The Smart Structure Systems (SSS) laboratory seeks to develop next-generation smart technologies for innovating the ways our civil systems are monitored, protected, and rehabilitated. These smart technologies are applicable, but not limited, to infrastructure/environment monitoring, system retrofit/rehabilitation, and full-scale experimental verification of numerical methods.

SSS lab's research area of interests includes, 

• Structural health monitoring (SHM)
• Wireless smart sensor networks
• Artificial Intelligence for infrastructure monitoring
• Model-integrated hybrid networks for city-wide infrastructure monitoring
• Smartphone network for SHM
• Computer vision-based sensing
• Big data for structural reliability and risk assessment and advanced infrastructure sensing
• Structural damage identification
• ​Dynamic motion tracking
• Advanced functional materials
• Earthquake/Wind/Bridge engineering
• Energy harvesting
• Full-scale dynamic testing

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NEWS (click for more)

• ​​A journal paper titled "Automatic control of AC bridge-based capacitive strain sensor interface for wireless structural health monitoring" has been published in Measurement (Oct 2022).
• A journal paper titled "Structural Health Monitoring of Fatigue Cracks for Steel Bridges with Wireless Large-Area Strain Sensors" has been published in Sensors (Jul 2022).
• ​​A journal paper titled "Investigation of textured sensing skin for monitoring fatigue cracks on fillet welds" has been published in Measurement Science and Technology (May 2022).
• ​​A journal paper titled "Real-time generic target tracking for structural displacement monitoring under environmental uncertainties via deep learning​" has been published in Structural Control and Health Monitoring (Dec 2021).
• A journal paper titled "Deep reinforcement learning for automated design of reinforced concrete structures​" has been published in Computer-Aided Civil and Infrastructure Engineering (Oct 2021).
• A journal paper titled "Investigation of surface textured sensing skin for fatigue crack localization and quantification" has been published in Smart Materials and Structures (Sep 2021).
• A journal paper titled "Multi-objective sensor placement optimization for structural response estimation under spatially varying dynamic loading of bridges" has been published in Advances in Structural Engineering (Feb 2021).
• Congratulations! Touhid Ahamed successfully finished his final PhD defense and got offered from M3 engineering (Nov 2020)
• Congratulations!  ​Jong-Hyun Jeong is awarded the Tech Launch Arizona's Student Innovation Challenge fund ($20k) for his AI-based pavement monitoring research using smartphones (May 2020).