AI-driven visual analytics, automated quality inspection, and defect & surface segmentation for research and industry.
Few-shot deployment reaches a new line on as few as 10 annotated images, where a conventional pipeline needs thousands. Method and evaluation in our publications.
Grounded in
01 Capabilities
Six research lines, all pointed at the same problem: turning raw industrial imagery into a decision an engineer can act on.
Flagship
Defect detection, anomaly spotting, and real-time quality assurance pipelines for high-throughput manufacturing — built to hold accuracy at line speed, to say clearly when they are uncertain, and to reach a new line on minimal annotated data.
Survey and sensor data turned into maintained digital models of real structures — and of how their condition changes over time.
High-precision 3D reconstruction, point-cloud analysis, and metrology for complex structural environments.
Single-pixel imaging, compressive sensing, and learned image reconstruction — recovering a usable image before anything has to interpret it.
Attention-refined feature pyramids, adversarial and probabilistic models — for defects that are thin, faint, or genuinely ambiguous.
Damage detection and condition assessment across composites, concrete, and ageing infrastructure.
02 Application areas
The same perception stack, tuned to the failure modes and tolerances each sector actually cares about.
03 Newsroom
We welcome Susan Fu, Mohammed Hussain, Jason Miles and Tan Ho Khang, who join the lab through the School of Engineering’s Undergraduate Research Opportunities Program to work alongside our researchers on live projects.
Congratulations to Fadillah Yamin on passing his mid-candidature review, presenting his research on zero-shot corrosion segmentation to the panel.
We welcome Wissem Chachoua and Anaïs Bellagha to the lab for an eight-week research internship.
How gas density, leakage pressure and solid content govern gas plume dynamics in soil slurries — a holistic perspective on underwater pipeline leaks.
Congratulations to Parexus — co-founded by lab principal Mohd-Zulhilmi Ismadi with CVVD graduate Jeremy Ong — on RM100,000 in funding and over USD 250,000 in cloud credits for its AI-powered inspection system.
Congratulations to Osama Ahmed on completing a doctorate on composite damage detection for structural health monitoring.
Inspection is where most people find us, but the work is broader: reconstructing a surface, recovering an image the sensor barely caught, tracking how an asset changes. If it can be imaged, it can be measured — and we take on the ones without an off-the-shelf answer.