【Awards and Commendations】 Hiroki, Toda (D1) received Student Presentation Award at The 69th Conference of Japan Society of Coordination Chemistry. Name： Hiroki Toda Faculty/Graduate School, Department (Stream / Program) / Major： School of Engineering, Department of Systems Innovation, D1 Name of award and short explanation about the award： Student Presentation Award: Award for outstanding presentations. About awarded research： Ruthenium-catalyzed oxidative conversion of ammonia into dinitrogen. Your impression & future plan： I am very honored to receive this award. I will continue to do my best in research.

【Awards and Commendations】Shumpei Kikuta(M2), Toriumi labo, received Best oral presentation award at Complex Networks 2019 1. Name：Shumpei Kikuta 2. Faculty/Graduate School, Department (Stream / Program) /Major Year:(B4, M1, M2, D1, D2, D3) M2, Department of System Innovation,School of Engineering,Toriumi Laboratory 3.Name of award and short explanation about the award Best oral presentation award This award is sent to the researcher who made the best presentation. 4.About awarded research Discovering the roles of nodes in a network is important for solving various social issues. Role discovery aims to infer nodes’ roles from a network structure, and it has received considerable attention recently. The conventional methods of role discovery mainly use unsupervised learning, but due to the lack of information, it is difficult to discover the roles we want or to ascertain the results. In this paper, we attempt to improve accuracy through using supervised information. Specifically, we adopt transfer learning using adversarial learning. As a result of computational experiments, we show that the proposed model discovers a node’s role more effectively than do the conventional methods. Furthermore, we found that domain-invariant features lead to higher accuracy, the proposed method discovers roles better even with different network sizes, and the proposed method works well even if the networks have nodes of various structures.

5.Your impression & future plan I am honored to win such a wonderful award. I will make an effort to improve this research to apply the proposed method to real-world datasets. 

【Press Releases】Visualisation method for the broad distribution of seafloor ferromanganese deposits: Lecturer Kazutaka Yasukawa, Professor Yasuhiro Kato, Frontier Research Center for Energy and Resources, and other researchers http://www.t.u-tokyo.ac.jp/soee/press/setnws_201912112002546089424844.html   The increasing global demand for industrially critical metals has driven the development of deep-sea mineral resources. In the past, acoustic exploration has been utilised as an efficient technique for investigating deep-sea mineral resources. However, a practical method applicable to a wide distribution of resources has not yet been established. We show that the acoustic backscatter intensity of the seafloor determined using a vessel-equipped multi-narrow beam echo sounder provides an inherent threshold that bounds different types of geology, e.g. barren pelagic sediment and dense ferromanganese nodules. We found that multiple datasets from different sounders and/or the observation periods could be integrated on the basis of the thresholds that indicate the same geological boundaries. Furthermore, the integrated data and threshold provided visualisation and quantitative estimations regarding the distribution of ferromanganese deposits covering thousands of square kilometres. Our method is applicable after minimal data processing and ground-truth observations, and provides expeditious and exhaustive reconnaissance exploration.   Marine Georesources & Geotechnology: https://www.tandfonline.com/doi/full/10.1080/1064119X.2019.1696432        

【Awards and Commendations】 Hisaki Matsuda, Gutao Shen, Hao, Wu, Johan Friemann (M1, Takahashi lab.) received Best Bridge Award (First Price of Category B) of IHI/SAMPE Japan Student Bridge Contest 1. Name: Hisaki Matsuda, Gutao Shen, Hao Wu, Johan Friemann 2. Faculty/Graduate School, Department (Stream / Program) / Major: Department of Systems Innovation, M1 3. Name of award and short explanation about the award: Best Bridge Award (First Price of Category B) of IHI/SAMPE Japan Student Bridge Contest 4. About awarded research: Using carbon fiber composite materials to build the lightest bridge with a certain load-carrying capacity. 5. Your impression & future plan: It is with great privilege and honor that we have received the award. And at the same time, we also want to congratulate the IHI Corporation and The Society for the Advancement of Material and Process Engineering (SAMPE) for their great work of organizing and making this event possible. Furthermore, we must express our sincere gratitude in particular to our supervisors Prof. Takahashi and Dr. Ice, as well as all the lab members who have provided us with enormous help from many perspectives. In the near future, the world tournament of this contest will be held in the U.S.A. next May, and our team share a common goal of bringing the champion back to Japan. For achieving this ambition, not only shall we continuously improve our skills in design and fabrication, but also the power from every each one of you who support us is indispensable. We again truly appreciate for the help and support from you that encourage us to move forward.    

A Miocene impact ejecta layer in the pelagic Pacific Ocean : Lecturer Kazutaka Yasukawa, Professor Yasuhiro Kato, Frontier Research Center for Energy and Resources, and other researchers.

Meteorite impacts have caused catastrophic perturbations to the global environment and mass extinctions throughout the Earth’s history. Here, we present petrographic and geochemical evidence of a possible impact ejecta layer, dating from about 11 Ma, in deep-sea clayey sediment in the Northwest Pacific. This clay layer has high platinum group element (PGE) concentrations and features a conspicuous negative Os isotope anomaly (¹⁸⁷Os/¹⁸⁸Os as low as ~0.2), indicating an influx of extraterrestrial material. It also contains abundant spherules that include pseudomorphs suggestive of porphyritic olivine as well as spinel grains with euhedral, dendritic and spherical forms and NiO contents as great as 23.3 wt%, consistent with impact ejecta. Osmium isotope stratigraphy suggests a most plausible depositional age of ~11 Ma (Miocene) for this layer, as determined by fitting with the seawater evolution curve. No large impact crater of this age is known on land, even within the relatively large uncertainty range of the relative Os age. Thus, we suggest that an unrecognised impact event in the middle or late Miocene produced the impact ejecta layer of the Northwest Pacific.   Scientific Reports：https://www.nature.com/articles/s41598-019-52709-1   References Press Releases： https://www.t.u-tokyo.ac.jp/…/setnws_2019112111235657315787… JAMSTEC： http://www.jamstec.go.jp/j/about/press_release/20191120/ Tokyo Institute of Technology : https://www.titech.ac.jp/news/2019/045695.html KYUSHU UNIVERSITY : https://www.kyushu-u.ac.jp/ja/researches/view/397 NIKKEI, Inc： https://www.nikkei.com/article/DGXLRSP523673_Z11C19A1000000/              

