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Professor Greg Evans stands in front of a white vehicle

U of T professor co-leads global partnership on non-exhaust vehicle emissions

"Students are at the centre of everything we do at U of T Engineering. That’s why my door’s always open – I encourage students to book a coffee chat with me," says Chris Yip, Dean of U of T Engineering. (photo by Daria Perevezentsev)

U of T Engineering Dean Chris Yip on how the Defy Gravity campaign is making a difference

Professor Adrian Nachman (ECE) is internationally renowned for his breakthroughs in mathematical problems related to medical imaging, some of which had been unsolved for decades. (photo courtesy of ECE)

Professor Adrian Nachman elected to the Royal Society of Canada

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Professor Aimy Bazylak is this year’s winner of the McLean Award from the Connaught Fund and the McLean endowment. (Photo: Roberta Baker)

McLean Award recipient Aimy Bazylak is creating new technologies for sustainable energy

A steel-tethered airship, known as an aerostat, designed by Solar Ship, Inc. The company is one of several clients whose projects are facilitated by U of T Engineering’s International Virtual Engineering Student Teams (InVEST) initiative. (Photo: Solar Ship, Inc.)

How to work effectively when your team is both global and virtual

A precision flight-control test in wind with a hexacopter drone from Professor Steven Waslander‘s (UTIAS)  lab. Waslander will use the funding to acquire the latest in motion-capture technology in order to develop next-generation drones. (Photo courtesy of Steven Waslander)

Five U of T Engineering projects receive funding boost for state-of-the-art research tools

In this simulation, atoms of five different chemical elements within nanoparticle are represented by different coloured spheres. A computer algorithm developed at U of T Engineering analyzes thousands of possible geometric configurations of these elements in order to predict which ones will have the best performance as industrial catalysts. (Image courtesy Zhuole Lu)

U of T Engineering researchers use machine learning to design smarter industrial catalysts