Spotlight Achievement: Featured on ASCE's Engineering Mechanics Institute
We are thrilled to announce that our Laboratory for Intelligent Infrastructure Technology has been featured on the prestigious American Society of Civil Engineers (ASCE) website! This recognition by the Engineering Mechanics Institute highlights our lab's innovative contributions to the field of civil engineering and our commitment to advancing intelligent infrastructure technologies. We extend our heartfelt congratulations to all members of our lab for their hard work and dedication. This achievement underscores our position at the forefront of research and development in engineering solutions for a better tomorrow. Let's continue to push the boundaries of what's possible together!
EMI 2024 Mini-Symposium is open for abstract submission
Dear Friends and Colleagues, we would like to invite you to submit an abstract to our mini-symposium of the Engineering Mechanics Institute Conference and Probabilistic Mechanics & Reliability Conference (EMI/PMC 2024, in Chicago): MS 0301 - "Smart IoT sensors and artificial intelligence for civil infrastructure monitoring.”
Organizers: Yuguang Fu, Jian Li
Deadline: 31 Dec, 2023
Submission link: https://www.emi-conference.org/call-abstracts
ASCE EMI- Structural Health Monitoring & Control Committee
Congratulations to Professor Fu on becoming a committee member of the American Society of Civil Engineers, Engineering Mechanics Institute - Structural Health Monitoring & Control (SHMC) Committee and Dynamics Committee!
Because of the need to continuously meet operational safety and functionality goals during their long service life, structural health monitoring (SHM) of full-scale civil infrastructures is an inevitable research trend. SHM is an interdisciplinary multi-purpose subject combining signal processing, system identification, damage detection, health evaluation, and several other theories. In the past two decades, with advanced technologies such as sensing networks, data acquisition, communication, signal processing, information management, and intelligent algorithms, SHM technologies and corresponding developments applied to civil infrastructures, especially buildings, have attracted the interest of scientists and engineers. Nowadays, SHM for buildings has been successfully implemented many times. Future research is directed toward the integration of advanced sensing networks, large-scale data management, data mining, information fusion, and intelligent diagnosis. Welcome to submit paper and Click here for more information!
Invited Seminar Presentation at Georgia Tech
On June 6, 2023, Prof Fu received a warm invitation to deliver a presentation titled "Rapid condition assessment of civil infrastructures using smart loT system and edge intelligence" invited by Prof. Baabak Ashuri. The invitation came from the School of Civil and Environmental Engineering at Georgia Institute of Technology, recognizing Prof. Fu's recent advancements and profound insights in the fields of Edge Computing, Smart Sensing, and Advances in Structural Health Monitoring (SHM).
Professor Fu had the honor of chairing the session MS213: Smart Sensing and Artificial Intelligence for Civil Infrastructure Monitoring at the EMI 2023 Conference, held from June 6 to 9, 2023, in Atlanta, GA, USA. During the conference, Prof Fu delivered an academic presentation titled "Impact Detection and Localization Using Deep Learning and Information Fusion" as part of the seminar. In addition, Cui Shuaiwen, a Ph.D. candidate from our team, graciously presented the prototype of an Edge-Intelligence-Enabled Smart Adaptive Triggering Mechanism for Wireless Vibration-based Structural Health Monitoring during the same session under the guidance of Prof Fu.
Invited Training Session at Civil Service College
On June 6-7, 2023, Prof Fu had the privilege of being invited by TEMASEK FOUNDATION to deliver a training presentation titled "Building Safe and Disaster-Resillient Intelligent Infrastructure". This seminar was conducted as part of the Developing a Resilient and Safe City For Tianjin Eco-City (TEC) Programme, aimed at creating a sustainable and resilient urban environment. Prof Fu shared his expertise and insights on designing and constructing intelligent infrastructure that is resilient to disasters and ensures the safety of the city's residents.
Invited Seminar Presentation at SCUT
On May 11, 2023, Prof Fu received a warm invitation to deliver an online academic presentation titled "Rapid Condition Assessment of Structures Using Edge Intelligence." The invitation came from the School of Civil Engineering & Transportation at South China University of Technology (SCUT), recognizing Professor Fu's recent advancements and profound insights in the fields of Edge Computing, Smart Sensing, and Advances in Structural Health Monitoring (SHM)..
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.
EMI 2023 Mini-Symposium is open for abstract submission
MS213 - "Smart sensing and artificial intelligence for civil infrastructure monitoring.”
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.
Organizers: Yuguang Fu, Jian Li
To find more information, please visit the link :
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;
Construction monitoring and management;
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
To find more information, please visit the link :