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York University

Project Leader(s): 

Postdoctoral fellow: Dr. Yijun Lou, Mathematics and Statistics, York University

Lead faculty member: Dr. Jane Heffernan, Mathematics and Statistics, York University

Genital herpes (GH), caused by Herpes simplex virus type 1 or 2 (HSV-1 or -2), is one of the most prevalent sexually transmitted diseases in the world. Currently, there is no effective treatment for GH, but a new vaccine Simplirix (by GSK), is currently in clinical trials. Simplirix has had some success in preventing disease, but only in females that are HSV-1 and -2 negative. Since oral herpes (OH, also caused by HSV-1 and -2) infection can occur at very early ages, vaccination against GH may be most effective in a childhood vaccination program.

Project Leader(s): 

Postdoctoral fellow: Dr. Majid Jaberi-Douraki, Mathematics and Statistics, York University

Lead faculty member: Dr. Seyed Moghadas, Mathematics and Statistics, York University

A major pharmaceutical intervention for management of many infectious diseases is the use of antiviral drugs. However, the rise of drug resistance poses significant threats to the effectiveness of drugs. This research proposes to determine optimal treatment strategies, through the development of population dynamical models for disease transmission and control, which can minimize the effect of resistance emergence in the population. This work will primarily focus on influenza infection, which still inflicts substantial morbidity, mortality, and socioeconomic costs worldwide.

Project Leader(s): 

Postdoctoral fellow: Dr. Xiteng Liu, Mathematics and Statistics, York University

Lead faculty member: Dr. Hongmei Zhu, Mathematics and Statistics, York University

Non-academic participants: 

Magnetic Resonance Imaging (MRI) is an important medical imaging technology for clinical diagnostics. However, its slowness in data acquisition poses major problems in practice. In recent years, many research efforts to accelerate MRI data acquisition were based on the compressed sensing (CS) theory. CS is effective for signals that have highly sparse representations. However, it suffers from high computational complexity and lack of performance stability.

Project Leader(s): 

Dr. Tom Salisbury, York University

Project team: 
Dr. Huaxiong Huang, York University
Dr. Sebastian Jaimungal, University of Toronto
Dr. Manuel Morales, Unversité de Montréal
Dr. Adam Kolkiewicz, University of Waterloo
Dr. Charles Dugas, Université de Montréal
Dr. Hyejin Ku, York University
Dr. Sheldon Lin, University of Toronto
Dr. Jose Garrido, Concordia University
Dr. Ken Seng Tan at U Waterloo
Non-academic participants: 
Funding period: 
April 1, 2021 - March 31, 2021

With many baby-boomers entering retirement in North America, and with the increasing size of the aging population worldwide due to economic and social development, managing retirement income becomes an important question for the finance and insurance industry as well as for individuals. At the same time, corporations are stepping away from the standard “pensions" they have traditionally offered employees. As a result, individuals are responsible more often for managing the risks associated with securing their retirement income.

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Project Leader(s): 

Dr. Jianhong Wu , York University

Project Website: 
Project team: 
Dr. Julien Arino, McMaster University
Dr. Jacques Bélair, Université de Montréal
Dr. Fred Brauer, University of British Columbia
Dr. Troy Day, Queen's University
Dr. Julien Arino, University of Manitoba
Dr. Jacques Beir, Universite de Montreal
Dr. Fred Bauer, University of British Columbia
Dr. Troy Day, Queen’s University
Dr. Michael Li, University of Alberta
Dr. Charmaine Dean, Simon Fraser University
Dr. David N. Fishman, Ontario Public Health Laboratories
Dr. Jane Heffernan, York University
Dr. Kamran Khan, University of Toronto
Dr. Neal Madras, York University
Dr. Seyed M. Mogadas, University of Winnipeg
Dr. Shigui Ruan, Dalhousie University
Dr. Beni M. Sahai, Cadham Provincial Laboratory
Dr. Robert Smith, University of Ottawa
Dr. Lin Wang, University of New Brunswick
Dr. James Watmough, University of New Brunswick
Dr. Glenn Webb, Vanderbilt University
Dr. Hauiping Zhu, York University
Dr. Pauline van den Driessche, University of Victoria
Funding period: 
April 1, 2021 - March 31, 2021

Assembled at the height of the SARS outbreak in 2003, this project develops a variety of modeling templates.

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