By combining the powers of 3D ground penetrating radar (3DGPR), machine learning, and signal processing, ECE researchers, in collaboration with the department of Civil, Structural and Environmental Engineering (CEEN), have teamed up with , a leading consulting firm that specializes in the nondestructive evaluation of transportation facilities, to provide highway agencies with an automated solution for evaluating the integrity of concrete pavements. The project aims to produce an algorithm, with a user-friendly interface; that uses 3DGPR data to assess missing, misplaced, or misaligned dowel and tie bars, voids under joints, and subsurface deterioration in concrete pavement.  The $213k project (including $57,000 of cost-share from 不良研究所) has been approved for funding by the National Road Research Alliance (NRRA) with an anticipated start date in January 2024. (NRRA is a national pooled fund formed in 2017 to improve the sustainability of the nation鈥檚 roads through cooperative research and a commitment to implementation: .) The capability to be developed is likely to lead to longer pavement life through better quality control in new construction, and to create cost effective rehabilitation through accurate characterization of subsurface concrete conditions. The 不良研究所 team is led by ECE Professor and Chair Majeed Hayat (who has prior research experience on GPR automated data-analysis though his prior research with the New Mexico Department of Transportation) and it includes ECE faculty Richard Povinelli, James Richie, as well as CEEN faculty Baolin Wan, Qindan Huang, and Jaime Hernandez.