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.

Professor Parham Aarabi (ECE) is one of a group of AI experts behind HALT AI, a U of T service that tests for bias in AI systems across a variety of diversity dimensions, such as gender, age and race. (Photo: Johnny Guatto)

New U of T initiative to assess bias in AI systems

U of T service measures the performance of AI algorithms across diverse inputs, such as gender, age and race.

SmartSpouts — low-cost sensors embedded in these water filters — can track when and for how long the spigot is open. More than 200 of them have been successfully deployed in a radomized controlled trial in South Africa's Limpopo Province. (Photo: David Meyer)

This low-cost smart sensor can help optimize interventions to improve water quality and public health

Data gathered from large-scale field trials can indicate which technologies or social interventions provide maximum benefit

Professors Elodie Passeport (CivMin, ChemE) and Ya-Huei (Cathy) Chin (ChemE) have both received renewed Canada Research Chairs.

Renewed Canada Research Chairs will power research into green chemistry and environmental remediation

Professors Elodie Passeport (CivMin, ChemE) and Ya-Huei (Cathy) Chin (ChemE) have both received renewed Canada Research Chairs

Zeus, a self-driving electric car created by a team of students from U of T Engineering, parked outside the MarsDome at the University of Toronto Institute for Aerospace Studies. The team has placed first in the intercollegiate Autodrive Challenge the last four years in a row. (Photo: Chude Qian)

AutoDrive Challenge™: U of T Engineering places first for the fourth straight year

A team of more than 70 undergraduate and graduate students has designed and built an award-winning autonomous electric vehicle

A device developed at U of T's Institute of Biomedical Engineering makes use of an ordinary smartphone camera to rapidly detect COVID-19. (Image courtesy Johnny Zhang and Ayden Malekjahani)

Researchers develop a quantum dot smartphone device to diagnose and track COVID-19

Researchers at the University of Toronto (Institute of Biomedical Engineering, Department of Chemistry, Donnelly Centre for Cellular and Biomolecular Research) in collaboration with Sunnybrook Health Sciences Centre, Public Health Ontario, and Mt. Sinai Hospital have engineered a diagnostic test that makes use of a smartphone camera to surveil and track COVID-19 patients. This finding could […]

Professor Paul Santerre (pictured) is the University of Toronto’s corresponding author for this new study, and the first author, Dr. Kyle Battiston, is a recent graduate of Dr. Santerre’s lab and BME alumni. The co-industry lead author is a University of Toronto alumni, Dr. Wendy Naimark (Chief Technology officer for Ripple Therapeutics).

New method can improve drug delivery in implants

A biomaterial discovery yields better control over drug release profiles in implants.

Professor Eric Diller (MIE) is collaborating with medical researchers to develop dexterous, magnetically controlled microrobots that could perform minimally invasive brain surgery. (Photo: Tyler Irving)

U of T researchers develop first-of-its-kind dexterous microrobots for neurosurgery

The tiny magnetic gripper tools could one day be used to perform minimally invasive brain surgery

Gamma Knife radiosurgery, performed mainly on the brain, uses medical imaging to create a treatment plan, which can be optimized by a quantum-inspired technology called the Digital Annealer. (Photo by Nikita Karchevskyi via Envato)

Researchers apply quantum-inspired technology to reduce radiation treatment planning time

Digital Annealer technology application is latest development in longstanding collaboration between U of T Engineering and Fujitsu Laboratories

Lab Manager Emily Hopkins adjusts the Vici HPLC in the Aspuru-Guzik laboratory. (Photo by Johnny Guatto)

New Acceleration Consortium at University of Toronto applies artificial intelligence to discovery of advanced materials

Global coalition aims to accelerate research of new materials that will increase affordability and sustainability in a wide range of applications