Sihyun An

PhD Candidate

Yonsei University

Research Interests: Real Estate, Green Sustainability, Inequality, AI in Finance

Email: ash_stat@yonsei.ac.kr 

CV 

Google Scholar 

ORCID

Linkedin

Education

Yonsei University

PhD in Industrial Engineering, 2022–2025 (expected)

Dissertation: Three Essays on Real Estate in the Theory of Finance

BS in Industrial Engineering, 2022

BS in Information and Statistics, 2022



Honors and Awards

Yonsei Graduate Fellowship, Yonsei University, 2024–2025

Global Scholarship, Daewoong Foundation, 2022–2024

PhD/BS Fellowship, Yonsei University, 2022–2025



Publications

"Intelligent nuclear decommissioning solution: Code for site characterization and management of overall surveys," with Byun, H., Park, J., Kim, J., Kim, J., Lee, D., & Lee, B. Annals of Nuclear Energy 196, 110212 (2024).

"Assessment of street-level greenness and its association with housing prices in a metropolitan area," with Jang, H., Kim, H., Song, Y., & Ahn, K. Scientific Reports 13, 22577 (2023).

"Information management for nuclear decommissioning: Synthesizing texts with drawings," with Kim, H., Jeong, M., Kim, J., Byun, H., Lee, D.Y., Kim, J., & Ahn, K. Transactions of the Korean Nuclear Society (2022).

"Deep neural network as a tool for appraising housing prices: A case study of Busan, South Korea," with Song, Y., Jang, H., & Ahn, K. Journal of Physics: Conference Series 2287, 012019 (2022).

"Hedonic dataset of the metropolitan housing market: Cases in South Korea," with Song, Y., Ahn, K., & Jang, H. Data in Brief 35, 106877 (2021).



Working Papers

Toward transparent and accurate housing price appraisal: Hedonic price models (R&R in Financial Innovation)

Shanghai crude oil futures: Price fariness and global integration (R&R in Energy Strategy Reviews)

The effect of marginal events on information leadership: Evidence from REITs and overall stock markets (In Revision)

Economic impacts of subway: Exploration of local contexts in a metropolitan area (R&R in Research in Transportation Business and Management)

Aggregated hedonic dataset with a green index: Busan, South Korea (Under Review)

Reputation matters: Resident sentiment and housing price (In Revision)



Work in Progress

Higher degree, higher inequality: Machine learning appraisal

Value creation of word frequency distributions: Scaling exponent and text cohesion

Information network of metropolises in South Korea

Nuclear power plant decomposition using algorithm-based AI detection

AI-based information extraction system: Nuclear decommissioning site characterization



Ad-hoc Reviewer

ICAPM 2022, Computational Economics, Expert Systems with Applications, Technological Forecasting and Social Change