September 26, 2025
The 15th SOKENDAI Award
SOKENDAI Award is founded in Academic Year 2018 to commend the students who have accomplished their outstanding research and have been conferred their degrees with the excellent doctoral thesis.
The 15th SOKENDAI Award was held in Hayama campus on September 26, 2025.
* The thesis information of the recipient will be linked to the SOKENDAI Repository at a later date.
| Name | Department | Doctoral thesis |
|---|---|---|
| YOSHIDA Tomohiro | School of Physical Sciences, Department of Astronomical Science |
Measuring Gas Surface Densities in Protoplanetary Disks via Line Pressure Broadening |
| SASAI Takeyuki | School of Multidisciplinary Sciences, Depatment of Statistical Science |
Non-Asymptotic Analysis of Robust and Sparse Linear Regression |
Comments from Winners of the 15th SOKENDAI Award
YOSHIDA Tomohiro
- School of Physical Sciences, Department of Astronomical Science
- Doctorial thesis
Measuring Gas Surface Densities in Protoplanetary Disks via Line Pressure Broadening
Comment
I earned my degree in the Department of Astronomical Science (currently the Astronomical Science Program), which is based at the National Astronomical Observatory of Japan. The National Astronomical Observatory of Japan is a major center for astronomical research, not only in Japan but also internationally. Even as a student, being able to conduct research in such a privileged environment was an extremely valuable experience for my career. In addition, the peaceful surroundings of Mitaka, where the campus is located, were ideal for focusing on research. I would also like to emphasize that this fortunate student life was made possible by the exceptionally generous financial support provided by SOKENDAI and the Department, which is unparalleled within Japan. I strongly recommend SOKENDAI to anyone aspiring to become a researcher.
YOSHIDA Tomohiro
SASAI Takeyuki
- School of Multidisciplinary Sciences, Depatment of Statistical Science
- Doctorial thesis
Non-Asymptotic Analysis of Robust and Sparse Linear Regression
Comment
I earned my degree in the Department of Statistical Science. At the Institute of Statistical Mathematics, the host institution, faculty and students with diverse expertise and interests come together, and the library, computing resources, and other facilities are well equipped—providing an exceptionally supportive environment for research. I was in fact able to pursue my work freely and enjoyably, for which I am deeply grateful. Institute events offer students opportunities to present their research, and even working professionals like me who pursue a doctorate alongside our jobs can deepen our interactions with ISM members through these activities. With the rise of generative models, I believe that broad knowledge spanning both applications and theory in how we handle data will continue to be in demand. I will continue my research so that I can contribute, even in a small way, to this ongoing trend.
SASAI Takeyuki