Welcome - ようこそ - 歓迎!
I'm SUZUKI, Atsushi (鈴木 惇), Assistant Professor (UK Lecturer) at King's College London, Visiting Researcher at the University of Tokyo.
My research interest is applied mathematics for machine learning. I have been working on differential-geometric machine learning and learning theory.
Email: atsushi.suzuki.rd AT gmail.com
News:
- Received complimentary registration to NeurIPS 2023 (awarded for top 8% reviewers) (2023.11.20).
- Our paper has been accepted to ICDM 2023 (2023.09.03).
- Gave an invited talk in KDH, IJCAI 2023, Macao (2023.08.20).
- Gave an invited talk at University of Science and Technology Beijing (USTB, 2023.07.26).
- Gave an invited talk in the 2nd DSS (Data Science School) Symposium at the University of Tokyo (UTokyo, 2023.07.07).
- Working at the University of Tokyo as a Visiting Researcher (2023.05.01).
- Our paper has been accepted to ICML 2023 (2023.04.25).
About me
Research Interests: Applied Mathematics for Machine Learning
- Small machine learning
by Riemannian-manifold-based (including hyperbolic-space-based) machine learning and optimization. - Evaluating machine learning's limitation
by learning theory and information theory. - Manipulating and understanding multi-media data (e.g., images, languages, audio, etc.)
by deep learning, geometry, and algebra.
Career
- 2022.08-Present: Assistant Professor (UK Lecturer), Department of Informatics, Faculty of Natural, Mathematics & Engineering Sciences,
King's College London, United Kingdom. Personal webpage at King's College London - 2023.05-present: Visiting Researcher, Department of Mathematical Informatics, Graduate School of Information Science and Technology,
The University of Tokyo, Japan. - 2020.04-2022.08: Assistant Professor (UK Lecturer), School of Computing and Mathematical Sciences,
University of Greenwich, United Kingdom.
Education
- 2020.03: Doctor of Information Science and Technology (Department of Mathematical Informatics),
The University of Tokyo, Japan. Supervisor: Professor Kenji Yamanishi - 2017.03: Master of Information Science and Technology (Department of Mathematical Informatics),
The University of Tokyo, Japan. Supervisor: Professor Kenji Yamanishi - 2015.03: Bachelor of Engineering (Department of Mathematical Engineering and Information Physics),
The University of Tokyo, Japan. Supervisor: Professor Shinji Hara
Fellowships and Grants
- Wuhan University-Duke Kunshan University Sino-foreign Joint Research Platform Seed Funding Grant (2023-)
- Henan Provincial Foreign Experts Program (2022-)
- Daiwa Foundation Awards (Co-PI) (2021.06-2022.03)
- JSPS Research Fellowship for Young Scientists (DC2) (2018.04-2020.03)
Academic Services
- Session Chair: IJCAI (2023)
- Topic Editor: Frontiers in Big Data
- Reviewer: JMLR, NeurIPS (2023), ICLR (2024), IPSJ-TOD
Awards
- NeurIPS 2023 Complimentary Registration (awarded for top 8% reviewers)
Languages
- Fluent: English, Japanese (Native), Chinese (Mandarin)
- Others: Malay-Indonesian, Cantonese
- Programming: C++11, Python 3, Ruby on Rails, Tensorflow 2, MATLAB, Perl