Web Tools for Intelligent Real-Time Data Analy-sis

Data analysis plays an important role in healthcare as it enables service providers to discover hidden knowledge in the data, allowing them make more informed decisions about patients’ health. The continuing increase in the amount of data and lack of skilled people, however, has made data analysis very challenging. This project aims at developing web-based […]

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Collaborative Robot for Vertebral Fusion with a Quality of Fusion Estimation Model

Spinal fixation, the process by which a broken spine is mended, or a deformed spine corrected, can involve the placement of tens of pedicle screws during lengthy surgical operations. With an ageing population the overall demand for these procedures is increasing. Surgeon fatigue is an issue in these procedures and has demonstrated decreased performance. Our […]

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An Investigation of Potential Market Entry for Novel Medical Devices in a Pandemic Environment

Currently, it is difficult to obtain market share in the medical device market. Furthermore, a lack of resources by small companies with disruptive technologies can prove to be detrimental to establishing market share. This huge hurdle thus discourages innovators from commercializing their life-saving technologies especially in a pandemic situation. This project will focus on the […]

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Beehive strength modelling using multiclass supervised machine learning

A third of the food that we grow depends on honeybee pollination. Nectar’s mission is to help the beekeeping industry ensure honeybee health to secure our food supply. By leveraging sensor data with labelled data on numerous aspects of beehive conditions, this project aims to develop multiclass classification of key phenomena to improve beehive health […]

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Deep Language models for Visual analytics of diversity and inclusion

The project will build an Artificial Intelligence-powered Bias Detection tool to identify bias and discrimination faced by employees of a company. The tool will take in free-text content from employee surveys, internal reviews and social media, and produce a score indicating whether the author of the content is likely facing or exhibiting bias. Algorithms will […]

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Development of a New Family of Agri-based Flocculent for Optimized Water & Nutrient Recovery from Anaerobic Digestate

Anaerobic Digesters are used in farm-based, municipal and industrial settings to convert wastes (manure and crop residues) as well as other feedstock material (fat, grease, oil and food wastes) to biogas. Produced digestate is rich in nutrients such as phosphate, nitrogen, (and other minor nutrients) and is mixed with water that makes the transportation costly […]

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Evaluating the Effectiveness of Protected Areas in Canada

Global biodiversity is declining due to habitat loss and protected areas provide an opportunity to prevent this. While governments create and manage most protected areas in the world, non-governmental organizations can also play a significant role in the acquisition and management of properties for the purpose of conserving biodiversity. We propose to measure the Nature […]

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Research and Data Analysis of Aycoutay Wellness Device user scans

The Aycoutay Health Screening Device is based on well-established EEG technology. It is a modern, computerized EDA based health monitoring/screening device that performs a comprehensive analysis of the bio-electrical activity of each organ and gland, as well as the critical interrelationship between them, using algorithms that translate this electrical data into diagnostic information. It is […]

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Induction Heating Supply

Electrical heating of oil sands allows for production in situ in a mode similar to conventional liquid oil production. This avoids disturbing and redistributing the overburden and production sands. A further advantage of electrical heating is that the power consumption can be matched to the availability of sources such as wind power.

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