The goal of this research project is to develop novel techniques to solve different tasks for character animation using deep neural networks and generative modeling. Namely, we wish propose a novel approach for transitions generation, in which clips of character animation can be linked together with a novel clip. This transition will be generated by […]

Electronic exchanges are venues that provide immediacy for those who need to find a counterparty to their trades. Orders of various types arrive in the market at ever increasing speeds, and in this era of high-frequency trading (HFT), institutional investors are often disadvantaged because of their high-latency relative to faster traders. To level the playing […]

Dairy production in Québec, Canada, contributes for 38% of the province agriculture-related greenhouse gas emissions. These numbers could however increase in the near future due to the evolution in manure management of dairy farms. A model (N-CyCLES), providing a whole-farm perspective considering on-farm interactions to determine the cost-effectiveness of overall strategies, will be used to […]

The main objective of this research project is to investigate, develop and evaluate state-of-the-art image processing and machine learning algorithms, which are suitable for accurate modeling and recognition from large-scale medical image datasets that are weakly labeled. In particular, we will focus on the learning of recognition models in medical image computing applications that are […]

In case of an oil spill in a marine environment, an important aspect of an early response is to confine the oil spill and prevents it from getting dispersed. The objective of this master thesis project is to contribute to better understand the stability of a liquid/liquid flow subjected to imposed shear, as a toy […]

The Arctic environment is changing rapidly, and this change may influence the health of organisms that live there, such as belugas. In periods of low sea ice extent, belugas in the Beaufort Sea showed altered expression genes involved in various aspects of health. Further, polychlorinated biphenyls, contaminants of concern, were also associated with altered gene […]

This research aims in utilizing agriculture wastes in production of sustainable eco-friendly construction materials for farms building. The mechanical and durability performance of the proposed eco-friendly construction material exposed to the aggressive agriculture environment will be evaluated. The research will investigate the effects of different factors mainly related to physical properties of used wastes and […]

The creative industry is one of the vital pillars of the Canadian economy. Furthering the careers of women in business, technical and creative roles in Vancouver can help promote the economic growth of BC creative industry and advancing women into higher roles. Our project is to track the real-time data of the female staff in […]

Machine learning (ML) applications have shown remarkable performance in vanous intelligent tasks but high computational intensity and large memory requirements have hindered its widespread ubhzation in embedded and Internet of things devices due to resource constraints. Many optimization techniques have been proposed previously for domain specific architectures. These optimizations will affect an embedded device differently. […]

PACICC role is to compensate policyholders in scenarios where a P&C insurer can no longer provide compensation while overseeing the health of the P&C industry in Canada. The proposed project aims to improve PACICC’s ability to identity companies at risk of insolvency and improve strategies to minimize dead weight loss when insolvency is imminent. The […]

Machine learning (ML) is a method of training a computer to learn from data and predict future outcomes based on existing patterns in the data. This project aims to utilize various ML methods as new and potentially better analytics and predictive tools in the area of credit risk management for ATB. Given that data quality […]

Nuclear power plants provide stable, carbon-free electricity to Canadians. In order to ensure their safe operations, materials in the reactors must be characterized on a regular basis. This project aims at developing an Artificial Intelligence—an artificial neural network—with the aim of automating the indentification of helium bubbles in Ni-based alloys currently in use in Canadian […]