Stochastic Electrodynamics Simulations using the Xanadu Quantum Cloud

The proposed project investigates an approach to solve difficult physics problems, which are too computationally intensive for standard computers, using Xanadu’s near-term quantum computers. The goal of the project is to create a simulation tool that harnesses the exponential increase in efficiency offered by quantum computers to simulate the movement of particles and the subsequent emitted radiation at the nanometer scale. These simulations could have practical implications for experiments involving optical and laser physics and could lead to further insights concerning atomic behaviour.

Performance Based Design of Viscoelastic Coupling Dampers in Mass Timber Buildings

Viscoelastic Coupling Dampers (VCDs) have been developed over the past 15 years at the University of Toronto and by Kinetica for use in multi-storey buildings constructed with conventional construction techniques (steel and concrete). It has been shown the VCDs improve the wind and seismic performance of these buildings, leading to safer, higher performing and more resilient structures.
There has been a boom of mass timber construction due to the inherent sustainability, modularity and speed of construction using mass timber.

Atlantic Canadian Beef Success and Opportunities

The purpose of this project to empower Atlantic Canadian Beef Producers to understand the unique success factors for beef production in the region and identify opportunities to improve their cost of production while mitigating environmental impacts based on the on-going work of the Beef Cattle Research Centre on the Canadian Cow-Calf Cost of Production (CDN COP Network). The project will implement by reviewing 12 Maritime focus group sessions, conducting interviews, synthesis of international competitors, and Atlantic Canada’s position.

Artificial generation of optimum whitewater waves in rivers for kayaking

Recreational river waves are gaining more and more popularity, but there is not enough academic research to support them and very few companies around the world can artificially create them using adjustable structures in rivers. Surf Anywhere, the Calgary-based partner organization in this research, is one of those few companies that has completed and is working on many wave projects in Canada, USA and Europe.

Evaluation of geomorphic assessment methods and geomorphic performance of river restoration designs in mountain streams in British Columbia

River restoration in the steep mountain streams of British Columbia focuses on enhancing conditions for fish habitat, including salmon spawning habitat. These restoration projects are designed using 2D hydraulic models, but their performance during large flood events is relatively unknown. This project will use a set of laboratory experiments to assess the performance of common designs under large flood events. A scaled model of a restoration design will be built, and the sediment transport and topographic change of the channel during simulated floods will be measured.

AI Enabled Subnetwork Selection

Cancers are heterogeneous disease that hijack many of the body’s normal biological processes. Additionally, tens of thousands of genes are involved in each person’s normal biology, while only a fraction of those are repurposed by cancers to drive disease. At an individual level, utilizing entire transcriptomes is rare, as there is too much information for clinicians to process. However, not using this resource can mean important genes and processes are missed. Identifying the set of genes that drive a patient’s cancer would improve therapy design, patient quality of life and outcomes.

Structural Integrity Assessments for Strain-Based Design of Pipelines

Structural integrity assessments play a key role in ensuring the safe service of oil/gas pipelines. In recent years, significant developments in pipeline strain-based design have taken place to account for the large plasticity involved in the installation and operation of pipelines. However, current methodologies cannot properly address the effects of anisotropic material properties and weldments on the behaviours of defects in pipelines. It is proposed here to develop fracture mechanics methodologies that quantify these effects. Both global and local approaches will be used in the study.

Single-molecule analytics of RNA/DNA drug constructs interacting with RNA targets and with lipid nanoparticle delivery vehicles

In this project, the interns will develop a new set of tools and techniques to provide new scientific insights into the detailed interactions that occur between drug and target molecules in the human body. Understanding of these interactions is critical to design better, more effective, and more precisely targeted drugs. The problem is that current techniques for investigating molecular interactions make “ensemble measurements” over huge numbers of drug and target molecules and give researchers only an “average” measurement of the interactions.

Developing and validating population models to estimate wildlife densities and inform land-use management in industrializing boreal landscapes

Monitoring of population density is crucial for conserving wildlife species and determining responses to management efforts. However, estimating density is particularly difficult when individuals are not distinguishable from each other. There is pressing need to validate the robustness of recently developed models that estimate density from such ‘unmarked’ populations before widespread application to real-world data, especially for species under management or at risk.

Diagnostic Software for Mapping Blood-Brain Barrier Pathology

When blood-vessels in the brain are damaged, substances can leak from the blood into the brain. This leakage can affect cognition and mental health, however there are currently no clinically-available tests for detecting such leakage.
In this project we are continuing the development of a method for diagnosing subtle leakages in the brain’s blood vessels using MRI. We have recently demonstrated that this technology may help explain why patients diagnosed with the same disease often have very different severities of outcome.

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