Model-based reinforcement learning allows AI systems to learn and use predictive models of their environments to plan ahead, achieving tasks more efficiently. The proposed project aims to (i) develop methods for identifying when an uncertain and/or flawed model can be relied on to make plans, and when it cannot, and (ii) implement a method which […]

Our parks, public spaces and their activations can catalyze neighborhoods to build connections and create stronger communities. However, it is often challenging to measure the impact and value of these projects, at a neighbourhood level. This project looks to develop a deeper understanding of the impact of public space initiatives, focusing on the short and […]

As the use of modular construction grows as a favorable affordable housing solution, there is a need to determine which parts of the building are most critical to manufacture with a high degree of precision. Producing a whole building to the same level of precision as an automotive or aerospace assembly for instance, is costly, […]

As part of this proposal the intern will be working with DME to develop and examine the viability of data-driven point-of-care system for the assessment of suicide risk. DME is a Canadian start-up company in the business of developing cloud-based point-of-care monitoring systems for the management of psychiatric illnesses. DME has developed algorithms to diagnose […]

In 2016, in partnership with The Ontario East Economic Development Commission (OEED), we started exploring the potential of AIM to represent and manage multi-dimensional graphic and semantic assets related to a geospatially large (40,000+km2), non-urban environment in Eastern Ontario. The area under study is comprised primarily of what Statistics Canada identifies as “rural and small […]

Like many of their global compatriots, Canadian banks have embraced digital transformation, which enables their account holders to access and manage their accounts and investments online, allowing personalized service. This reality includes the needs of internal stakeholders as well as clients. Planning and implementation of Customer Relations Management and digital sales systems require new ways […]

The adoption and integration of electric buses (eBus) will have positive impacts on the efficiency of transportation services, on energy consumption and related environmental benefits as well as costs, In partnership with CUTRIC OCAD U will engage dynamic Visual Analytics and Design Science to support electric bus (eBus) implementation in Canada, allowing the careful tracking […]

This project aims to promote the use of energy from solid waste by modeling data obtained from a Canadian landfill facility and by studying non-conventional waste-to-energy technologies and their applicability in Brazil. The collected data at the St. Sophie Landfill will be used to model thermal parameters and to simulate the influence of low temperatures […]

The outer covering of organisms often come in the form of a cellular plasma membrane, providing protection from harsh external factors. However, protection is not its only function; it acts as a matrix for important cellular reactions and processes (e.g. signal transduction, protein interactions, and more). At its basis, the membrane is a lipid bilayer […]

Machine learning in large-scale Internet-of-Things (IoT) systems can bring overwhelming demand on the limited resource of IoT devices, e.g., simple cameras and ambient sensors. However, it can substantially benefit from the additional computation and communication resources provided by a new wireless computing framework called Mobile/multiaccess Edge Computing (MEC). In this project, we study machine learning […]

This research helps to automate ontology development in order to support semi-supervised and active learning chatbot as much as possible, so that the overhead of chatbot training that requires human supervision is minimized, while relevant knowledge management activities become more efficient. The research objectives are both to refine the quality of the chatbot interactions and […]

In this MITACS-funded project, a postdoctoral researcher will work with partners at Trent University and Bird Studies Canada to expand our understanding of how wind turbines affect birds and bats. We will leverage an extremely detailed database on wind-wildlife interactions that is managed by Bird Canada. Using these data, we will investigate whether bat and […]