Research news

Learn more about the latest discoveries and innovations from the U of T Engineering community. Our researchers are developing new ways of capturing and storing clean energy, medical devices that can save and extend lives, smarter ways to design and build cities and much more.

Left: Fish such as tilapia can disperse and collect pigment granules in their skin to change their colour and shading. Right: An optofluidic cell created by U of T Engineering researchers achieves the same effect by mixing two immiscible fluids, one of which contains a dye. (Image credits: left, Richard Wheeler (licensed under Creative Commons); right, Raphael Kay.)

Dynamic building facades inspired by marine organisms could reduce heating, cooling and lighting costs

A U of T Engineering team used carefully controlled fluid injections to design active materials that can help reduce energy usage for buildings

This model heart ventricle, made with real living heart cells, beats strongly enough to pump fluid inside a tube. It can be used to study heart disease and test out potential therapies, without the need for invasive surgery. (Photo: Sargol Okhovatian)

Reverse engineering the heart: U of T Engineering team creates bioartificial left ventricle

U of T Engineering researchers have grown a small-scale model of a human left heart ventricle in the lab. The bioartificial tissue construct is made with living heart cells and beats strongly enough to pump fluid inside a bioreactor.  In the human heart, the left ventricle is the one that pumps freshly oxygenated blood into […]

ECE Professor Parham Aarabi has developed an artificial computer memory that mimics several properties of human recall, which could enhance artificial intelligence applications and support tools to help people with memory loss. (Photo: Eugene Mymrin/Getty Images)

ECE professor uses ‘fuzzy’ computer algorithms to help people with memory loss

Professor Parham Aarabi has set up a tool using a simple email-based interface to remind participants of important information based on algorithmic priority and a relevant index of keywords

mosquito in the dark on a vertical surface

Mosquito-repellent paint among five projects funded by CGEN seed grant program

Global Engineering Seed (GESeed) supports engineering projects that address major challenges to Indigenous populations and marginalized communities in the Global South

A rendering of an electric vehicle prototype shows the conduits that carry fluid to cool different internal components, such as the battery, motor and other electronics. (Image: U of T Electrification Hub)

New CREATE grant powers training and innovation in thermal management to enhance performance of electric vehicles and battery systems

Multidisciplinary team led by Alumni Distinguished Professor Cristina Amon (MIE) includes 10 professors and 21 industry, academia, and government collaborators from across Canada and international

Researchers at U of T Engineering and the University of Waterloo used wood-derived materials to construct this device, about the size of a credit card, which can be used to harvest electrical energy from everyday movements via the triboelectric effect. (Photo: Md Masud Rana, University of Waterloo)

Wood-derived prototype could lead to self-powered biosensors

Biodegradable device uses lignin-containing nanomaterials to create electrical energy from movement

Dr. Hugues Thomas (UTIAS) and his collaborators created a new method for robot navigation based on self-supervised deep learning (Photo: Safa Jinje)

UTIAS researchers design socially aware robots to move safely around people

Collaboration between Professor Tim Barfoot (UTIAS) and Apple Machine Learning applies new approach for navigating spaces with moveable obstacles

Professors Yu Zou (MSE), left, and Nicolas Papernot (ECE), right, received Early Researcher Awards from the Ontario Ministry of Colleges and Universities in the latest round of funding. (Photos: Submitted)

Ontario Early Researcher Awards support materials for next-generation vehicles and trustworthy applications of machine learning

Professors Yu Zou (MSE) and Nicolas Papernot (ECE) receive support in the latest round

Graduate research assistant Weiwu Chen (CivMin) counts microplastics using a microscope in the lab of Professor Elodie Passeport (CivMin, ChemE). (Photo: Shuyao Tan)

U of T Engineering researchers use machine learning to enhance environmental monitoring of microplastics

More accurate measurements are critical to preventing microplastics from entering the environment — or removing those that are already there