International Conference on Artificial Intelligence and Cybersecurity

Kazuyuki Matsumoto

Biography

In 2008, I completed my doctoral program in the Department of Engineering at the Graduate School of Engineering, Tokushima University, and earned a Doctor of Engineering degree.In October 2009, he was appointed as an Assistant Professor at the Faculty of Engineering, Tokushima University, and since April 2020, I have been serving as an Associate Professor at the Graduate School of Social and Industrial Science and Engineering, Tokushima University. In 2024, I established the TMAK (Trustworthy Multimodal Affective Intelligence and Knowledge Engineering) Laboratory and am actively promoting the recruitment of AI/data science researchers from both domestic and international institutions. His research fields include multimodal emotion analysis technology, technology for extracting emotions from language information and its applications (such as care and welfare robots), natural language processing, and slang analysis and reputation analysis for toxic expression detection on social media. I am a member of the Japanese Society for Natural Language Processing, the Japanese Society for Kansei Engineering, Information Processing Society of Japan, and the Association for Affective Computing and the Japanese Society for Artificial Intelligence .His publications include ?Information Design and Communication,? ?Data Preprocessing for AI and Machine Learning,? and ?Information Systems - Intelligent Information Processing Systems, Natural Language Processing, Affective Computing and Artificial Intelligence, and an Attempt to Build a Conversational Nursing Robot.? He has received awards such as Best Paper/Presentation Awards at international conferences and Sponsor Awards at domestic conferences.

 

Research Interest

TMAK; Emotion estimation, Mental health application, Information Recommendation - Application for stress estimation model and mild cognitive illness detection

Abstract

We are conducting research on several main themes at TMAK: Trustworthy Multimodal Affective Intelligence and Knowledge Engineering Lab.First, we are researching how to estimate human emotions from multimodal information (audio, language, images) and apply this to assist in the diagnosis of mental disorders, mental health, and dementia. Second, we are analyzing interest and reputation information from diverse web reviews and social media posts to utilize it for information recommendation. Third, we are developing empathetic dialogue systems by leveraging the recent rapid advancements in multimodal large-scale language models.In all of these studies, feature extraction from large-scale data is necessary, and a big data analysis platform is essential. Our laboratory is conducting research on AI model lightweighting and is developing language models, emotion estimation, and stress estimation algorithms that can run on local edge devices.In this presentation, we will discuss our current main research themes?stress estimation models and multimodal cognitive function estimation technology?by presenting examples of previous research and outlining our solutions using our proprietary technology, as well as future prospects.