Empowering Chemical Processes through Artificial Intelligence: Autoencoders, Swarm Intelligence, and Reinforcement Learning for Modeling and Optimization of Complex Reactions

Promovendus/a: Min Wu

Promotor(en): Prof. dr. Mumin Enis Leblebici, Prof. dr. ir. Florence Vermeire, Prof. dr. Leen Braeken

This thesis explores how artificial intelligence (AI) can make chemical manufacturing smarter, faster, and more affordable. It introduces new ways to use AI for understanding chemical data, improving complicated reactions, and making quick decisions during production. The study also points out the need to teach future engineers how to work with AI and suggests starting a company to help businesses use these tools. In short, the research shows how AI can modernize the chemical industry and make it more efficient and innovative.