Join us this month as Prof. Michael Carter discusses the challenges facing the health care industry and potential engineering-related solutions. Health Care is the number one industry in North America; bigger than automotive, telecommunications, and steel. Healthcare systems all over the world are amid a serious financial crisis. We were in trouble before COVID struck […]

Featuring Dr. Birsen Donmez Professor, Department of Mechanical & Industrial Engineering Canada Research Chair in Human Factors & Transportation, NSERC Driving has been transformed in recent years, but how have these technological advances impacted our safety? Today, vehicles are capable of detecting/reacting to hazards, maintaining speed and the correct distance from surrounding vehicles, and assuming […]

Join us this month as Professor Mark Kortschot highlights the key principles of 3D printing and addresses the possible benefits and limitations of this family of techniques. Industrial designers have used 3D printing technology for almost 35 years to build prototypes of their designs, but the field has expanded dramatically over the past ten years. […]

Artificial intelligence is an exciting field spanning computer science, engineering, mathematics, and statistics. In recent years, it has become a hot topic that promises to revolutionize many aspects of our daily lives ranging from our cars to our health. However, only a few truly understand what artificial intelligence represents, and how it can be helpful […]

Did you know that the Drinking Water Research Group (DWRG) at the University of Toronto has received funding from Environment and Climate Change Canada (ECCC), as well as the Natural Sciences and Engineering Research Council of Canada (NSERC) to investigate microplastics in Canadian drinking water? Efforts by the DWRG over the past three years have […]

This special event will be featured as part of the Skule Lunch & Learn Series and will showcase the innovative and progressive research currently underway at the Faculty of Applied Science & Engineering. With professors from different departments sharing their expertise and research, this event will be an exciting display of the diversity of research […]

Artificial Intelligence (A.I.) is now a part of the standard physical scientist's tool kit, and it is regularly used to discover exciting new materials and processes. But A.I.'s are famously fickle, susceptible to data set bias and imbalance, subject to information leakage during training, and reliant on its human to evaluate its performance. Join us […]