Yun-Chul Kang
Ewha Womans University · 工学
研究室紹介
Professor Yun-Chul Kang's research lab specializes in data-driven decision-making systems with a focus on operations research, healthcare analytics, and sustainable logistics. The lab develops advanced modeling and machine learning techniques—such as Markov decision processes, sequential pattern mining, and explainable AI—to optimize complex systems in real-time, including on-demand delivery, patient safety in procedural sedation, and CPAP adherence prediction. Research spans both industrial applications and clinical health outcomes, emphasizing efficiency, sustainability, and patient-centered solutions.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15This paper presents the development of an integrated decision-making framework for on-demand parcel delivery services that considers Just-In-Time delivery, fuel consumption and carbon emissions. Optimal policies based on the Markov decision process are established to allow for inclusion of parcel delivery requests. The framework’s integrated dynamic algorithm, based on a continuous variable feedback control, allows for unified processing of delivery requests and route scheduling. Computational e
Analysis of mutual information can be useful in explaining agreement/disagreement between multiple instruments. The suggested approach provides new insights into and potential improvements for the application of healthcare survey instruments.