News

A student team at the University of Waterloo has climbed to the top of the standings in an international robotics competition.

UWAT, which has been growing since its launch in 2018, is ranked first among 77 teams from around the world, including China, Mexico, Spain and Morocco, in the VEX U event operated by the Robotics Education and Competition Foundation.

An alumnus of Waterloo Engineering who parlayed his graduate research into a startup company that is out to solve worldwide water problems has been recognized by a national innovation organization.

Jason Deglint, a co-founder of Blue Lion Labs, is one of five winners of a Mitacs Entrepreneur Award for turning research into businesses that impact the lives of Canadians.

An outreach program at the University of Waterloo that gets kids interested in science, technology, engineering and mathematics (STEM) through hands-on activities has been awarded almost $325,000 in federal funding over three years.

The money will be used by Engineering Science Quest (ESQ) to support full-time staff and a free workshop program designed to reach more girls, disadvantaged youths, Indigenous youths and youths with disabilities.

The past weeks have been hard for so many.

We share the heartbreak and horror of the deadly terrorist attack on a Muslim family in London, Ontario. Our hearts go out to our Muslim friends - colleagues, students, and the wider Muslim community. 

We also share the profound sense of loss of futures cut short with the remains of the 215 children buried at the former Kamloops Residential School. 

A professor at Waterloo Engineering has been recognized by a leading industry association as one of the 20 most influential academics in smart manufacturing.

Mihaela Vlasea, associate research director of the Multi-Scale Additive Manufacturing (MSAM) Lab, is one of just three women and two academics from Canada who made the list, which was announced today by the SME.

From self-driving cars to intelligent voice assistants to smart factories, Artificial Intelligence (AI) is transforming every sector of the economy and the very fabric of society in fundamental ways. The University of Waterloo, a long-time leader in innovation, has been at the forefront of this transformation for decades, but especially so since the 2018 launch of the Waterloo Artificial Intelligence Institute – Waterloo.AI.

Four high-risk, high-reward research projects led by Waterloo Engineering professors were awarded a total of $1 million in federal funding this week.

Each of the projects is eligible for up to $250,000 over two years under the New Frontiers in Research Fund 2020 Exploration program, which brings researchers from different disciplines together to pursue breakthrough ideas.

Waterloo Engineering is offering free tutoring to high school students across Ontario to help them succeed with remote learning during the COVID-19 pandemic.

The new program, known as Hive Mind, is aimed at Grade 10, 11 and 12 students who are struggling in advanced functions, calculus, chemistry and physics — all key subjects required to pursue post-secondary engineering programs. 

Artificial intelligence (AI) technology developed by researchers at Waterloo Engineering is capable of assessing the severity of COVID-19 cases with a promising degree of accuracy.

The study, part of the COVID-Net open-source initiative launched more than a year ago, involved researchers from Waterloo and spin-off startup company DarwinAI, as well as radiologists at the Stony Brook School of Medicine and the Montefiore Medical Center in New York.

Researchers at Waterloo Engineering and in Japan have developed a mathematical method to improve the safety of autonomous vehicles and other autonomous systems.

The new tool, developed as part of a five-year collaboration, gives engineers a systematic way to determine the safety margin made necessary by uncertainties in sensors and artificial intelligence (AI) algorithms.

In the case of autonomous vehicles, for instance, extra braking distance may be required to guarantee safety because systems can perceive objects to be further away than they actually are.