Smart Recovery: Engineering Resilience | Texas A&M Engineering

College of Engineering

Can AI provide instant damage assessment after a tornado? Texas A&M researchers, led by Drs. Maria Koliou and Abdullah Braik, have developed a revolutionary model to accelerate disaster recovery. By combining remote sensing imagery, deep learning AI and restoration modeling, their system can generate comprehensive building damage assessments and recovery forecasts in less than an hour. This speed — a massive improvement over traditional, weeks-long methods — ensures first responders and policy…