Innovative design of a sound numerical model calibration process: from lab tests to input data

Geomechanica Inc. develops simulation software (Irazu) for rock engineering applications. This numerical software has been used in several peer-reviewed research publications in the rock mechanics field. A key challenge in the numerical modelling of rock masses is the selection of appropriate input parameters. The objective of this work is to develop a solution to streamline […]

Read More
Processes Governing Hydrocarbon Movement in Heterogenous Soils

Groundwater contamination by hydrocarbon fuels such as gasoline and diesel fuel is a serious threat to the environment and human health. Sources of this contamination include leaking underground storage tanks, pipleline breaks, tanker truck accidents and train derailments. There is a need for improved understanding of the mobility of hydrocarbon fuels in the subsurface to […]

Read More
Identifying Fraudulent E-Commerce Behaviour via Robust Anomaly Detection

The objective is to develop a real-time fraud detection algorithm for a large E-commerce company based on construction of a robust reference model from normal multivariate data. To accomplish this, we propose to leverage machine learning techniques, such as reinforcement learning, in combination with stochastic modeling techniques such as Hidden Markov Models, to provide both […]

Read More
Molecular mechanism of action of anti-fibrotic antibodies

Significant advances in technologies related to antibody discovery and development have allowed therapeutic antibodies to become the fastest growing class of biopharmaceuticals over the last 20 years. Northern Biologics is a biotechnology company that seeks to develop therapeutic antibodies for the treatment of cancer and fibrosis. Together with Dr. Jean-Philippe Julien at SickKids (University of […]

Read More
Modeling and Analytics for Big Data Applications

It has always been challenging to manage data at large-scale as there are no standards and best practices currently available for modeling and analysis of data. Currently available solutions rely on limited information and are confined to manual processing which makes the process of data handling and management slow, inefficient and hard. This makes modeling […]

Read More
Expanding the capabilities of a neurosurgery software platform to provide clinical solutions for advanced spinal cord imaging and intra-operative guidance

Pathologic changes that occur in the cervical spinal cord as a result of injury and disease are not well characterized with current clinical imaging techniques. Synaptive Medical has recently developed a suite of innovative medical imaging products focused on the brain and image-guided neurosurgery. They are interested in investigating the potential application of these technologies […]

Read More
Benchmarking and improving the energy efficiency of water distribution systems

Water and wastewater utilities typically represent the single largest municipal consumer of electricity. Previous studies have shown the potential to significantly reduce this use through infrastructure and operational improvements, particularly for water distribution. The proposed research seeks to validate and expand the application of energy metrics, developed by the applicant, that describe how energy is […]

Read More
Novel Biomarker Identification for Human Cytomegalovirus Disease in Transplant Patients

Organ transplants save patients with severe end stage organ failure but the need for subsequent lifelong immunosuppression can lead to a number of undesired consequences including the reactivation of viruses of donor or recipient origin. Human cytomegalovirus (HCMV) infection is the most common opportunistic infection in transplant patients and can lead to significant morbidity and […]

Read More
High Bandwidth Biometrics Data Hosting and Analytics in Cloud-based Storage Systems

Cloud hosting environments include large scale distributed storage systems. With the advent of Big Data, especially newer biomedical and biometrics data, collected from wearable monitoring devices, there is a high need for Cloud-based solutions for large scale storage and high bandwidth on-the-fly data analysis for such data. A key problem for IT companies that collect […]

Read More