Projects

Projects

This practice undertakes applied research and engineering projects focused on infrastructure assessment, non-destructive evaluation, and AI-based monitoring of concrete and built assets. The work integrates image-based data collection, automated defect detection, severity assessment, and decision-support workflows to support inspection, maintenance planning, and long-term monitoring of infrastructure systems. Projects cover the full delivery cycle, from problem definition and methodological design to model implementation, validation using real-world evidence, and the translation of analytical outputs into engineering-relevant recommendations. In addition to leading independent initiatives, the practice collaborates with academic and professional partners on internationally funded projects, contributing expertise in computational modeling, wave-based assessment methods, and reproducible analysis frameworks. Across all engagements, the emphasis remains on engineering rigor, transparency, and practical applicability, ensuring that analytical and AI-based tools support clear, accountable decisions aligned with real inspection constraints and stakeholder needs.