U of T Engineering researchers show the lightweight sensor can detect ice formation, melting and detachment in real time ...

Paul Giampuzzi (MIE), Rehman Merali (UTIAS), Brendan Wong (ECE), Merrick Zoubeiri (ECE), Arian Omidzohour (ECE) and Soren Massoumi (ECE) won gold at RoboGames in the 120-lb Combat Robot category.

Rahul Goel (EngSci 1T6, UTIAS PhD candidate) created NordSpace with the goal to make Canadian commercial space exploration a ...

Professor Amy Bilton (MIE) leads a new research project dedicated to leveraging big data to advance global development ...

A new material developed by researchers from U of T Engineering could offer a safer alternative to the non-stick chemicals commonly used in cookware and other applications. The new substance repels ...

A new paper by Professor Isabelle Rao in the Department of Mechanical & Industrial Engineering (MIE) uses mathematical modelling to show the impact of providing stable housing to people experiencing ...

“This honour means a lot to me, especially when I consider all of the inspiring researchers who have held it in years past,” says Sargent. “What this award celebrates is a truly global collaboration ...

A U of T Engineering team has collaborated with researchers in the Wilfred and Joyce Posluns Centre for Image Guided Innovation and Therapeutic Intervention at The Hospital for Sick Children (SickKids ...

Researchers at U of T Engineering, led by Professor Yu Zou (MSE), are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. In a new paper, published in ...

U of T Engineering researchers are working to enable a future where a single, non-invasive injection under the eyelid could replace months of daily eye drops in treating glaucoma, a leading cause of ...

New funding from NSERC and UK Research and Innovation (UKRI) will advance several U of T Engineering projects related to quantum communication networks, quantum computing and more. Professor Li Qian ...

Researchers at the University of Toronto’s Faculty of Applied Science & Engineering have used machine learning to design nano-architected materials that have the strength of carbon steel but the ...