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Drawing on experience in athletics, marketing, behavioural science and industry, Professor Alex Kaju (ISTEP) brings a practical approach to engineering education. (photo courtesy of Alex Kaju)

‘The goal is to bring the outside world into the classroom’: Meet Professor Alex Kaju

Professor Pakpong Chirarattananon (MIE) draws inspiration from nature to design robots that fly, hop, crawl or seamlessly combine multiple modes of locomotion. (photo courtesy of Pakpong Chirarattananon)

‘Simplicity wins when designing bio-inspired robots’: Meet MIE Professor Pakpong Chirarattananon

An AI model segments flames and smoke in aerial footage, helping researchers track wildfire growth and build more accurate predictions. (photo courtesy of Steven Waslander)

New AI prediction model could transform how Canada fights wildfires

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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

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

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

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