Simultaneous Localization and Mapping (SLAM) Technique for Autonomous Operation of Mining Robots

This project proposes an application of Fuzzy-Evolutionary Simultaneous Localization and Mapping (SLAM) algorithm for autonomous navigation of mining robots in underground mines. This project aims to develop techniques that are useful for mining automation activities, particularly for infrastructureless navigation of load-haul-dump vehicles and drilling equipment. The intern will use current equipment facilities available with the intelligent systems group at C-CORE to collect data and to validate the proposed SLAM algorithm.

Geostatistical Modelling of Variability and Uncertainty for Natural Attenuation at Upstream Oil & Gas Contaminated Sites

The intern will work on quantifying inherent uncertainties associated with natural attenuation of organic contaminants at upstream oil and gas contaminated sites. Uncertainty and variability in parameters such as hydraulic conductivity, biodegradation rate constant and spatial distribution of the source of contaminants may lead to highly uncertain results to be obtained from routine fate and transport models. Thus, there is a need to quantify these uncertainties and study their impact on the predicted plume size and clean up time.

Comparison of Toyota Prius Plug-in version Field Tests to Renewable Energy Vehicle Simulator Predictions

Several vehicle component modules will be developed as part of this project to validate if the proposed approach can be used to develop a comprehensive vehicle simulator that can meet expected design criteria. The proof-of-concept simulator will be developed to be able to address all requirements. Furthermore, the proposed vehicle simulator libraries will be developed to enable the use of the simulator to model various vehicle configurations, including plug-in hybrid in parallel configuration.

Constraint Programming based Column Generation for Employee Timetabling

Employee timetabling problems form a large class of widely-encountered issues in service organizations. Often, the issue lies in the design of work shifts, which often have to satisfy many complex regulatory constraints coming from legislation and contractual agreements. The client, Omega Optimisation, was looking for a unified and flexible solution for these shift scheduling problems which address legal issues, activity requirements and labour costs.

Characterization and Prediction of Cancer Drug Resistance Markers Based on Data Mining of Microarray Profiles

The internship will concern studying the role and impact of specific proteins (in particular tubulin) in cancer, and the identification of prognostic markers of cancer progression and predictors of cancer response to existing and new compounds (mainly based on microarray data analysis and protein structure prediction).

A Mathematical Model Describing the Dissociation of Natural Gas Using Non-thermal Plasma at Atmospheric Pressure

Non-thermal atmospheric pressure plasmas have been studied for a variety of industrial applications such as pollution control, volatile organic compounds (VOCs) removal, car exhaust emission control and polymer surface treatment. For decades, non-thermal plasmas have been used to generate ozone for water purification. Non-thermal plasmas may be produced by a variety of electric discharges or electron beams. The basic feature of these technologies is that they produce plasmas in which the majority of the electrical energy goes into the production of energetic electrons.

A Hierarchic Parametric Geometric Modelling for Aerodynamics Shapes

Bombardier Aerospace, a world-leading manufacturer of innovative transportation solutions, from regional aircraft and business jets to rail transportation equipment, is interested in technology developments that improve aerodynamic design methods. One of their objectives is to improve the process in which aerodynamic parameters are introduced within the optimization process to facilitate the application of geometric and aerodynamic constraints.

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