This Mitacs project will develop and determine the structural performance of a novel bridge construction method using precast girders and precast deck slabs made of ultra high-strength and durable concrete. Full-scale tests and computer simulations will be conducted to accomplish the goal of this project. The test data obtained from this study will be analysed […]

Our research studies aim to gain a better understanding of how restaurants communicate risk to people with food allergies from the perspectives of customers and restaurant staff. We seek to understand what methods are used to communicate risk, what methods are most effective, and what strategies restaurants take to make the public aware of the […]

With the increasing popularity of digital assets such as cryptocurrencies, many financial technology (FinTech) systems have become safety critical. However, current FinTech system development approaches often lack the rigorous safety practices found in the aerospace, nuclear, automotive, and military industries. To address safety concerns of FinTech stakeholders (users, but also regulators and financial institutions), this […]

Current research in semantic parsing suffers from lack of annotated data, which is hard to acquire. In this project, we aim at tackling the problem of converting natural language utterances to SQL language (Text-to-SQL) on complex databases in a low-resource environment. More specifically, we focus on the research of how multi-task learning (MTL) can help […]

Ultra-high-performance concrete (UHPC) double wythe panels are commonly used in building envelopes, however, the connections between panels have not been investigated properly. Several design connections will be designed and tested in association with the industrial partner to determine the feasibility of the designs. The project will investigate the structural behaviour and strength of different connections […]

Microarray testing allows high-volume analysis. This work will develop tools for accelerated analysis and modifications to surfaces used within the partner facilities. The goal is to enhance the performance of current assay designs and to inform and guide the next-generation of assay designs (ie 384 well plates) which will support the partner’s technology leadership position. […]

Mitigating climate change will need to decrease the demand on fossil fuels and developing low carbon fuels. Co-processing biogenic feedstocks in existing oil refineries could provide significant amount of low carbon fuels as well as displacing the demand on fossil fuels. The proposed research work with an oil refinery who is commercialising co-processing oleochemical feedstocks […]

Lead scoring is essential for lead management. The result of lead scoring is a list consists of leads with scores assigned indicating how likely each lead can be converted into the next stage of sales process. The Lamb or Spam and the Rule-Based are the two lead scoring methods that have been discussed in the […]

Detection of financial fraud is a priority for financial institutions. There are a variety of techniques and models that can be used to address the problem of financial fraud. However, as fraudsters are becoming more inventive and adaptive, they have been able to penetrate the conventional protective methods. This is one of the main reasons […]

We will develop advanced software toolkits for seismic inversion and imaging. These method are called Full Waveform Inversion and Reverse Time Migration (FWIIRTM). The FWIIRTM will be used to obtain accurate 30 images and elastic properties of subsurface complex structures.

Innovative geosynthetic drainage products have been developed that have the potential to significantly benefit the stability of constructed embankments or reconstructed slopes especially where these are constructed from soil (or soil-like materials such as tailings) that are finer and less permeable (and thus weaker) then free-draining coarse-grained granular fills. Applications include reconstruction and stabilisation of […]

Financial fraud is a serious issue that is taking place globally and causing considerable damage at great expense. Statistical analysis and machine learning tools can help financial institutions detect different types of fraud. In some cases however, mislabeling and the cost of classification may actually increase the volume of ‘false positives’ for supervised methods. As […]