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The purpose of this thesis is to investigate the application of mathematical modeling in the optimization of bioreactors, a critical component in the field of biotechnology.
The primary focus will be on elucidating the effectiveness of this interdisciplinary approach in improving bioreactors efficiency, reducing operational costs, and mitigating associated environmental impacts.
The thesis aims to develop an in-depth understanding of how mathematical methodologies can assist in predicting, controlling, and enhancing the performance of bioreactors, which will ultimately lead to significant advancements in sectors of pharmaceuticals.
Further, this work would deliver a comprehensive perspective on how to integrate mathematical modeling into the bioreactor design process, thereby promoting sustainability and resilience in bio-based production systems.


