Next Generation candidate screening and assessment platform featuring psychological profiling though gamification

This project is the first step to providing Thinking North’s Purple Squirrel recruitment platform to go beyond traditional matching with a novel, data-backed holistic candidate matching process. To provide a robust system, Thinking North is collaborating with Seneca’s School of Software Design and Data Science to use advanced artificial intelligence and gamification techniques to combine […]

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Identification of high-frequency periodic acoustic fish tags with deep learning

Innovasea produces fish tags and receivers to track the presence and motion of fish and marine mammals while underwater. Fish tracking (acoustic telemetry) is used by researchers worldwide to determine the abundance and habits of marine life, make decisions about fishing seasons and allowed catches, and help protect marine mammals. Innovasea has developed a novel […]

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Intelligence Artificielle et Apprentissage Machine pour la Cybersécurité

Ce projet consiste à extraire la nature des accès informatiques des employés d’une organisation et les consolider afin de permettre au gestionnaire de l’employer ou à un auditeur d’avoir une vue d’ensemble des accès informatiques de ses employés. Les employés qui arrivent ou quittent l’organisation, ou changent d’emploi dans la même organisation exigent une révision […]

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Multilingual Semantic Similarity of Unstructured Enterprise Content

To communicate with their end users, businesses regularly produce written documents such as letters, notices, statements, etc. in various languages. A set of rules are usually used to ensure that information in these documents is ‘correct’ and consistent across languages and communication channels. However, with the increasing volume and variety of information being sent out […]

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Metaheuristic Approaches to Feature Engineering and Model Architecture Optimization for Financial Time Series Prediction

Predictive modeling of financial data, especially trading activity or asset prices, is a very challenging task. There are a number of novel approaches to feature engineering, data preparation and model architectures that aim to mitigate some of the problems that arise from non-stationarity and other issues typically found in financial time series data. This project […]

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Multilingual Semantic Search Engine using Multilingual Semantic Similarity

Multiple situations require cross-lingual searching: lawyers reviewing litigation documents; intelligence analysts data mining open source data; and patent attorneys investigating technical documents. To imitate cross-lingual search, people use online translation platforms to find the equivalent terms laboriously and then re-execute the query multiple times in various languages. The commercial search industry hasn’t seen much demand […]

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Measuring firm sustainability using textual data

Finance has experienced a significant increase in studies tackling issues related to Sustainability in recent years. The majority of them rely on third-party ESG ratings which are diverse, not transparent, and lack standardization. Our project aims to use text-mining techniques to identify ESG dimensions in sustainability-related documents and offer an automatic measurement across the ESG […]

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The Development Of A Large-Scale Multidimensional WebApplication To Support Data Visualization, Mining & Analysis

For this project, we will develop the statistical theory to support, as well as a full functioning prototype for, a large-scale multidimensional data visualization application. This application, which will be fully scalable, will include an interactive user dashboard with customizable widgets. By taking a methodological approach to this type of research , along with an […]

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Development and Testing of an Augmented Reality First Aid Training Program

The objective of this project is to develop and test a first aid training program using Augmented Reality (AR), a technology that superimposes computer-generated animations on a user’s view of the real world, in the context of lifesaving education. Education is an industry that is currently being transformed using the latest technologies. In the advancing […]

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Optimizing Machine Learning to Increase Relevance in Photo Selection for Private School-Based Social Media

Machine learning, specifically deep learning, for face recognition applications has advanced significantly over the past 20 years [ref: science direct survey on deep based facial recognition]. There are many deep learning concepts pertinent to face image analysis and facial recognition, and there is active research in outstanding problems ranging from effective algorithms to handle variations […]

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Resili, a case study: An evaluation for improved user experience in DBT skills apps

This project seeks to build the body of academic understanding on how to effectively deliver a mental health skills-based intervention through a mobile app. The analysis will be done through retrospective and live analysis of the Resili app, a publicly available mHealth app which promotes strong mental health through the administration of a Dialectical Behaviour […]

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