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Project Leader(s): 

Dr. Karan Singh , University of Toronto

Project team: 
Dr. Ravin Balakrishnan, University of Toronto
Dr. Eugene Fiume, University of Toronto
Dr. Pierre Poulin, Université de Montréal
Dr. Alla Sheffer, University of British Columbia
Dr. Michiel Van de Panne, University of British Columbia
Dr. Richard Zhang, Simon Fraser University
Funding period: 
April 1, 2021 - March 31, 2021

How quickly and effectively a designer can transform a mental concept into a digital object that is easy to refine and reuse is a central challenge in computer graphics. The focus of this project is, therefore, to develop new mathematical representations, or build upon existing ones, to capture the essence of shape as perceived by designers. In the past year, a freeware software program, Shapeshop, which was developed by the project team was released for download.

Project Leader(s): 

Dr. Mike Kouritzin , (University of Alberta)

Project team: 
Andrew Heunis, (University of Waterloo)
Bruno Remilard, (HEC Montreal)
Douglas Blount, (Arizona State University)
Pierre Del Moral, (Universite Pal Sabatier)
Jie Xiong, (University of Alberta)
John Bowman, (University of Alberta)
Donald Dawson, (University of Toronto)
Edit Gombay, (University of Alberta)
Jack Macki, (University of Alberta)
Thomas G. Kurtz, (University of Wisconsin at Madison)
Yau Shu Wong, (University of Alberta)
Laurent Miclo, (Universte Paul Sabatier)
Funding period: 
February 25, 2022 - March 31, 2021

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.

Project Leader(s): 

Dr. Irène Abi-Zeid , Université Laval

Project team: 
Dr. Belaïd Aouni, Laurentian University
Dr. Luc Lamontagne, Université Laval
Dr. Pascal Lang, Université Laval
Dr. Patrick Maupin, Defence R&D Canada
Dr. Bruno Urli, Université du Québec à Rimouski
Non-academic participants: 
Funding period: 
October 1, 2021 - March 31, 2021

Route planning is a complex task which has many applications in the civilian and military worlds. 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. The team will study the process of selecting a path for a vehicle to follow through friendly or unfriendly terrain based on multiple constraints and criteria.

Project Leader(s): 

Dr. Steven Easterbrook, (University of Toronto)

Project team: 
Dr. Marsha Chechik, (University of Toronto)
Dr. Mehrdad Sabetzabeh, (University of Toronto)
Dr. Shiva Nejati, (University of Toronto)
Non-academic participants: 

Bell Canada University Labs,  IBM Canada for Advanced Studies

Funding period: 
April 1, 2021 - March 31, 2021

Reactive Systems are formal systems that cause events in the physical world, in reaction to a set of monitored inputs. Examples include control systems for aircraft, medical devices, industrial processes, and consumer appliances. In many of these examples, safety (and often security) of the system is of paramount importance. To say anything at all about whether such a system is safe or secure, one has to be able to predict its behavior under the conditions that the system may encounter in use.

Project Leader(s): 

Dr. Guy Lapalme, Université de Montréal

Project team: 
Dr. Philippe Langlais, Université de Montréal
Dr. Pascal Vincent, Université de Montréal
Fabrizio Gotti, Université de Montréal
Non-academic participants: 
Funding period: 
April 1, 2021 - March 31, 2021

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.

Project Leader(s): 

Dr. François Soumis, Unversité de Montréal

Funding period: 
April 1, 2021 - March 31, 2021

To create a flight plan is to determine the path, altitude, and speed an airplane will use during its flight. This plan must be submitted to regulatory authorities before takeoff and updated throughout the flight. Increasing fuel costs give an added importance to these decisions. New policies offering an increased flexibility in choosing paths and new information systems giving access to more complete and up-to-date weather information pave the way for productivity gains for air carriers.

Project Leader(s): 

Dr. Binay Bhattacharya , Simon Fraser University

Funding period: 
February 25, 2022 - March 31, 2021

Efficiency in modern industrial operations requires that available resources are deployed in an optimal manner. The study of facility location is concerned with the placement of one of more facilities in a way that meets a particular objective, such as minimizing transportation costs, providing a high level of service to customer or capturing market share. 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.