Knowledge graphs store facts using relations between pairs of entities. In this work, we address the question of link prediction in knowledge graphs. Our general approach broadly follows neighborhood aggregation schemes such as that of Graph Convolutional Networks (GCN), which in turn was motivated by spectral graph convolutions. Our proposed model will aggregate information from […]

Quality of drinking water is important to our health and well-being. Water quality monitoring outside the laboratory aims to obtain qualitative information on the physical, chemical, and biological characteristics of a water body. The traditional method of taking samples periodically is not only a cost intensive process, but one that takes snap shots only, with […]

Transmission pipelines are the most popular and widely used medium to transport hydrocarbons (e.g., oil and gas) over long distances. Pipelines might pass through various geological and topographic conditions and therefore, pipeline routing is a critical component for successful design and regulatory approval. Due to the environmental and safety concerns or constraints imposed by the […]

Steel rebars are the dominant reinforcement elements in reinforced concrete structures due to their relatively adequate manufacturing, material property and established construction codes. In an ideal environment and under nominal loading, conventional concrete reinforcement is expected to govern the design strength based on which they are designed. However, under environmental loading conditions, such as very […]

The main purpose of this project is to develop an enhanced portable ground Control Station (GCS) equipped with an Advanced Stand-Alone Virtual Reality Head Mounted Display (ASVR-HMD). In the beginning, a Commercial-off-the-shelf (COTS) stand-alone Virtual Reality (VR) headset would be connected to the flight simulation tool. The VR HMD will be used to visualize basic […]

In the last decade optimization is expanded in many applications from food production to sophisticated applications such as engine fuel efficiency. In the proposed package, it is tried to apply optimization techniques along with physics based analytical and semi-analytical methodologies to create a compelling framework which can help thermal-process based oil industry to reduce their […]

The requirements of this project would be to determine the optimal orientation of the display screens and visor with respect to the user’s eyes. In order to do this, the person undertaking this project will be required to gain an understanding of existing augmented reality systems, how they work, and how their application can be […]

Structurlam Mass Timber Corporation (SMTC) is a renowned Canadian company for its quality mass timber products and ability to fabricate complex design. The company developed a new type of composite glulam as a structural element. Extensive experimental investigation in collaboration with Dr. Alam and Mr. Peng at UBCO revealed the future potential of this composite […]

Quaternary glacial deposition has covered much of southern Ontario with tills and the Saint Lawrence Valley with marine fines. Rivers incised into these materials exhibit particular geomorphologic behavior. Civil engineering works built either in (e.g. dams, bridge piers, etc.), beside (linear infrastructure such as roads, railways, etc.) or across (e.g. bridges, etc.) such rivers must […]

The advent of 5G (fifth generation) telecommunication networks also brings new security challenges, in addition to many benefits to the community. Such is exemplified by its special nature of technology (as well as the new business model) and its deep involvement in people’s everyday life, hence more critical. We need proper security metrics to tell […]

Despite advanced supply chain planning and execution systems, manufacturers and distributors tend to observe service levels below their targets. This can be explained by unexpected deviations from the plan or systems that are not properly configured. Quite often it is too expensive to have planners continually track all situations in supply chain systems at a […]

One challenge to industry adoption of products and services based on Machine Learning and Artificial Intelligence is that their inner workings are often not discernable to human operators. When operators can’t reason about theit tools they tend to make poor decisions about how and when to rely on them. This ultimately limkitsthe effectiveness and efficiency […]