INDUSTRY, INNOVATION AND INFRASTRUCTURE

My research aims to elucidate the pathogenic mechanisms of biliary atresia (BA) by investigating the epigenetic impact of TNFA and IFNG on stem cells from human exfoliated deciduous teeth (SHED). Spec [...]

This research proposes a unified learning framework for fine-grained motor imagery (MI) EEG decoding. The framework analyzes not only coarse-grained body parts such as arms and legs, but also finer-gr [...]

In the fabrication process of power device, there are some high thermal budget processes, such as oxidation and diffusion, can cause dislocation propagation and lifetime reduction in Si wafer, which d [...]

This study aims to elucidate the mechanisms behind rainfall-induced slope disasters and to develop a novel landslide prediction and early warning system utilizing IoT and AI technologies. In particula [...]

Control of the selectivity in C(sp3)–H functionalization through radical pathway by using intermolecular noncovalent interaction

Department of Molecular and Material Sciences, Interdisciplinary Graduate School of Engineering Sciences

In contrast to the great success in C(sp2)–H functionalization, transition metal-catalyzed C(sp3)–H functionalization through organometallic intermediates is still developing due to its relatively low [...]

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 [...]

Epigenetic effect of interferon-gamma and tumor necrosis factor-alpha on cholangiogenesis

Toward Natural Human-Machine Interaction through Fine-grained EEG Decoding

The Study in Si Wafer during IGBT High Thermal Budget Process and Its Optimization

Rainfall Effects on Slope Stability of the Groundwater–Surface Water Coupling Model

Control of the selectivity in C(sp3)–H functionalization through radical pathway by using intermolecular noncovalent interaction

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

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