김수현 교수(데이터사이언스대학원 데이터사이언스학과)

o (2018) B.S., Pusan National University, Korea
o (2020) M.S., Ulsan National Institute of Science and Technology, Korea
o (2023) Ph.D., Ulsan National Institute of Science and Technology, Korea

o (2023~Present) Assistant Professor, Kyungpook National University, Daegu, Korea
o (2023~2023) Postdoctoral Researcher, Seoul National University, Seoul, Korea

Applied AI, Industrial AI, Graph Machine Learning and Deep Learning, Natural Language Processing, AI for Recommendation System, AI in Healthcare, Multi-modal Deep Learning, Privacy-preserving Machine Learning

o HarmoSATE: Harmonized Embedding-based Self-attentive Encoder to Improve Accuracy of Privacy-preserving Federated Predictive Analysis
o Word2Vec-based Efficient Privacy-preserving Shared Representation Learning for Federated Recommendation System in a Cross-device Setting
o Diagnosis and Prescription for Household Financial Health via Risk Information-embedded Hierarchical AutoEncoder and Its Post-hoc Analysis
o Prediction of Type 2 Diabetes Using Genome-wide Polygenic Risk Score and Metabolic Information: A Machine Learning Analysis of Population-based 10-year Prospective Cohort Study
o Technology Opportunity Discovery using Deep Learning-based Text Mining and a Knowledge Graph
o Risk Score-embedded Deep Learning for Biological Age Estimation: Development and Validation
o A multi-stage data mining approach for liquid bulk cargo volume analysis based on bill of lading data
o Word2vec-based latent semantic analysis (W2V-LSA) for topic modeling: A study on blockchain technology trend analysis

https://sites.google.com/view/suhyeon-kim/home