Project on detecting flaws in concrete wins CMU-Q award

Carnegie Mellon University in Qatar (CMU-Q) awarded Fatma Tlili the Best Project award for her research into developing an automated process for detecting cracks and defects in concrete. Tlili was one of more than 50 researchers at the 2018 Meeting of the Minds symposium at CMU-Q.
Tlili, who is a graduating senior from CMU-Q’s Computer Science Programme, used a combination of image processing and deep learning techniques to identify and map potential cracks using images taken by drones. Gianni Di Caro, associate teaching professor of computer science at CMU-Q, advised Tlili on her project.
Michael Trick, the dean of CMU-Q, said, “At Carnegie Mellon, we often describe our research as ‘work that matters’ and we investigate questions that will have a real impact on the world. Fatma’s work embodies this approach, using deep learning to find a better way to preserve the integrity of buildings, tunnels and bridges.”