Advanced Network Intrusion Detection Using Automated Algorithms and Threat Models

Computer attacks such as viruses, Trojans, etc. are a continuous problem for governments, companies, and individuals. The most common methods of detecting these computer problems like anti-virus systems rely on an attack being known and described before it can be detected. This opens a hole in computer security systems for new attacks that have not […]

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Software quality monitoring using AI/ML techniques

This project aims at employing AI and machine learning techniques to monitor and improve software quality. The quality of the system is to be measured by several metrics including the number of existing software defects, the normal/abnormal behavior of the system, test quality, test coverage, etc. The project focuses on studying historical data and trends […]

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3D spine imaging using tracked ultrasound and artificial intelligence

Obtaining accurate images of the spine is important for different medical purposes. For example, to measure how deformed the spine is in patients with scoliosis and select the most suitable treatment. Images can also be used to guide a clinician while inserting a needle to reach a exact location in the spine to administer anesthesia. […]

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Visualizing information in situ with 3D photorealistic environments

Advances in computer graphics and display technology have brought new opportunities to create stunning visual effects and interactive experiences. Industry concerned with data visualization is seeking to incorporate these advances into their visualization pipelines. For example, our industrial partner LlamaZOO Interactive Inc. attempts to present abstract data situated in 3D realistic scenes. However, most research […]

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Segmentation automatique de dents à partir des scans oraux

L’automatisation des tâches de fabrication dans les laboratoires de prothèses dentaires revêt un intérêt considérable, à la fois pour les techniciens et pour les patients. En effet, une partie importante du travail consiste en des tâches répétitives, longues et qui exigent un effort de concentration et de minutie soutenu. Par conséquent, il existe une grande […]

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Efficient Cutting for Haptic Surgery Simulation using Hybrid Deformation Models

This research project aims to expand Symgery’s line of surgical training products by simulating cutting and tearing of physical models in real-time. Cutting and tearing of simulated models typically requires additional computational overhead due to post-processing of the volumetric mesh. However, our approach will render the process to be more efficient by using a hybrid […]

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Multi-sensor object detection and localization for inspection robots

Hydro-Québec faces numerous challenges to inspect and maintain its infrastructures. Robotics used for infrastructure inspection can lead valuable gains in efficiency. However, large-scale adoption of inspection robots requires higher autonomy levels, like the capacity to autonomously inspect specific assets. AI-based object detection and localization is a key capability to complete autonomous inspections with robots. This […]

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Powering Transactive Energy Markets using Smart Contracts in an Integrated IoT-Blockchain Platform

In this project, we propose the use of blockchains to provide reliability, security, and transparency for collecting and querying IoT data in the energy sector. In particular, we will implement and evaluate our blockchain solution for enabling transactions in local energy markets, where homeowners have the capacity to generate energy (through renewables), stock energy (through […]

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User Feedback Evaluation and Providing Insights on UI Refinements for Refresh Wellness Application

People who experience mental wellness challenges or mental illness often struggle to obtain or maintain a position in the workplace. Furthermore, lack of employment means individuals lose out on a myriad of mental, emotional, and physiological benefits that are generated through work. This is extremely relevant given the current COVID crisis, where personal distancing and […]

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Designing, implementing and optimizing an SVM based system to detect machines engaged in distributed denial of service attack

In this research, we propose the design of an efficient automated system which can effectively learn from the patterns of malicious activities, in the form of distributed denial of service attack (DDoS) against web servers on the Internet, and subsequently offer potential victims protection against such attacks by banning such requests in advance. A DDoS […]

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Foreign Exchange Software Systems

The project will be about the development of foreign exchange, risk management and international payments software systems of the partner organization. The intern will be responsible for designing and implementing new software systems, maintaining and improving performance of existing systems and writing automated tests for new and existing software systems. This project will improve the […]

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