Ayeong Seong
About
I am M.S. student in Department of Applied Artificial Intelligence at Sungkyunkwan University and a member of Data eXperience Lab, advised by Eunil Park.
Research Interest
Multimodal deep-learning
AI application in real-world problem
Data Science
Contact
💌 achieve0v0@gmail.com
Education
M.S. in Applied Artificial Intelligence
Sungkyunkwan University
2024 - Present
B.S. in Big Data Science, Department of Computer Science
GNU(Gyeongsang National University)
2019 - 2024
Publications
Seong, A.-Y., Kang, S.-Y, Song, Y.-G., & Kim, G.-W. (2024). Health-AutoML: An Automatic Adaptive Multi-Layer Stacking Ensemble Learning Framework for Analyzing Healthcare Data. The Journal of Korean Institute of Information Technology, 22(1), 23-37.
Seong, A.-Y., Yun, S.-H, Kang, S.-Y, & Kim, G.-W. (2023). Automatic Multi-layer Stacking Ensemble Generation Technique for Predicting Diabetes Mellitus Incidence. Proceedings of the Korea Information Processing Society Conference, 426-427
Song, Y.-G., Ha, Y.-J., Seong, A.-Y., & Kim, G.-W. (2023). DCGAN-based Emoji Generation exploiting Adjustment of Latent vector Representation. Proceedings of the Korea Information Processing Society Conference, 603–605.
Yun, S.-H, Seong, A.-Y., & Kim, G.-W. (2022). Detection of Injection Molding Defects Using Stacking Ensemble Model. 한국정보과학회 학술발표논문집, 1,483-1,485.
Projects
코호트 데이터를 활용한 인공지능 기반 당뇨병 발생 예측 모델, WiSET (2023년 산학연계 여대생 팀프로젝트 지원 사업), 연구책임자, 2023.06-2023.10.
SmartFactory 구축을 위한 인공지능 기반 사출성형 모니터링 및 최적화 연구, WiSET (2022년 산학연계 여대생 팀프로젝트 지원 사업), 학생연구원, 2022.06-2022.10.