Insider threat is one of the most damaging security threats to the safety of data, systems, and intellectual property of institutions. Typical threats caused by malicious insiders are trade secrets / intellectual property theft, disclosure of classified information, theft of personal information and system sabotage. Malicious actions of insider threats are performed by authorized personnel […]

The proposed project mainly focuses on developing an innovative gas/liquid contacting technology that is of critical importance to a wide range of process industries and environmental-management operations. Successful development and implementation of this project are expected to: • Reduce the environmental impact of a variety of operations that are needed to meet human needs and […]

There has been a dramatic increase in digital well-being products in recent years and there is a market saturated with ineffective user experiences and little to no sustainable, desired behavioural change. By assessing and enhancing the effectiveness of a personalized approach to digital well-being app interaction through machine learning and emotion-driven adaptive computing, we can […]

Numerous species of soil bacteria flourish in the rhizosphere of plants, which may grow in, on, or around plant tissues and stimulate plant growth by a plethora of mechanisms. These bacteria are collectively known as plant growth promoting rhizobacteria (PGPR). Bacillus velezensis is a PGPR that promotes plant growth, enhances drought stress tolerance, and suppresses […]

Jaza Energy Hubs supply energy separate from the unreliable local grid for rural communities in Africa. They do this via solar energy, which is abundant in this area, and store the energy in specially made lithium ion batteries. These batteries are removable so that locals can take to their dwelling. Because of old data being […]

This project will develop a low cost, high-frequency ultrasonic scanner that will provide two dimensional images of small animals. The system is targeted at the academic researchers and small biotechnology firms that use small animals for basic science research or testing of therapeutics. A novel scanning mechanism, currently at prototype stage will be developed and […]

Artificial intelligence coupled with machine vision agrochemical sprayers can replace traditional uniform applications. Novel advancements utilizing high resolution images with deep learning techniques are required to develop new algorithms for advanced real-time automated classification. Fields will be surveyed, and a digital library database of images will be acquired for the major target weeds that are […]

What if our buildings, instead of producing 30% of the world’s carbon emissions, could act as a carbon sink? Soft Concrete aims to rethink concrete in the built environment. The goal of this study is to explore sustainable alternatives to concrete, one of the largest sources of carbon in modern construction, but to retain the […]

The oil and gas industry is in the top five largest sectors in the world in terms of dollar value, generating an estimated $3.32 trillion in revenue annually. It is estimated that 40-60% of workforce in the oil and gas industry will retire in the next five years, so preserving the knowledge stored in documents […]

Accurate and sensitive analysis of lipids is a challenge for the medical and nutritional fields. In this proposal, we describe a new method for their analysis using a technique seldom applied to these problems. We propose to make a number of modifications to existing instrumentation to facilitate this; in partnership with Dalhousie and the Atlantic […]

South Korea has relatively high rates of suicide, making suicide a contemporary social issue that merits study. Korea has a long history of colonial violence, as well as decades of rapid modernization and social change. I believe the concept of suicide, and broader concepts of health for that matter, should be mapped throughout Korea’s unfortunate […]

The goal of this project is to train a machine learning model that can identify player’s personae using VLT (Video Lottery Terminal) data within a transactiontime limit. The personae are results of the previews MITACS project. Using unsupervised learning each playing session was associated with a playstyle. Identifying the playstyle as soon as possible is […]