Sponsored Projects

Project Title

▪ [PI] AI-LearnBridge: A Connected Physical-Digital Early Childhood Learning Platform Development (Busan RISE)

▪ [PI] Ontology-Guided AI Framework for Inventory Insight Extraction in Manufacturing (National Research Foundation of Korea)

▪ [PI] LLM-Based Structuring and Management of Manufacturing Material Data (National IT Industry Promotion Agency)

▪ [PI] Korean Writing Level Assessment for Non-native Learners (Edutech Center) 

▪ [PI] Similar Product Identification via Ontology and Machine Learning to Detect Inaccurate Bills of Materials (National Research Foundation of Korea) 

▪ [PI] Development of an AI Model for Environmental Risk Management in Underground Spaces (Korea Institute of Civil Engineering and Building Technology)

▪ [Technical Advisor] Demonstration of AI-based Structural Health Management and Repair/Reinforcement Methods for Aging Road Structures (Seyeon Inc.) 

▪ [PI] AI-based Early Detection of Inventory Status Abnormalities (LG Electronics)

▪ [PI] Development of AI-based Predictive Models for Concrete Compressive Strength (Korea Institute of Civil Engineering and Building Technology)

▪ [PI] Integrating High-Sensitivity Sensors and Machine Learning for Advanced Slope Failure Prediction (Korea Agency for Infrastructure Technology Advancement)

▪ [PI] Construction Material Development Technology with Short-term Curing and Less Gas Emissions (Ministry of SMEs and Startups)

▪ [PI] A Machine Learning-Based Approach for Quality Control of Environmental Data (Kangwon National University)

▪ [PI] Development of IoT Smart Measurement System for Predicting Collapse of Vulnerable Facilities Based on Machine Learning (Ministry of the Interior and Safety)

▪ [PI] Development of Smart Complex Sensor System for Prediction of Ground Disasters based on Deep Learning (Ministry of SMEs and Startups)

▪ [PI] Prediction of Rheological Properties of Construction Materials based on Deep Learning Considering Uncertainty (Kangwon National University)

▪ [PI] Data Quality Management Techniques for a Robust Smart Farm (Agriculture and Life Sciences Research Institute)