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IC-NTU Collaboration Workshop Successfully Held at NTU

On Dec 16 2022, organized by LIFT and Roomsensor team, the first Imperial-NTU collaboration workshop was successfully held at NTU. The workshop topics cover sensors, IoT, AI, sustainability, transportation, and occupancy modeling. Researchers from USL@ICL introduced their research on building occupancy modeling, sustainable AI for transportation, and demand-side energy management; members of LIFT@NTU presented the study on IoT sensing framework for digital construction; Roomsensor@NTU members demonstrated a prototype for room sensing; research staff from ERI@NTU introduced the research on intelligent building automation. After the fabulous presentations, the workshop ended with visits to the labs at CEE and ERI@N.

Engineering Mechanics Institute Conference 2023 (EMI 2023)-Relative Research is Welcomed

Smart sensing and artificial intelligence for civil infrastructure monitoring Civil infrastructures that make up urban and rural communities, such as bridges, buildings, roads, railways, dams and levees, ports, transmission towers, etc., serve under continuous operational and environmental stresses and, sometimes, extreme hazardous loads, leading to deterioration and damage that may interfere with their desired services and possibly threaten public safety.


Smart sensing, accompanied with artificial intelligence (AI) recently, plays a critical role in monitoring the integrities of these civil infrastructures to support essential decision-making aimed at detection, diagnosis, and prognosis of infrastructure health conditions. In recent years, we have witnessed significant advancements in the development of smart sensing technologies, such as wireless smart sensors, mobile sensing, edge computing, cloudbased management. Their significant potential is further released, with advanced signal processing. data science and AI. Examples include wireless large-area sensors for fatigue crack detection, aigle sensing system for capturing sudden events, edge/cloud computing for sensor data anomlies detection, and those developed to facilitate easy deployment and maintenance by practicing engineers, among many others.


The objective of this minisymposium is to generate discussions on the latest advances in research on smart sensing and artificial intelligence for civil infrastructure health monitoring, algorithm development, and related applications. Research that includesreal-world smart sensing applications is especially welcome. Topics of interest include, but are not limited to:

• Novel-sensor-empowered sensor networks • Intelligent networking and autonomous operations

• Signal processing and algorithms for damage diagnosis and health prognosis

• Embedded/edge computing for sensor networks • Smart SHM system integration

• Sensor fault diagnosis and recovery • Control-oriented smart sensor networks

• Adaptive sensing, sampling and interrogation

• Integration of sensor network data within digital twins

• Dense and very dense sensor networks

• Crowd-sourced smart sensing

• Field demonstration and applications

To find more information, please visit the link :

A New Special Issue is Open Now

Smart sensing, accompanied with artificial intelligence (AI), has recently received growing interest for addressing the aforementioned concern. Smart sensing can obtain timely condition or status information about civil infrastructures during their lifecycle, and hence ensure safe construction and efficient operation by providing early warnings of damage or deterioration prior to costly repair or even catastrophic failures.

The focus of this Special Issue is on presenting the latest advances in smart sensing and AI for civil infrastructure monitoring and management. Potential topics include, but are not limited to:

  • Smart sensor development (hardware or software);

  • Digital signal processing and filter design;

  • Sensor fault diagnosis and recovery;

  • Computer vision and image processing;

  • Big data management and mining;

  • Long-term performance monitoring and assessment;

  • Condition assessment or smart upgrading of infrastructure;

  • Surface or interior damage detection of structures;

  • System identification;

  • Construction monitoring and management;

  • Vibration mitigation;

  • Performance improvement of aged infrastructure;

  • Case studies of smart civil infrastructure systems (e.g., bridges, buildings, and tunnels), etc

   Dr. Yuguang Fu
   Dr. Jianxiao Mao
   Dr. Peng (Patrick) Sun
   Guest Editors

To find more information, please visit the link :

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