On July 24, 2024, interim presentations by graduating research students were held.
This year, the research topics covered a wide range of fields, including traffic flow analysis, image and audio recognition, posture and sign-language analysis using skeletal detection, emotion estimation, natural language processing, translation technologies, and music generation. These studies employed advanced methodologies such as simulation techniques, deep neural networks, and prompt engineering. By carefully examining the limitations of existing technologies and exploring their potential applications, each project aimed to generate new insights and propose meaningful improvements. The presentations reflected the sustained effort and steady growth of each student, making the session highly significant and rewarding.
For the individual research titles, please refer to the “Research” tab.
