain) and data analysts (data scientists) in data analysis and has pursued the essence of the process. First, in 1998, he presented the KeyGraph algorithm and applied it to data on earthquakes, business, medicine, etc. He reported that not only the network of co-occurrence but also the peripheral domains extracted from the graph structure by this method induce innovation by experts. This process of discovery came to be named the “chance discovery process” and he further proposed and implemented various concepts in data science. By then deepening the discussion, he found that data analysis itself is an interactive process where data scientists and domain experts join to refine knowledge and value, via the interaction between knowledge and data where data are designed based on the discovery of latent structures of experts’ knowledge on visualized latent structures of available data.

In 2013, Ohsawa proposed a process, Innovators’ Marketplace on Data Jacket (IMDJ), on which various technologies came to be developed to promote innovation creation by experts. He also extended IMDJ to a multilayered information space where not only single fields but also heterogeneous data are distributed, and is currently conducting an R&D to explain the interactions among data in a creative data marketplace consisting of larger heterogeneous data networks. The methodology in IMDJ was applied not only to business domains, but also to the Cabinet Secretariat’s COVID-19 project on epidemic forecasting, where he discovered
the principle that the distribution of people, especially “contact with unknown people” is essential information i.e., Stay with Your Community published in 2020. With this achievement, we are now able to make useful recommendations to policy makers about recommendable social life style of people.

In summary, Ohsawa has not only pursued the essence of data-driven innovation and developed various algorithms, but has also applied them to various areas and obtained significantly new and useful results. His consistent research results on the essence of data analysis over a quarter of a century deserve the Achievement Award of the Japanese Society for Artificial Intelligence.

〈Your impression & future plan〉

I am truly honored to be the first recipient of this award since 2016 in this academic society, and the second at our university since Dr. Junichi Tsujii of this university, who received the award in 2007. Artificial Intelligence is not synonymous with machine learning, but is a much larger field, and I believe that Japanese artificial intelligence studies are the best in the world in terms of development and fascination to pursue the dream and essence of this vast field. It is a great honor for me to have been chosen over my seniors, contemporaries, and younger colleagues in the field of artificial intelligence.

I would like to continue to share with you the content and direction of development of our research, as simply accepting the award is too limited to benefit human society, which is essentially what engineering is pursuing. I am deeply grateful to the Dean of the Graduate School of Engineering and various other people for their congratulatory speeches at the commemorative lecture by the DFIL Social Cooperation Chair. We hope to continue to contribute to the development of engineering and 3D collaboration (industry-government-academia X international X interdisciplinary) to foster knowledge systems.

【Awards and Commendations】

On 21/5/2022, Teruaki Hayashi, Ohsawa-Hayashi Lab., Department of Systems Innovation, received Funai Information Technology Award for Young Researchers.

 

〈Name of award and short explanation about the award〉

Funai Information Technology Award for Young Researchers

https://funaifoundation.jp/grantees/young_awardees_up_to_now_21.html

 

〈About awarded research〉

This award is given to young researchers who have made outstanding research achievements in a wide range of science and engineering fields, particularly in the fields of information science and technology.

 

〈Your impression & future plan〉

I am very honored to receive this award. Data constitute the very human activities of observing, recording, and communicating with the world. I believe that elucidation of the mechanisms behind how our society works with data and its associated technological development will substantially contribute to the coming data-driven society. In the future, I intend to further focus on creating research communities in Japan and overseas to disseminate the appeal of this field of research.

On 05/25/2022, Qian Gao（D2）, Xiaohang Tong（D1）, Zihao Zhao（D1）, Ruochen Xu（D1） of Takahashi-Wan Laboratory, Department of Systems Innovation, won the first prize in the “2022 SAMPE Student Bridge Contest World Championship”

〈Name of award and short explanation about the award〉

Society for the Advancement Material and Process Engineering (SAMPE) Student Bridge Contest World Championship is an annual competition for lightweight bridges made of fiber-reinforced composites, and is divided into eight categories based on the type of reinforcing fiber and bridge shape. The University of Tokyo team won the 2022 competition in Category B (hollow rectangular cross section bridge using carbon fiber).

 

〈About awarded research〉

The winning team of the Japan competition is sent to this world competition as the representative of Japan. Takahashi-Wan laboratory had won the Japan competition for the past three consecutive years, but it had been three years since the world competition was held due to Covid-19. After the optimal structural design by FEM utilizing the anisotropic properties of carbon fiber, we repeated the molding and evaluation tests by hand many times and entered the world competition with our best bridge, which was estimated to have the smallest strength variation based on appearance and sound diagnosis.

