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Project Leader(s): 

Dr. Anthony Vannelli, University of Guelph & Dr. Miguel F, AnjosEcole Polytechnique

Project team: 
Dr. Abdo Youssef Alfakih, University of Windsor
Dr. Kankar Bhattacharya, University of Waterloo
Dr. Claudio A. Canizares, University of Waterloo
Dr. Richard J. Caron, University of Windsor
Dr. Thomas Coleman, University of Waterloo
Dr. Tim N. Davidson, McMaster University
Dr. Antoine Deza, McMaster University
Dr. Samir Elhedhli, University of Waterloo
Dr. David Fuller, University of Waterloo
Dr. Elizabeth Jewkes, University of Waterloo
Dr. Paul McNicholas, University of Guelph
Dr. Chitra Rangan, University of Windsor
Dr. Tamás Terlaky, Lehigh University
Dr. Stephen Vavasis, University of Waterloo
Dr. Henry Wolkowicz, University of Waterloo
Dr. Guoqing Zhang, University of Windsor
Funding period: 
April 1, 2021 - March 31, 2021

Due to the explosive growth in the technology for manufacturing integrated circuits, modern chips contain millions of transistors. Using sophisticated optimization algorithms, it is possible to achieve notable increases in the performance of the chips, reduce the manufacturing costs, and produce faster, cheaper computing for society. Thus, the objective of this project is to enhance the solution of large-scale optimization problems arising in these applications.

Project Leader(s): 

Dr. Paul C. Van Oorschot , Carleton University

Project team: 
Dr. Marsha Chechik, University of Toronto
Dr. Scott Knight, Royal Military College of Canada
Dr. David Lie, University of Toronto
Dr. Anil Somayaji, Carleton University
Dr. Mohammad Zulkernine, Queen's University
Funding period: 
April 1, 2021 - March 31, 2021
Project Leader(s): 

[url=mailto:[email protected]]Dr. Laurent Briollais[/url] , University of Toronto

Project team: 
Dr. Gary Bader, University of Toronto
Dr. Adrian Dobra, University of Washington
Dr. Hélène Massam, York University
Dr. Hilmi Ozcelik, Samuel Lunenfeld Research Institute
Non-academic participants: 

[url=]Genizon Biosciences Inc.[/url]

[url=]Wolfram Research[/url]


[url=]Translational Genomics Research Institute[/url]

Funding period: 
1 April 2021 - 31 March 2021

Graphical models have been one of the most efficient statistical tools used in the last twenty years for the analysis of complex structured high-dimensional data. Graphical models provide a probabilistic framework for making inference and representing the knowledge that we have about these complex structured data. In biological research and more particularly in the emerging -omics disciplines such as genomics, proteomics, metabolomics, transcriptomics, data are often generated from complex high throughput experiments and from complex experimental designs.