【Awards and Commendations】Takayuki ITABASHI, Nishibayashi Labo, (D3) received CSJ Student Presentation Award at the 101st CSJ annual meeting.

1. Name
Takayuki Itabashi

2. Faculty/Graduate School, Department (Stream / Program) / Major
School of Engineering, Department of Systems Innovation, D3

3. Name of award and short explanation about the award
CSJ Student Presentation Award: Award to Ph.D course students for good presentation contents and abilities

4. About awarded research
Development of C-N bond formation reactions from molybdenum-nitride complex with carbon-centered electrophiles directed toward formation of organonitrogen compounds

5. Your impression & future plan
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】Hiroki, Toda (D3) received CSJ Student Presentation Award 2021.

1. Name
Hiroki Toda

2. Faculty/Graduate School, Department (Stream / Program) / Major
School of Engineering, Department of Systems Innovation, D3

3. Name of award and short explanation about the award
CSJ Student Presentation Award 2021: Award to graduate students for outstanding research and presentation.

4. About awarded research
Manganese-catalyzed oxidative conversion of ammonia into dinitrogen.
https://www.csj.jp/nenkai/101haru/data/vol74-06.pdf

5. Your impression & future plan
I am very honored to receive this award. I will continue to do my best in research.

2021 Degree Conferral Ceremony Winners of each award.

 

Dean’s Award for Outstanding Achievement, Graduate School of Engineering（Doctor）
Yuya ASHIDA 　(Graduated in September)　/Professor Nishibayashi

Dean’s Award for Outstanding Achievement, Graduate School of Engineering（Master）
Masanori HIRANO　(Graduated in September)　/Professor Izumi

“SI Outstanding Graduate Student Award”
Shigeki KANEKO  /Professor Yoshimura

“SI Outstanding Graduate Student Award”
Erika TANAKA  /Professor Kato

“SI Outstanding Graduate Student Award”
Kazuhide MIMURA 　/Professor Nakamura

“Miyoshi Award” Department of Systems Innovation
Hiroaki KOSUGE 　/Professor Kawabata

“Miyoshi Award” Department of Systems Innovation
Yuta SHIMIZU 　/Professor Miyamoto

“Tamaki Award” Department of Systems Innovation
Souta NISHIDA 　/Professor  Kato

Scholarship reward Award, The Japan Society of Naval Architects and Ocean Engineering
Kouta KISHI 　(Graduated in September)　/Professor Shibanuma

ABS Award, American Bureau of Shipping
Daichi MITSUHASHI 　/Professor Kanno

 

【Awards and Commendations】Takuya Yamaguchi (M2) received Logistics Research Encouragement Award at the Japan Logistics Society.

1. Name: Takuya Yamaguchi

 

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

 

3. 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.

 

4. About awarded research

In my master thesis, “Development of the global logistics intermodal network simulation model with large-scale parallel incremental assignment and application to the terrestrial ASEAN,” I proposed the new model that can solve the issues in the past assignment models. In addition, I conducted policy simulations mainly focusing on the terrestrial ASEAN using the proposed model, and verified the effects of several possible infrastructure policy scenarios.

 

5. Your impression & future plan

I am very proud to have received this prestigious award for my master thesis, as the compilation in my graduate school. From the beginning of my study, I have had many opportunities including fieldwork abroad and joint research, and have been educated through discussions in lab activities. I would like to express my deep gratitude to my supervisor Prof. Shibasaki and all the people involved in my study. After graduation, I am going to make further efforts to give back to society what I have learned at The University of Tokyo.

【Awards and Commendations】The team in which Kodai Yasuda(M1), Liwen Murong and Minato Nakashima(M2) from Shibasaki Lab received 1st place in the category All-Student Teams at the first United Nations AIS Big Data Hackathon.

 

==Award date==
22nd September 2020

1.Name
Kodai Yasuda, Liwen Murong, Minato Nakashima

2.Faculty/Graduate School, Department (Stream / Program) / Major
(Kodai Yasuda) M1 student, Department of Systems Innovation, School of Engineering
(Liwen Murong & Minato Nakashima) M2 student, Department of Systems Innovation, School of Engineering

3.Name of award and short explanation about the award
(Name) 1st place in All-Student Teams at the first United Nations AIS Big Data Hackathon
(Explanation) Participating in the AIS Bigdata Hackathon hosted by United Nations Conference on Trade and Development (UNCTAD), and achieving the 1st place among 17 all-student teams.

4.About awarded research
AIS Hackathon is a three-day event, focusing on exploring novel findings by using 3.6TB AIS data. AIS data is collected by equipment installed in ships, consisting of static information, such as total weight of ships and built year, and dynamic information collected every few seconds or minutes, such as speed and destination. All members including Mr. Hoshi Tagawa (Tokyo Tech) and Mr. Takumi Kamata (Hirosima Univ.) from our research team are conducting AIS-related research. During AIS Hackathon, the influence of COVID-19 on vessel movement is revealed. Based on findings from various perspectives, we are able to win the first place among all-student teams.

