Innovative Investment Education

Innovative Investment Education Investing has never been easier, but the retail investment journey is broken. This is even more difficult to answer because investors are overwhelmed with information, don’t trust most online sources, and it feels like it is a solo endeavor. An intuitive platform that supports retail investors through their entire investment journey, from […]

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Stock Investment Model

Investing has never been easier, but the majority of individuals still are reluctant to invest and those that do still face a fundamental problem. “What should I invest in?” It’s because the investment journey for a retail investor is broken and Utradea is proven to solve it. For an average investor, prior to making an […]

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Investigating the characteristics of reinforced compressed earth block

Around half of the world’s population are living in some form of earthen building. Compressed earth blocks are widely known as a low-cost material that has high thermal capacity, low environmental impact, and ease of construction. The project will address three items: material characterization, development length of steel reinforcing bars and performance under freeze-thaw cycles. […]

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Efficient Learning-based Parameter Configuration of Cellular Networks

Network parameter configuration is crucial for optimizing performance in a cellular network. Often, such parameters are too numerous and their interdependence too complicated for them to be efficiently configured by human experts. Therefore, it is of great interest to study network parameter configuration as a machine learning problem. We aim to expand on the machine […]

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High Performing Canadian SaaS Company Metric Performance – What Great Looks Like

In this project, SaaSCan will leverage and expand its market research data on Canadian SaaS startup metric performance to create an innovative, online-self assessment tool. Unlike some other tools that require founders to upload detailed financial data or complete complex financial spreadsheets, the SaaSCan “Metrics Sherpa” tool will enable founders to type in data points […]

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Volatility Modeling

Volatility is an important variable for liquidity management. It is used to time the submission of buy and sell orders and their aggression levels in stock markets, bond markets, and derivatives markets. Volatility is also an important variable in the pricing of derivatives. Market participants will use volatility estimates to improve the quality of their […]

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Machine learning approach to monitoring and decarbonizing mineral processes

In Canada’s 2030 Agenda for Sustainable Development, one of the goals is to take urgent action to combat climate change and its impacts. According to this agenda, the target is to reduce Canada’s total greenhouse gas (GHG) emissions by 30%. In order to transition to renewable energy, solar and wind power in combination with energy […]

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Autonomous Metro Rail Sensor Data Analytics for Anomaly Detection and Correlation Analysis with Environmental Variables

Anomaly Detection (AD) is a key research problem in the fast-evolving area of Intelligent Transportation Systems. To proactively detect faults, AD methods are applied to detect deviation from regular behavior, which can also be caused by environmental factors such as weather conditions, neighbouring trains, and track curvature. Thales Canada has unlabeled data from their Next-Generation […]

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Automating various land resources development and planning services using MapAki platform offered by CES

Services provided by CES move the traditional paradigm away from static paper maps and data management. Instead, they offer MapAki to create and deliver unique interactive web maps. This research project will attempt to associate multi-layered artificial intelligence empowered services to redesign and rebrand MapAki. Firstly, this project will use up-to-date visuals collected from the […]

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Marketing an Intelligent Digital Clearing House

Optima Analytics Inc. is a Canadian small business with the goal of empowering its clients with tailored AI and analytical solutions. As a response to COVID-19 and similar emergencies, Optima Analytics team work on a research and technology development project in the form of an Emergency Response Bank Platform (ERBP). That project builds a system […]

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Development, Design, and Implementation of Low Carbon Concrete Structures

The production of cement contributes to 8% of global CO2 emissions resulting in a pressing need to develop strategies for reducing the use of cement. This research project focuses on reducing cement use by improving structural efficiency. In order to fully understand the behaviour of these efficient structural elements and ensure that they will provide […]

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Impact of the addition of a newly developed bio-resin called Biofusion on the strength of concrete

Concrete—the most common construction material in the world—represents the main component of construction. Aggregate materials normally occupy about 70% of the concrete volume and their production results in excessive emission of carbon dioxide. One potential solution to reduce the carbon dioxide emissions from the construction industry is to use the newly developed bio-resin Biofusion in […]

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