This thrust focuses on sensing, signal processing, and computer vision methods for structural health monitoring of civil infrastructure. The goal is to extract reliable structural information from measurements that may be noisy, incomplete, indirect, or collected under field constraints.
A central idea is to combine measured data with structural dynamics, mechanics, and engineering knowledge so that sensing outputs remain physically meaningful and useful for infrastructure monitoring.
What We Study#
Structural Response Measurement
Methods for estimating displacement, vibration, strain, modal response, and other structural quantities from sensor and vision-based measurements.
Vision-Based Monitoring
Computer vision approaches for extracting structural motion, deformation, and visual indicators of condition from images and videos.
Physics-Guided Signal Processing
Signal-processing methods that use physical constraints and engineering knowledge to improve the reliability of measured structural response.
Multi-Sensor Infrastructure Monitoring
Approaches for using data from cameras, accelerometers, strain sensors, drones, and other sensing platforms for infrastructure monitoring.
Methods and Tools#
Research in this thrust may involve structural dynamics, signal processing, image and video analysis, machine learning, experimental measurements, and computational modelling. Depending on the problem, the work may use Python, MATLAB, finite element simulations, laboratory experiments, or field-oriented sensing data.
Student Background#
Students interested in this thrust may benefit from background in structural dynamics, signal processing, computer vision, machine learning, Python/MATLAB programming, or experimental measurements.
It is not necessary to have expertise in all areas. Specific topics are shaped based on the student’s background, interests, and expected time commitment.
Interested Students#
Students interested in physics-guided sensing, computer vision, signal processing, or infrastructure monitoring are encouraged to read the broader Research page and contact me through the Join the Group page.
Specific project topics are discussed individually after understanding the student’s background, interests, and available research opportunities.