The MOAI Lab focuses on foundation models that orchestrate multiple modalities, including vision, language, and physical sensors.
Our research spans two main areas:
1. AI Foundation – developing core algorithms to advance foundation models
2. AI Application – leveraging foundation models to solve real-world problems
Some might say MOAI stands for “Mo’s AI Lab.”
Co-advising
▪︎ Myeongsoo Kim (co-advised by Prof. Minwoo Chae)
▪︎ Suchan Lee (co-advised by Prof. Hwanjo Yu)
Interns
▪︎ I’m organizing an undergrad AI study group. Please reach out if you’d like to join.
During my PhD and postdoc, I supported several talented students in successfully completing their first-author projects.
▪︎ Byeongju Woo (RS @ ADD). Mentored during postdoc, working in progress.
▪︎ Seung-Hyun Lee (PhD @ UMich). Mentored during postdoc, working in progress.
▪︎ Zilin Wang (PhD @ UMich). Mentored during postdoc, paper accepted at CVPR'25.
▪︎ Woomin Song (PhD @ KAIST). Mentored during PhD, papers accepted at ICLR'24 and TMLR'25.
▪︎ Younghyun Kim (MS @ KAIST). Mentored during PhD, paper accepted at CVPR'24 (highlight).
▪︎ Hyunwoo Kang (MS @ KAIST). Mentored during PhD, papers accepted at NeurIPS'21 and CVPRW'22.
▪︎ Seung-Jun Moon (MS @ KAIST). Mentored during PhD, paper accepted at AAAI'21.
