Research Areas

Welcome to the DAISY Laboratory

Mission: DAISY Lab's mission is to drive innovation through advanced data-driven research, focusing on the development of intelligent solutions that address critical challenges in various domains 

Research Topics

DAISY Lab develops data-driven decision-making systems and intelligent solutions for real-world industrial and societal problems. Our research integrates advanced machine learning with structured knowledge technologies to deliver models that are accurate, interpretable, and deployable. 

Research Method

• Machine Learning & Deep Learning

• Ontology & Knowledge Graph–Driven AI

• Time-Series Anomaly Detection

• Missing-Data Imputation & Data Quality

• Uncertainty-Aware AI

Application Domains

• Manufacturing and Quality Control: Our research aims to improve manufacturing efficiency and data quality through machine learning. We explore ontology-based approaches to detect inaccuracies in Bills of Materials and apply machine learning to manage environmental data quality.

• Construction and Infrastructure Management: We develop AI-based predictive models for concrete strength, explore non-heated asphalt technology to reduce emissions and enable rapid curing, and create deep learning-based models to predict the rheological properties of building materials.

• Education: We develop learning analytics and AI-assisted assessment systems, including early childhood achievement measurement and automated essay scoring for scalable, reliable evaluation.

• Healthcare and Safety: In this domain, we work on AI-based predictive models for high-risk maternal diseases and IoT-based smart monitoring systems to predict structural collapse in disaster-prone areas, enhancing healthcare and safety.

• Business and Market Analysis: We use machine learning to analyze market trends and enhance brand positioning, providing valuable insights for business optimization and competitiveness.