Developing a Farm Management System: Migrating from iOS to Android platform

The project conducts a research to explore and investigate ways in developing a farm management tool that will assist farmers to have instant and secure access to information, and have the ability to update those information. Information updated on a device outside the coverage of wireless connection will be updated and synchronized when the device […]

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Monitoring Stress Changes and Microseismic Events in Pillars During Potash Mining

Mining-induced stress in the area around tunnel openings represents a major design consideration in potash mines. In the past, induced stress has been monitored using an array of techniques derived from the hard rock mining industry, one of the key assumptions being linear-elastic deformation behaviour of the rock. When using these methods in a soft […]

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Imaging grain quality with AI

In order to define the quality of grain, Canada uses grain grades. Samples are taken to identify characteristics such as damage caused by insects, moisture, or temperature. Grain sampling is time-consuming and costly because it requires a person to take samples from grain flowing from an auger or combine at regular time intervals and deliver […]

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Developing Crop Consulting App

This project is to build a mobile application that will allow partner’s clients to use it on their mobile device to access their farm data and receive ongoing recommendations from consultants. The project will benefit the partner organization by improving the communication between consultants and their client farmers. Currently, consultants print out their recommendations for […]

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Cyclic CO2-Based Solvent Injection in Post-CHOPS Reservoirs with Complex Wormhole Systems; From Reservoir-On-The-Chip to Field Scale Optimization: An Attempt Towards the Net-Zero Approach

The primary objective of this project is to provide Canadian petroleum companies with a set of reliable data derived from experiments conducted on reservoir-on-the-chip platforms that facilitate the visualization of pore-scale interactions between solvent and heavy oil during the CO2-based CSI process in the presence of complex wormhole systems in post-CHOPS reservoirs. The reservoir-on-the-chip is […]

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Automated Assembly of Metal Frames for Home Construction using Mobile Manipulators

Using metal frames for constructing residential buildings is gaining attention in North America. They would be advantageous over wood frames because: (1) metal has a higher strength-to-weight ratio, therefore, less framing would be required, (2) metal frames are lighter in weight than wood, so easier to carry them on site, and (3) they offer better […]

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Using knowledge graphs and AI to recognize similarities between politicians

IOTO International Inc’s work is recognized as innovative by some of the largest media organizations in Canada. Their Goverlytics software applies Machine Learning to political data. They intend to extend their software to provide statistical measurements of political discourse similar to performance statistics available in other domains like sports. IOTO is in the process of […]

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Nanogram Pharmaceutical Compounding Ltd. Custom Online Platform v2

The intern will be tasked with creating a unique online platform for healthcare providers and veterinarians to be validated, and able to order custom medications. This type of platform does not exist yet. It will involve a thorough embedded validation process, user management, an advanced search and filter function, embedded educational/regulatory/product information, a complex pricing […]

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Patient decision aid for musculoskeletal injuries in Mild Hemophilia

Hemophilia is a genetic bleeding disorder in which the blood flow is impaired from clotting. If you have hemophilia, you may bleed for a longer time than others after an injury. The primary goal of our work is to enable patients with the condition to make effective decisions when injuries occur. For instance, our proposed […]

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Machine Learning on Large Data Streams for CLS Operations

The CLS control system for the particle accelerator and beamlines, which are larger than the size of a football field, generates over 600,000 digital data streams to monitor and control the facility 24/7. The task of monitoring and reacting to these data streams is largely up to the Operators and other Egineers, Physicists and Scientists […]

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Optimisation of an radiofrequency electron source input coupler

The CLS uses a high energy electron accelerator to produce synchrotron light for user experiments. This project is to design and construct a part for a new radiofrequency electron source that is being installed at the CLS in a new electron source lab. The part needs to be designed to produce very high gradient electric […]

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