Integrating Machine Learning and Decomposition Techniques for Optimized Resource Allocation in Pandemic Response.

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dc.contributor.advisorAli Hajbabaie, Co-Chair
dc.contributor.advisorLeila Hajibabai, Co-Chair
dc.contributor.advisorMaria Mayorga, Member
dc.contributor.advisorMichael Kay, Graduate School Representative
dc.contributor.advisorJulie Swann, Member
dc.contributor.authorLi, Kuangying
dc.date.accepted2025-03-19
dc.date.accessioned2025-04-17T12:30:44Z
dc.date.available2025-04-17T12:30:44Z
dc.date.defense2025-01-05
dc.date.issued2025-01-05
dc.date.released2025-04-17
dc.date.reviewed2025-01-13
dc.date.submitted2025-01-05
dc.degree.disciplineOperations Research
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg40595
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/45289
dc.titleIntegrating Machine Learning and Decomposition Techniques for Optimized Resource Allocation in Pandemic Response.

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