Experimental Fluid Mechanics (EFM) software development

In this research endeavor, our goal is to develop user-friendly software tailored for scientists and engineers specializing in the study of fluid dynamics, particularly within oceanic contexts. Imagine it as an adaptable and comprehensive toolkit designed to simplify their intricate experimental tasks. Initially, we will meticulously craft the software, prioritizing ease of use and efficiency. […]

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Design and Analysis of a Platform to Connect Patients, Providers, and their Social Networks

The healthcare system in Canada and world-wide is suffering increased pressure due to an aging population and increased rates of chronic disease. Research shows that self-management and social networks are key indicators for reducing utilization and cost and improving outcomes of healthcare systems. Lifeguard Health Solutions Inc. has developed a mobile health application that uses […]

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Targeting TRAF1 in psoriatic arthritis

There is no cure for psoriatic arthritis (PsA) and current treatments aim at reducing inflammation, slowing the progression of the disease, and avoiding severe damage to the skin and joints. Immune cells contribute to inflammatory cascades in the joints and the skin that produce inflammatory cytokines and lead to severe tissue damage. Current therapies are […]

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Hover BSI Internshpi

Hover seeks to recruit an intern to aid in the evaluation and enhancement of Drone Delivery within Canada. This internship plays a vital role in fostering the growth of the industry within the country. Should the minimum viable product (MVP) demonstrate a favorable response, it will pave the way for the advancement of this novel […]

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Biomolecular Structure Analysis to Accelerate Development of New Vaccines and Monoclonal Antibodies

Manufacturing of consistently high quality products is the commitment of pharmaceutical industry. To achieve this, new products must be thoroughly tested and the results meet government-approved product specifications. Improving existing and adopting improved analytical technologies for product testing ensure the production of safe and effective products. This is particularly critical for the manufacturing of biologic […]

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Applications of machine learning to improve hydrological model regionalisation

Hydrological streamflow models are commonly used to warn populations of extreme events. The parameters of these models are typically calibrated to observed streamflow. The learned parameters can then be transferred to areas that are lacking streamflow observations, a process referred to as regionalisation. This project builds on previous work, which proposed using machine learning models […]

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Optimization Methods for Generalized Covariance Estimator with an Application to Cryptocurrency

This research project aims to enhance estimators for nonlinear dynamic models with non-Gaussian errors. Objectives include improving the semi-parametric GCov estimator by addressing numerical challenges and proposing an optimized algorithm. Adjustments to the objective function will handle sparsity and singularity issues in big data applications. The project will apply the GCov estimator to analyze the […]

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Human well-being, ecosystem services and watershed management in the Credit River Valley: Web-distributed mechanisms and indicators for communication and awareness

The importance of ecosystem services to human well-being, and of management of water and other watershed resources in maintaining such services, is not commonly understood by the general public, and not well-enough articulated by environmental management and governance organizations. Beneficiaries of such services are often unaware of the nature of their dependence upon supporting ecosystems. […]

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Developing an electrochemical sensor using in-situ synthesis of a stand-alone MIP membrane for bacteria detection in water

In this project, a microfluidic sensor will be developed for bacteria detection in water. The microfluidic device enables in-situ synthesis of molecularly imprinted polymer (MIP) membranes with bacteria imprinted cavities. The sensor works based on bounding the target bacteria to the MIP membrane, thereby altering the electrochemical signal which will be measured using in-situ fabricated […]

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