Prof.
Youngjung Suh(서영정)
PH.D
More Information
Department of Computer Science and Engineering at Kongju
National University
1224-24 Cheonan-daero Seobuk-gu, Cheonan-si
Chungcheongnam-do, South Korea
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Our research spans real-world domains including digital health, business intelligence, context-aware intelligent services, and AI-based design systems.
We aim to bridge data, models, and systems to create AI technologies that are both practically effective and scientifically grounded, with a focus on reliable and human-centered decision support.
Identify socially, economically, and culturally significant issues where data analytics and AI can create meaningful impact.
Analyze real-world data and context to derive actionable insights and develop reliable AI models.
Develop predictive and intelligent systems to support informed decisions and context-aware services.
Our research advances data-centric AI, reliable evaluation, and intelligent systems—spanning both current projects and future research directions.
Assess data quality and develop efficient preprocessing and labeling strategies.
Design informative features and learn representations from diverse data.
Build predictive and anomaly-detection models, including for imbalanced data.
Diagnose model and pipeline failures and develop metrics aligned with user outcomes.
Interpret AI predictions and decisions using model explanation techniques.
Estimate uncertainty, calibrate confidence, and support selective prediction.
Develop grounded LLM applications, RAG pipelines, and domain-specific question answering.
Learn from and integrate text, images, sensors, and heterogeneous data.
Infer user and environmental context to develop adaptive intelligent services.
Applying core AI methods to diverse real-world challenges.