Sihyun An
Sihyun An
Research Interests: AI in Finance, Business Analytics,
Green Sustainability, Housing Price Appraisal, Large Language Model
Email: s.an@hufs.ac.kr
CV
Linkedin
Google Scholar
ORCID
Scopus
Employment
Hankuk University of Foreign Studies
Assistant Professor, Division of Finance & AI, 2025–Present
Yonsei University
Postdoctoral Research Fellow, Department of Statistics and Data Science, 2025
Research Director, Center for Finance and Technology, 2025
Associate Fellow, Quantitative Finance Lab., 2025
Education
Yonsei University
PhD in Industrial Engineering, 2025
BS in Industrial Engineering, 2022
BS in Information and Statistics, 2022
Honors and Awards
Yonsei University
Excellent Academic Paper Award, 2025
Dissertation Fellowship, 2024
International Joint Research Grant, 2024
Yonsei Graduate Fellowship, 2024–2025
Academy Research Fellowship, 2022
PhD/BS Fellowship, 2022–2025
K-DS Conference
Future Research Award, 2024
Daewwong Foundation
AI & Big Data Global Scholarship, 2022–2024
Funding
Scotland-Korea Collaboration on Quantum Simulation in Asset Pricing based on the Quantum Harmonic Oscillator, Quantum Technologies Alliance for Research Challenge, 2025
Patent
Intelligent Management System and Method for Nuclear Decommissioning Site Characterization, South Korea, 2023
Short-Term Training
Microteaching Pedagogy: Fundamentals of Lesson Planning, Innovation Center for Teaching and Learning, Yonsei University (2024)
Quantum Machine Learning using Python, Institute of Data Science, Yonsei University (2024)
Propensity Score Analysis, Center for Digital Social Science, Yonsei University (2024)
Application of Large Language Model, Institute of Data Science, Yonsei University (2024)
Survival Analysis using R, Institute of Data Science, Yonsei University (2023)
Publications
"Toward transparent and accurate housing price appraisal: Hedonic price models versus machine learning algorithms," with Song, Y., Jang, H., & Ahn, K. Financial Innovation (accepted, JCR 2024, Top 0.7%).
"Reputation matters: Residents' sentiment and housing price," with Choi, G., Song, Y., & Ahn, K. Humanities and Social Sciences Communications (accepted, JCR 2024, Top 6.8%).
"Housing price estimation and reasoning based on a large language model," with Bae, S., Jung, L., Nam, S., & Ahn, K. Finance and Large Language Models (Book Chapter), Springer Nature, 27–45, 2025.
"The effect of rare events on information-leading role: Evidence from real estate investment trusts and overall stock markets," with Kim, J., Choi, G., Jang, H., & Ahn, K. Humanities and Social Sciences Communications 11, 1628, 2024 (JCR 2024, Top 6.8%).
"Aggregated hedonic dataset with a green index: Busan, South Korea," with Bae, S., Song, Y., & Ahn, K. Data in Brief 57, 111009, 2024 (JCR 2024, Q3).
"Economic impacts of a subway system: Exploring local contexts in a metropolitan area," with Ahn, K., Bae, J., & Song, Y. Research in Transportation Business and Management 56, 101188, 2024 (JCR 2024, Q2).
"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 (JCR 2024, Q1).
"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 (JCR 2023, Q1).
"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 (Conference Proceedings).
"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 (Scopus).
"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
Unequal effects of artificial intelligence in housing price appraisal (R&R in HSSCOMMs)
Shanghai crude oil futures: Asian benchmark? (Under Review in Computational Economics)
Quantitative structure and sentiment of news articles on housing policies (Under Review in HSSCOMMs)
Spatial appreciation of floor plan complexity in housing price appraisal (R&R in Chaos, Solitons and Fractals)
Facial sentiment and verbal content in harmony: Theory and evidence (R&R in HSSCOMMs)
Work in Progress
MATLAB toolbox for forecasting financial crashes using log-periodic power law model
Nuclear power plant decomposition using algorithm-based AI detection
AI-based information extraction system: Nuclear decommissioning site characterization
Teaching Experience
2025-2
Deep Learning Machine Learning
Financial Time Series Analysis
Reviewer
Applied Spatial Analysis and Policy
BMC Public Health
Expert Systems with Applications
Financial Innovation
Humanities and Social Sciences Communications
Quality & Quantity
References
Yonsei University
Prof. Kwangwon Ahn (Finance)
Prof. Hyunsoo Yoon (AI)
Glasgow Caledonian University
Prof. Hanwool Jang (Real Estate)
Chonnam National University
Prof. Yena Song (Geography)
Seoul National University
Prof. Mooyoung Choi (Physics)
Korea Advanced Institute of Science and Technology
Prof. Jooyoung Jeon (Forecasting)
FNC Technology
Dr. Dooyong Lee (Nuclear Engineering)