U of T ENGINEERING

U of T Engineering News

Armita Kashayardoost

‘You learn how to learn’: How one U of T grad gained the confidence to take on big challenges in clean energy and more

Professor Chou, left, looks at a screen with purple splotches displayed. A researcher sits at the table in the lab, pointing at one of the images on the screen.

Professor Leo Chou receives Ontario Early Researcher Award to advance vaccine and immunotherapy delivery

a medical practitioner wearing a stethoscope points at an AED

Launch of PADmap translates graduate research on defibrillators into a potentially life-saving tool

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The 2008 Sunrise Propane plant explosion in Toronto is one of the case studies taught in Professor Doug Perovic’s Forensic Engineering course. The course will be part of a new Certificate in Forensic Engineering, launching in Fall 2017. (Credit: Michael Gill via Flickr, under creative commons).

Making sense of disasters: U of T Engineering offers new certificate in Forensic Engineering

December 13, 2016

First-year students (from left) Michela Trozzo (Year 1 ECE), Christian Pavlidis (Year 1 CivE) and Elisha Lu (Year 1 ECE) work with a robotic arm in the Systems Control lab. More than 40 per cent of U of T Engineering's first-year students are female, the highest proportion in Ontario. (Credit: Roberta Baker).

Women make up more than 40 per cent of U of T Engineering first-year class

December 8, 2016

Professor Lesley Warren (standing, at right) and her colleagues are mining the genomes of microbes that thrive in wastewater generated by the resource extraction industry. Insights into how these organisms derive energy from metals and sulphur compounds could lead to new strategies for preventing pollution and optimizing mine reclamation. (Photo courtesy Lesley Warren)

Ancient microbes could offer insight on better mining wastewater strategies

December 8, 2016

Stanley Ng (IBBME) holds up a cartridge used to measure the gene expression levels of cancer cells. A team led by Ng has developed a new rapid test that can predict the effectiveness of leukemia treatments for a given patient, providing results in 24 to 48 hours. Photo: Luke Ng

New stem cell-based gene test predicts patient risk in acute myeloid leukemia

December 7, 2016

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