|Young-chul Ghim (Korea Advanced Institute of Science and Technology, Republic of Korea)|
|Young-chul Ghim has been a faculty member of the Department of Nuclear and Quantum Engineering at KAIST since the 1st of March 2013 as an assistant and associate (from September 2017) professor. He received his B.S. degree in Electrical and Computer Engineering and minor in Mathematics from Grove City College, PA, USA in 2002. For three years from August 2002, he worked at Hantel Co., Ltd. as a software engineer developing a portable two-way messaging device with cryptography capability utilizing private/public key algorithms. In 2006, he started his graduate studies at the University of Wisconsin - Madison as a master’s student in the Department of Engineering Physics under supervision of Prof. Noah Hershkowitz. He received his M.S. degree in 2008 with the thesis title of ‘Experimental studies of velocities of positive ions at the sheath edge in electronegative plasmas.’ Then, he moved to the University of Oxford, UK to pursue a doctoral degree in the subject of magnetically confined fusion plasmas in the Department of Theoretical Physics in January 2009. With the dissertation title of ‘Characteristics of plasma turbulence in the Mega Amp Spherical Tokamak’ supervised by Prof. Alex Schekochihin, he received the degree of Doctor of Philosophy in February 2013.|
|Mi-Young Song (Korea Institute of Fusion Energy, Republic of Korea)|
|Plasma Fundamental Research Activities based on Atomic and Molecular Data in Korea Institute of Fusion Energy|
Song was born in 1977 in Republic of Korea. She received the Doctor of
Physics degree from Hanyang University in 2004.
Since 2020, She is a Leader of Division of Plasma Convergence Research, Institute of Plasma Technology, Korea Institute of Fusion Energy and Since 2017, She is s Leader of Data Center for Plasma properties.
She is interested in fundamental plasma technology research of low-temperature plasma, including collision processes between atoms/molecules/surfaces due to electron collisions and fundamental data generation for plasma spectroscopy diagnosis.
She is a member of the International Data Center Network, A&M Unit, Nuclear Division, IAEA .
|Ryohtaroh T. Ishikawa (National Institute for Fusion Science, Japan)|
|Multi-scale deep learning for estimating horizontal velocity fields on the solar surface|
|Ryohtaroh T. Ishikawa was born in 1994 in Japan. He received the degree of Doctor of Philosophy from SOKENDAI in 2022. Since 2023, he is an Assistant Professor at National Institute for Fusion Science. He is interested in the MHD turbulence and radiative transfer in the Solar atmosphere.|
|Yoh-ichi Mototake (Hitotsubashi University, Japan)|
|Interpretable AI Supporting Scientists' Insight into Large-Scale Dynamics|
|Yoh-ichi Mototake was born in 1984 in Japan. He received the Doctor of Science degree from University of Tokyo in 2016. Since 2023, he is a Associated Professor of Graduate School of Social Data Science at Hitotsubashi University. He is interested in the study of data driven science which analyze and understand complex pattern dynamics using machine learning technique such as interpretable AI.|
|Akira Kusaba (Kyushu University, Japan)|
|Data Assimilation in Semiconductor Crystal Growth: Chemical Reaction Network Modeling|
|Akira Kusaba is an Assistant Professor in Research Institute for Applied Mechanics (RIAM), Kyushu University, Japan. He received his PhD degree in March of 2019 from Dept. of Aeronautics and Astronautics, Kyushu University. His research focuses on computational science and machine learning in semiconductor crystal growth. He is also interested in collaborating with other disciplines, such as the plasma community.|
|Keisuke Yano (The Institute of Statistical Mathematics, Japan)|
|A new approach to mixed-domain and higher-order dependence modeling|