Understanding and Mitigating Botnet Threats

A botnet is a generic term used to describe a network of machines infected and controlled remotely without their rightful owners' knowledge. The current generation of bots (i.e. Storm Botnet) leverages fairly complex command and control (C&C) systems using existing Peer-to-Peer (P2P) overlay network structures. Thus, chasing down botnet C&C structures has become a futile exercise.

Optimization of the drilling process of a multilayer material composed of CFRP/Aluminum/Titanium

This project is in partnership with CRIAQ. The drilling process of multilayer material (CFRP/Aluminum/Titanium) needs to be studied in terms of the resulting quality of produced parts but also in terms of cost considering cutting tool life and time of operation. For the quality aspect, the responses measured include the evaluation of tool wear, delaminating factor Df with cracks and thermal affected matrix estimation, the surface roughness as well as the dimensional and geometric errors of the given trimmed features.

Scheduling and sequencing airport ground handling operations

Operations research and optimization techniques are common throughout the airline industry; however, comparable tools are not yet in use for ground handling operations. This research project with Omega Optimisation, developers of Optime™ - a system for automating and optimizing critical workforce management processes, will study and propose methods for the automatic planning of aircraft-maintenance procedures.

Development of game schedules for university sports in Quebec

This project aims to develop mathematical models, resolution algorithms, and a decision support tool for the development of game schedules for university sports in Quebec such as football, soccer, volleyball and basketball.

Real-time Supervision of Electric Arc Duration in a High Voltage Circuit Breaker Based on the Analysis of Electromagnetic Emissions

The detection of a power circuit breaker's operation through measuring electromagnetic emissions produced by the arc in the interruptor tube is a promising method for ensuring the remote supervision of these devices and for identifying operation faults before they lead to an explosion. Project researchers will develop an algorithm to determine computationally the position of the faulty interruptor tube. This algorithm will use as inputs a minimal number of measure points and will have to deduce the position based on the signals' arrival times at each of the measure points.

Development of a Space-time Finite Element Formulation for fast AC Loss Calculation in High Temperature Superconductors

The intern will develop a new space-time finite element formulation to solve steady state problems involving high temperature superconductors in order to evaluate rapidly the losses in a given application. This space-time formulation will also be coupled to a mesh adaption program used to refine the solution only where it is really necessary. This formulation is expected to be advantageous over current formulation since it will avoid using very fine spatial and geometric discretization in the entire simulated domain.

Laser Camera Data Processing Algorithms

This project involves the modelling and implementation of algorithms using data collected with a laser triangulation camera. This camera is used to produce highly precise three-dimensional measurements inside rooms. It is activated manually or through a mechanical arm and takes measurements along three orthogonal axes.

Developing Microkinetics Oxidation Models

The emissions of NOx and SO2 are subject to increasingly severe environmental regulations. In an effort to reduce the amount of NOx and SO2 emitted by DuPont’s industrial facilities, the intern will develop new capabilities in NOx and SO2 absorption modeling. During the project, the intern will begin by learning the ChemKin™ software, which he will apply to simulate the absorption of NOx and SO2 into caustic. Caustic is a liquid solution currently used to “clean” exhaust gases from NOx and SO2 in wet scrubber equipment.

Stochastic Modelling of Pre-sales and Network Request Provisioning Sub-processes at Bell Canada

The objective of this project is to contribute a quantitative framework for analyzing potential inefficiencies of current practices at Bell Canada in the early stages of telecommunication service provisioning, particularly pre-sales and network request sub-processes. Models of these processes incorporating randomness are to be estimated from past data and utilized as a basis for efficiency improvement using both simulation and analytical optimization tools.

Lie Algebra Image Processing Applied to Intrinsic Optical Imaging

Optical imaging and the underlying image analysis has seen tremendous progress in recent years. Although it is now possible to perform multi-modal acquisition, the analysis frameworks for multi-modal data remain elusive. For example, the different scales and resolutions at which the images are taken require the use of mathematical techniques to deform, analyze and co-register images in a coherent framework. In parallel, J. Patera and his research group have, over the last few years, developed new Lie Algebra-based techniques to process images and perform continuous operations on them.