My research interests are intelligent manufacturing with a focus on remanufacturing working in close relationship with industry with case studies ranging from automotive components, rolling stocks, machine tools, aeroengine components leading to papers, patents and software prototypes

 Dr. Yan Wang is one of the UK’s leading researchers in remanufacturing, has published 100+ papers in manufacturing and been granted 10 patents. Dr Wang chairs BSI committee TPR1/7/3,  serves on BSI technical group BS8887 which gives the definition of remanufacturing with her knowledge embedded into Part 3 of BS8887 “the Guide to choosing an appropriate end-of-life strategy”. She is an active reviewer of several highly rated journals and a member of the editorial board of "Journal of Remanufacturing" and “China Surface Engineering”. She is the secretary of the Sino-UK Low Carbon Manufacturing Consortium supported by EPSRC network fund (EP/J007870/1). She has organised several UK-China workshops in remanufacturing attended by senior government policy makers from the UK, e.g. BEIS, DIT and UKRI and China e.g. Minister of Information and Industry Technology (MIIT), standards development agencies, and industry associations. These workshops are the highest-level meetings of this kind between China and the UK in the area of remanufacturing to date.  Her engagement with policymakers in China and the UK has influenced the China-UK Economy and Finance Forum's policy outputs (Item 57), published by the UK government. 

I am currently teaching Mechanical Design (Level 4), Manufacturing Instrumentation and measurement, and Manufacturing Engineering (Level 5) and Advanced Material Engineering to engineering students.

My research is mainly on sustainable/circular manufacturing: including

Design for Circular Economy/Net Zero

Carbon accounting for Circular Economy/Net Zero

Lifecycle data and knowledge modelling 

Scope 3 carbon accounting modelling

Remanufacturing and electrification 

Process simulations and operations management

The research stream could be experimental, simulation and mathematical modelling.