Journal of Robotics, Automation and Smart Systems

Dr. Xin Lu is an Associate Professor of Computer Science at Leeds Trinity University, specializing in big data analytics, deep learning, cybersecurity for IoT, and intelligent systems. He holds a PhD in Computer Science from Loughborough University, supported by earlier master’s and bachelor’s degrees from the UK and China. With over a decade of international research experience across multiple UK universities including Coventry University, Bournemouth University, and South Wales—Dr. Lu has contributed extensively to intelligent manufacturing, digital healthcare, Smart City applications, and human–robot collaboration. He leads the Human–Robot Collaboration & Intelligent IoT Lab and serves in strategic university research leadership roles, including Research Director and Deputy Chair of the Faculty Ethics Committee. His current work explores digital twins, embedded machine learning (TinyML), data-driven system optimization, and the role of Generative AI in higher education. Dr. Lu has secured significant EU, UK OfS, ACU, and institutional funding, published 60+ scientific works, and served as Guest Editor and reviewer for multiple international journals.

• Big Data Analytics
• Generative AI Applications in Higher Education
• Human–Robot Collaboration

Research Leadership

1. Research Director, School of Computer Science
2. Deputy Chair – Faculty Research Ethics & Integrity Committee
3. University Lead for REF (Unit of Assessment 11)
4. Faculty Research Lead, BCDI
5. Lab & Programme Leadership

Founder & Director of Human–Robot Collaboration & Intelligent IoT Lab

1. Course Director: MSc Data Science & AI
2. Course Director: MSc Computer Science

Research Projects

1. PI: Digital Twin Enabled Human–Robot Collaboration
2. PI: Generative AI for Personalized Learning & Assessment
3. Co-PI: ACU AI for Job Evaluation
4. Co-PI: EU COST Action CA23157
5. PI/Co-PI of several UK OfS, Innovate UK, and EU Horizon 2020 funded projects

Supervision

1. Supervised PhD graduates in Big Data, Tool Wear Prediction, and Optimization
2. Currently supervising 7+ PhD researchers on AI, IoT, digital twin, and drone security

Editorial / Conference Roles

1. Guest Editor for Information
2. Guest Editor for Education Sciences
3. Guest Editor for Future Internet
4. Editorial Board Member, Journal of Intelligent Communication
5. 50+ Conference roles (Chair, TPC, Publication Chair) for IEEE and international events

1. An Adaptive Meta-Reinforcement Learning Framework for Dynamic Flexible Job Shop Scheduling

2. Diagnosing Hydraulic Directional Valve Spool Stick Faults Enabled by Hybridized Intelligent Algorithms

3. Improved Gaussian Mixture Model and Gaussian Mixture Regression for Learning from Demonstration Based on Gaussian Noise Scattering

4. Nanosecond Pulse Plasma Activation of Micron-Sized Mist Droplets

5. Leveraging Digital Twin Technology for Enhanced Cybersecurity in Cyber-Physical Production Systems

6. Exploring the Potential of ChatGPT in Enhancing Atmospheric Pressure Plasma Research Techniques

7. An Adversarial Time–Frequency Reconstruction Network for Unsupervised Anomaly Detection

8. Distributed Deep Learning-Enabled Prediction on Cutting Tool Wear and Remaining Useful Life

9. Prediction of the Remaining Useful Life of a Cutting Tool Using the Hurst Exponent and CNN-LSTM

10. Heterogeneous Sensors-Based Feature Optimisation and Deep Learning for Tool Wear Prediction

11. Fog Computing and Convolutional Neural Network Enabled Prognosis for Machining Process Optimization

12. Data-Driven Anomaly Diagnosis for Machining Processes

13. Energy-Efficient Machining Process Analysis and Optimisation Based on BS EN24T Alloy Steel

14. Supervision Controller for Real-Time Surface Quality Assurance in CNC Machining Using Artificial Intelligence

15. Cyber-Physical System and Big-Data-Enabled Energy-Efficient Machining Optimisation

16. Research on Energy Consumption and Energy Efficiency of Machine Tools: A Comprehensive Survey

17. Customized Encryption of CAD Models for Cloud-Enabled Collaborative Product Development

18. Parametric and Adaptive Encryption of Feature-Based Computer-Aided Design Models for Cloud-Based Collaboration

19. A Systematic Approach of Process Planning and Scheduling Optimization for Sustainable Machining

20. A ZigBee-Based Home Automation System