Prediction in Interacting Systems
Dr. Mike Kouritzin , (University of Alberta)
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. In 2002-2003, Optovation Inc. was added as a new partner, Lockheed Martin Corp. filed for two new patents and we formed a spin-off company, Random Knowledge Inc. to commercialize our technology in the areas of Network Security, Fraud Detection, and Finance.
Multi-criteria Mission Route Planning for Search, Surveillance and Rescue in Hazardous Environments
Dr. Irène Abi-Zeid , Université Laval
Mathematical Structures for Compositional Modelling of Reactive Systems
Dr. Steven Easterbrook, (University of Toronto)
Bell Canada University Labs,
IBM Canada for Advanced Studies
Integrated Equipment and Personnel Scheduling
Dr. François Soumis, (École Polytechnique de Montréal)
Computational Optics for High Dynamic Range Imaging
Dr. Wolfgang Heidrich University of British Columbia
Multi-format Environmental Information Dissemination
Dr. Guy Lapalme, Université de Montréal
This project will explore new ways of customizing and translating the mass of daily information produced by Environment Canada (EC). This information in digital format is later transformed into weather and environmental forecasts, warnings and alerts that must be broadcast in real-time in at least two languages, in many different formats and in a way that takes location into account.
Flight Plan Optimization System
Dr. François Soumis, Unversité de Montréal
Automated Design of Heuristic Algorithms from Components
Dr. Holger H. Hoos , University of British Columbia
Advanced Finite Element Techniques for Coupled Magnetic and Thermal Problems in Superconductors
Dr. Frédéric Sirois, École Polytechnique de Montréal
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. High temperature superconductors (HTS) are among the most promising technologies to achieve this goal.
Statistical Methods for Complex Survey Data
Dr. Changbao Wu, University of Waterloo
