Our current research focuses on developing approaches for future intelligent applications such as AI-generated content identification, bioinformatics, and EEG processing. We aim to leverage unique computational strategies to solve significant challenges in digital trustworthiness, healthcare, and neuroscience, contributing to the broader field of intelligent society.
・AI-Generated Content Identification: We develop sophisticated algorithms to detect and differentiate between authentic and artificially generated/manipulated media content to address growing concerns over digital media trustworthiness.
・Bioinformatics: We seek to understand complex biological signals by applying machine learning techniques, and to develop systems for personal medical monitoring and daily assistance.
・EEG Processing: We apply advanced signal processing and neural network techniques to develop applications and systems for medical diagnostics and brain-computer interfaces.
Artificial Image Generation and Identification
Artificial Image Generation and Identification
Detection of Deepfake
Fake
Real
Detection of AI-Generated Images
Bioinformatics
EEG Processing
