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Welcome to the Office of Graduate Studies & Postdoctoral Fellows

Future Students

Our internationally recognized graduate programs will expand your intellectual horizons, strengthen your skill set and enhance your professional network.

Current Students

We are here to help you complete your graduate program and acquire the necessary skills for success after graduation.

Student's researching

Upcoming Events

  • ENSC MASc Thesis Defence Ryan Goldade
    10:00 AM - 1:00 PM
    July 29, 2014
    TOWARDS REAL-TIME SEA-FLOOR SURFACE RECONSTRUCTION AND CLASSIFICATION USING 3-D SIDE-SCAN SONAR This thesis presents a computer algorithm to solve two major hurdles for generating real-time automated sea-floor maps with composition classification using 3-D sidescan sonar data. The algorithm consists of two distinct parts: sea-floor profiling and sea-flooring classification with computation acceleration from a graphics processing unit (GPU). The sea-floor profiling algorithm is an automated method that identifies bathymetry data corresponding to the sea-floor while ignoring bathymetry corresponding to water column objects and multi-path returns. The algorithm improves upon a fuzzy curve tracing method to handle discontinuities in the point-cloud data along the sea-floor and to discriminate between the sea-floor and other data. With an average error of 2.6% and a computation time of 7.40ms, the sea-floor profiling algorithm is extremely accurate and efficient. Classification of the sea-floor regions consists of applying image texture methods and machine learning classifiers to side-scan sonar images. In this thesis, a feature space for each side-scan sonar image pixel is created using image texture analysis algorithms, and classified with an artificial neural network. The accuracy and performance of the algorithm is tested with side-scan sonar images from the Underwater Research Lab’s Pam Rocks sonar survey. Real-time classification was achieved by the use of GPU computing. Porting the algorithm onto the GPU using OpenCL reduced the per-ping computation time to an average of 100ms, with an average error of 3.4%, making it a viable real-time solution in a sonar system.
  • Jenny Benoit, MA Project Defence, Criminology
    10:00 AM - 1:00 PM
    July 29, 2014
    Senior Supervisor: J. Bryan Kinney Project Paper Title: Assessing Security Threats to Canada’s Energy Infrastructure: The Enbridge Northern Gateway Pipeline Abstract: Safe and secure critical infrastructure is essential for the functioning of Canada's society. A robust system of infrastracsture allows Canada to be a leader on the world stage but also presents potential security risks. Using open source data, this paper identifies why energy infrastructure is the ideal target for malicious attack and includes a focus on the proposed Enbridge Northern Gateway pipeline. Using the Harmonized Threat and Risk Assessment Methodology to perform a risk based analysis, the likelihood of an attack on the Northern Gateway was assessed. A risk rating of low to medium was found, with a variety of vulnerabilities and possible threat actors identified. Location: Faculty Conference Room, SWH 10121
  • Xin Yang, M.Sc. Thesis Defence, Mathematics
    10:30 AM - 12:30 PM
    July 29, 2014
    (Sr. Supervisor: Paul Tupper) Title: Modelling and Numerical Method for State-Dependent Diffusions Abstract: When modelling diffusive systems with stochastic differential equations, a question about interpretations of the stochastic integral often arises. We show that given only the diffusion coefficient, for a diffusive system without external force, the system is underdetermined using simulations of random Lorentz gas. By varying one free parameter, the prediction from different interpretations can hold true. However, for a diffusive system satisfying detailed balance condition, we show that it is uniquely determined by the equilibrium distribution in addition to the diffusion coefficient. We propose an explicit method for simulating stochastic differential equations in this formulation. Our numerical scheme introduces Metropolis-Hastings step-rejections to preserve the exact equilibrium distribution and works directly with the diffusion coefficient rather than the drift coefficient. We show that the numerical scheme is weakly convergent with order 1/2 for such systems with smooth coefficients. We perform numerical experiments demonstrating the convergence of the method for systems not covered by our theorem, including systems with discontinuous coefficients.
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