This project will facilitate the development and validation of a novel AI-based model that can improve the quality of PET images such that diagnostic-quality images can be reconstructed from administering a smaller radiopharmaceutical dose to the patient. The two main advantages of this are decreased radiation dose to the patient which decreases the chance of […]

Infrastructures including buildings and bridges show dynamic behaviors due to earthquakes, wind loads, and etc. The excessive dynamic response sometimes leads to structural failure. Therefore, accurate prediction method of the dynamic response for the structures is required to secure the safety the structures. A neural network augmented physics (NNAP) model which is based on deep […]

This project involves the feasibility study of specific community microgrid technologies for the development of a Smart Community in London, Ontario by SE2 Technologies Inc. A first of its kind, such a community will represent a learning platform for universities and other cities in Canada. The smart community will consist of a minimum of 50 […]

The proposed project is to research and develop a user review analysis system for mobile games using machine learning and natural language processing techniques. Traditionally, user review analyses are done by humans, which is inefficient and relatively slow. The project will involve research in the specific areas of topic modeling, sentiment analysis and opinion spam […]

Brain cancers represent one of the most aggressive tumors that are especially challenging to treat through drugs, partially due to the inherent protection by the blood-brain barrier. Therefore, developing drugs that have specific chemical properties that allow them to cross the blood-brain-barrier, while simultaneously retaining their drug-like features is a heavily sought-after approach in treating […]

Capturing high quality images is a major selling point of modern flagship smartphones. However, due to physical constraints on sensor size, capturing a good image with a mobile phone is challenging especially in low-light conditions. To obtain a bright image, one has to use a long exposure or digitally gain up a short exposure image. […]

The increased demand for reliable and useful human resource information has pushed the subject to the top of the practitioners’ agenda. Accordingly, human resource and capital management is also one of Scotiabank’s core priorities. As an ever-growing multinational company that employs a large number of employees, human resource information reporting is a vital service for […]

Bitcoin! Ethereum! Blockchain! In the past year, these words made headline news globally. The promise of blockchain, or decentralized ledger-based technologies, it has electrified the world and created an excitement for technology that was last seen in the 1990s when the internet was entering mainstream. The core premise of the technology is that blockchains are […]

This proposed research will create a modem internal licensing database management system, which will be developed at Side Effects. The main objectives of this applied research are (1) manage customer and license information; (2) ensure the security of the system; (3) test the application efficiently and automatically; (4) generate a useful report based on the […]

Disabilities secondary to traumatic brain injury are a major source of burden. Specifically, patients in Ontario seeking tertiary care for persisting symptoms following mild traumatic brain injury (mTBI) result in health costs of over $110 million annually (Hunt et al). Numerous treatments have been utilized and studied in an attempt to treat persistent postconcussive symptoms. […]

Children and youth flourish in environments that are predictable, safe, and structured. However, this is not the case for many kids in Canada. The COVID-19 pandemic has disrupted these protective factors and exacerbated risk factors. Against this background, the first objective of this study is to explore the present threats facing children and youth in […]

Streaming video applications in the home (video doorbells, security cameras, babycams, robot vacuums etc.) have started to become commonplace. Automatically detecting events of interest in such video streams can help to reduce manual effort from users in sifting through false alarms, enhance user safety, comfort and satisfaction, as well as enable new applications in areas […]