1. Name:
   Peng Xue, Yuanyuan Wu, Zhengyang Zhu, Qiujun Wang
2. Faculty/Graduate School, Department (Stream / Program) / Major:
   Department of Systems Innovation, D2, D3, M2, M2
3. Name of award and short explanation about the award:
   The Society of Advanced Materials 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 2023 competition in Category B (hollow rectangular cross-section bridge using carbon fiber). This is the second year in a row that our laboratory has won.
4. 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 four consecutive years and the world competition for the last year. 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.
5. 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 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 of our laboratory.

Tatsuki Yotsushima (M2, Kawasaki lab) won 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〉
This study developed a time-series supply chain network (SCN) using global inter-firm transaction data and clarifies the robustness and structural characteristics of the SCN. Besides, robustness of the network to various risk events and the aspects of functional deterioration were identified. We also found the conditions to enhance the functional sustainability of supply chain, and contributed to the formulation of strategies that firms should take in response to risks. As one of the risk events, we consider the US-China trade friction and analyzed a case in which all semiconductor transactions between the US and China were disrupted. In addition, we proposed a new indicator of network overlapping rate as a method for creating time-series SCNs.

〈Your impression & future plan〉
I would like to express my deepest gratitude to Dr. Kawasaki and all those who supported me in receiving this award. I am proud to receive such a prestigious award in recognition of my research activities and achievements during two years in the master’s course. In the Kawasaki Lab, I have had diverse, unique, and fulfilling experiences, such as daily research activities, readings, seminars, submitting papers to journals, presentations at international conferences, and joint seminars with other universities. Although I will be leaving the university, I will continue to make efforts to contribute to society.

On 10/21/2022, Students from Takahashi/Wan Lab Win Double in Two Categories of the 2022 IHI/SAMPE Japan Student Bridge Contest 　Category B (Peng Xue (D2), Yuanyuan Wu (Visiting D), Zhengyang Zhu (M2), Qiujun Wang (M1), Ayumu Uno (B4)), Category G (Weizhao Huang (D2), Zhiyu Wang (D1), Tomotaka Suzuki (M1), Fan Zhang (M1), Shingo Miyamoto (B4)) ＜Name of award and short explanation about the award＞ The Society for the Advancement of Material and Process Engineering (SAMPE) Student Bridge Contest is an annual world competition (about 100 participating teams) for lightweight bridges made of fiber-reinforced composite materials. The University of Tokyo team won in two categories at the Japan preliminary round (17 teams participated) held on October 21, 2022. ＜About awarded research＞ The Todai team won Category B (in which carbon fiber, bridge shape, and forming method used are specified) for the fourth consecutive year, and won Category G (in which materials used, bridge shape, and forming method are not specified) for the first time. We will be sent to the world competition to be held in the U.S. next spring. ＜Your impression & future plan＞ We are very honored to receive these awards. We would like to express our deepest gratitude to the people in our laboratory for their support in helping us win these two awards. We expect that many teams will bring their state-of-the-art bridges to the 2023 World Championships after Corona leaves, but we will continue to make improvements and aim to win prizes. Category B Category G

On 09/20/2022, Naoki Kosuge (graduated Dept. of Systems Innovation in March 2022), Ryuichi Shibasaki (Assoc. Prof., Resilience Engineering Research Center/Dept. of Systems Innovation), Koki Kawachi (M1, Dept. of Technology Management and Innovation), Hirofumi Arai (Economic Research Institute for Northeast Asia), Takefumi Nakamura (graduated Tokyo University of Marine Science and Technology in March 2022), Lei Liu (doctoral research student, Dept. of Technology Management and Innovation) in March 2022 won “OCDI Takeuchi Yoshio Logistics Award” at the 9th International Conference on Transportation and Logistics (TLOG 2022). ＜Name of award and short explanation about the award＞ OCDI Takeuchi Yoshio Logistics Award ( https://tlog2022.inu.ac.kr/call-for-papers/ocdi-takeuchi-yoshio-logistics-award ) is awarded for the best paper selected from those submitted to the International Conference on Transportation and Logistics (TLOG, https://tlog2022.inu.ac.kr/home), which is held every two years. ＜About awarded research＞ The awarded paper titled “Development of Multicommodity-type Global Logistics Intermodal Network Simulation Model Including Both Containerised and Dry Bulk Cargo” logically integrated the bulk cargo (i.e. iron ore and coal) shipping into the existing global logistics intermodal network simulation model which focused on container cargo. Therefore, the paper was highly evaluated because the transportation form and trade pattern of these cargo are completely different but the competition in capacity of land transport may be observed. ＜Your impression & future plan＞ I am very honored to receive the OCDI Takeuchi Yoshio Logistics Award. I would like to express my sincere gratitude to Prof. Shibasaki, Mr. Kawachi, and other co-authors for their tremendous efforts in additional analysis and revising of the paper. I look forward to the continued success of the Shibasaki Lab. Koki Kawachi (M1, Dept. of Technology Management and Innovation) receives the certificate and other awards by proxy.

On 09/30/2022, Qian Gao（D3）, Xiaohang Tong（D2）, Zihao Zhao（D2）, and Ruochen Xu（D2） of Takahashi-Wan Laboratory, Department of Systems Innovation, received the Encouraging Prize of SAMPE Japan. ＜Name of award and short explanation about the award＞ Encouraging Prize of SAMPE Japan ＜About awarded research＞ The University of Tokyo team has been awarded First Place in the SAMPE Student Bridge Contest 2022 World Competition, Category B. ＜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 gained valuable insights and advice from the world-class competition, and we will continue to improve our design and molding techniques to pass them on to the younger members of our laboratory. 　　　　　

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.