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MIE PhD candidate Arman Arezoomand in the Decisionics Lab of Professor Fae Azhari (MIE, CivMin). Thanks to the Data Sciences Institute (DSI) Doctoral Student Fellowship, Arezoomand is advancing research on robotic skin for prosthetics and other robotic applications. (photo by Sarah Yuan)

Research into ‘robotic skin’ could help restore a sense of touch for those with prosthetic digits

Milos Stojadinovic explains how banks safeguard themselves and their customers from cyber threats at the inaugural Tech@RBC Insider session. (photo by Neil Ta)

Generous RBC gift creates transformative scholarships, sets students up for careers in tech

Left to right: Computer Science student Vishwa Dave and Hudson Jantzi (Year 1 CompE) both received a 2025 Schulich Leader Scholarship. (photos courtesy of students)

2025 Schulich Leaders grateful for ‘life-changing’ scholarship to study STEM at U of T

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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