Welcome to U of T Engineering News

CivMin’s newest faculty member, Professor Giuliano Pretti, at the door to his new office. (photo by Phill Snel)

‘Motivation can move mountains’: Meet Professor Giuliano Pretti

Professors George Eleftheriades (ECE) and Yu Sun (MIE) have been elected as international members of the U.S. National Academy of Engineering. (Photos submitted)

Two U of T Engineering professors elected to the U.S. National Academy of Engineering

Representatives from Ericsson and the University of Toronto signed a new partnership agreement to explore opportunities for research collaboration and talent development. (photo by Johnny Guatto)

New partnership between U of T and Ericsson will lead to faster, more efficient cell phone networks

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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