Active Research
My research develops the sensing, reasoning, and autonomy layers that enable robots to conduct rigorous nondestructive evaluation of civil infrastructure with minimal human supervision.
Multimodal Robotic Sensing for Autonomous Infrastructure Evaluation
Design and deployment of mobile robotic platforms equipped with heterogeneous sensor suites for end-to-end autonomous nondestructive evaluation of civil infrastructure. The system orchestrates sensor scheduling, pose estimation, and data fusion without human intervention.
Ultrasonic Pulse Velocity (UPV) Testing & ML Interpretation
Development of data-driven pipelines for interpreting UPV waveforms acquired by robotic end-effectors. Integration of Florence-based Vision-Language Models to reason over signal morphology and generate structured NDE reports.
Acoustic Emission Monitoring
Real-time detection and source localisation of acoustic emission events during active loading scenarios. The goal is to map damage evolution in structural elements using piezoelectric sensor arrays coupled with Bayesian source-location algorithms.
Hyperspectral Imaging for Material Characterisation
Application of push-broom hyperspectral cameras mounted on robotic platforms for surface composition analysis. Spectral signatures enable non-contact detection of carbonation, moisture, and chemical deterioration in concrete and masonry.
Gaussian Splatting for 3D NDE Reconstruction
Use of 3D Gaussian Splatting to produce photorealistic, spatially-indexed reconstructions of inspected surfaces. These serve as persistent scene representations for registering multi-modal sensor data across inspection visits.
Laser-Based Surface Monitoring of Additively Manufactured Concrete
Laser displacement sensing for high-resolution monitoring of robotic CO₂ injection in fresh additively manufactured concrete. Accepted for presentation at SPIE Smart Structures + NDE, March 2026.