5.Your impression & future plan
This award is an impetus for us to continue doing our best in the following research.
Thank Prof. Shibasaki for encouraging us to participate in this event and supporting us during the event.

 

 

【Awards and Commendations】Gutao Shen, Sixin Yan, Yue Wang, Xiaohang Tong, and Takumi Morishima (M2/M1/B4, Takahashi lab.) received Best Bridge Award (First Price of Category B) of 2020 IHI/SAMPE Japan Student Bridge Contest

1.Name: Gutao Shen, Sixin Yan, Yue Wang, Xiaohang Tong, and Takumi Morishima

2.Faculty/Graduate School, Department (Stream / Program) / Major: Department of Systems Innovation, M2/M1/B4

3.Name of award and short explanation about the award:Best Bridge Award (First Price of Category B) of 2020 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 twice with our delicate optimization and full preparations since last year. 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), and Takahashi Lab of the University of Tokyo 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. in 2021, and our team share a common goal of ranking top 3 in the world final. 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.

 

  【Awards and Commendations】 Hisaki Matsuda, Gutao Shen, Hao, Wu, Johan Friemann (M2, Takahashi lab.) received Encouraging Prize of SAMPE Japan.

Date:31st July  2020

1. Name:Hisaki Matsuda, Gutao Shen, Hao Wu, Johan Friemann
2. Faculty/Graduate School, Department (Stream / Program) / Major: Department of Systems Innovation, M2
   
   
3. Name of award and short explanation about the award:

Encouraging Prize of SAMPE Japan

4. About awarded research：Best Bridge Award (First Price of Category B) of IHI/SAMPE Japan Student Bridge Contest

5. Your impression & future plan

It is with great privilege and honor that we have received the award and got qualified for the international student bridge contest in US. First of all, we would like 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. Unfortunately, the international student bridge contest which should have been held in the US in May 2020, has already been canceled due to Covid-19 but our team will still make full preparations and wait for its reopening. For achieving our 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.

【Awards and Commendations】 Kazuki Shibanuma received The JACM Young Investigator Award　 from Japan Association for Computational Mechanics (JACM).

 

Date:　22nd July 2020

1. Name: Kazuki Shibanuma
2. Department: Department of Systems Innovation
3. Name of award and short explanation about the award:

The JACM Young Investigator Award（An award given to researchers under the age of 40 who have showed outstanding achievements in the computational mechanics）

4. About awarded research

Proposal of innovative numerical models for quantitatively explaining/evaluating complicated fracture phenomena in solids and structures

5. Your impression & future plan

I would like to continue high-quality research activities in the engineering with both academic and practical value.

【Awards and Commendations】Kei Kanamoto (graduated in March 2020) and other authors received　Maritime Economics & Logistics Best Conference Paper Award at Annual Conference of International Association of Maritime Economists. 1. Kei Kanamoto(a), Liwen Murong(b), Minato Nakashima(b), and Ryuichi Shibasaki(c) 2. (a) Department of Systems Innovation (Graduated in March 2020), Graduate school of Engineering (b) M2 student, same as above (c) Associate Professor, Resilience Engineering Research Center, Department of Techonology Management for Innovation (TMI) 3. Name of award and short explanation about the award International Association of Maritime Economists (IAME) is an association that not only researchers, but practitioners, consultants, and governmental officers on the maritime shipping and logistics field join. This year’s annual conference was held online on June 10 to 13, hosted by Hong Kong Polytechnic University, having more than 220 presentations. The paper “Can Maritime Big Data be Applied to Shipping Industry Analysis? – Focusing on Commodities and Vessel Size of Dry Bulk Carriers” submitted from Shibasaki Lab was awarded “Maritime Economics & Logistics Best Conference Paper Award” as one of the four best papers of the conference. 4. About awarded research The paper is based on the Master thesis that Mr. Kanamoto, the first author of this paper, submitted at the end of last fiscal year. First, the global cargo flows shipped by dry bulk carriers were estimated on a port-basis by commodity including iron ore, coal, grain, fertilizer, and iron and steel. Subsequently, the vessel type selection model was developed by commodity, considering the difference in the effect of each variable, such as trade volume, shipping distance, draught limitation of export and import ports, and size limitation to transit canals, then applied to forecast the future shipping demand by vessel type. 5. Your impression & future plan The Automatic Identification System (AIS) data, which records the movements of all kinds of vessels over a certain size, is a big data in the maritime shipping field; however, the cargo information are not included. This paper enabled to estimate the cargo flow by combining other available information. We consider that the novelty and innovativeness of our approach was proved by this award, which will encourage the advancement of our research further. (Ryuichi Shibasaki) The Japan Maritime Daily (24th/June/2020) https://www.jmd.co.jp/article.php?no=258236