 

〈Your impression & future plan〉

We are very honored to receive this award. We would like to express our deepest gratitude to the members of our laboratory for making it possible for us to receive this award. We did the best we could do at the moment, but we feel fortunate to have won against world-class universities such as the University of Washington and UCLA, which are regular winners of this award. We gained valuable insights and advice from the interaction with these universities, and we will continue to improve our design and molding techniques to pass them on to the younger members in our laboratory.

 

On 04/03/2022, Naoki Kosuge (M2, Shibasaki lab), Department of Systems Innovation, received Logistics Research Encouragement Award at the Japan Logistics Society

〈Name of award and short explanation about the award〉

The Logistics Research Encouragement Award, awarded by the Japan Logistics Society, is given to outstanding young logistics researchers who have achieved particularly outstanding results enrolled in educational and research institutions to which at least three regular members of the Japan Logistics Society belong.

 

〈About awarded research〉

Title: Extension of Global Logistics Intermodal Network Simulation (GLINS) Model to include Dry Bulk Cargo

Abstract: This study develops a more comprehensive GLINS model by adding the dry bulk cargo shipping network in the existing model which focused on only the container cargo shipping. Concretely, I select 76 iron ore ports and 130 coal ports based on maritime shipping record extracted from AIS data, develop the vessel size selection model between export and import ports, and develop a cargo assignment model (route choice model) by integrating the dry bulk maritime shipping network with the existing global intermodal transport network which shares the capacity of land transport with container transport.

 

〈Your impression & future plan〉

First of all, I would like to express my deepest gratitude to Prof. Shibasaki and those who supported me in receiving this award. I am very proud to receive such a prestigious award. In Shibasaki Laboratory, I had very diverse, unique, and fruitful experiences, such as daily research activities, seminars, submitting papers to journals, presentations at international conferences, and fieldwork in overseas. Although I will be leaving the university, I will continue to make efforts to contribute to society by making the most of the experience I have gained through my research activities.

On March 5, 2022, the Ohsawa-Hayashi Laboratory received the Yokohama City Open Data Special Achievement Award

 

〈Name of award and short explanation about the award〉

Award name: Yokohama City Open Data Special Achievement Award

The City of Yokohama has organized the Yokohama Open Data Development Committee to promote voluntary activities by citizens to share and utilize open data not only for academic purposes but also for various businesses and the improvement of daily life. This is a cutting-edge activity in Japan in the sense that it is centered on voluntary activities by citizens aiming for innovation in various contexts in their daily lives and businesses, with strong support from the city government and universities. This award came to be presented by the Yokohama Open Data Development Committee, which is coming to a developmental conclusion after 10 years of activity in the city of Yokohama, to three organizations that have made significant contributions over the past 10 years.

 

〈About awarded research〉

From the early stages of Yokohama City’s open data activities, Ohsawa-Hayashi-Laboratory has contributed to the cataloging and value creation of Yokohama City’s open data by providing data co-creation support technologies, such as the originally developed Data Jacket. The laboratory has also led to the creation of businesses by conducting numerous workshops using its proprietary technology with many citizens, and has developed a data utilization process that enables people who do not have the technology to directly access data to promote it. As a result, the award was presented by the Yokohama Open Data Solution Development Committee, in the event of International Open Data Day of Yokohama, supported by the Yokohama City Policy Bureau and the Yokohama City Digital Headquarters.

 

Your impression & future plan〉

There are many data utilization projects that have resulted from our various data co-creation support technologies and co-creation activities based on the “data jacket” concept. However, what has tended to remain hidden in the recent focus on big data and AI technologies is the effectiveness of data-related communication in “creating new human connections.” By combining knowledge about various events before they were digitized, and also connecting models of their dynamics, we can grasp new phenomena, and in the process, we can respect the knowledge of others, form relationships, and create a materially and spiritually rich society. The connection of the minds of Yokohama citizens was the driving force that enabled to take advantage of data-federative innovation, and we will continue our activities to further develop a widely-useful literacy to create connections and create values for all people and spread it throughout the entire nation and the world.

 

On November 11th, 2021, Takuya Matsunaga (Research Associate), Koshizuka-labo, Department of Systems Innovation, received Certificate of Merit for Best Presentation for his presentation at the 34th Annual Meeting of the Computational Mechanics Division (CMD2021), JSME.

 

〈Name of award and short explanation about the award〉
Certificate of Merit for Best Presentation

〈About awarded research〉
Numerical stabilization of LSMPS method and application to free-surface flow

 

〈Your impression & future plan〉
It is an honor to receive this award. I’ll continue to conduct innovative research in this area.