Naoya Takeishi (Preferred)
Naoya Takeishi
The University of Tokyo
- Joined July 2019
Names
Emails
****@riken.jp (Confirmed)
, ****@ailab.t.u-tokyo.ac.jp (Confirmed)
, ****@nifty.com (Confirmed)
, ****@gmail.com (Confirmed)
, ****@hesge.ch (Confirmed)
, ****@a.riken.jp (Confirmed)
, ****@g.ecc.u-tokyo.ac.jp (Confirmed)
Personal Links
Education & Career History
Lecturer
The University of Tokyo (u-tokyo.ac.jp)
2023 – Present
Postdoc
HES-SO (hesge.ch)
2020 – 2023
Postdoc
RIKEN (riken.jp)
2018 – 2020
PhD student
The University of Tokyo (u-tokyo.ac.jp)
2015 – 2018
Advisors, Relations & Conflicts
Expertise
grey-box modeling, hybrid machine learning, knowledge-based machine learning, physics-integrated machine learning
2020 – Present
machine learning of dynamical systems, dynamic mode decomposition, Koopman operator
2016 – Present