A key factor in fostering the resilience of children and youth is the presence of at least one caring adult who holds high but reasonable expectations of them. In some instances, this relationship is formally facilitated by an organization in the form of mentorship. Despite the documented positive effects men have in the lives of […]

The forestry sector is one of the important pillars in the Canadian contributing to 1,6% for the country`s GDP. Access forest structure and quantifying leaf and wood elements is essential to understand productivity and environmental contribution of trees and forested areas. Light Detection And Range (LiDAR) produces a 3-Dimension point cloud with high spatial resolution, […]

Frailty is an especially problematic expression of population ageing. It is a condition characterised by loss of biological reserves across multiple organ systems and vulnerability to physiological decompensation after a stressor event. Older people with frailty are at increased risk of adverse outcomes including disability, hospitalisation, nursing home admission and mortality. This project addresses the […]

The Beaver Hills Biosphere is a newly established biosphere reserve that needs to communicate why it is a special place to its residents and visitors. The UNESCO Biosphere program wants biosphere reserves to promote the exchange and transfer of knowledge on environmental problems and solutions, and to foster environmental education for sustainable development. Research related […]

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 […]

Achieving optimal sport performance is complex and multidimensional. Athletes need to have high levels of physical and psychological skill. It is already commonly understood that an athlete’s emotional state can affect performance. With this project, we would like to take this one step further and investigate how an athlete’s emotions affect movement patterns, more specifically […]

The intern will be part of the ATCO Electricity Innovation Team and will support in delivering novel next generation prototypes that will define the future of the electricity grid in Alberta, broader Canada and globally. Some of the current projects in the portfolio includes smart EV charging, artificial intelligence based microgrids, home of the future […]

We propose to explore the notion of relative reachability in transportation networks. Relative reachability refers to the determination of which transportation mode is more efficient to reach a given location in a city, e.g., using private vehicles vs. public transit. Within this context, an obvious and admittedly straightforward question (query) is to find the relative […]

The gearbox is a classical mechanical unit and has been widely used in modern power transmission systems. Fault detection and severity assessment of gearboxes prior to their failure can prevent the sudden failure of gearboxes, as well as enable condition-based maintenance and thus reduce maintenance costs. However, the fault detection and severity assessment are challenging […]

A veneer wythe protects the indoor environment and other building components against adverse outdoor effects, such as rain and physical impacts. Veneer walls are connected to a structural substrate (e.g. wood frame or masonry units) by ties. These are usually made of steel and therefore high in thermal conductance. The ties penetrate the thermal insulation […]

Density-based clustering is a statistical learning technique that aims at finding high density regions in the data separated by low density regions, finding applications in virtually all fields of knowledge. Hierarchical density-based clustering goes one step beyond and finds a hierarchy of density-based clusters at different density levels according to a user-defined density smoothing parameter. […]

Lending to various companies and individuals is a core business of banks. This lending activity comes with credit risk, namely the risk that some borrowers default and fail to make required payments. Estimating credit risk accurately is important for banks’ risk management. In this project, we analyze and model the dependence between loss frequency and […]