Advanced Security Mechanisms for Autonomous Vehicles

Autonomous vehicular applications require the distribution of high volume of information-rich and safety-critical data among heterogeneous players. Autonomous vehicles (AV) communicate with each other and the world around them in high mobility manner under poor connectivity and tough signal propagation. Attacking AVs are applicable business and cyber-attacks can affect the AV industry and cause severe damages to individuals and organizations.

Schools as Potential Sites of Prevention & Intervention for Youth Homelessness

Youth homelessness exists across Canada and schools represent one site of interaction with youth who are homeless or who are at risk of homelessness. Decreasing the number of homeless young Canadians means the implementation of innovative, youth-informed practices and policies within institutions, services, and places throughout communities that serve as points of interaction with homeless and at-risk youth (such as schools).

Rapid Operations Planning for Space Robotics Using Machine Learning

Few things in space flight are routine. Before each time MDA operates the International Space Station’s famous Canadarm2, thousands of simulations must be performed to ensure the success and safety of the operation. This research intends to streamline the process of operations planning for Canadarm2 by using machine learning to predict key outputs from these simulations. If a particular case appears problematic, the algorithm can suggest why and allow MDA to focus their efforts on preventing the issue without having to perform a lengthy analysis of all possible cases.

Ice Hazard Drift Model Study III

Massive drifting icebergs frequently threaten offshore operations on the Grand Banks because of their massive size, and great mechanical strength. These ice hazards move erratically which complicates efforts to modify their trajectory or undertake evasive action. This MITACS project aims to improve security of offshore workers and help protect wildlife and the environment by allowing more accurate prediction of short-term iceberg drift. The funding partner, ASL Environmental Sciences, will benefit through improved capability to provide world-class services to their clients.

P4 SDN testbed integration

The research will consist of exploring a new language as well as a new paradigm shift in the orchestration and analytics involved in operating a Fiber optical infrastructure equipped with IP routers and Computers. These computers will be equipped with programmable devices that will allow further instructions and detailing about the next generation of internet’s emerging services. These services require more automation and more analytics to become more adaptive if not autonomous. We will research how autonomous can these networks get by involving this new programmable language called P4.

Peer Information and Substance Use Decision Making in Street-Involved Youth

This research aims to learn more about the way that homeless and street-involved evaluate information regarding substance use from their peers. To this end, this research team will work with Operation Come Home, a non-profit organization supporting homeless and at-risk youth in downtown Ottawa. The research team will recruit and interview 40 – 50 youth at Operation Come Home to assess a number of factors relating the way that they evaluate peer information regarding drug use.

The Geography of Capacity--An Analysis of Individual, Organizational and Community Needs and Resources in Three Communities in Canada

This research presents a conceptual model of the geography of capacity and explores, through a small-scale study, the experiences of capacity across the nonprofit sector at the individual, organizational and community level in three different locales in Canada.

Using machine learning to investigate sympathetic activation of the autonomic nervous system during treatment of mild traumatic brain injury, chronic pain and post-traumatic stress disorder

The goal of the proposed research project is to further our understanding and clinical management of Canadian Forces service members and Veterans suffering from a complex medical triad of traumatic brain injury, chronic pain, and post-traumatic stress disorder. Over half of rehabilitation patients experience one or more of these complex medical conditions, often associated with intractable symptoms which do not respond to traditional treatment options, and impairing their ability to function effectively at work and in the community.

Building Resilience into Canadian Housing

Resilience is toughness, or the ability to function and bounce back after a traumatic event. In this Mitacs research project, the focus is on housing, and resilience results from features that protect Canadian lives and property from natural disasters. One of the ways that governments ensure the safety of Canadians is through The Canada Model Building Code. The insurance industry is also committed to protecting lives and property by contributing advice about resilience in Building Code Review Committees.

Model-Aided Performance Analysis from System Traces

System performance can be analyzed by measuring its operation, and by studying a performance model. Each has advantages: measurements have fidelity to the actual system, while models have predictive power. This work will join the two approaches, by creating a model from data collected from traces. If successful, this model will help Ciena to understand performance issues, and to maintain or improve performance as the system evolves.

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