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Knowledge Media Labolatory
Professor / HAYAMA Tessai
- Technologies that support the knowledge society
- Informatics that is mindful of today’s society—people and their activities
- Valuing commitment and intuition as well
Professor / HAYAMA Tessai
He is a professor specializing in information engineering. When students choose their research topics, he respects what they want to pursue and often meets with them individually for consultations. He frequently brings souvenirs to the lab, and he enjoys Niigata’s food and sake and is interested in Nagaoka’s culture.
Research Content
We conduct research and development on knowledge media technologies that make advanced computer use easier for people. While information media include text, speech, and video, knowledge media aims to tailor these to users’ individuality and situations by providing knowledge processing and interfaces that enable effective use. Our research includes e-learning support that facilitates deep thinking, information services adapted to individuals’ behaviors and preferences, dialogue systems based on multimodal information analysis, analysis of information diffusion on social networking services(SNS), and the underlying fundamental technologies for these.
Research examples
A Day in the Lab
After joining the lab, each student decides on their research topic through discussions with the professor and studies the related technologies. The lab covers a wide range of projects, including system development and data analysis, and works on diverse research themes. Since there is no fixed core time, students are expected to make their own plans and study steadily and diligently. Once research results are ready, there are opportunities to present them at conferences such as the Information Processing Society of Japan(IPSJ), the Institute of Electronics, Information and Communication Engineers(IEICE), the Japanese Society for Artificial Intelligence(JSAI), as well as related international conferences.
Knowledge Media Labolatory
Thesis Subjects
- (M)HAR-DCWGAN:Dual-Conditional Wasserstein GAN for Human Activity Recognition Data Synthesis
- (M)Predicting Image Diffusion in Social Networks via Visual Interest Similarity
- (M)A Study on Bottom-Up Handwritten Character Recognition Using Inertial Sensors in Smartwatches
The number of
PhD Graduates
1
Major employers of Graduates
- Mitsubishi Electric Corporation
- Sakeai Inc.
- MITSUI E&S Co., Ltd.
- NTT TechnoCross Corporation
- YKK Corporation
- TOPPAN Inc.
- MOBIUS Co., Ltd.
- AMANO Corporation
