This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a York University directory, so their courses and email address may be missing. Find their university profile.
Research
Latest papers
Optimal timing for staged vaccination campaigns: Insights from scenario tree-based stochastic optimization.
Infectious Disease Modelling · 2027
COVID-19 Vaccine Timing and Co-Administration with Influenza Vaccines in Canada: A Systematic Review with Comparative Insights from G7 Countries.
Vaccines · 2025
Optimal Reopening Pathways With COVID-19 Vaccine Rollout and Emerging Variants of Concern.
Frontiers in public health · 2021
Latest funding
- $63,000
Integrating stochastic programming, differential equations with deep learning methods for optimizing non-medical intervention policies
NSERC · 2022 · Principal investigator
- $422,433
Advanced Mathematical Technologies for Respiratory Infection Risk Assessment and Pharmaceutical Intervention Scenario Analysis
NSERC · 2022 · Co-investigator
- $3,000,000
Mathematics for Public Health (MfPH)
NSERC · 2020 · Co-investigator
3 publications.
Optimal timing for staged vaccination campaigns: Insights from scenario tree-based stochastic optimization.
Al Hashimi F, Chen S, Wu J
COVID-19 Vaccine Timing and Co-Administration with Influenza Vaccines in Canada: A Systematic Review with Comparative Insights from G7 Countries.
Al Hashimi F, Shuaib SE, Bragazzi NL, Chen S, Wu J
Optimal Reopening Pathways With COVID-19 Vaccine Rollout and Emerging Variants of Concern.
Xiao Y, Chen S, Zhu Y, McCarthy Z, Bragazzi NL, Asgary A, Wu J
Integrating stochastic programming, differential equations with deep learning methods for optimizing non-medical intervention policies
Principal investigators: Chen, Shengyuan
Keywords: stochastic programming; differential equations; deep learning; infectious disease modeling; shutdown reopening; vaccination scheduling; personal protective equipment; disease transmission
Advanced Mathematical Technologies for Respiratory Infection Risk Assessment and Pharmaceutical Intervention Scenario Analysis
Principal investigators: Wu, Jianhong J
Keywords: contact mixing; decision support; immunization; intelligent risk; mass gathering; mathematical modelling; neural networks; pharmaceutics and public health; respiratory infection; vaccine science
Mathematics for Public Health (MfPH)
Principal investigators: Murty, Vijayakumar
Machine Learning Models for Drinking Water Quality Monitoring based on Sensor Data
Principal investigators: Chen, Shengyuan
Stochastic Optimization Methodologies and Applications in Renewable Energy
Principal investigators: Chen, Shengyuan
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Jianhong Wu and Ali Asgary: 36 shared papers
- Jianhong Wu and Shengyuan Chen: 3 shared papers
- Shengyuan Chen and Ali Asgary: 1 shared paper
- Mathematics and Statistics
- Other
Co-authors at York University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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