UCF’s ‘bridge doctor’ combines imaging, neural network to efficiently evaluate concrete bridges’ safety
Peer-Reviewed Publication
Updates every hour. Last Updated: 7-Sep-2025 17:11 ET (7-Sep-2025 21:11 GMT/UTC)
UCF Engineering Professor Necati Catbas collaborated with his former civil engineering student Marwan Debees ’23PhD, who now works as a NASA Bridge Program manager, on newly published research that details how infrared thermography, high-definition imaging and neural network analysis can combine to make concrete bridge inspections more efficient.
Catbas and Debees are hopeful that their findings, recently published in the Transportation Research Record, can be leveraged by engineers through a combination of these methods to strategically pinpoint bridge conditions and better allocate repair costs.