Where should we place naloxone kits to save the most lives?
Professor Timothy Chan (MIE) and his team conducted an analysis of the city of Vancouver, which suggests leveraging transit stops to improve the availability of naloxone
Strong as steel, light as foam: Machine learning and nano-3D printing produce breakthrough high-performance, nano-architected materials
Research led by Professor Tobin Filleter (MIE) could benefit industries from automotive to aerospace
Interdisciplinary collaboration uses machine learning to uncover unknown patterns in genome organization
MIE professor Samin Aref is working with a research team led by Professor Philipp Maass
Eleven U of T Engineering researchers awarded Canada Research Chairs
Funding will advance research in cybersecurity of critical infrastructure, human centred automation and more
Machine learning analysis sheds light on who benefits from protected bike lanes
U of T Engineering analysis optimizes the placement of cycling infrastructure in Toronto according to different strategies — and finds a trade-off between equity and efficiency
NSERC CREATE project to train engineering students on environmentally aware development of AI
U of T Engineering professors Hans-Arno Jacobsen (ECE) and Natalie Enright Jerger (ECE, EngSci) are part of the team behind the new initiative
U of T Engineering researchers use chess AI to understand human creativity
Professor Michael Guerzhoy (MIE, EngSci) leads research introducing the first system that enables chess engines to identify moves as ‘brilliant’
