Faculty - TU Yunhao |

（Last updated : 2024-04-08 19:33:51）

TU Yunhao

Department / Course College of Engineering Department of Computer Science

Information Systems Center

Job Assistant Professor

Academic background
2020/04～2023/03	Doctoral Program (2nd Semester) Department of Social Informatics Graduate School of Informatics Nagoya University Finished InformaticsPhD (Informatics)
2018/04～2020/03	Doctoral Program (1st Semester) Department of Social Informatics Graduate School of Informatics Nagoya University Finished Informatics

Belonging society
	IEEE
	Information Processing Society of Japan
	Japan Information-Culturology Society
	The Society of Socio-Informatics
	Society for Tourism Informatics

Present specialized field
Intelligent Informatics, Social Informatics, Tourism Informatics

Curriculum Specialized
Seminar in Computer Science A
Seminar in Computer Science B

Book and thesis
Papers	Support system for road price formulation using machine learning Studies in Science and Technology Vol.11 (No.2),pp.131-145 (Co-authored) 2022/12
Papers	Image style transfer and image release for tourism promotion in local governments Journal of Global Tourism Research Vol.7 (No.2),pp.137-144 (Co-authored) 2022/10

Academic conference presentation
2023/12	An Image Processing and Utilization System Using Deep Learning for Tourism Promotion (2023 IEEE 10th Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), pp. 1-6)
2023/10	A Land Evaluation Support System using Aerial Images and Land Data for Land Use Classification (IEEE 12th Global Conference on Consumer Electronics (GCCE), pp. 682-686)
2022/10	Proposals and practices for open image data processing and promotion in local governments (2022 IEEE 11th Global Conference on Consumer Electronics (GCCE), pp. 496-500)
2022/03	A System for Determining Road Prices Based on Machine Learning Using Public and Private Sector Data (2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech), pp.357-360)
2021/10	Development of Land Use Judgment System using Deep Learning to Support Land Evaluation (2021 IEEE 10th Global Conference on Consumer Electronics (GCCE), pp.332-336)