Networks are ubiquitous in our world. In broad terms, a networked control system consists of sensors, actuators and controllers interconnected and coordinated through a communication network. Networked control with distributed intelligence can open new directions in the industry of robotic entertainment allowing for pursuer-evader games to be played with multiple robots. The research proposed here […]

Environmental modelling and monitoring software systems, which are very important in assessing the effects of climate change, require open data from a large number of sources including all levels of government, NGOs such as watershed management authorities, consultants and business. This data needs to be brought together into internal databases and to be kept up-to-date […]

Humpback whales show remarkable recovery after the impacts of commercial whaling, and their consumption of essential food resources could affect local herring and salmon populations. Little is known about the feeding ecology of humpback whales in BC waters, despite their increasing importance to fisheries and tourism. Both humpback whales and fish are vulnerable to prey […]

Riverview Health Centre (RHC) plans to renovate their special care units and grounds, which accommodate 60 residents with intermediate and advanced stages of dementia. The main purpose of this study is to examine the effects of the renovations on residents, family and staff using a multi-methods research approach and a multi-disciplinary team of researchers (i.e., […]

The current survival times for breast cancer patients with brain metastasis range from 2 to 16 months suggesting a strong need for improvements in their therapeutic care. Although radiation therapy is the standard of care for these patients, combination with chemotherapy has demonstrated promising therapeutic benefits. The hypothesis of this research program is based on […]

We aim to develop tools to assess patient outcomes following treatment and removal of bone metastases. We will identify markers for enhanced patient outcomes, so as to predict which patients may benefit from more aggressive treatments to better their quality of life. We also aim to use 3D printed bone implants to help in the […]

It is critical for consumers to be assured that Natural Health supplements being purchased commercially are of high quality and contain the ingredients as listed on labels. For regulatory agencies to make such assurances, it is important that third-party product testing be carried out to identify the presence of the appropriate botanicals and their active […]

Evaluating the impact of multiple stressors on aquatic ecosystems often requires robust biodiversity estimates. Traditional methods for sampling fish communities are very costly, may have a significant share of inaccuracy and require specialized taxonomic expertise and have numerous other inherent limitations. The general objective of our proposed project is: • to develop and validate genomic […]

This project aims to assess how the use of the novel “ultra-short echo-time” (UTE) MR imaging technology can “add value to” conventional MRI for detection and quantification of blood products in hemophilic joints. We will test this novel technology in joints of hemophilic patients with different stages of arthropathy presenting with blood products at different […]

Carbon Capture and Storage (CCS) can deliver needed substantial emission reductions as we transition to alternative fuels. However, it is important to verify that CO2 being injected into the subsurface is well contained within the geologic container. This student will construct soil gas wells, as well as conduct surface monitoring research to define normal fluctuations […]

Symbiotic EnviroTek Inc, in collaboration with the University of Calgary is undertaking a research project that will pilot and validate the efficacy and robustness of algae as a wastewater treatment technology and demonstrate a new business model for municipal wastewater infrastructure. The project provides a unique opportunity to optimize system performance in a pilot scale […]

Deep learning is currently the dominant machine learning technique as a result of state of the art performance in vision (Russakovsky, et al., 2015), speech (Amodei, et al., 2015) and natural language processing (Vinyals et al., 2015). The improvement in performance of these models is attributed to the availability of large datasets for training the […]