U of T ENGINEERING

U of T Engineering News

CivMin alumnus Donovan Pollitt (MinE 0T4) at the University of Toronto. (photo by Phill Snel)

An engineer’s legacy: How Murray Pollitt’s belief in Canadian industry inspired a scholarship

Professor Aryan Rezaei Rad (CivMin) with the newly installed robotic arm. (photo by Phill Snel)

CivMin launches its first industrial-scale robotic fabrication system for timber construction

Top row, left to right: Anne Lawrence and her father, Ross Lawrence (GeoE 5T6, MCom 5T9). Bottom row, left to right: Raymond Mao Bhushan (MinE 2T5, CivMin MASc student), his brother Ethan Mao (Year 2 ECE), Paul Walters (MinE 5T6). (photo by Kristin Philpot)

Why these 5T6 grads are still paying it forward, 70 years after graduation

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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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