【Awards and Commendations】Atsushi Takeda(M1), Toriumi labo, received the Japanese Society for Artificial Intelligence (JSAI) 33rd Annual Conference 1.Name：Atsushi Takeda 2.Faculty/Graduate School, Department (Stream / Program) /Major/Year:(B4, M1, M2, D1, D2, D3) M1, Department of System Innovation,School of Engineering,Toriumi Laboratory 3.Name of award and short explanation about the award The Japanese Society for Artificial Intelligence(JSAI) Annual Conference Award 4.About awarded research Title: Simulation of Strategic Evolution in 5-player Werewolf Outline of research: This is a study of a simulation of strategy evolution for a 5-player werewolf, one of the regulations of the communication game “WereWolf”. We proposed a method for finding superior strategies using Bayesian inference, and clarified the non-convergence of strategy evolution. 5.Your impression & future plan I am honored to receive such a prestigious award. I would like to continue to devote myself to research activities.   PDF_jaws2019_poster_takeda

【Awards and Commendations】Atsushi Takeda(M1), Toriumi Labo, won 1st place of Werewolf League of the Tenth International Automated Negotiating Agents Competition (ANAC 2019). 1. Name：Atsushi Takeda 2. Faculty/Graduate School, Department (Stream / Program) /Major/Year M1, Department of System Innovation,School of Engineering,Toriumi Laboratory 3.Name of award and short explanation about the award Tenth International Automated Negotiating Agents Competition 2019 (ANAC 2019) Werewolf League 1st place 4.About awarded research In this competition, participants competes the strength of artificial intelligence which plays the communication game “WereWolf”. Creating strong agents requires AI technology that enables complex communication such as guessing information hidden by the other player and lying or persuading them. 5.Your impression & future plan I would like to thank the aiwolf-project, the organizer of ANAC2019, and other related people who have held and operated such a wonderful competition. I am very honored to be able to win the first international aiwolf competition. I will do my best to win the championship next year too.

【Awards and Commendations】Yuta SHIMIZU (M1) received Modi Memorial Jaya-Jayant Award at 　32nd International Symposium on Space Technology and Science (ISTS).

1. Name

Yuta SHIMIZU

2. Faculty/Graduate School, Department (Stream / Program) / Major

1st year of Master’s course of Department of Systems Innovation, School of Engineering

3. Name of award and short explanation about the award Modi Memorial Jaya-Jayant Award

An honorable award for developing and encouraging students established by the late Prof. V.J. Modi of the University of British Columbia in Canada, who had largely contributed to the student session of ISTS for many years.

4. About awarded research

“Influence of Lossy Compression on Optical Images of Martian Satellites and C-type Asteroids” The study for establishing the method to determine the best compression ratio of high-resolution images in space exploration missions which has the limitation of the transmission rate.

5. Your impression & future plan

Thanks to the great help of the members of my laboratory, I was able to win this prize. I really appreciate their support. I will keep working hard on my research.

【Awards and Commendations】 Hiroaki IGARASHI (M2)  received “Student Incentive Award” at  The Japanese Society for Artificial Intelligence (JSAI) 33rd Annual Conference 2019. (on 19th July 2019) 1.Name Hiroaki IGARASHI 2.Faculty/Graduate School, Department (Stream / Program) / Major Department of Systems Innovation, School of Engineering second-year master’s student 3.Name of award and short explanation about the award The Japanese Society for Artificial Intelligence (JSAI) 33rd Annual Conference Student Incentive Award (2019) https://www.ai-gakkai.or.jp/jsai2019/ (Japanese only) 4.About awarded research Title: Construction of Causal Networks for Risk Finding Considering Word Polarities Introduction: We consider the construction of causal networks about social events making use of text data widely present in this society. As a prospect, we aim to identify social events that contribute to changes in the performance of a certain company. 5.Your impression & future plan I am extremely honored to win the prize at JSAI. Without satisfied with this award, I would like to continue my research activities.  

【Awards and Commendations】Yunqian Zhang (D1), Takahashi lab, received Best Student Presentation Award at 16th Japan International SAMPE Symposium and Exhibition (JISSE-16) on 3rd Sep. 2019 1. Name: Yunqian Zhang 2. Faculty/Graduate School, Department (Stream / Program) / Major: Department of Systems Innovation, D1 3. Name of award and short explanation about the award: Best Student Presentation Award of 16th Japan International SAMPE Symposium and Exhibition (JISSE-16) 4. About awarded research: Improvement of dynamic mechanical properties of CFRTP sandwich structures 5. Your impression & future plan: It is my great honor to receive this best student presentation award. I would like to express my sincere appreciation to Professor Takahashi for his continuous contributions and kind guidance, as well as to all lab members. I want to take this opportunity to thank them all and share with them the pleasure of receiving this award. With the development of economic and environmental awareness, composite material is attracting more and more attention. I’m preparing myself to become an excellent and social responsible researcher, specifically in innovative composite material industry with the encouragement of this award.