Industrial Internet of Things (IoT) Platform for Condition Monitoring of Manufacturing Factory, funded by a leading global tire company (2018 - present)
• Provided solutions on transforming traditional factories into smart factories
• Enabled data-driven decision making for the enhanced factory operations by combining IoT and machine learning
• Developed an IoT platform that connects smart sensors, edge computers, distributed DB and machine learning modules
Enhanced Structural Health Monitoring of Infrastructure Systems using Cyber-Physical Systems, funded by the NSF (2015 - 2018)
• Developed a cyber-physical system that integrates wireless sensor networks deployed on highway bridges and intelligent transportation systems through cloud computing platform for the enhanced infrastructure safety management
• Developed an event-driven, automated sensing system using computer vision and machine-to-machine communication
Cloud Computing Service for Lifecycle Bridge Monitoring, funded by the Korean Department of Transportation (2014 - 2018)
• Developed a cloud-based smart infrastructure monitoring service that leverages big data management and analytics
• Developed a server-side system that offers scalable data management services via RESTful APIs and MQTT protocol
• Implemented a distributed database to manage massive sensor data and semi-structured/unstructured domain information
• Enabled the diagnosis of structural problems and the prognosis for the need of structural strengthening and repairs
