Advanced Applied Probabilistic Programming

Autonomous cars are one example of a compelling next-generation artificial intelligence technology. In order to safely navigate through the world, cars must plan long-range routes and short-range paths, perceive the world around them, and act according to a safety-first policy that takes into account the intent of agents in their surrounding world. While not strictly […]

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Detection and Prediction of Network Vulnerabilities with Machine Learning Models and Algorithms

The project investigates the development of artificial intelligence models and algorithms to analyze telecommunication networks, looking for signs that indicate the presence, or imminent arrival, of faults and outages on the network. The project will use as its main input data (network topology and network health metrics) collected by EXFO in real-time and accumulated over […]

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Development of safe storage guidelines for Canadian Flax

Shelf-life and quality of agricultural commodities is directly affected by their storage conditions. Therefore, producers and managers of grains and oilseeds relay on safe storage guidelines of the stored commodity to preserve the quality of these products. These guidelines are developed for specific commodities and are made available by producer groups and technical organizations to […]

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Improving the Reliability of AI Systems from a Software Engineering Perspective

Artificial Intelligence techniques have been widely applied to solve real-world challenges, from autonomous driving cars, to detecting diseases. With the popularity of 5G wireless network, more and more AI systems are being developed to provide convenient services to everyone. It is important to ensure the reliability and quality of AI systems from every phase in […]

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Translational Oncology Research Data Analysis and Quality Assurance

The proposed project seeks to better understand and study the effective application of data processing tools and quality assurance systems in clinical research. Data from clinical trials is crucial in the pharmaceutical industry because it provides indicators of safety and efficacy of drug treatments for patients. However, processing and reporting on the large amounts of […]

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Network security and machine learning development projects

The main objectives of this one-year study are to enhance systems in data management and integration in three ways: 1) create secure networks that can support BYOD; 2) create a data pipeline system for ETL; and 3) integrate ML content generation into a content management system. An Agile methodology will be used to plan and […]

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Developing a mobile screening tool that could predict impairment by leveraging the power of machine learning models

There is a growing need for law enforcement agencies and safety sensitive workplace environments to be able to evaluate impairment. Impairment due to mental cognitive deficits, drugs or alcohol use, prescription medications, or fatigue could all limit a person’s ability to perform a hazardous task safely. Current testing tools utilize saliva, breath, blood or urine […]

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Acoustic Emission Testing of Fibers Exposed to Different Environmental Conditions

This research project investigates methods for detecting damage and breakage in fibers used in fiber-reinforced polymer composite pressure piping. Of primary interest is Acoustic Emission (AE) technology to isolate and identify damage types and corresponding AE features for fiber reinforcement rupturing when exposed service loads and different environmental conditions. Sound signals produced by fiber rupture […]

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Production Planning and Optimization in Eden Valley Poultry

Eden Valley Poultry (EVP) is one of the main suppliers of chicken products in Atlantic Canada with 10.3M broilers and turkeys processed in 2018. Currently, the EVP planner manually manages various factors that contribute to the selection of barns for broiler pick up to be processed every day. This research proposal aims to improve the […]

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