Modelling spatial variability of rock mass structural heterogeneity for pit slope stability analysis using a large-scale discrete fracture network (DFN) model

Improving the design and operation of open pit mines by better understanding and modeling of spatial variation of rock mass properties, can bring economic benefits to the mining industry. The proposed research project aims to develop an innovative large-scale discrete fracture network (DFN) model that is spatially constrained based on the recorded fracture data from […]

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Designing for AI/ML Human Interactions in Industrial Condition Monitoring

One challenge to industry adoption of products and services based on Machine Learning and Artificial Intelligence is that their inner workings are often not discernable to human operators. When operators can’t reason about theit tools they tend to make poor decisions about how and when to rely on them. This ultimately limkitsthe effectiveness and efficiency […]

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Development of nano-colloid with gold nanoparticles to detect Legionella pneumophila using the principle of localized surface plasmon resonance

Legionnaires is a disease caused by the bacteria Legionella pneumophilia present mostly in aquatic environments. The first outbreak of this disease was recognized in 1976 in Philadelphia and the most recent one in July 2019 in Atlanta. Diagnosis of the disease isn’t early and thus need to be prevented by regular treatment. Treatment of water […]

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Biogeocemenation of a Coal Mine Tailings Pond

A decommissioned mine facility in Canada is looking for a new and innovative way to handle mine waste and reclaim the mine site. The potential solution to this problem is the use of microorganisms which are capable of producing calcite, or cement, as part of their natural biological process. These microorganisms will be combined with […]

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Improving Operational Resource Efficiencies through the Application of Model-Based Reinforcement Learning (MBRL)

Reinforcement learning (RL) is the problem of designing an agent that interacts with its environment and adaptively improves its long-term performance. Many complex real-world industrial decision-making problems can be formulated as an RL problem. RL is at the core of artificial intelligence and has the potential of having a huge impact on our economy and […]

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GeneVa – Computing Metaoblic Valves on a Genetic Level

Bioprocesses are indispensable for the sustainable production of high value chemical compounds from renewable feedstock. In many processes, genetically engineered strains with a modified metabolism are used. Boosting the performance of such a production host can be essential to make a bioprocess profitable. Computational strain design provides methods to identify interventions in the microbial metabolism […]

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Advancing municipal natural asset management through monitoring & engagement

Canadian local governments are seeking new strategies to deliver their core services in more financially and environmentally sustainable ways, including turning to infrastructure asset management as a key tool to manage infrastructure. Municipalities are increasingly recognizing that natural assets such as aquifers, forests, streams and foreshores can provide equivalent or better services to many engineered […]

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Optimized Design of Building-Integrated Photovoltaic Sunshades

The proposed project involves the creation of a computational framework to optimize the design of building integrated photovoltaic sunshades. Such shades would allow improved lighting conditions within the indoor environment, while generating power through the photovoltaic panels. The design framework takes in design constraints such as the allowable size of the shade, the location and […]

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A New Way Forward: Using Biocultural Approaches to Conservation in Key Biodiversity

Canada is a signatory to global conservation agreements to increase the number and coverage of protected areas in the country. Key Biodiversity Areas (KBAs) are a science-based planning tool that can help governments, industry, environmental groups and Indigenous Nations target the right places to protect in terms of habitat for wildlife and to ensure these […]

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Meta-information Extraction from Large-scale Streaming News for Entity-level Media Intelligence and Reporting

Gnowit is an Ottawa-based information services company that employs artificial intelligence and machine learning to automate the process of monitoring web sources at scale to provide real-time briefings and notifications for the purposes of competitive intelligence, evidence-based policy research and media monitoring. The company currently monitors more than 40 thousand web sources and generates atleast […]

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Meta-information Extraction from Large-scale Streaming News for Entity-level Media Intelligence and Reporting – Year two

Gnowit is an Ottawa-based information services company that employs artificial intelligence and machine learning to automate the process of monitoring web sources at scale to provide real-time briefings and notifications for the purposes of competitive intelligence, evidence-based policy research and media monitoring. The company currently monitors more than 40 thousand web sources and generates atleast […]

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