Ms. Seongeun Bae | Econometrics | Excellence in Research Award

Yonsei University | South Korea

Ms. Seongeun Bae is an emerging researcher in industrial engineering and computational finance with strong expertise in asset pricing, AI in finance, business analytics, large language models, and real estate. Her work bridges quantitative modeling and interpretable AI, advancing methods for housing price appraisal, policy analysis, and financial risk reasoning. She has contributed to high-impact publications on floor plan complexity, LLM-driven housing price estimation, and green-index-based hedonic datasets. Her ongoing projects explore financial crash signal reliability, survival analysis of healthcare institutions, and network-based box office analytics. She has received multiple awards recognizing her excellence in data science and research innovation.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Bae, S., An, S., Choi, G., & Ahn, K. (2026). Spatial appreciation of the floor plan complexity in housing price appraisal. Chaos, Solitons & Fractals, 203, 117580.

Bae, S., Jung, L., Nam, S., An, S., & Ahn, K. (2025). Housing price estimation and reasoning based on a large language model. In Finance and Large Language Models (Chapter 2). Springer Nature.

An, S., Bae, S., Song, Y., & Ahn, K. (2024). Aggregated hedonic dataset with a green index: Busan, South Korea. Data in Brief, 57, 111009.