Yuchun Xu

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Aston University

United Kingdom

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About

Professor Yuchun Xu is a faculty member at Aston University, UK. His research encompasses areas such as digital twinning for predictive maintenance, fuzzy decision analysis, human-robot collaboration in remanufacturing, and optimization of industrial processes. His recent publications reflect a strong focus on sustainable manufacturing, fault diagnosis, and data-driven approaches in engineering.

Recent Grants

Grant: Close

RE-manufaCturing and Refurbishment LArge Industrial equipMent

Open Date: 2019-10-01

Close Date: 2023-03-31

Grant: Close

Aston University and Wickens Engineering Limited

Open Date: 2019-08-31

Close Date: 2021-08-30

Grant: Close

AUTONOM: Integrated through-life support for high-value systems

Open Date: 2013-03-05

Close Date: 2017-03-04

Grant: Close

Customised Advisory Services for Energy-efficient Manufacturing Systems

Open Date: 2012-03-01

Close Date: 2016-02-29

Grant: Close

EPSRC Centre for Innovative Manufacturing in Through-life Engineering Services

Open Date: 2011-07-11

Close Date: 2016-07-10

Positions (1)

Dan Dai

University Name

Aston University

4 months ago

Fully Funded PhD Studentship in Constraint-Aware 3D Scenario Generation for Agentic Digital Twins in Smart Manufacturing

Fully funded PhD studentship at Aston University in Birmingham, UK: Constraint-Aware 3D Scenario Generation for Agentic Digital Twins in Smart Manufacturing . This project develops AI-driven methods for generating realistic, editable, and engineering-aware industrial 3D scenarios from natural-language requirements and iterative user feedback. The research sits at the intersection of computer science , industrial engineering , smart manufacturing , and digital twins , with strong relevance to agentic systems and human-in-the-loop design. Supervisors: Dr Dan Dai and Prof Yuchun Xu. Funding: fully funded PhD studentship. Duration: 3.5 years. Eligibility: open to Home students only . Deadline: 1 June 2026. Interested applicants should review the project details and apply via the provided application link.

4 months ago

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Lecturer

University of Auckland

NEW ZEALAND

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Yang Lu

York St John University

UNITED KINGDOM

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Yu Jia

Aston University

UNITED KINGDOM

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Ming Zhang

Aston University

UNITED KINGDOM

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Ashutosh Tiwari

University of Sheffield

UNITED KINGDOM

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Yuchun Xu

Research Interests

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About

Recent Grants

Positions (1)

Fully Funded PhD Studentship in Constraint-Aware 3D Scenario Generation for Agentic Digital Twins in Smart Manufacturing

Articles (19)

An ontology and rule-based method for human–robot collaborative disassembly planning in smart remanufacturing

Reliability enhancement of state of health assessment model of lithium-ion battery considering the uncertainty with quantile distribution of deep features

Self-adaptive digital twin of fuel cell for remaining useful lifetime prediction

A Fuzzy Synthesis Approach for Hierarchical Decision Analysis to Select Optimum Repair Technique

Towards sustainable manufacturing by enabling optimum selection of life extension strategy for industrial equipment based on cost modelling

A Novel Simulated Annealing-Based Hyper-Heuristic Algorithm for Stochastic Parallel Disassembly Line Balancing in Smart Remanufacturing

Online Big-Data Monitoring and Assessment Framework for Internal Combustion Engine with Various Biofuels

A Novel Deep Model with Meta-learning for Rolling Bearing Few-shot Fault Diagnosis

A low-carbon, fixed-tour scheduling problem with time windows in a time-dependent traffic environment

Few-Shot Learning Approaches for Fault Diagnosis Using Vibration Data: A Comprehensive Review

Multi-Objective Considered Process Parameter Optimization of Welding Robots Based on Small Sample Size Dataset

Dynamic Scheduling Method for Job-Shop Manufacturing Systems by Deep Reinforcement Learning with Proximal Policy Optimization

Predictive Maintenance for Remanufacturing Based on Hybrid-Driven Remaining Useful Life Prediction

A Distributional Perspective on Remaining Useful Life Prediction With Deep Learning and Quantile Regression

The investigation of environmental sustainability within product design: a critical review

The aperiodic facility layout problem with time-varying demands and an optimal master-slave solution approach

Metric-based meta-learning model for few-shot fault diagnosis under multiple limited data conditions

RECLAIM: Toward a New Era of Refurbishment and Remanufacturing of Industrial Equipment

Ergonomic evaluation on the manufacturing shop floor: A review of hardware and software technologies

Collaborators (11)

Lucy Bastin

Chao Liu

Abul Hossain

Gareth Thomson

Nasser Amaitik

tony clark

Yuqian Lu

Yang Lu

Yu Jia

Ming Zhang

Ashutosh Tiwari

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