2023年度,Keio-SPRINGのプロジェクトを活用して,米国のカーネギーメロン大学に1年間Research Associateとして滞在しました.滞在中は現地の学生と共に研究を行い,研究に対する姿勢や,研究の進め方など,日本とは異なる部分が多くあり,非常に有意義な時間を過ごすことができました.今後はこの経験を自身の研究に活かし,さらに後輩にも伝えていきたいと思っています.
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理工学研究科 孟 継坤
Synthesis of galactooligosaccharides and their immune activity through signal pathways
Galacto-oligosaccharides (GOS) is composed of a chain of 1~n galactose units with a sucrose terminal unit, which has many useful biological activities, especially immune activity. However, it is still difficult to total synthesis of GOS. In this year, I successfully accomplished stereoselective synthesis of α-GOS (n=1~8) with boron-mediated aglycon delivery (BMAD) method, which is developed in our lab for the stereoselective synthesis of 1,2-cis glycosides. The most effective α-GOS found in the evaluations will be used as lead compounds for vaccine adjuvants to stimulate human immunity and for therapeutic agents in the future.
理工学研究科 鹿島 柾
理工学研究科 王 卓立
Gait Anomaly Detection System for Ubiquitous Assistance in Daily Life
By constantly seeking innovative solutions and pushing the boundaries of knowledge, I aspire to contribute to various fields such as technology, data analysis, and problem-solving. The ability to collect and analyze data, optimize algorithms, and draw meaningful insights can have a profound impact across different industries. By continually adapting to emerging trends and collaborating with experts in different domains, I look forward to leveraging my skills and knowledge to make a significant contribution, create value, and drive positive change wherever I go.
理工学研究科 金 航
理工学研究科 杉田 俊平
経路誘導による多光源照明計算の効率化
通信技術の発展とハードウェアの向上により,IoT技術が普及し始めており,我が国においても仮想空間と現実世界が接続されたSociety 5.0の実現に向けて,産官学の連携を行い積極的に取り組まれている.このような環境において,CG技術は人とコンピュータの間を接続する視覚的なインタフェースとして,ますます重要性が増していくと考えている.ゆえに CG技術の知見を活かして,仮想世界と現実世界の懸け橋となる技術者を目指している.
理工学研究科 清水 俊祐
理工学研究科 兒嶋 佑太
3次元CNNと⾚外線応⼒測定によるCFRP構造物の⽋陥予測
In this study, a machine learning model is developed for prediction of three-dimensional information of defect from two-dimensional stress distribution of carbon fiber reinforced plastic (CFRP). A model of prosthetic leg made by CFRP is chosen. The graph neural network or transformer is employed. Both experimental data and numerical analysis results are used as the training data of stress distribution. Infrared stress analysis is used for obtaining the experimental data. The finite element analysis is performed to obtain the simulation results. Especially, the homogenized finite element analyses are conducted for the plain weave microstructure and unidirectional microstructure.