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Shunsuke Kitada
Ph.D student working on Deep Learning
Department of Applied Informatics, Graduate School of Science and Engineering, Hosei University
S603, 3-7-2, Kajino-cho, Koganei-shi, Tokyo 184-8584, Japan
Intelligent information processing laboratory
Shunsuke Kitada （北田 俊輔 in Japanese) is a Ph.D student at Major in applied informatics, graduate school of science and engineering, Hosei University under the supervision of Prof. Hitoshi Iyatomi. His research interests include deep learning-based natural language processing, computer vision, medical image processing, and computational advertising.
His personality traits can be summarized as follows:
- ❤️ Love research and development. He is enjoying research life, and he is currently focusing on three research topics simultaneously, e.g., natural language processing, medical image-based computer vision, computational advertising.
- 📝 Every day read and implement the SoTA models. He has released many re-implementations of models using mainly Chainer and PyTorch. Therefore, based on state-of-the-art cases, he can advise on deep learning-based product design.
- 😄 High technical communicativity. Summarize what he made and what he studied, and spread such information. This shows that he can input and output regularly.
The resume is available in PDF .
Interests
- 🤖 Natural Language Processing
- 💻 Computer Vision
- 🏥 Medical Image Processing
- 📃 Computational Advertising
Education
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PhD in Engineering, Current
Graduate School of Science and Engineering, Hosei University
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MSc in Engineering, 2020
Graduate School of Science and Engineering, Hosei University
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BSc in Engineering, 2018
Hosei University