TBEP and MbD: Engineered smart scaffolds could help repair damaged hearts and muscles
Two multidisciplinary partnerships led by U of T Engineering researchers are developing implantable biomaterials that accelerate injury recovery, from car accidents to heart attacks.
New frontiers in health-care innovation
This article originally appeared in the 2016 issue of Skulematters magazine. Interdisciplinary research from U of T Engineering is helping us live longer, healthier lives. These projects from across our Faculty illustrate leading-edge innovations that will improve health care, from planning and prevention to diagnosis and treatment: Optimizing surgical schedules Long wait lists for elective surgeries […]
The next generation of solar pioneers: Electrifying a nation
U of T Engineering alumni John Paul Morgan and Shawn Qu are entrepreneurs whose ingenuity is lighting up parts of the Democratic Republic of Congo
U of T team advances to next round of Carbon XPRIZE competition
A team of U of T researchers led by Professor Ted Sargent had advanced to the second round of the NRG COSIA Carbon XPRIZE international competition.
Understanding circulating tumour cells
Ted Sargent (ECE) and Mahla Poudineh (ECE PhD 1T6) part of multidisciplinary research group developing new tool to track circulating tumour cells
Ontario Professional Engineers Awards gala honours seven members of U of T Engineering community
The event honours and celebrates engineers who have made exceptional contributions to their profession
U of T Engineering industry partners celebrated at inaugural awards ceremony
U of T Engineering recognized two landmark partnerships with its inaugural Industry Partnership Awards.
Huawei and U of T sign strategic partnership agreement
Signing ceremony ratifies agreement that will see the telecommunications leader invest $3 million in collaborative research projects
New AI algorithm taught by humans learns beyond its training
A new machine learning training method developed at U of T Engineering enables neural networks to learn directly from human-defined rules, opening new possibilities for artificial intelligence in fields from medical diagnostics to self-driving cars
