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Katie Hung and Anastasia Polulyakhova in front of building on campus.

U of T Engineering students getting a leg up with Project Leap

An improved mathematical model developed by an international team combines the “physics of the cloud” with the “physics of the crowd” to predict the dominant modes of transmission for the SARS-COV-2 virus that causes COVID-19. (Image: photocreo, via Envato)

Improved COVID-19 model leverages flow physics of airborne respiratory droplet ‘clouds’

water tap handle

New modelling tool for intermittent water distribution systems could improve service for over a billion people

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Bertrand Neyhouse smiles at the camera, in front of a U of T building

‘Electrochemistry for a sustainable future’: Meet new ChemE professor Bertrand Neyhouse

July 29, 2025

Canadian and Korean officials

AI in Manufacturing: U of T partnership with South Korean institutions to enhance efficiency and performance across the value chain

July 29, 2025

oil droplets repelled by fabric

U of T Engineering researchers develop safer alternative non-stick coating

July 23, 2025

Mihailidis stands with his hand on a wheelchair, with a forested background

U of T professor Alex Mihailidis appointed Knight of the Ordre des Palmes académiques

July 18, 2025

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