This project makes it possible for Canadian researchers to share secure and traceable datasets between large computing systems in Canada. These traceable datasets can be used to further reproducible science by allowing everyone in the scientific community to know where the dataset used for experiments is from and that it has not been altered. Traceable […]

The polymer (a large chain of molecules) under study is called poly(ethylene glycol) (PEG). It has only two types of molecules (carbon and hydrogen) and is an amphiphillic copolymer, meaning it attracts both water and fat molecules. When temperature changes, this polymer can go from a liquid to a gel. This gel is unique, in […]

Total::Insight™ is a geospatial and time distribution Decision Support System (DSS) that includes a correlator capable of consuming many sporadic time domain signals and converting them into feature rich tracks. The problem here is how to create an AI/ML embedding that is domain relevant from the tracks.The project objective is to develop, refine and industrialize […]

Drilling is a major operation in the mining industry. Holes are drilled in underground mine structures to insert reinforced steel bars for support and to prevent the mine from collapsing. One of the mining operations is to break mine rocks using explosives into smaller parts that can be transported for further processing. Both cases need […]

H2O2, as a greener oxidant, has been regarded as an environmentally friendly alternative used for selective oxidations, water treatment, pulp bleaching, and topical disinfection. However, by far H2O2 is mainly produced by an indirect process involving sequential hydrogenation and oxidation of an anthraquinone. The current process requires large capital investments and is reliant on energy […]

This project will develop a prototype technology to guide cranes to automatically place building elements using visual reference markers (QR codes). Working with Sparkbird, the R&D arm of WZMH, two interns will develop a software application to estimate the relative positions of the element to be placed with existing elements and the crane, allowing for […]

The research will entail the creation of silver titanium dioxide and cellulose acetate membrane. Their applications in wastewater treatment will be assessed. The different methods of preparation will be compared and the most efficient method shall be determined. Tests will be conducted to simulate wastewater treatment. Expected outcomes include: creating silver titanium dioxide and cellulose […]

Weight reduction has been one of major driving forces of research and innovation in automotive industries. Changing from the conventional Laser overlap welding to edge welding could save 50% of total weight of joint flanges of workpiece. Also, edge welding can significantly improve the welded joint mechanical properties. However, edge welding is challenging since the […]

Over 5% people across the world are hard of hearing, and require assistance in navigating public transportation/airports. This project attempts at automated sign language synthesis through a virtual avatar for improving day-to-day life of people with hearing impairment. The industry partner has developed a preliminary framework to conduct animation on virtual avatars to play back […]

In our research project, we aim to address environmental contamination caused by biphenyl and biphenyl ether, common pollutants from industrial activities. These chemicals, found in products like building materials and thermal energy transfer fluids, pose risks to both ecosystems and human health. Conventional cleanup methods often fall short, requiring a more sustainable approach. Our solution […]

Polyvinyl chloride (PVC) is the third most used plastic, and China is ranked first worldwide in its production. Like all polymers, this plastic is made from a reaction that binds monomers together into a chain called polymerization. Like the name suggests, the monomer for polyvinyl chloride is vinyl chloride. The main method of vinyl chloride […]

We will investigate the skill of using several machine learning techniques to produce long-term (years to decades) forecasts for precipitation. The partner organization provides weather forecasts to a variety of industries and would benefit from more accurate long-term forecasts.