An IoT Hot Cold Sensation Device

This project is to research and develop a portable hot-cold sensation diagnostic device which will be used to test and record the degree of hot and cold sensation on patient’s limbs. Traditional method uses test tubes filled with warm water or cracked ice and water for testing. Temperature less than 5oC and greater than 45oC […]

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Risk classification over time for individuals who have diabetes

This project/research is based on creating AI models that assist in determining blood glucose levels in individuals that have been diagnosed with Diabetes and classify changes in their risk-levels over a period of time. This research will be carried out by Ian Ho, student at Queen’s University pursuing his Bachelor’s in Applied Science – BASc, […]

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Simulating dynamics of flux qubits with charge and hybrid flux noise

D-Wave Systems has designed processors based on a scalable architecture that aim to implement quantum annealing, an algorithm that can be used to solve a wide variety of optimization problems. A minimal requirement for a device to perform quantum annealing is that it maintains coherence throughout an appreciable fraction of the annealing protocol. In reality, […]

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Reliability Improvement of Gallium Nitride (GaN) Devices

Gallium Nitride (GaN) semiconductors are more and more being used in switching power devices and the GaN transistors are the promising candidate of next-generation power devices that can substitute Silicon (Si) devices. However, this young technology suffers from reliability difficulties. The aim of this research work is to contribute to the understanding of the properties […]

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Business Analyst

INEO is a technology company that has developed patented technology to give the the retailers cutting-edge loss prevention solutions combined with digital signage and data analytics. My role will be to build out the data analytics aspect by identifying the data strategies which are likely to lead to success, developing a plan to implement them […]

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Development of a breeding database for the application of omics technologies in canola variety development

Next generation plant breeding requires bringing together many different types and sources of information about different plant varieties, including their genetic information together with how well they grow in different environments. The best ways to organize and integrate these sources of information within a plant breeding program is not well known. In this project, we […]

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Stronger Together: Social Infrastructure for Community Health

The proposed research program aims to better enable the provision of digitally based self-management support programs for Canadians who live with chronic conditions that were further complicated by COVID-19. In order to accomplish this objective, this study will evaluate existing self-management programs for adults with chronic conditions and curate condition specific evidence-based content that will […]

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Dynamic Deep Generative Graph Models for Financial Forecasting

Borealis AI has access to a huge amount of financial data related to the stock market and is interested in leveraging recent developments in machine learning to better understand this data. Some potential questions emerging from this data are: (1) Given the closing price of a stock in the recent months, can we predict the […]

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Automating Asset Management Solution for Electric Utilities’ Industrial Control Systems: An Integrated Approach

Increasing visibility into asset inventory and gaining situational awareness in industrial control system (ICS) environment are of critical importance for electric utilities to effectively manage cybersecurity risks. In this project, we aim to investigate the solution design for electric utilities to automate asset management in an ICS, addressing the unique challenges such as device heterogeneity […]

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Evaluating Haptic Feedback for Vehicle Safety in Field Robotics

This project aims to evaluate a novel device of my own design and making which is able to communicate information about a remote robot’s state to a human operator via vibrating feedback. For example, hazards such as loose terrain or a steep incline may not be well reported to the operator via a camera feed. […]

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Data analysis and image processing for livestock identification

OneCup provides cattle management solutions to the livestock industry. Our AI is called BETSY – Bovine Expert Tracking and Surveillance. Using artificial intelligence, we put a rancher’s skillset into a device the size of a small book. With several types of cameras, BETSY can ID and track cattle activity 24×7. For example, she can track […]

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