Decision making with rich ontologies for minerals exploration

Resource extraction, including mineral exploration and mining, is an important part of Canada’s economy. There is currently a great interest in finding the minerals that are needed for batteries; arguably the lack of minerals is the biggest impediment to cutting the price of electric vehicles and weaning society off fossil fuels. Artificial intelligence has great […]

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Mobile Application Support for an Outdoor Agriculture Expo’s Temporary Cluster Functions

The Agriculture and Agri-Food System of Canada (AAFS) is an important component of the Canadian economy. Outdoor agricultural shows have moved from their simple marketplace roots to places that facilitate increased productivity, accelerated innovation and business formation. Central to these functions is the geographic concentration of stakeholders. With the growth in show size, supporting effective […]

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Mobile Application Support for an Outdoor Agriculture Expo’s Temporary Cluster Functions

The Agriculture and Agri-Food System of Canada (AAFS) is an important component of the Canadian economy. Outdoor agricultural shows have moved from their simple marketplace roots to places that facilitate increased productivity, accelerated innovation and business formation. Central to these functions is the geographic concentration of stakeholders. With the growth in show size, supporting effective […]

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Anomaly Detection in transactions volumes

The objective of the project is to investigate how machine learning techniques can be used to detect anomalies in volumes of transactions. This requires the student to conduct a literature review about the topic as well as experimenting with a subset of selected machine learning techniques. The results from the research could help the partner […]

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A reinforcement learning approach to establishing a Q&A symptom checker to evolve the performance of the visual diagnosis system for dermatological diseases

The partner is creating artificial intelligence which can help diagnose over 1,300 skin conditions with dermatologist-level accuracy. They are focused on building the functionality that is to be deployed through their app and web-interface that makes it possible to snap a photo, ask questions, and get an instant diagnosis. The partner is very focused on […]

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Accurate identification of Points of Interest visits for refined trade area analysis and audience segmentation

Pelmorex (owner of the brands The Weather Network and MeteoMedia) operates weather information services accessed by all Canadians on desktop computers, mobile apps and television. The mobile app is one of the most downloaded and used apps in the country, within both the Apple/Google ecosystems of smart phones/tablets. Continuous and accurate location data is collected […]

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Automating Analysis of Privacy Requirements

Against a backdrop of alarming privacy breaches at social media, banking, and government websites, the European Union will see the General Data Protection Regulation (GDPR) come into force as of May 25 2018. GDPR will drastically increase fines for data loss and breach, introduces new requirements to obtain individual consent for data use, and defines […]

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Robust WiFi-based Indoor Presence Detection and Localization

In this project, we are interested in device-free methods that passively sense, monitor, and track people’s indoor presence, location, and movement using off-the-shelf Wi-Fi-enabled devices. We use information extracted from the physical layer of wireless links to detect and interpret human presence, location, and physical activities. The current design and implementation of Wi-Fi-based systems exhibit […]

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Lessons Learned and Decision-Making Tool for Engineering Projects

According to the World Petroleum Council (WPC), the average age of employees in Oil and Gas companies is 50 years, and it is estimated that in the next 5 years 40-60% of them will retire. The consequence is an age-related crisis in the sector given that, in many cases, the knowledge accumulated goes with the […]

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3D Perception and Prediction for Autonomous Driving

For an Autonomous Vehicle (AV) to make decisions and drive independently on urban streets, the problem at hand can be broken down into many phases, two of which are perception and prediction. Perception refers to the process of extracting valuable information from the environment using data collected by sensors such as LIDAR and camera. This […]

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Hyperstate: Communication between organizations In the Music Business

The current project intends to create a software platform solution that solves the communication between organizations in the Music Industry. Overall, the platform uses third party systems to achieve the requirements of the problem statement. Moreover, the platform is built over abstraction levels to integrate different components. The research of the integration of these parties […]

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Recommendation engine for intelligent recruiting and expertise matching using social media-like deep collaborative filtering

In today’s candidate-driven market, talent recruitment represents a major challenge for many companies. Younger millennials have different expectations of their work environment than previous generations. They are heavy users of technology in almost all their activities, including job search. They are also used to multiple social medias and expect faster feedback.  In this changing environment, […]

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