Pipelines have significantly contributed to the Canadian energy industry and overall economy. Specifically, nearly 60% of energy consumed in Canada comprises of oil and gas delivered through pipelines. However, in pipeline steel, many failures were caused by cracks during pipeline operation. The proposed research project aims at developing a reliable and effective tool to predict […]

Digitization of assets is becoming a dominant form of business operations today; the Internet of Things and increased connectedness to consumers and citizens alike is creating a decentralized virtual marketplace for digital services and assets. The potential for sharing technology assets is high due to digitization (the new way of referring to digital transformation). Principles […]

Although recreational and medicinal marijuana is legal in Canada regulations limit the content of certain cannabinoids, such as ?9-tetrahydrocannabinol (?9THC) in commercially grown strands. With close collaboration with our industrial partner Plantbiois Ltd., this research project will develop methods to produce ?9THC by synthetic conversion from highly abundant cannabinoids in unregulated, low THC strains. We […]

The steam assisted gravity drainage (SAGD) is the most commonly employed process for extraction of oil or bitumen from oil sands reservoirs. This process involves injection of large quantity of steam into the oil reservoir. The injected steam is further recovered as produced water which constitutes high concentrations of hydrocarbons and mineral salts. Due to […]

The implementation of data structures usually requires checking for certain mathematical properties such as equality. Those properties are usually implemented in methods that reason about the objects stored in these data structures. However, the implementation of such methods is fairly complex, and may exhibit software bugs that may not necessarily lead to program crashes. Therefore, […]

Asian multinational corporations (MNCs) have been a primary driver of the world region’s economic rise. Their emergence brings fresh air and new challenges to the global economic order. Key to their success is a distinct form of business culture and organizational strategy, which the existing scholarship has yet to address. This project aims to develop […]

Global warming and climate change have been increasingly attracting the attention of researchers and the public in the past few decades. It is believed in the scientific community that climate change is a direct effect of the increase of greenhouse gases (GHGs) in the atmosphere. Carbon capture and sequestration (CCS) is a promising solution for […]

A new therapy was developed in order to combat cancers by stimulating our immune system to fight agents the cancer cells in the body. The activated immune system is more efficient to fight the cancer cells than the common drugs, but stimulating the immune system is very expensive and labour-intensive with the currently developed protocols. […]

Over the past few decades, mental disorders (e.g., depressive and anxiety) have become a significant medical burden for people of all ages. According to the survey performed by the World Health Organization (WHO), at least one out of ten people in the world suffers from mental health diseases (i.e., mental disorders, neurological disorders and addition). […]

Synauta is a startup bringing the world’s best Internet of Things solutions to water utilities. Our deep industry knowledge prepares utilities for true connectivity to realize energy savings. We provide cyber security, sensors and software. In this project we will create a temperature prediction algorithm to save energy for water treatment plants. More energy can […]

With the increasing complexity of study designs in biomedical research, biomedical scientists are often challenged with tasks of analyzing data measured by complex study design. Although most statistical analyses assume the end results are independent, the outcomes of repeated measurements taken on the same subjects are in fact dependent, which may contribute to the failure […]

Models quantifying the grade and tonnage of mineral deposits form the basis of important and costly decisions for planning, optimization and extraction of a natural resource. Models are initially generated from sparse exploration sampling; however, information is continuously collected until resource extraction. Predicted values that reconcile well with true values following extraction instill confidence in […]