Model-driven application/ sensor testing

While Android is a very popular platform and represents the fastest growing segment in the smartphone and tablet space, we see all kinds of different android platforms emerging. Thus, we not only have the problem of having different android operating systems, we also have the problem that vendors are able to customize the android operating […]

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Computer Vision for Crop Weed Identification

Aid in the development of a Machine Learning Model for utilization by an Agricultural Robot. This Robot performs several tasks, primarily the mechanical removal of weeds from vegetable farms. Therefore, the machine learning model is concerned with informing the robot of locations of interest points of the weed and crop plants, as viewed from several […]

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Investigating Machine-Learning-Based Mocap Data Augmentation for Live Performance

This project is a collaboration between researchers from the Simon Fraser University and industry partners, Lifelike & Believable Animation Design and Animatrik Film Design. Its goal is to research and develop machine learning techniques for capturing and analyzing movement data in real-time to support the world’s first immersive in-game 3D simulcast of a live, real-time […]

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Integrity and Analytics of Energy Market Data

ReWatt Power facilitates transactions of green energy derivatives/green attributes such as Alberta Carbon Offsets. The company uses a blockchain technology to manage all transactions on their platform. This way, all parties have access to the transaction history in a database they own, and the transactions are immutable. The first objective of this project is to […]

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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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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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Analyse adaptative de flux de trafic réseau pour la cybersécurité

Malgré les efforts consacrés à la détection des problèmes de sécurité dans les systèmes informatiques, de nombreux défauts s’échappent sur le terrain, provoquant de graves défaillances et d’énormes pertes financières. Pour identifier la nature des problèmes, les développeurs de logiciels s’appuient fortement sur l’analyse des journaux (logs), générés lors des exécutions du système. Les logs […]

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Diagnostics and Explainable Machine Learning Models

Despite the advances of Machine Learning, the models are still being considered black-boxes that are difficult to diagnose and explain. The model performance diagnostic measures are critical to the assessment of the model’s relevance, accuracy and robustness. Good models’ performance is the primary enabler of their successful deployment in real-life applications. However, even if the […]

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Shipping Container Code Classification and Prediction

BlueNode is a SaaS company focused on the sanitation and analysis of marine shipping data. The research project is focused on increasing the precision and accuracy of shipped goods processed through Canadian ports. Should the research prove to be successful, the technical methods used will be directly incorporated into the BlueNode system.

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A hybrid two-way recommender system for candidate and job search

The recruitment industry faces information overload when matching qualified individuals with competitive jobs. A recommender system can effectively solve this problem by filtering relevant content in order to make recommendations, in this case matching candidates with jobs. The objective of this project is to develop such a system for two-way search and ranking of candidates […]

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A Data-Driven Approach to Formulating Best Practices for Mobile Games

The goal of the research project is to improve overall user experience in mobile games by formulating a set of user experience best practices, or heuristics, that is specific to mobile games. While research has been done in the past on heuristic evaluation in games, there has been little specifically focused on mobile games. Design […]

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