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.


The Self-Driving Lab for Human Organ Mimicry will use organoids and organs-on-chips – a well plate is pictured here – to allow researchers to move potential therapeutics to human clinical trials more rapidly. (Photo by Rick Lu)

U of T ‘self-driving lab’ to focus on next-gen human tissue models

The Self-Driving Laboratory for Human Organ Mimicry is one of six self-driving labs launched by the Acceleration Consortium to drive research across a range of fields

PhD candidate Xiao Shang sets up a part for printing using the directed energy deposition 3D printer.

This machine learning method aims to speed up the design of next-generation biomedical implants and aerospace materials

A team led by Professor Yu Zou (MSE) is using a deep learning and genetic algorithm framework to achieve application-specific mechanical properties by microstructure optimization

From left to right: Professor Jonathan Rocheleau (BME) and BME PhD candidate Cindy Bui.

U of T Engineering researchers unveil sensor for real-time cellular analysis in living zebrafish embryos

Researchers led by Professor Jonathan Rocheleau (BME) share their findings in a new paper published in Science Advances

IEEE has awarded two professors from ECE career-spanning awards for research in their respective fields: Professors Hoi-Kwong Lo (left) and J.J. Garcia-Luna-Aceves. IEEE is a professional association with hundreds of thousands of members around the globe. (Photos: submitted)

Two ECE professors win esteemed IEEE awards for pioneering contributions to their field

Professor Hoi-Kwong Lo honoured for his work in quantum information and quantum cryptography, and Professor J.J. Garcia-Luna-Aceves celebrated for his work in computer networks

Representatives from the Institute of Information and Communications Technology Planning and Evaluation, a South Korean government institution funding this program, visited U of T in July 2023 to discuss the applied AI program for South Korean graduate students. (Photo: Aaron Demeter)

U of T partnership will bring graduate students from South Korea to Toronto for six-month applied AI program

Initiative will be run through the Centre for Analytics and Artificial Intelligence Engineering (CARTE) and housed in the department of Mechanical and Industrial Engineering

Left to right: Matthew Nguyen (BME PhD candidate) and Professor Warren Chan (BME found that about 45% of nanoparticles that accumulate in tumours end up exiting them. (Photos: submitted)

U of T researchers challenge long-standing theory guiding nanoparticle treatment of tumours

Study could explain why some cancer treatments are struggling in clinical trials

From left to right: George Saegh, Mehdi Salakhi, Professor Murray Thomson, Franciska Toth and Luke Di Liddo.

U of T Engineering professor leads new global collaboration to advance net-zero hydrogen economy

Professor Murray Thomson (MIE) is the national and methane pyrolysis lead for the Global Hydrogen Production Technologies Centre

Professor Mohamad Moosavi stands in front of blackboard with a notebook in one hand, chalk in the other hand. A formula is written on the board in chalk.

U of T Engineering professor incorporating AI to help decarbonize chemical industries

Joint EMHSeed and XSeed Funding Program to support research on expanding database of metal-organic frameworks for AI analysis

ECE PhD candidate Yan Li (pictured), along with his supervisor Professor Willy Wong, built an online simulator showing the progression of glaucoma. The simulator is based on a data-driven model they developed that takes into consideration the physiological mechanism of the eye. (Photo: Matthew Tierney)

Online simulator could help glaucoma patients and doctors better understand disease progression

Professor Willy Wong and grad student Yan Li (both ECE) used a data-driven model that takes into account how the eye functions to simulate the progression of glaucoma