Global mass coral bleaching events caused by marine heatwaves are becoming ever more frequent under climate change. Without action, the socio-ecological services provided by coral reefs may be lost. Active management interventions may be required to support the resilience of future coral reefs. The CORALASSIST Lab (UK) is testing assisted evolution in Palau: selective breeding […]

Mountainous environments present a variety of risks to human populations in the surrounding communities. Landslides in mountainous regions are a particularly deadly form of natural hazard due to their unpredictability and potential scale, resulting in thousands of deaths every year. Due to current climate warming as a result of human actions, the risk of these […]

The project includes three subprojects that are all of interest to Nokia to inform them of latest research in the area. The first subproject is to improve the features of the Ztitch mobile application that we developed, which has been downloaded more than 80,000 times. We will implement some algorithms to improve the stitching performance, […]

Improving air quality while supporting clean growth and future transportation technology represents a significant societal challenge for Canada and the UK. Emissions of unburnt hydrocarbon (uHC) fuel directly affects public health, and their reduction from vehicles such as hybrid cars require new solutions. Recent research conducted by Professor Cyril Crua’s team at the University of […]

To avoid dangerous climate change, large quantities of carbon dioxide must be removed from the atmosphere. Forest growth is one of the most efficient strategies for achieving this, with tropical secondary forest key to recovering carbon stocks. The carbon benefit of secondary forest, which grows on cleared land following abandonment, is determined not only by […]

Fisheries are the main global threat to elasmobranchs (sharks and rays). Elasmobranchs commonly display conservative life history traits (slow growth, long life, late sexual maturity and low fecundity), making them extremely vulnerable to non-natural mortalities. However, there is significant variation, with some species exhibiting life history traits more resilient to exploitation. In order to assess […]

The proposed research will explore how Canadian women’s interactions with health and fitness content on Instagram impacts upon physical activity participation. This research is sorely needed because, while social media is increasingly pertinent to the formation of everyday health practices, this dimension is seldom explored. In addition, this project will pilot a novel method, developed […]

We propose to perform detailed studies that characterize chemically and biologically and the unaltered ancestral plant species of the Cannabis genus. Chemically, these studies will provide the chemotype profiles for each parental species for a spectrum of non-tetrahydrocannabinoid compounds. Biologically, these studies will provide the pharmacological profiles for each parental species. These data will enable […]

Vent & Cover wants to develop in conjunction with UBC and UWO, an enclosure that can slip over electric baseboard heaters and create a safe-to-touch exterior while still allowing the heater to heat the room safely and effectively. The project will have 2 major components, the first of which is to develop an efficient thermal […]

This project investigates automobile purchasing behavior of female millennials. In order to achieve the goal of understanding and making use of purchasing behavior, data are to be collected, managed, and analyzed. In addition to using existing data and third-party data, two major tasks of data collection are the use of questionnaire and web crawling to […]

The first MITACS internship for this project focused on design of the “Be Kalm” Anxiety App. The second internship will focus on the programming, implementation, and evaluation of the resulting design. The App will combine several interactive methods of diffusing anxiety with the use of images, music and heart rate monitoring. The HeartBeats music player […]

Machine Learning is advancing at an astounding rate. It is powered by complex models such as deep neural networks (DNNs). These models have a wide range of real-world applications, in fields like Computer Vision, Natural Language Processing, Information Retrieval and others. But Machine Learning is not without some serious limitations and drawbacks. The most serious […]