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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

Begum Yilmaz, Katarina Poffley and Emre Yilmaz hold their payload at the Canadian Space Agency’s Timmins stratospheric balloon base.

START1 takes flight: U of T Engineering student team explores radiation risks in space

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A precision flight-control test in wind with a hexacopter drone from Professor Steven Waslander‘s (UTIAS)  lab. Waslander will use the funding to acquire the latest in motion-capture technology in order to develop next-generation drones. (Photo courtesy of Steven Waslander)

Five U of T Engineering projects receive funding boost for state-of-the-art research tools

In this simulation, atoms of five different chemical elements within nanoparticle are represented by different coloured spheres. A computer algorithm developed at U of T Engineering analyzes thousands of possible geometric configurations of these elements in order to predict which ones will have the best performance as industrial catalysts. (Image courtesy Zhuole Lu)

U of T Engineering researchers use machine learning to design smarter industrial catalysts

Nick Mitrousis is a recent PhD graduate from the lab of University Professor Molly Shoichet (ChemE, BME). Mitrousis and Shoichet have just published a paper that describes a new strategy for repairing eye damage caused by conditions such as age-related macular degeneration (AMD) or retinitis pigmentosa. (Photo: Mindy Ngyuen)

U of T Engineering researchers develop cell injection technique that could help reverse vision loss

Elias Khalil joins MIE as an assistant professor. His research interests are in artificial intelligence, with a focus on machine learning and discrete optimization.

MIE welcomes new faculty member Elias Khalil