The Graduate University for Advanced Studies, SOKENDAI Space and Astronautical Science, Department of Advanced Studies
Research funding number
90836222
ORCID ID
0000-0002-8445-1575
J-Global ID
201801006720467786
Research Interests
Spacecraft Control
,Deep Space Navigation
,System
,Machine Learning
,Trajectory
,Stochastic Control
,Optimization Theory
,CubeSat
,Spacecraft Systems Engineering
,Astrodynamics
Research Areas
Aerospace, marine, and maritime Engineering / Aerospace engineering / 軌道力学
Research History
Apr 2023
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Today
ISAS, JAXA Department of Spacecraft Engineering Associate Professor
Mar 2019
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Mar 2023
ISAS, JAXA Department of Spacecraft Engineering Assistant Professor (Tenure-track)
Apr 2018
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Feb 2019
JAXA ISAS JSPS Postdoctoral Researcher
Jun 2017
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Dec 2017
Jet Propulsion Laboratory Outer Planet Mission Analysis Group in Mission Design and Navigation Section (392M) Visiting Student Researcher
Oct 2016
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Dec 2016
ESA European Space Operation Centre Mission Analysis Section Trainee
Education
Apr 2015
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Mar 2018
東京大学大学院 工学系研究科 航空宇宙工学専攻(博士課程)
Apr 2013
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Mar 2015
東京大学大学院 工学系研究科 航空宇宙工学専攻(修士課程)
Apr 2010
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Mar 2013
The University of Tokyo The Faculty of Engineering Department of Aeronautics and Astroronautics
Awards
Nov 2023
Cabinet Office, Government of Japan, S-Booster 2023 Grand Prize and NEDO PrizeAstromine (Naoya Ozaki, Ryuki Hyodo)
Sep 2016
Japan Society for Aeronautical and Space Science, First Prize of Young Researcher AwardNaoya Ozaki Stefano Campagnola Ryu Funase
Mar 2015
The University of Tokyo, FY2014 President AwardPROCYON project team
Journal of Guidance, Control, and Dynamics 2022 [Refereed]
Asteroid exploration has been attracting more attention in recent years. Nevertheless, we have just visited tens of asteroids, whereas we have discovered more than 1 million bodies. As our current observation and knowledge should be biased, it is ...
Journal of Guidance, Control, and Dynamics 43(4) 645-655 Mar 2020 [Refereed]
Recent low-thrust space missions have highlighted the importance of designing trajectories that are robust against uncertainties. In its complete form, this process is formulated as a nonlinear constrained stochastic optimal control problem. This ...