Machine learning techniques have been applied to the financial industry for some time. They have allowed large utilities and generators to better forecast their needs, and the prices they will pay, leading to a generally more efficient grid. However, very little research has been done that could benefit power marketers, who do not have a […]

The objective of the proposed research project is to automate the redaction of financial portfolios reports. The generated reports should inform the reader about which factors influenced the portfolio’s returns, to what degree, and how far these factors deviate from the norm.

In today’s candidate-driven market, talent recruitment represents a major challenge for many companies. Younger millennials have different expectations of their work environment than previous generations. They are heavy users of technology in almost all their activities, including job search. They are also used to multiple social medias and expect faster feedback.  In this changing environment, […]

Bridge infrastructure constitutes a substantial portion of national wealth of Canada, whose performance during earthquake events has a significant impact on the public safety. This study focuses on investigating the force-based and performance-based seismic design of bridges specified in the latest version of Canadian Highway Bridge Design Code 2014. Both experimental and numerical studies will […]

Architectural design data have mostly been limited to visual representations, specifications and contractual documents. Today, design firms generate vastly more and diverse data, but lack adequate access to tools to gain insight from such data. Yet the field of “visual analytics” provides concepts and systems exactly for working with such data. The proposed research aims […]

In recent years, deep learning has led to unprecedented advances in a wide range of applications including natural language processing, reinforcement learning, and speech recognition. Despite the abundance of empirical evidence highlighting the success of neural networks, the theoretical properties of deep learning remain poorly understood and have been a subject of active investigation. One […]

To enable the development of self-driving vehicles, an accurate characterization of automotive radar modules under various road or weather conditions is required to ensure reliability is maintained under all circumstances. With this fundamental building-block established, ACAMP will be able to support Canadian technology companies in the development of autonomous vehicles. This project will also provide […]

Compilers are large software projects consisting of many separate but common components like code generators, garbage collectors, and runtime diagnostic tools, to name but a few. Historically compiler developers have had to write each of these components from scratch. The Eclipse OMR project was created to provide generic components for use in new compilers and […]

As consumer preferences shift from shopping at brick and mortar stores to on-line shopping, there is an increased need for warehouses to use automated systems that fill orders quickly and accurately. This research project will design a warehouse robot that is adaptable to different platform systems and shelving configurations, providing a lighter, faster, and more […]

The project targets design and implementation of error-correction codes for high-throughput fiber-optic communication links. We focus on the error-correction encoding at the transmitter side as well as decoding at the receiver side considering the simplicity of implementation and low power consumption at both transmitter and receiver.

Reinforcement learning (RL) is a type of machine learning that focuses on allowing a physical or virtual agent to complete sequential decision-making tasks, such as video games. It has had many successes, but can be slow in practice, requiring large amounts of data. This project aims to speed up such learning problems by leveraging information […]

Titan Sécurité Inc. has deployed wearable video camera devices for security and surveillance applications, and seeks to accurately detect and recognize objects appearing in captured videos. This project focuses on video-based face recognition (FR), where facial trajectories captured with video cameras are compare against one (or few) reference stills for each individual of interest. The […]