Data Analytics for Social Network Marketing

Influencer marketing is a new and innovative way for brands to target their customers on social media in a highly accurate and trusted way. Brand partners work with hundreds of influencers over a period of time, which is called a campaign, to create marketing material. This marketing material is shared by both the brand and […]

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Modelling partial mortality wildfire dynamics in boreal and mountain landscapes

An emerging strategy for managing natural resources such as Canada’s forests more sustainably and responsibly is to use knowledge of how Mother Nature has done it to help guide our hand. This so-called ‘ecosystem-based” approach has gained favour with provincial and federal governments, as well as national and international certification agencies. One of the foundations […]

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A new approach to assessing the potential for rockfall and landslide hazards

Rockfalls and landslides are a common hazard throughout Canada and have a significant impact on transport corridors, infrastructure associated with natural resources, and in public areas. The ability to determine the potential for slope failures is often limited either by the lack of a detailed assessment of the slope, or by the understanding of the […]

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High-Fidelity Data Converters for Medical Diagnostics

Diagnostic medical devices work by translating our vital signs, such as neuron electrical activity and brain waves, into digital data that can be manipulated by a computer. High-speed computer processing improves diagnoses by presenting the physician with a numeric or graphical readout of important features extracted from the signal. Often, the ability of computer programs […]

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VAL-083 combination therapies in chemo-resistant pediatric CNS cancers

More children die from brain cancer than from any other disease in the western world. Many anti-cancer drugs are unable to cross the blood-brain barrier to reach the tumor and certain genetic mutations in the tumor cells increase resistance to chemotherapeutics. The novel chemotherapeutic drug VAL-083 readily crosses the blood-brain barrier and accumulates in brain […]

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Faecal sludge desiccation rates for optimal design of passive ventilation sanitation systems

VIP latrines and the Aerosan emergency toilet demonstrate tremendous potential for achieving in situ faecal sludge treatment objectives in volume reduction, odour control, etc. In order to determine the potential to scale, lab-based studies and field validation are required to optimize the design. This project seeks to optimize faecal sludge desiccation by simple enhanced passive […]

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Sparse Multivariate Polynomial Factorization

Factoring large polynomials is one of the main tools provided by mathematical software packages like Maple. It is used by scientists, engineers and mathematicians directly to simplify and study large formulas. It is also used inside Maple to do other tasks such as solving systems of polynomial equations. This project proposes to dramatically improve the […]

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Application of deep learning in perception and navigation of mobile robotics

Mobile robotics are playing an increasing important role in many areas such as delivery, house cleaning, homecare, etc. How to increase the capability of robotics in perception and navigation is an on-going problem for decades. Due to the dynamic and uncertain chrematistics of the environment, it is still challenging for real application. In recent years, […]

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Embedding Project

The Embedding Project is a public-benefit research project that relies on strong social science research methods to bring together thoughtful sustainability intrapreneurs from across industries and around the world, and harnesses their collective knowledge to develop rigorous and practical guidance that benefits everyone. This internship will offer an MBA student the opportunity to gain experience […]

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Advanced Analysis Setup of Next Generation XRT Algorithms

The research project will include a study using dual energy X-ray transmission (DE-XRT) technology to investigate how to improve the current DE-XRT analysis. To conduct the research, large amounts of samples will be taken from different types of deposits and operations. The research will evaluate various data mining methods to generate algorithms using the data […]

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