Deep neural networks are effective at image classification and other types of predictive tasks, achieving higher accuracy than conventional machine learning methods. However, unlike these other methods, the predictions are less interpretable. While accuracy may be enough for applications where errors are not costly, for real world applications, we want to also know when the […]

The project aims to develop the deep learning-based algorithm that translate the image style of specific object to the reference style. Firstly, the proposed research focuses on identifying the accurate region in image for style transfer, and then translating the image style in that region. Current techniques about image style transfer are struggling to focus […]

This research project will analyze different funding options for watershed co-governance in the Nicola River watershed in British Columbia. There are ongoing efforts in the Nicola River watershed to develop and implement a co-governance structure involving the Province of BC and five Nicola First Nations. These efforts are made possible by short-term funding that is […]

Widespread decline in social capital is well-documented and has been attributed to a range of underlying root causes, from policies regarding the physical design of our neighbourhoods, increasing geographic mobility, shifting away from more localized economies, the complexity of increasing cultural diversity in many areas, to societal beliefs and norms related to individualism. We know […]

Dual-fuel diesel-natural gas engines have the potential to be an economical and low-emission alternative for heavy-duty transport applications. These engines combust pre-mixed natural-gas/air mixtures by ignition with a pilot injection of diesel fuel. The fraction of energy provided by each fuel can be varied for engine operating conditions. Natural gas is less expensive than diesel […]

The objective of the research is to develop a system leveraging data captured for commercial building management systems (BMS) to take decisions in to reduce energy consumption without affecting comfort. The idea is to showcase how intelligent control can be implemented in existing BMS to optimize energy consumption. The project is divided in three parts: […]

Autonomous operation of oil and gas pipelines is being introduced to the marketplace by utilizing advanced process control and Artificial Intelligence. This Project will explore the use of advanced optimization algorithms in combination with autonomous operation to further increase efficiency of pipelines by continually driving pumps, compressors and valves to achieve the lowest cost operation. […]

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 […]

Providing safe drinking water to the population is one of the main roles of municipalities. However, due to aging urban infrastructure, the number of pipe break is an increasingly around the world which is costly at the economic, social and environmental levels. Municipalities need to have tools that allow predicting these breaks so they can […]

Simulating the Heating Ventilation and Air-Conditioning (HVAC) system performance in a virtual environment is an integral part of a vehicle development process. Transient system behaviour is captured by modeling refrigerant flow, coolant flow and its interaction with air flow with the use of a one-dimensional tool. In this project, a methodology to integrate the thermal […]

This project will be with Vena Medical that focused on creating a forward viewing imaging microcatheter to provide a real-time navigational perspective for interventional physicians. The Vena Microcatheter will make interventional procedures faster, easier, and safer for both patients and physicians. This project will investigate the novel polymer optical fiber with high flexibility and high-quality […]

There is a simple way to have great skin, be more attractive, and improve one’s health, but most of the global population refuses to do it. Worldwide fruit and vegetable (FV) intake is below recommendations reducing the intake of yellow-red plant pigments that have antioxidant, anti-inflammatory, anti-cancer, and anti-obesity properties. These plant pigments are called […]