The project involves modifying silicone with phenolic antioxidant as an agent that will enable the ability for the silicone to be used as a dielectric for elastomer actuators which have biomedical devices and soft robotics applications. The outcome of the project would be the discovery of new sustainable way to synthesize dielectric elastomer with green […]

There is an urgent need for carbon free sources of energy to mitigate the climate change effects. Hydrogen is a very promising fuel to transition to climate-friendly energy and sustainable energy future. However, most hydrogen is produced from carbon sources and thus undesired emissions are unavoidable during the production. One key solution is to use […]

As much of the performing arts activity has moved to the virtual space over the past eighteen months, an effective online presence, as well as an efficient way to reach potential audiences has become essential for arts organizations everywhere. Information that can be machine processed effectively is key to a successful online presence. However, existing […]

A lot of digital data is produced on a daily basis with high speed and complex formats. It is challenging to work and deal with such data. Data is in different formats from different sources and it is hard to organize, search and retrieve data. This makes it difficult to organize, clean and analyze data. […]

The technology vertical is rather fragmented. More specifically, solutions providers with offerings such as cloud platforms and managed services oftentimes only offer that one solution. This project will attempt to address the fragmentation of the industry via consolidation of key players. Consolidation and acquisitions can only be achieved by obtaining a certain amount of capital, […]

Combined water management system including integrated composting toilets, greywater diversion with biological filtration, and rainwater harvesting for irrigation. Avoids the use of traditional septic fields or tanks in an effort to create a safe, decentralized, low maintenance, and repeatable holistic water and waste management system that does not contribute to soil nutrient depletion, erosion, or […]

Two pharmaceutical products for the treatment of neurological diseases developed by Neuractas Therapeutics require fine tuning to enhance their solubility, bioavailability and stability towards relative humidity. Extensive experimental research will be carried out to improve the polymorphic distribution of the products by high through-put crystallization to improve the solubility of one of the products. In […]

Trimac faces a challenge in developing quality customer leads for our financial offering. The process we currently employing is tracking news published in industry newsletters and finding contact information for companies in the news item. This approach has been somewhat successful but improvement is warranted as it certainly has not identified the full universe of […]

MEGA InTech aims to maintain healthy workers and prevent injuries. This research will advance a smart insole to deliver analyses of ambulatory gait and posture. Specifically, signal processing and sensor fusion algorithms to deliver detailed metrics of gait and occupational ergonomics will be developed. The proposed methodology will leverage the partner’s prototype insole sensor hardware […]

MLSE LaunchPad is a sport for development (SFD) organization in Moss Park, Toronto that uses sport and physical activity to build healthy communities. A trauma- and violence- informed approach is a treatment practice used to provide safe and inclusive spaces for traumatized youth, however, it is rarely incorporated in SFD programs. In collaboration with MLSE […]

Metal-based direct energy deposition processes ideally require feedback sensing of the deposition quality using camera detectors as they provide spatial and temporal state signatures of the process. Image processing algorithms are challenging to develop due to changing process operating conditions. Machine learning models have recently gained in popularity due to their ability to predict process […]

A hybrid computational framework for short-term flood prediction in urban watersheds (characterized by overland runoff) will be developed to improve prediction accuracy. The framework aims to accurately predict an event, e.g. flood or no-flood, as opposed to traditional methods which estimate water flow characteristics, e.g. 6 feet above flood stage. Successful early prediction of these […]