In collaboration with Western Canada Realty, we aim to develop a real-estate valuation online service for the Alberta real-estate market, especially for Edmonton. The product resembles Trulia and Zillow on a high level, which are real-estate price estimation web services in U.S. The system requires a backend that takes as input house pricing information from several sources including real-estate property assessment publicly available from the City of Edmonton website and recent house transaction records on MLS®.

The living environments have been increasingly considered as significant to the well-being of people with dementia in both research and practice. Addressing this, practitioners, including developers, operators, and architects who are in charge of the environmental creation of dementia care facilities, need to know the specific requirements of people with dementia, in order to apply this knowledge to their practical works.

Geothermal energy extracts heat from the ground which can be used directly, or converted into electricity. In a geothermal power plant hot water is extracted from an underground reservoir with a borehole, and geophysics is used to locate these reservoirs. In the planned research, a geophysical method called magnetotellurics (MT) will be used to image the subsurface of a geothermal prospect at Canoe Reach in British Columbia. This method measures the electrical resistivity of the subsurface and can detect locations where hot water is present.

Over 14 million Canadians live with overweight or obesity. Patients want conversations with their primary care team about weight and create personalized plans to improve their health. Primary care clinicians want to have these conversations too, but don’t know how. This project partners with an interdisciplinary primary care team (ESPCN) and the Canadian Obesity Network (CON) to create an intervention for personalized obesity assessment and care planning, and study how it supports patients in their everyday lives.

Design of loadbearing, out-of-plane (OOP), tall masonry walls tends to have stringent limits related to their buckling stability and the scarcity of research on their structural reliability. This currently puts the masonry industry at a disadvantage as a construction alternative compared to other structural options.

Design of loadbearing, out-of-plane (OOP), tall masonry walls tends to have stringent limits related to their buckling stability and the scarcity of research on their structural reliability. This currently puts the masonry industry at a disadvantage as a construction alternative compared to other structural options. The dearth of masonry research and innovation in slender wall design since the 1980’s, when working stress and prescriptive-based design was common, has had a negative impact on the use of conventional slender masonry walls as limit states and objective-based design was adopted.

Degradation assessment for critical assets in power generation has great significance for power industry. Existing degradation assessment models failed either in combining the multimodal condition monitoring data or in removing time-varying working condition influences, resulting in inaccurate and/or unreliable degradation assessment results. In order to achieve robust and accurate degradation assessment for power generation critical assets, this project aims at developing new models based on both maintenance data and condition monitoring data from ENMAX.

Bones undergo a renewal process by replenishing calcium mineral through a cellular process known as remodeling. Usually, it happens in a balanced manner, but in many bone diseases, the remodeling process is increased with regional bone metabolism. Bisphosphonate (BP) drugs selectivity and strongly bind to bone mineral and become incorporated at active sites of bone turnover in an increased amount.

A critical issue in the oil and gas industry is to quantify the composition of fluids flowing back from the hydraulic fracturing process. This quantification is usually carried out by a manual process (frequently via a visual test) to estimate the water and oil produced from a well flow back process. A sample of these onsite tests are sent to laboratories for chemical analysis. This process has been the status quo for decades. This approach is manual, prone to error, and does not lend itself to sophisticated real time analysis.

This project is designated to the development of information and communication systems for advanced irrigation systems. An optimal wireless network planning algorithm will be developed to select the optimal locations for relay station placement at a minimum cost. Due to the potential GPS measurement errors in the irrigation area, robust optimization technique will be applied for the optimal irrigation command calculation.