Naoya Takeishi is a postdoctoral researcher at Structured Learning Team, RIKEN Center for Advanced Intelligence Project (AIP), Japan. He received his Ph.D. in Engineering from the Department of Aeronautics and Astronautics, The University of Tokyo in 2018. His research interest includes data-driven analysis of dynamical systems, machine learning with knowledge, and space robotics.
Data-Driven Analysis of Dynamical Systems
Analysis of dynamical systems and time-series data based on the operator-theoretic view and its data-driven method, dynamic mode decomposition (DMD).
Utilization of Knowledge for Machine Learning
Incorporation of structured or unstructured knowledge, often given distantly, in procedures of statistical machine learning.
Visual SLAM in Space
Simultaneous estimation of the relative position of a spacecraft and the shape and motion parameters of the target asteroid using images of the asteroid.