Abdulqader Bin Sahl (A.M.A.)
Abdulqader Bin Sahl joined the Circular Plastics Group at the Circular Chemical Engineering department (CCE) of Maastricht University (UM) as a Ph.D. candidate in August 2025. His research focuses on exploring the use of generative artificial intelligence to support circular plastics across the material life cycle, including design, use, recycling, and end-of-life decision-making. By integrating AI-based methods into circular plastics workflows, his work aims to develop smarter, more efficient, and more sustainable approaches for material innovation, recycling optimization, and resource recovery. This includes applications to both conventional plastics and bioplastics, contributing to the broader transition toward a circular plastics economy.
Expertises
- Process Systems Engineering
- Process Safety
- Systems Modelling & Optimization
- Machine Learning
- Large Language Models (LLMs)
- Retrieval Augmented Generation (RAG)
- P-graph Methodology
Career history
Abdulqader obtained his Bachelor of Engineering degree (BEng) in Chemical Engineering with High Distinction Honours from Swinburne University of Technology and his Master of Science (MSc) in Chemical Engineering from Politecnico di Milano. His master’s thesis explored the optimization of plastic recycling pathways using a novel machine learning-embedded graph-theoretic framework that considered country-specific renewable energy profiles. He has also worked in the industry as a consultant in Milan, gaining experience in process safety and engineering projects.