Jie Li

Dr. Jie Li is a Senior Lecturer at the Department of Chemical Engineering, University of Manchester, affiliated with the EPSRC Peer Review College. His expertise spans mathematical modeling, machine learning, and data-driven optimization applied to process systems engineering, including energy efficiency, CO2 capture, renewable energy storage, and Industry 4.0 integration.

Research interests focus on Process Systems Engineering (PSE), addressing sustainability challenges through optimization of complex systems. Key areas include data-driven optimization, machine learning for process synthesis, multi-scale modeling of energy systems, and carbon capture technologies.

• Awards: EPSRC New Investigator Award, Best Poster Awards (ChemEngDayUK22, CSCST-SCI), and 'One-hundred Talents' from Chinese Academy of Sciences.
• Editorial Roles: Guest editor for Processes and Frontiers in Chemical Engineering.
• Labs/Teams: Leads the Process Development and Integration group, contributing to UN SDGs related to energy and sustainability.

Recent publications emphasize AI-assisted process design, rescheduling strategies for batch processes, and CO2/CH4 separation via MOF membranes. His work bridges chemical engineering, applied mathematics, and computer science to advance sustainable industrial practices.