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WATERLOO — Potholes and deteriorating roadways are the bane of motorists and a big task for municipalities to manage.

An artificial intelligence software system developed by University of Waterloo researchers can simplify road maintenance to flag defects early, saving taxpayers money and drivers headaches.

"It would make everybody's lives a lot better," said John Zelek, an engineering professor at Waterloo.

Devinder Kumar, and Ph.D. student in Systems Design Engineering under the supervision of Alexander Wong, Canada Research Chair in the field of artificial intelligence, has found a better way to identify atomic structures, an essential step in improving materials selection in the aviation, construction and automotive industries. The findings of the open-access study, published in the journal Nature Communications, could result in greater confidence when determining the integrity of metals. Read more

A new discovery for a biomedical microscopy that can image into tissues to visualize absorbing structures is pioneered by a Systems Design Engineering professor.  Dr. Parsin Haji Reza and his colleagues recently reported their work in Optica. By taking advantage of photoacoustic initial pressures, a functional all-optical non-contact optical-resolution photoacoustic microscopy is reported at depths beyond the optical transport mean-free-path of the excitation wavelength. The proposed method is capable of providing optical resolution images to depths of 2.5mm.

When most people think of wearables, they typically think of wristband monitors and smartwatches. But there’s also things like “smart shirts,” actual garments that contain sensors for heart rate, breathing, and motion.