At the International CCS Knowledge Centre (Knowledge Centre), we take climate action seriously. We are dedicated to advancing the understanding and use of large-scale carbon capture and storage (CCS) to manage greenhouse gas emissions globally. We offer practical, hands-on experience-based guidance, and technical advice for planning, design, construction, and operation of large-scale applications of CCS […]

The floral composition, including algae, of the Qazvin basin, is poorly known. This basin is located on a mountain range that is a very important place in the world for its biodiversity and endemism, generated by the geological and topographic complexity. In this project we will identify the diatoms (silica algae) that inhabit the Shahroud […]

The proposed research project assesses how collaborative robotics can be used in the construction industry. Humans may now engage and collaborate with robotics (Cobots), which are gradually being employed in the construction sector; therefore it is important to thoroughly understand the functions of Cobots and how they will assist in the near future. The purpose […]

In cloud computing, managing the vast amounts of data created by construction projects is challenging. The cloud cannot support peak data loads, and the owner has no control over the security of the data that is being stored. This creates a need to assess cloud data management in the construction industry as construction companies become […]

Rural homelessness in Canada is still an ongoing problem that the country is trying to address. Most of Canada’s indigenous families in remote communities are living in substandard housing that needs major repairs. 3D printing of cementitious material to digitally construct building structures has already gained considerable attention from both the public and private sectors. […]

The insurance industry is a competitive sector that is expected to account for 3.1 percent of Canada’s Gross Domestic Product in 2021. Leading insurers are investigating how machine learning (ML) may enhance company operations and customer satisfaction as clients become more selective about personalizing their insurance purchases to their particular needs. AI chatbots have the […]

The particularly important goals faced in the world oil and gas sector is the increasing hydrocarbon production and net zero carbon emissions. Achieving climate neutrality means balancing emissions in such a way that the entry of CO2 into the atmosphere is prevented by its absorption, further utilization and storage. The Enhanced HC Recovery methods and […]

Food security is a global concern due to the ever-increasing population amid limited agricultural land resources. Farmers utilize fertilizers and herbicides to ensure consistent crop establishment. However, overuse of fertilizers and other treatments leads to negative consequences resulting in soil depletion, environmental contamination, and pollution. An effective way to reduce these toxic chemicals is to […]

An excessive amount of end-of-life (EOL) textile in Canadian thrift stores have been reported since the first wave of COVID-19 in March 2020. The donated clothes have gradually filled the thrift stores and a management plan is urgently needed. The quantity and composition of EOL textile, as well as the seasonal variations, are poorly understood. […]

This research project has two goals. The first goal is to design and test software that will automatically transcribe 9-1-1 emergency calls and interpret their meaning with respect to the central facts of an emergency (who, where, and what occurred) as well as possibly when, why, and how the emergency occurred. The second goal is […]

Research has confirmed the lethal effects of the COVID-19 virus on the cardiac function, and thus the proposed research will investigate the use of heart imaging data during a hospital intervention can help us understand what happens to those with both COVID-19 and a heart attack. This research is being conducted using a multi-centre approach […]

The next generation neutrino experiments like Hyper-Kamiokande will have statistical power, but the presence of detector systematics will limit the discovery potential of the experiments. The uncertainties due to construction tolerances, support frame shift from PMT buoyancy, and the source deployment system, combined with uncertainties in PMT angular response, and position-dependent water quality, can limit […]