Biography
학력
- The University of Texas at Austin, 컴퓨터학 박사
주요경력
- ▶ KAIST 경영공학부, 부교수 (2024~현재)
- 경영대학 디지털혁신연구센터 센터장 (2026~)
- 경영대학 Impact Research Award (2025)
▶ Arizona State University, 조교수 (2019~2024)
- W. P. Carey School of Business, Department of Information Systems
▶ 美 아마존, Machine Learning Scientist (2016~2019)
산업체자문활동
- ▶ 포스코 (미래기술연구원 AI연구소), 자문위원 (2024)
Publications & Research
주요논문 (특허등)
- ▶ Journal
"Disinformation Spillover: Uncovering the Ripple Effect of Bot-Assisted Fake Social Engagement on Public Attention"
S. Lee, D. Shin, K. H. Kwon, S. P. Han, and S. K. Lee, MIS Quarterly, 2024
"Learning Outside the Classroom During a Pandemic: Evidence from an Artificial Intelligence-Based Education App"
G. Y. Ko, D. Shin, S. Auh, Y. Lee, and S. P. Han, Management Science, 2023
"Predicting Firm Market Performance using the Social Media Promoter Score"
S. Chung, D. Shin, and J. Park, Marketing Letters, 2022
"Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach"
D. Shin, S. He, G. M. Lee, A. B. Whinston, S. Cetintas, and K. Lee, MIS Quarterly, 2020
▶ For more details
- Homepage: https://aiba.kaist.ac.kr
- Google Scholar: https://scholar.google.com/citations?user=BuDfw00AAAAJ
연구분야
- Artificial Intelligence, Economics of AI and IT, AI/ML Applications, Digital Platforms
Teaching
