Evaluation of Artificial Intelligence-Based Digital Platforms for Sustainable Biomanufacturing Process Development and Their Life Cycle Assessment (AI-SUB-LCA)

About this initiative

This project aims to utilize artificial intelligence (AI) based platforms for the design and development of digital sustainable biomanufacturing processes to reduce the industries’ environmental footprint. Additionally, it involves conducting a life cycle assessment (LCA) of the biomanufacturing processes to evaluate the environmental impacts associated with all stages of the life cycle of bioproducts. 

The detailed aims of the project are as follows: 

• A systematic review of the recent developments in AI language prediction models and their potential to effectively apply them for digital sustainable biomanufacturing process development and their LCA.
• Learn to utilize digital tools and gain an understanding of AI’s potential for optimizing biomanufacturing processes for efficiency and sustainability.
• Evaluate AI-driven strategies to improve the sustainability of biomanufacturing processes considering environmental impact throughout the product lifecycle.

This project will improve the understanding of AI-driven models and their role in the design of sustainable biomanufacturing processes. Evaluation of AI and its potential in biomanufacturing can inform the development of future courses or modules within the Biotechnology program. The integration of cutting-edge AI technology with sustainability principles can better prepare future biomanufacturing professionals to design, develop, and monitor biomanufacturing processes to address the sustainability challenges of the evolving biomanufacturing industry. Presenting the project findings to faculty, researchers, and industry, the project can stimulate further discussion and collaboration on AI-powered sustainable biomanufacturing and their life cycle assessment.