Xinjun Cui

Dr. Xinjun Cui is an Associate Professor in Engineering at Teesside University's School of Engineering, Computing and Digital Technologies. He serves as Academic Lead for Higher and Degree Apprenticeships Programmes in Engineering. His career spans institutions including the University of Manchester, University of Nottingham, University of Wales Newport, and Sheffield Hallam University.

• PhD in Numerical Simulation of Navier-Stokes Equations (University of Manchester, 2002)
• External Examiner roles at 5 universities until 2026

His research focuses on granular flows, rotating flows, and multiphase flow modeling, with recent extensions to EV battery recycling, digital engineering, and AI applications. Key contributions include granular shock theory and unified approaches for industrial particle flow simulation.

Selected article trends show expertise in:

• Granular flow dynamics (50% of publications)
• EV battery recycling systems (30% of recent work)
• Multiphase flow modeling (20% of output)
• Machine learning applications in engineering (15% of latest projects)

Scientific Recognition:

• Royal Society Short Industry Fellow
• Collaborator on £5m Research England project (2022-2026)
• £2.1m Innovate UK project (2018-2021) with award recognition

Dr. Cui has supervised PhD students through funded projects and maintains active reviewer roles for 20+ journals. His lab work at NCEFE focuses on industrial particle flow modeling and sustainable manufacturing technologies.