Financial institutions gather vast amounts of data from our transactions. However, using this data directly can risk our privacy. A potential solution is generating “synthetic data”, which contains real data information without copying the original data. Generating this data, especially for bank transaction sequences, is challenging. During our research internship, we will use recent developments […]

This research project aims to investigate the role of social media in information warfare, focusing on Russian propaganda campaigns related to the war in Ukraine. By collecting and analyzing tweets, the project will identify narratives and strategies used in these campaigns. The data will be classified and employed to train a machine learning model capable […]

This project will develop computer-based decision support tools for portfolio constructions for retail investors. The tools will enable investors to access powerful quantitative frameworks for structuring investment portfolios as well as analysing existing portfolios in terms of risk and return. Typically, these tools have been only accessible to institutional investors or large financial institutions but […]

Intent classification is a highly popular task within research communities and industries. Having a system that can classify intents of emails or messages from users can lead to a wide range of applications such as ticket routing and issue resolution. However, training such models require a large set of labeled data that might not be […]

Detecting financial fraud is complex. One important source of information is textual data, such as the text within reports, descriptions, or comments. Two different words may have similar meanings but vary differently in their characters and length. In this project, we evaluate how the meaning of a word may be used to improve financial fraud […]

Building envelopes are essential for structural integrity, moisture control, and air management in a building. Damage to a building envelope could result in safety concerns for building occupants, reductions in operational efficiency, or ingress moisture leading to long-term degradation. This project is focused on the development of an autonomous building envelope inspection system using an […]

This research project aims to explore and outline the implications of supervised and reinforcement learning dynamics in Deep Neural Networks (DNNs) with regard to Visual Perceptual Learning (VPL). DNNs, which are hierarchical computational models inspired by the biological brain, will be used to simulate various VPL tasks. The focus is on assessing how these distinct […]

My project’s goal is to improve the model, which predicts in real-time zones, where it is safe to dissect during laparoscopic surgery. I am going to work on the ways to mitigate tool bias of the current model, as it presence could result into misleading of the surgeon, who performs an operation and, as a […]

The way humans perceive their surroundings relies heavily on some sort of decomposition of those into smaller atomized entities (objects, or parts of objects). This allows for complex reasoning and prediction capabilities which are mostly seen as mundane in humans but are still a challenge to propagate to artificial systems. My project wants to explore […]

Over the past two decades, the number of network-connected devices has grown at an unprecedented pace, far surpassing the world’s population. The most significant increase has been seen in Internet-of-Things (loT) devices, which are predominantly connected through wireless technologies. This project aims at advancing the abilities and autonomy of wireless loT networks by using machine […]

5G network connectivity is important in the quest to revolutionize healthcare in Canada. This is because 5G technology has the unique capability to support reliable high-speed data transfer. The technology also supports increased amount of healthcare data that can be transmitted in real time. This project seeks to 1) explore the use of 5G-enabled healthcare […]

The goal of this research The system will be designed to intelligently propose redactions for court officers to examine, thereby integrating human oversight with advanced technological capabilities.is to engineer an intuitive and user-friendly system capable of automatically scrutinizing and eradicating confidential information contained within refugee court files in Canada. By leveraging cutting-edge language processing and […]