Modelling Trading and Risk in the Market
Dr. Matt Davison, University of Western Ontario
Traders in both financial markets and commodity markets must make educated decisions about when to trade and at what price; this project develops tools to assist with this decision-making process. Working with energy companies, financial software companies as well as companies from the banking and insurance sectors, the research team develops optimal portfolio methods that produce both the best investment decisions and the best hedging strategies for claims in general markets.
Alexander von Humboldt Stiftung Foundation[/url]
CSS Analytics
Property and Casualty Insurance Compensation Corporation of Canada
Understanding and Mitigating Malicious Activity in Networked Computer Systems
Dr. Paul C. Van Oorschot , Carleton University
Complex Adaptive Networks for Computing and Communication
Dr. Michel Barbeau , Carleton University
Fusion and Inference in Surveillance Networks
Dr. Mark Coates, McGill University
With the widespread deployment of networked sensors and cameras throughout cities, there is an incredible opportunity for improving safety and security. Surveillance networks incorporate cameras mounted on traffic lights and overpasses, mobile cameras attached to emergency vehicles, and chemical and biological sensors for detecting dangerous contaminants. Surveillance networks can comprise several thousand sensors and cameras throughout a city.
