Macros can greatly enhance the capabilities and convenience provided in documents. They also invite adversaries to include malicious code in lure documents, often used as initial access into a user’s environment. This project will extract and analyze macros and determine their indent and potential for malicious code execution. Reducing time to response through malicious code […]

In today’s world, organizations protect themselves and their customer’s data through the implementation of complex cybersecurity solutions composed of many different nodes, each generating constant streams of data. Building reports from this data through the calculation of various metrics can provide much needed visibility into the state of the environment. However, building such reports can […]

Malicious websites in general, and phishing websites in particular, attempt to mimic legitimate websites to trick users into trusting them. The goal of the project is to develop algorithms for detecting these malicious websites in two contexts: • detecting if a site visited by a user is a malicious site • detecting malicious sites that […]

Most collaborations and government departments share their threat data feed in Data Exchange. Inescapably, nowadays with increasing threat data, it is a challenge to extract a large amount of threat data and unify the format more quickly. And as more and more companies join in sharing, the redundancy of this duplicate data will increase dramatically. […]

Nuclear power currently provides approximately 50% of Ontario’s electricity. Operation of nuclear power plants produces a variety of radioactive waste. In particular, low-level radioactive waste makes up about 95% of total non-fuel waste volumes. To reduce volume, low-level materials must be sorted to determine if their radioactivity has sufficiently decayed and they can be safely […]

Photonic integrated circuits allow the computations required for artificial neural networks to be performed using light. By doing so, they obviate many of the challenges associated with electronic computers, paving the way to a new class of information processing hardware. Such hardware could help address the growing demand for machine learning and artificial intelligence in […]

Due to the recent 4th industrial revolution, manufacturing systems have become intelligent with the fusion of the industrial internet of things (IIoT) and cloud computing. To improve the reliability and availability of intelligent manufacturing systems, data-driven fault diagnostic methods have been paid much attention due to numerous data obtained from the manufacturing systems. Among data-driven […]

The allergen inhalation challenge model is an important research technique for asthma drug development, and has been used for many years by the AllerGen CIC consortium of Canadian investigators in their evaluations of new asthma therapies. An alternate nebulizer is needed for performing inhaled allergen challenges, and this device needs to be tested for its […]

Cultural eutrophication, the excess input of nutrients by humans to waterbodies, is one of the biggest global threats to aquatic ecosystem health. Effective management of eutrophication requires the identification of nutrient (nitrogen and phosphorus) sources and their relative contributions to an aquatic system. This is difficult, because there can be sources in a single watershed. […]

In this project the intern will preform detailed geological mapping and where available drill core logging at a series of sites of known highly metalliferous shales in the Yukon Territory and Northwest Territories. This will be followed by detailed reflected and transmitted light optical microscopy. Select samples will be further analysed using scanning electron microscope. […]

Imaging of cerebral perfusion (the delivery of blood to a capillary bed in the brain tissue) is significant for diagnosing a variety of diseases. There are multiple challenges associated with perfusion imaging which significantly limits the quality of cerebral perfusion images. I am planning to develop a novel approach of cerebral perfusion magnetic resonance imaging […]

Individuals with post-traumatic stress disorder (PTSD) often struggle to relax, or simply be at ‘rest.’ In particular, recent research has revealed participants with PTSD show hyper-activity across the visual cortex while at rest. Referred to as sensory hyper-activity and disinhibition, altered resting-state patterns are thought to be underlying hypervigilance and re-living sensations clinically, as well […]