Our research lab, MOMA@CWNU (data-adaptive Machine Optimization & Multidisciplinary Applications) at Changwon National University, focuses on developing machine learning algorithms tailored to various datasets, emphasizing alignment with domain knowledge and interpretability. Our research topics include:
Statistical Learning
Deep Learning Algorithms
Machine Learning Applications (Finance, Hydrology, Cheminformatics)
News🎉
(NEW) 2025-08, Jung, Inhyo (undergraduate intern) joined our lab:) Welcome!
(NEW) 2025-08, Our paper has been accepted to Neural Networks (SCIE) [IF=6.3 (Top 10%)].
2025-07, Our paper has been accepted to Stochastic Models (SCIE) [IF=0.7].
2025-06, Our paper has been accepted to Applied Intelligence (SCIE) [IF=3.5 (Q2)].
2025-04, Our paper has been accepted to IJCAI 2025 (BK21 IF=4, KIISE Rank=S, 19% acceptance rate).
2025-01, Our paper has been accepted to Expert Systems with Applications (SCIE) [IF=7.5 (Top 6%)].
2024-12, Our paper has been accepted to AAAI 2025 (BK21 IF=4, KIISE Rank=S, 23% acceptance rate).
2024-10, Our paper has been accepted to International Journal of Forecasting (SSCI) [IF=7.1 (Top 3%)].
2024-10-21 ~ 25, Prof. Hong gave a presentation at CIKM 2024 (BK21 IF=3, KIISE Rank=S, 33% acceptance rate).
2024-10-01, Sungchul Hong joined the Dept. of Statistics at CWNU:)