Jonghyuk Kim, GIST Master's Student, Selected as Presidential Science Scholar

Research on Domain Knowledge-Based Artificial Intelligence Modeling Technology

Jonghyuk Kim, Master's student in Mechanical Robotics Engineering at Gwangju Institute of Science and Technology.

The Gwangju Institute of Science and Technology (GIST) announced on June 11 that Jonghyuk Kim, a master's student in the Department of Mechanical Robotics Engineering, has been selected as a final recipient of the 2nd Presidential Science Scholarship for Graduate Students in 2025.

The Presidential Science Scholarship for Graduate Students is a national scholarship program jointly administered by the Ministry of Science and ICT and the Korea Student Aid Foundation. It was newly established to foster outstanding science and engineering talent by identifying creative and highly potential graduate students and providing them with comprehensive support for their studies and research, with the goal of nurturing them into world-class core science and technology experts.

In this year's second round of selection, a total of 2,355 graduate students in science and engineering from across the country applied. Among them, 121 students from 37 graduate schools nationwide?50 master's students and 71 doctoral students?were ultimately chosen as scholarship recipients. Jonghyuk Kim was named to the list after overcoming a highly competitive selection process with a ratio of approximately 20:1.

The scholarship recipients will receive a certificate in the name of the President, along with a scholarship of up to KRW 18 million per year (KRW 1.5 million per month) for up to two years for master's students.

Jonghyuk Kim is a member of the Smart Diagnosis and Design Optimization Laboratory, led by Professor Hyunseok Oh, where he is conducting research on domain knowledge-based artificial intelligence modeling technology that combines domain expertise with artificial intelligence.

In particular, he is actively engaged in research on a variety of topics, including anomaly diagnosis and remaining life prediction using sensor-based experimental data, the development of domain-adaptive models, and the development of anomaly detection techniques based on Open Set Recognition. His goal is to establish intelligent inspection and diagnosis systems that can be practically applied in industrial settings.

Jonghyuk Kim said, "I am deeply grateful to Professor Hyunseok Oh for his always meticulous guidance in my research," and added, "I hope to achieve meaningful results in the field of domain knowledge-based artificial intelligence research and to contribute to enhancing Korea's global competitiveness in intelligent inspection and diagnosis technology."