24 Sept 2010
Mississauga, ON

Connecting Talent in Digital Media
18-22 Jul 2011
Vancouver, BC


ICIAM 2011
12-15 Oct 2010
Sydney, Australia


Discrete Optimization

30 Sept - 1 Oct 2010
Markham, ON


The 2nd Annual Research and Innovation Summit
24-28 Jan 2011
Vancouver, BC


Focus Period: Workshop on Biological Networks and Systems Biology
MITACS MITACS Research Projects Information Processing
Information Processing

The design and application of information technologies for a wide range of sectors – from manufacturing to aerospace and defense and transportation to computing and software – is the focus of this research theme. Projects address such challenges as how to increase the efficiency of chemical production processes, where to situate distribution facilities and equipment to better serve customer demand and how to develop new decision-making systems for airlines which take into account fuel costs, flight paths and aircraft availability.

Theme Leader: Dr. Frank Tompa, University of  Waterloo

 

 

Full Projects
Advanced Parameter Estimation Tools for Building Mathematical Models of Chemical Processes

The team developed a new method for estimating parameters in differential-equation models that describe the time-varying behaviour of chemical production processes.

Project leader: Dr. Kim McAuley, Queen's University

Facility Location Optimization

This project, by exploiting the mathematics of computational geometry and algorithmic graph theory, develops new tools to aid in the location of facilities to optimally serve the demands of customers.

Project leader: Dr. Binay Bhattacharya, Simon Fraser University

High Performance Optimization: Theory, Algorithm Design and Engineering Applications

The objective of this project is to enhance the solution of large-scale optimization problems arising in applications using sophisticated optimization algorithms.

Project leader: Dr. Anthony Vannelli, University of Guelph & Dr. Miguel F, Anjos, University of Waterloo

Mathematical Surface Representations for Conceptual Design

The focus of this project is to develop new mathematical representations, or build upon existing ones, to capture the essence of shape as perceived by designers.

Project leader: Dr. Karan Singh, University of Toronto

Mathematics of Computer Algebra and Analysis

This project focuses on the design and implementation of algorithms for these systems.

Project leader: Dr. Michael Monagan, Simon Fraser University & Dr. George Labahn , University of Waterloo

Statistical Learning of Complex Data with Complex Distributions

The project addresses some of the main practical and theoretical difficulties encountered when dealing with large datasets.

Project leader: Dr. Yoshua Bengio, Université de Montréal

Statistical Methods for Complex Survey Data

This project focuses on developing new tools to address issues which arise during the analysis of complex data including longitudinal data, information which is based on a set of repeated observations of an individual, or group of individuals, over time.

Project leader: Dr. Changbao Wu, University of Waterloo

Seed Projects
Advanced Finite Element Techniques for Coupled Magnetic and Thermal Problems in Superconductors

In industrialized countries, the expansion of power systems has become very difficult. According to power utility consortiums such as CEATI and EPRI, only drastic changes to the current power grid architecture, together with the introduction of new technologies can prevent the high social costs associated with a reduction in reliability of energy supply.

Project leader: Dr. Frédéric Sirois, École Polytechnique de Montréal

Automated Design of Heuristic Algorithms from Components

This project is part of an effort to support human designers and end users of high-performance heuristic algorithms with computational methods (i.e., algorithms) and software tools that automate parts of the design, performance optimisation and evaluation process.

Project leader: Dr. Holger H. Hoos, University of British Columbia

Flight Plan Optimization System

To create a flight plan is to determine the path, altitude, and speed an airplane will use during its flight. This project aims to develop systems to make the best decisions by taking advantage of the latest flexibility and information.

Project leader: Dr. François Soumis, Unversité de Montréal

Multi-format environmental information

This project will explore new ways of customizing and translating the mass of daily information produced by Environment Canada (EC).

Project leader: Dr. Guy Lapalme, Université de Montréal

Past Projects
Computational Optics for High Dynamic Range Imaging

In the past year, the team has worked closely with industrial sponsor Dolby Canada on a range of topics in HDR imaging and display. New real-time image processing algorithms were developed for rendering conventional video content such as DVD or BlueRay streams on HDR displays.

Project leader: Dr. Wolfgang Heidrich University of British Columbia

Integrated Equipment and Personnel Scheduling

The management of transportation and production systems often requires solving a sequence of optimization problems, each problem optimizing the utilization of some resources: equipment, personnel, etc.

Project leader: Dr. François Soumis, (École Polytechnique de Montréal)

Mathematical Structures for Compositional Modelling of Reactive Systems

This project team designed, implemented and assessed new and innovative techniques to improve the efficiency and predictive power of our simulations, hence increasing our understanding of the flow of fluid and gas.

Project leader: Dr. Steven Easterbrook, (University of Toronto)

Multi-criteria Mission Route Planning for Search, Surveillance and Rescue in Hazardous Environments

This project seeks to develop planning tools to aid in planning search and rescue operations while taking into account uncertain factors such as weather, type of terrain, physical feasibility of search pattern, threat levels, desired coverage, risk and survivability considerations.

Project leader: Dr. Irène Abi-Zeid, Université Laval

Prediction in Interacting Systems

This project uses mathematical filtering theory to develop computer tractable real time solutions for incomplete, corrupted information problems. These techniques have proven to be beneficial in defence, communications, media effects, and manufacturing.

Project leader: Dr. Mike Kouritzin, (University of Alberta)