2024년 12월 2일 16:30에 진행되는 중앙대학교 AI대학원 CAU-AI핵심 기술세미나 진행 안내드립니다.

2024년의 마지막 기술세미나입니다. 한해 간 열심히 참석해주셔서 감사드립니다.

관심있는 분들의 많은 참여 부탁드립니다.

Presenter:  손휘재 교수 (건국대학교)

2016: 한양대 수학과 학사 졸업

2021: 포항공대 수학과 박사 졸업

2021~2022: 카이스트 Stochastic Analysis & Application Research Center 연구원

2022 ~ 2024: 한밭대 인공지능소프트웨어학과 조교수

2024 ~ 현재: 건국대 수학과 조교수

Date & Time: December 12, 2024. 16:30~

Place: Offline (310-815) and Online Zoom ( https://cau.zoom.us/j/82608427445 )

Title: Physics-informed machine learning for inverse problems

In this talk, we first discuss thermoacoustic instability in a combustor, which can be naturally translated into a system identification problem for the Fokker-Planck equation. We propose an algorithm based on Physics-Informed Neural Networks (PINNs) to solve this inverse problem. Subsequently, we discuss recent progress in the stability of data-driven solutions for parabolic inverse problems. Additionally, we explore some recently proposed neural operators for solving these inverse problems.

*This seminar was supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) (2021-0-01341, Artificial Intelligence Graduate School Program(Chung-Ang University))