RESEARCH

タンパク質の特異的ラベル化は、その局在やタンパク質間相互作用の解析を可能とするライフサイエンス研究における重要な基盤技術である。本研究では、標的特異的な光ラベル化法を応用して、膜タンパク質の局在解析および関連タンパク質との相互作用解析を可能とする手法を確立した。今後、脳神経科学を専門とするオーストリアIST 研究所重本教授と連携し、光ラベル化を応用したグルタミン酸受容体の電子顕微鏡一分子局在解析、 [...]

This study examines how Japanese and Chinese non-government actors worked overcoming rivalry system to establish a communication network during the cold war. This study examines the following three to [...]

Defense Mechanism for Machine Learning-based Adversarial Attacks and It’s Application on Image Recognition

Department of Information Science and Technology, Graduate School of Information Science and Electrical Engineering

This study looks at the security problems associated with the current hot topic, machine learning itself. I focus my research on machine learning models for image recognition and propose a solution to [...]

AI has shown strong potential in classical software engineering, but its application to Quantum Software Engineering (QSE) remains challenging due to LLM hallucinations caused by limited understanding [...]

Traditional deep learning algorithms usually lack of robustness and adaptivity, and more importantly, they are suffering from vulnerable to adversarial attacks. Here we propose a novel learning paradi [...]

A Comparative Study of the Publication Motives and Characteristics of Corporate Sustainability Reports in Japan and China: An Analysis of Sustainability Reports by Automotive Manufacturers

Department of Economic Systems, Graduate School of Economics

In recent years, with the globalization of economic activities, corporate scandals, and global environmental issues, interest in sustainability (CSR) has rapidly increased. In the automotive industry, [...]

False memory refers to the phenomenon where individuals recall content that does not correspond to actual events. It not only leads to behavioral bias but also affects the understanding and perception [...]

As global energy demand rises, decarbonizing the transport sector—which contributes 23% of global CO₂ emissions—has become critical to achieving international climate targets. Although electric buses [...]

特異的ラベル化を用いた膜タンパク質の高解像度局在・インターラクトーム解析応用

A analysis of cold war history on the postwar Japan-China relations

Defense Mechanism for Machine Learning-based Adversarial Attacks and It’s Application on Image Recognition

AI-assisted Testing and Debugging of Quantum Programs

Robust Feature Learning based on Novel Self-Organization and Reservoir Networks

A Comparative Study of the Publication Motives and Characteristics of Corporate Sustainability Reports in Japan and China: An Analysis of Sustainability Reports by Automotive Manufacturers

An EEG Study on the Influence of Olfactory Context on False Memory Formation and Retrieval

Penetration of hydrogen fuel cell buses modeling and environmental impact assessment

“Future-Creation (MIRAI)” Course Kyushu University SPRING program