Policy planning is overseen by the City Planning Department Policy Planning Group with some projects handled by the Special Projects Planning Group. These groups oversee various policy tasks including incorporating Regional and Provincial Planning into the City’s Planning program, developing Official Plan and Secondary Plan policies and undertaking other policy work related to natural heritage, […]

The Pyralume Online Streaming Platform project is a strategic product development initiative aimed at redefining the independent cinema experience. This innovative platform serves as a cutting-edge global stage, providing independent filmmakers with an avenue to showcase their exceptional creations to a worldwide audience. The project emphasizes user-centric design and flexibility by offering a range of […]

Our project seeks funding through the MITACS Globalink internship to introduce a revolutionary approach to pilot training by integrating virtual flight simulation and biometric machine learning. Dr. Michael Barnett-Cowan leads this cross-disciplinary initiative, utilizing his expertise in flight simulation and motion sickness to develop a sustainable, inclusive, and cost-effective flight training system. At the core […]

D-Wave is at the forefront of building quantum annealers, which are quantum computing devices that can potentially solve an important class of problems more efficiently than classical computers. One important goal of D-Wave is to claim that they have attained quantum supremacy, which means they have built a machine that can do something that no […]

Small reservoirs are widely used in semi-arid regions by local rural communities for water harvesting. South India is a prime example of a region characterized by an unpredictable, severe climate with over 160,000 ancient old water storage reservoir structures (known as tanks) that are no longer fully utilized since the introduction of groundwater extraction. Today, […]

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This project involves better understanding how climate change might affect our natural environment with the Region of Peel located within the Greater Toronto Area. The approach is to consider how vulnerable components of the natural environment, such as streams, forests and the organisms living in these habitats, might be to a new climate or extreme […]

The aim of this project is to develop a wearable device, called ImpactSense, to help measure performance on walking tests specific to mild cognitive impairment (MCI) and/or Alzheimer’s disease and related dementias. The proposed research will investigate whether the sensor can be used to understand the: 1) effects of distracted walking, such as walking while […]

Based on current and potential client feedback, our project is focused to develop a modern data pipeline for data cleaning, validation and audits. We also focus on helping clients who are interested in investing in certain portfolio companies who wish to evaluate the ESG performance of a company which might not have a system that […]

In this project, we plan to address the specific application and problem that TeTechS Inc is facing at this stage of its product development of photoconductive antennas, which is using its photoconductive antennas for characterizing performance of quantum cascade lasers (QCL) in time-domain measurement setup by demonstrating the capability of its proprietary terahertz sensor technology […]

The role of this internship is to assist in reaching the SSHRC goal for theDreamcatcher system of capturing cultural data, traditional ecological knowledge, and traditional land use in order to create as full of a historical, cultural, and economic record as is possible as well as strong land use management/consultation, water management, asset management, and […]

Portfolio optimization is pivotal in the financial domain, aiming to allocate assets to maximize returns and minimize risk. Conventional optimization techniques often fall short due to the financial markets’ intricate nature, the optimization landscape’s non-convexity, and the vastness of possible portfolios. This project introduces a novel approach by integrating quantum-inspired methods with machine learning techniques […]