By 2050, agri-food systems must produce enough to feed 9 to billion people, while reversing trends of environmental degradation caused in part by agriculture production. This is no small task, and underscores why countless sustainable agriculture standards, certifications, initiatives and platforms have emerged to encourage and measure the impacts of sustainable agriculture practices. While these […]

The proposed research project focusses towards developing and implementing a method to incorporate a company-specific safety program by incorporating the government-specified guidelines and working through the parameters of the program. The Government of Canada has recently released an enormous amount of data in lines with the safety measures, which needs to be evaluated and extensively […]

During COVID-19 Connected Canadians has expanded its programs to serve seniors in a variety of different ways, including helping to reduce isolation and loneliness amongst the senior population. Research will be done to analyze any operational inefficiencies and weaknesses that may be present and create a strategy to best address them. Connected Canadians is growing […]

Our research goals, which are a mix of theoretical and practical problems, are motivated by the practical near-term problem of delegating tasks to an untrusted remote quantum computer in a secure way. Toward this, we consider the notions of indistinguishability obfuscation for quantum circuits and quantum fully homomorphic encryption schemes. The former refers to algorithms […]

CaseBank provides a service called ChronicX™ to the airline industry for the purpose of detecting and managing repeat defects, i.e. faults that have eluded resolution repeatedly. Each night, airlines upload their raw maintenance records to the CaseBank server. ChronicX applies text mining methods to eliminate irrelevant records, and search for defects that are repeat occurrences […]

The main focus of this research is to develop representation learning architectures and algorithms that can help perform various multimodal understanding tasks, and at the same time reduce the need for human supervision in the form of costly annotations. To achieve this goal, a learning system must be able to: (1) learn new tasks or […]

The process of setting surgical schedules in a modern hospital operating room suite is complicated. Scheduling surgery involves coordinating two separate but inter-related service distribution channels, namely, elective surgery operations and emergency surgery operations. Elective surgical cases are selected from a broad range of diagnostic categories and are scheduled in advance into surgical time that […]

In the first year of the proposed project, we will explore and optimize the application of environmentally friendly solvents for organosilane adhesion promoters that are used in the production of HSS by Canusa-CPS. In the second year, the shelf-life and lifetime of such products will be investigated using accelerated testing procedures. The results of the […]

The use of hybrid distributed energy resources (HDERs) has grown rapidly during the last decade as a way to reduce the stress placed on the utility grid by society’s ever-expanding power consumption. They consist of fossil fuel generators, battery energy storage systems, and renewable energy systems and can be designed to interact with the grid […]

Food systems organizations work brings together planners, community organizers, public health professionals, food producers, distributors and other food champions to transform food systems through direct action in communities, and collective action across organizations and regions. Many regions across Ontario have identified a fundamental challenge: moving from collaboration to action within their region. This includes the […]

Automatic analysis of sport videos is an attractive research area in computer vision that is driving the sport analytics towards a more technological edge. By automatically analyzing sport videos, lots of information could be drawn that benefits the teams, coaches, referees, players and even the fans, such as: extracting strategy of the game, technique and […]

The objective of the study is to develop an algorithm to streamline and automate the decision making process for implementing the municipal wastewater collection flushing program. Traditionally, a municipal flushing program, or pipe cleaning, is based on a time-cycle approach. This means that all sewer pipes in the network are treated the same, ignoring variables, […]