학력

The University of Texas at Austin, 컴퓨터학 박사

주요경력

▶ KAIST 경영공학부, 부교수 (2024~현재)
- AI대학 AX학과 겸임교수 (2026~)
- 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)

주요논문 (특허등)

▶ Journal

"The 2026 Service Research Priorities: AI-driven Discovery, Interdisciplinary Influence Dynamics, and the ‘Interactive Service Scholarship Incubator’ for Personalized Priorities"
M. Mende, A. Ostrom, J. Baek, D. Shin, S. Lee, and M. L. Scott, Journal of Service Research, 2026

"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

- Website: 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

경영데이터 분석을 위한 머신러닝 II(BME.89909)

비즈니스 응용을 위한 인공지능(BIZ.60081)