February 9

Hailiang Liu
(Iowa State University) 

Title: Data-driven Optimal Control of a SEIR model for COVID-19

Abstract: The rapid spread of COVID-19 has resulted in over millions of confirmed and death cases, and has a huge impact on global economy as well as everyone's daily life. In this work, we present a data-driven optimal control approach which integrates the reported partial data with the epidemic dynamics for COVID-19. This approach serves to forecast the evolution of the outbreak and provide scheduled controls of the epidemic. We provide efficient numerical algorithms based on a generalized Pontryagin Maximum Principle associated with the optimal control theory. Numerical experiments demonstrate the effective performance of the proposed model and its numerical approximations. 
(This is based on join work with Xuping Tian). 

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February 16

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February 23

Pamela Harris (Williams College)

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March 2

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March 9

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March 16

Selenne Banuelos (California State University Channel Islands)

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March 23

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March 30

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April 6

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April 13

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April 20

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April 27

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