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Yoshiyasu Han (Jiatai Pan) (M1) in Shibasaki laboratory received the Outstanding Presentation Award for the Graduate Student Session at the Japan Logistics Society Annual Conference

Date of Award：2025.9.13 Name, Faculty/Graduate School: Yoshiyasu Han (Department of Systems Innovation, Master Course, 1st year) Name of the award and a short explanation about the award： Outstanding Presentation Award for the Graduate Student Session (the Japan Logistics Society Annual Conference): This award is presented to graduate students who delivered outstanding research presentations at the society’s annual conference. About awarded research：I presented the results of my study titled “A Model-Based Analysis of Route Choice for Dry Bulk Vessels under the Red Sea Crisis”, which expanded upon the outcomes of the basic project for which I served as a teaching assistant in the spring semester. In this study, I applied statistical models to examine the impact of the Red Sea crisis on route selection behavior among dry bulk vessels. The analysis demonstrated that, while distance differences between routes remain a key determinant, a vessel’s country of registration and whether it is laden are also influential factors affecting route choice. Awardee’s impression & future plan：I am very honored to receive this prestigious award. I would like to express my sincere gratitude to Professor Shibasaki, Assistant Professor Tran, and all members of our laboratory for their guidance and support. I will continue to deepen my research and strive to make further contributions to the field.
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Osamu SAITO (Former Research Associate), Weikun CHEN (D3), Zeyu DONG (Ph.D. Graduate), Yoji OKABE (Professor) in Okabe laboratory received Best Paper Award at the Japan Society for Non-Destructive Inspection

Date of Award：2025.6.20 Name, Faculty/Graduate School: Osamu SAITO (Institute of Industrial Science, Former Research Associate), Weikun CHEN (Department of Systems Innovation, D3), Zeyu DONG (Department of Systems Innovation, Ph.D. Graduate), Yoji OKABE (Institute of Industrial Science, Professor) Name of the award and a short explanation about the award： Best Paper Award at the Japan Society for Non-Destructive Inspection The awards will be presented to papers published in JOURNAL of The Japan Society for Non-Destructive Inspection, in 2023 or 2024, that are recognized for academic and technical excellence, with the aim of improving non-destructive inspection technology. About awarded research：This paper focuses on the detection of delamination in honeycomb sandwich structures used in the aircraft and space industries through proposing a new non-destructive inspection method that utilizes the dispersion characteristics of guided waves. This inspection method can be easily applied to complex shapes and large-scale structures, which requires a substantial effort to inspect using conventional techniques. In addition, non-contact inspection was achieved using laser ultrasonic technology, and the accuracy of delamination detection was dramatically improved through the development of a signal processing method based on experimental data. The results presented in this paper are expected to contribute to the efficiency and cost reduction of maintenance work on aircraft structures, as well as ensuring safety, and to the academic development in the field of non-destructive testing. Awardee’s impression & future plan：We are really honored to receive this prestigious award. Our laboratory will continue to work on research into ultrasonic damage detection methods and hope to make further contributions to the development of the fields of non-destructive testing and structural health monitoring.
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Project Researcher Kaira Sekiguchi, Professor Yukio Ohsawa and Emeritus Professor Koichi Hori received the AI ELSI Award (Special Category) from the Japanese Society for Artificial Intelligence

On 29th May 2025, Project Researcher Kaira Sekiguchi, Professor Yukio Ohsawa of the Department of Systems Innovation, and Emeritus Professor Koichi Hori of The University of Tokyo; Executive Director, National Institutes for the Humanities, received the AI ELSI Award (Special Category) from the Japanese Society for Artificial Intelligence.

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Shohei, Uranaka (Assistant Professor) received Sawamura Award at The Iron and Steel Institute of Japan (ISIJ)

Date of Award：2025-03-08

Name, Faculty/Graduate School, Department (Stream / Program) / Major: ：Department of Systems Innovation, Kawabata Lab

Name of the award and a short explanation about the award：”Sawamura Award” An award presented to authors of papers published in the English-language academic journal “ISIJ International” during the previous year that are deemed to be the most academically and technically beneficial.

About awarded research：”Quantitative Analysis of Hardening Due to Carbon in Solid Solution in Martensitic Steels” In carbon steels, controlling the hardness of the martensite microstructure is important for achieving high strength and high performance. However, while it is understood that the hardness of martensite is influenced by solid solution carbon, dislocations, grain size, and precipitates, the extent of each influence has not been clearly explained. In this paper, we quantitatively evaluate the influence of solid solution C on martensite hardness and attempt to elucidate the origin of martensite hardness. By quantitatively determining solid solution C through electrical resistivity measurements and precisely quantifying dislocation density and microstructure, we quantitatively evaluated the effects of solid solution C, dislocations, precipitates, grain boundaries, and restained austenite on strength and hardness, clearly demonstrating that solid solution C significantly contributes to strength development.

Awardee’s impression & future plan：I am truly honored to receive this prestigious award. I would like to express my sincere gratitude to my co-authors for their invaluable guidance and support in the writing of this paper. I will continue to devote myself to contributing to the advancement of steel materials.