An Edmonton research lab is tapping into some international talent to help bring their high-tech solutions for athletes out of the lab and onto the football field.

Dr. Christina Gonzalez can detect explosives with a single piece of paper. But, until recently, Christina’s idea had been largely relegated to the pages of her PhD thesis and she’d since moved on to start teaching.

An autonomous intelligence system is helping seniors stay safe both at home and in care facilities, thanks to a collaboration between University of Alberta computing scientists and software technology company Spxtrm AI.

The devastating impacts of flooding are widely understood, but for Mitacs Globalink intern Ashwini Petchiappan they hit close to home. Ashwini and her family were living in Mumbai when the city experienced a catastrophic flood in 2005.

“By collaborating with other businesses and customers at the local level who share my values, I hope to develop locally-oriented solutions to food security. I see cooperation as key to establishing a local food industry that rivals the global industrial food system.”

“I wasn’t one of those people who started university with plans to launch a company,” said Jamie Yuen. “But the success of our Mitacs internship and our partnership with BMI made starting Copperstone Technologies in 2014 the logical next step.”

Thanks to a Mitacs Accelerate partnership with industry, researchers have discovered how a type of dietary fat can provide relief for this disease, and create business opportunities for the treatment of other conditions.

Alberto Solis Serrano, from Mexico’s Universidad Autónoma de Nuevo León is the recipient of the Mitacs Undergraduate Award for Outstanding Innovation.

Early in the development of their HUAR tools, the company identified a need to tap into the expertise of a researcher with an understanding of acoustics and sound processing. Having been introduced to Mitacs’ programs through their local Business Development representative, the company was paired to Ali Zareian, a PhD student from the Department of Mechanical and Manufacturing Engineering at the University of Calgary.

Ken developed an algorithm that can accurately predict the risk of a chat message in a computationally efficient manner. His algorithm was able to identify a number of spelling variants of blacklisted words and evasive patterns that had previously gone undetected by human moderators.