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Technology

Project Leader(s): 

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

Project team: 
Dr. Jonathan Borwein, Dalhousie University
Dr. Peter Borwein, Simon Fraser University
Dr. Petr Lisonek, Simon Fraser University
Dr. Marni Mishna, Simon Fraser University
Dr. Mark Giesbrecht, University of Waterloo
Dr. Arne Storjohann, University of Waterloo
Dr. Rob Corless, University of Western Ontario
Dr. David Jeffrey, University of Western Ontario
Dr. Marc Moreno Maza, University of Western Ontario
Dr. Greg Reid, University of Western Ontario
Dr. Eric Schost, University of Western Ontario
Dr. Stephen Watt, University of Western Ontario
Dr. Jacques Carette, McMaster University
Dr. Howard Cheng, University of Lethbridge
Dr. Wayne Eberly, University of Calgary
Non-academic participants: 
Funding period: 
February 25, 2022 - March 31, 2021

Computer algebra systems such as Maple compute using mathematical formulae as well as numbers, mechanizing the mathematics used in education and research labs. This project focuses on the design and implementation of algorithms for these systems. Emphasis is placed on efficiency that allows large and complex problems of the type encountered in industrial settings to be solved. In the past year the team has made major advances in the core tools that are needed to solve these complex problems.

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. François Soumis, (École Polytechnique de Montréal)

Project team: 
Dr. Guy Desaulniers Guy, (École Polytechnique de Montréal)
Dr. Pierre Baptiste, (École Polytechnique de Montréal)
Dr. Jacques Desrosiers, (HEC Montréal)
Dr. Alain Hertz, (École Polytechnique de Montréal)
Dr. Sophie D’Amours, (Université Laval)
Funding period: 
April 1, 2021 - March 31, 2021

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. For instance, transit authorities perform bus scheduling followed by daily and monthly driver scheduling; airlines perform aircraft scheduling followed by crew pairing and monthly crew scheduling; and manufacturing companies address manpower scheduling before production scheduling. Such a sequential approach for management was introduced a long time ago when solutions were computed manually.

Project Leader(s): 

Dr. Wolfgang Heidrich University of British Columbia

Project team: 
Dr. Lorne Whitehead, University of British Columbia
Dr. Boris Stoeber, University of British Columbia
Non-academic participants: 
Funding period: 
April 1, 2021 - March 31, 2021

The power of human vision to process wide ranges of intensities far exceeds the abilities of current imaging technology. Both cameras and displays are currently limited to a contrast, or dynamic range, of between 300:1 to 1,000:1, while humans can process a simultaneous dynamic range of 50,000:1 or more. As a result, there has been a push to develop high-dynamic range (HDR) display and camera hardware and the supporting algorithms. In the past year, the team has worked closely with industrial sponsor Dolby Canada on a range of topics in HDR imaging and display.

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. Holger H. Hoos , University of British Columbia

Project team: 
Dr. Kevin Leyton-Brown, University of British Columbia
Non-academic participants: 
Funding period: 
April 1, 2021 - March 31, 2021

Algorithms for solving difficult computational problems play a key role in many applications, including scheduling, resource allocation, computer-aided design, and software verification. In many cases, heuristic methods are the key to solving these problems effectively. However, the design of effective heuristic algorithms, particularly algorithms for solving computationally hard problems, is a difficult task that requires considerable expertise.

Project Leader(s): 

Dr. Frédéric Sirois, École Polytechnique de Montréal

Project team: 
Dr. Marc Laforest, École Polytechnique de Montréal
Dr. Steven Dufour, École Polytechnique de Montréal
Dr. Mohamed Farhloul, Université de Moncton
Funding period: 
1 April 2021 - 31 March 2021

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.