Pre-clinical testing of total knee replacement implants traditionally requires separate experiments to characterize the biomechanical and durability performance of new designs, using separate and distinctly different testing apparatuses. This research aims to enhance pre-clinical through the development of a single test apparatus capable of performing sophisticated biomechanical and durability testing of knee implants. This is […]

The anterior cruciate ligament (ACL), located in the knee, is commonly injured during sports. Patients who experience ACL tears often delay or choose to forgo surgery, which can reduce knee stability and alter movement patterns. Knee bracing is a commonly used treatment method to stabilize the knee. A novel method of knee bracing has been […]

In recent years, there has been a rapid advancement of technology and an increased use of computer models to develop aircraft and aircraft systems. Unfortunately, safety assessment procedures have remained largely document-based, and thus have struggled to keep up with such rapid design changes. The objective of this project is to develop a solution that […]

Reducing CO2 emissions and improving the crash-resistance of passenger vehicles are two objectives that Canadians all share. One excellent technique to do both at the same time involves substituting existing body components with new advanced high strength steels (AHSS) that are produced with higher tensile strengths (better energy absorption and better anti-intrusion properties) and thinner […]

The realization of the upcoming 5th Generation of telecommunication standards (5G) requires ultra-broadband transceiver frontends that satisfy both power efficiency and linearity requirements. Since power amplifiers (PAs) are the most power-consuming blocks in these frontends, they are optimized to achieve higher efficiency, and hence lower operating cost and carbon footprint. However, high efficiency PAs suffer […]

The demonstration project provides the opportunity to substantiate the ability of the POWER system to repurpose wasted thermal energy from a cooking appliance’s exhaust gases and improve the overall restaurant energy performance across three Pizza Pizza locations within the Greater Toronto and Hamilton Area (GTHA). The data collected through the project will also allow for […]

Over the last decade, artificial intelligence has flourished. From a research niche, it has been developed into a versatile tool, seemingly on route to bring automation into every aspect of human life. At the same time, robotics technology has also advanced significantly, and inexpensive multi-robot systems promise to accomplish all those tasks that require both […]

Canonical methods of molecular discovery and reaction optimization rely on “trial-and-error” approaches and slow experimentation with low discovery rates. By harnessing high-throughput experimentation (HTE) with machine learning (ML) methods, artificial intelligence (AI) and robotics, we have the potential to dramatically accelerate the discovery and preparation of next generation molecules and materials. We will extract, unify, […]

Schedulability analysis aims at determining whether task executions complete before their specified deadlines. It is an important activity in developing real-time systems. However, in practice, engineers have had difficulties applying existing techniques mainly because the working assumptions of existing methods are often not valid in their systems. Specifically, uncertainties in real-time systems and hybrid scheduling […]

Humans possess the ability to see objects as having the same color even when viewed under different illuminations. Cameras inherently lack this capability. A process called auto white balance (AWB) has to be applied by the camera to mimic this behavior of the human visual system. AWB is one of the first steps in a […]

Next-generation integrated circuits require the innovation of new interconnect materials in order to maintain the performance improvements of Moore’s Law scaling. Cobalt (Co) and ruthenium (Ru) are two specific metals that are garnering strong interest for use in the filling of interconnects because of their better electrical performance and reliability at the extremely scaled dimensions […]

The main focus of this research is to develop representation learning architectures and algorithms that can help perform various multimodal understanding tasks, and at the same time reduce the need for human supervision in the form of costly annotations. To achieve this goal, a learning system must be able to: (1) learn new tasks or […]