The proposed project is to develop a bioaerosol sampler which will have minimal impact on the infectivity of captured viruses. Airborne viruses are subjected to environmental conditions which could affect their potential of infectivity as well as their capacity to resist the shearing forces and desiccating conditions during sampling procedures with standard sampling apparatuses. This […]

Capturing and manipulating 3D scenes is a topic of great interest with applications in photography, augmented reality, and robotics. Neural Radiance Fields, or NeRFs, is an emerging technology that enables high fidelity scene modeling and manipulation. This is of great interest to Samsung, as it can help create new photographic experiences for users. Our project […]

Deep Learning (DL) is seen by many as “the” framework to solve complex problems involved in numerous applications that influence people’s lives. It is widely used in safety and security-critical environments such as self-driving cars as well as drones and robotics. This makes it highly essential to secure DL algorithms and systems from malicious actors. […]

In 1982 theoretical physicist Richard Feynman stated, “Nature isn’t classical … and if you want to make a simulation of nature, you’d better make it quantum mechanical”. The goal of this Mitacs internship project is to do just that. This project focuses on simulating quantum systems on a quantum computer – a new kind of […]

CiviCRM is an open source constituent relationship management system used by over 11,000 non-profit organizations around the world. Although about 170 host more than 250k records, about a quarter are used by small non-profits with between 2,500 and 10,000 contacts. These organizations maintain sensitive personal information including donation information, event attendance, volunteering data, and case […]

The purpose of this research is to compare the musicians’ genetics to the general population to understand the role of genetics in how music training influences brains changes. Neuroimaging research, behavioural studies, and music-based interventions show that music training influences neuroplasticity (i.e., the brain’s ability to change and adapt) because it is a special type […]

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. […]