Welcome to Slavakis Lab
We are a research team (est. April 2021) at the Institute of Science Tokyo (formerly known as Tokyo Institute of Technology) that designs computational methods for signal processing and machine learning.
Our designs aim at a wide variety of themes and applications. Examples are:
- reinforcement learning;
- nonparametric regression;
- manifold learning;
- biomedical imaging;
- network time-series analysis;
- online learning and adaptive filtering;
- optimization with a focus on nonexpansive and monotone mappings; and
- quantum signal processing and machine learning.
信号処理と機械学習の研究を行なっている。信号やデータの背景に 潜む幾何学的構造を抽出し、これを最大限活用することによって、 これまでの信号処理と機械学習を凌駕する柔軟なフレームワークの 構築を目指している。広い領域への応用を視野に入れているが、現 在、特に医用イメージング、脳ネットワーク、適応信号処理、確率 近似と強化学習への応用に注力し、研究を進めている。
We are part of the Department of Information and Communications Engineering and the Human Centered Science and Biomedical Engineering Major of the Institute of Science Tokyo.
We are a small team, but we wish to grow! We are looking for passionate new PhD/MSc/BSc students as well as PostDocs to join the team (more info) !
We are currently looking for ambitious MSc/PhD students to promote the Lab’s research also to the theme of data fusion and multimodal learning from biomedical data.
News
March 2025:
Yuki, Qihang, Zeling and Kotaro have graduated! Congrats! Kotaro will continue in our Lab as an MSc student. Mr. Yuma Takeda has joined the Lab as an MSc student, while Mr. Kazuki Haishima will be a Lab member as a BSc student. Welcome aboard All!
March 2025:
Yuki’s latest work on nonparametric Bellman mappings and distributed reinforcement learning appears as a preprint in [arXiv].
March 2025:
Yuki and Kotaro were awarded our department’s graduate and undergraduate Outstanding Student Award (情報通信系優秀学生賞), respectively. Congrats!
January 2025:
Shiwen’s work on graph quantum encoding and classification will be presented at the IEEE International Conference on Quantum Communications, Networking, and Computing (QCNC), Nara, Japan, March 31 - April 2, 2025 [arXiv].
December 2024:
Dr. Kyohei Suzuki joins the Lab as an assistant professor. Welcome aboard Kyohei!
November 2024:
Yuki and Minh’s work on nonparametric Bellman mappings for reinforcement learning appears in the IEEE Transactions on Signal Processing.
October 2024:
Ms. Jiayi Wang joins the Lab as an international-exchange student. Welcome aboard Jiayi!
October 2024:
Mr. Lin Lin joins the Lab as an MSc student. Welcome aboard Lin!
September 2024:
Minh establishes a new role for Gaussian-mixture models as approximators of Q-functions in reinforcement learning via Riemannian optimization in arXiv and TechRxiv.