Supervised Students
Koji MATAUDA
- Research Theme: Personalized Federated learning
- Undergraduate Student, Osaka University （2020.4-）
Misato HORIUCHI
- Research Theme: Algorithms for computational notebook with data
- Undergraduate Student, Osaka University （2020.4-）
Keizo HORI
- Research Theme: Spatial data partitioning by deep reinforcement learning
- Master Course Student, Osaka University（2020.4-）
Tomoya OKUNO
- Research Theme: Developing deep neural networks for material informatics
- Master Course Student, Osaka University （2019.4-）
Shinya YAMADA
- Research Theme: Estimating land prices by using deep neural networks with satellite images
- Undergraduate Student, Osaka University（2019.4-2020.3）
Shohei YAMASAKI
- Research Theme: Deep Learning for Predicting time-series Graphs.
- Undergraduate Student, Osaka University (2018.4 − 2019.3)
- Master Course Student, Osaka University (2019.4 − now)
- visitied Shanghai Jiao Tong University （2019.9-2020.10）
Koji WADA
- Research Theme: Periodical Trajectory Pattern Mining from Big Trajectory Data.
- Undergraduate Student, Osaka University (2018.4 − 2019.3)
Kei Harada
- Research Theme: Attribute Correlation Pattern on Urban Sensing.
- Undergraduate Student, Osaka University (2017.4 − 2018.3)
- Master Course Student, Osaka University (2018.4 − 2020.03)
- visitied Shanghai Jiao Tong University （2018.8-2018.9）
Jiahao YU
- Research Theme: Map-matching algorithm over incomplete road networks.
- Research Student, Nagoya University (2014.10 − 2015.3)
- Master Course Student, Nagoya University (2015.4 − now)
Sowa HASHIMOTO
- Research Theme: Developing a Life-log System using Semantic Complex Event Processing.
- Undergraduate Student, Nagoya University (2015.4 − 2016.3)