Research news

Learn more about the latest discoveries and innovations from the U of T Engineering community. Our researchers are developing new ways of capturing and storing clean energy, medical devices that can save and extend lives, smarter ways to design and build cities and much more.

$An AI-enabled tool developed by Professor Timothy Chan (MIE) and PhD candidate Aaron Babier develops treatment plans for radiation therapy in a fraction of the time required by traditional methods. Chan will direct the new Centre for Analytics and Artificial Intelligence Engineering (CARTE). (Photo: Brian Tran)$

U of T Engineering to launch new AI research centre

May 8, 2019

The Centre for Analytics and Artificial Intelligence Engineering (CARTE) drives collaborative research between faculty members, graduate students and external partners

Professor Erin Bobicki (MSE, ChemE) is among five U of T Engineering researchers awarded NSERC Strategic Partnerships Grant. (Photo credit: Kevin Soobrian)

Strengthening engineering innovation with Strategic Partnerships Grants

May 6, 2019

U of T Engineering researchers are addressing critical challenges in advanced manufacturing, digital infrastructure and other critical areas

Professor Andreas Veneris (centre) and graduate students Ryan Berryhill (left) and Neil Veira (right) are part of a multidisciplinary group working on blockchain research at the University of Toronto. (Photo credit: Jessica MacInnis)

U of T Engineering hosts blockchain symposium to link academics, industry and the public

May 1, 2019

Part of Toronto Blockchain Week, this symposium highlighted blockchain research at Canada’s leading universities

Dr. Pierre Haenecour (left) of the Lunar and Planetary Laboratory at the University of Arizona and Professor Jane Howe (MSE, ChemE, at right), analyze images of stardust particles with Hitachi’s SU9000 low-voltage STEM/SEM electron microscope. (Photo courtesy of Maria Schuchardt, University of Arizona)

Cosmic dust reveals new insights on the formation of solar system

April 29, 2019

Professor Jane Howe’s expertise in electron microscopy critical to discovery of carbon and oxygen co-existing in grain of stardust

U of T Engineering’s Phil De Luna (MSE PhD 1T9) is the lead author of an article in Science that analyzes how green electricity and carbon capture could displace fossil fuels in the production of everything from fertilizer to textiles (Photo: Tyler Irving)

How to take the ‘petro’ out of the petrochemicals industry

April 25, 2019

New paper in Science by U of T Engineering research team charts a road map for displacing fossil fuels in the production of plastics, clothing and more

MASc student Tianqi Xu holds up a microrobot that was fabricated using their automated system. (Photo credit: Liz Do)

No assembly required: U of T Engineering researchers automate microrobotic designs

April 24, 2019

Professor Eric Diller’s lab uses magnetic 3D-printing technique to optimize the design and programming of tiny robots with health applications

The demand for goods transportation continues to rise, leading to increased traffic congestion across the GTHA. The newly launched Smart Freight Centre looks to find solutions. (Photo: Flickr)

Smart Freight Centre aims to deliver the goods — faster and greener

April 18, 2019

Newly launched hub brings together leading experts from universities, industry and government to research faster ways to ship across the Greater Toronto and Hamilton Area

Molly Shoichet elected to Royal Society

April 17, 2019

World-leading expert on regenerative medicine elected a Fellow of the UK’s national academy of sciences, the world’s oldest scientific academy and one of the most prestigious

ECE alumna Mai Mavinkurve is the co-founder of an artificial intelligence startup and an advocate for Canadian technology and transparent data governance (Photo credit: Jessica MacInnis)

This ECE alumna is expanding access to machine learning tools while advocating for data security

April 1, 2019

Startup founded by alumna Mai Mavinkurve is helping businesses improve productivity by using machine learning to make better decisions

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