E-quester is on a mission to fight climate change by sucking a gigaton of CO2 out of the air annually by 2050 – that’s the power of 40 billion trees! E-quester is a team of passionate researchers and engineers revolutionizing carbon capture with our innovative CO2 direct air capture (DAC) technology developed at the University […]

The project will develop a data mining strategy on how to efficiently use Geotab’s data from multiple sources to isolate network connectivity logs in Geotab’s data, interpolate the GPS coordinates associated with network logs, acquire fuel consumption rates and related opportunities. It will involve a literature survey of the existing algorithms to gain valuable insights. […]

The City of Toronto operates one of the largest and most diverse fleets in North America. Despite City’s commitment to road safety, incidents involving municipal fleet vehicles remain a challenge. This project ultimately aims to reduce incidents and improve fleet safety among light-duty vehicle fleet drivers within the City’s Transportation Services Division by targeting risky […]

Mobile robots equipped with chemical, radiological and explosive detectors are deployed during events where CBRNE materials have been dispersed; sending robots provides key reconnaissance data while reducing personnel exposure. Operators rely on camera views and on-board detectors to drive the robots using joysticks, and they have to control every aspect of the robot operation. Live […]

The current project aims to engage with adults with neurodevelopmental disabilities and their families/caregivers and service providers to gain an understanding of best strategies and practices around engagement of brain and mental health. The expected benefit of this program is to support CAMH and the Azrieli Adult Neurodevelopmental Centre in their goal of improving the […]

Combining engineers from Australia and engineer interns from Canada to co-design and test new projects for development in the Electric vehicle and trailer braking industries.

Major depression (MDD) is a chronic psychiatric disorder. The aim of this project is to examine the link between specific molecular alterations and neuropathology in the brain in patients with MDD. We will use post-mortem brains that were collected by the Sao Paulo autopsy service. More specifically, oxidative modifications to proteins and lipids, and levels […]

Personalized ad targeting is one of the most important features to ensure a successful advertising campaign—e.g., F-150 ford pickup trucks are best shown to construction workers than teenage girls. Another important aspect of ad personalization is frequency capping the ads. For example, showing the same ad 100 times to 1 user will result in not […]

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Through this research project the intern will investigate the potential of data visualization incorporating a social collaboration element tied to typical data types in asset management. The partner organization Riva Modeling Systems will benefit from the proposed research by providing its clients with an enhanced asset management tool that allows various groups or individuals within […]

This project aims to develop a large, labelled dataset of normal canine behaviour for use in developing machine learning algorithms to detect abnormal animal physiological behaviour. These machine learning algorithms will enable veterinarians to collect high-quality data of their patients in their natural environments. This innovative solution has the potential to improve the quality of […]

Perform an exploratory research to investigate the potential to extract knowledge by aggregating historical data across the company’s clients and applying machine learning techniques on them. The goal is to device prediction models that can forecast the condition of certain events(such as life of pipelines) using statistical analysis. Riva Modeling( partner organization) will benefit from […]