Dr Xin Lu is an Associate Professor in Computer Science at Leeds Trinity University, appointed in 2023 following previous academic positions as Senior Lecturer at Bournemouth University and Lecturer at Coventry University. He holds a BSc in Electronic Science and Technology from Beijing Institute of Technology, an MSc in Electronic, Electrical and Systems Engineering, and a PhD in Computer Science from Loughborough University.

With over a decade of research experience, Dr Lu specialises in AI research and applied intelligent systems. His work focuses on advancing AI-driven methodologies for smart systems across intelligent manufacturing, digital healthcare, and urban technology environments.

His research includes intelligent edge and fog-enabled IoT architectures, human–robot collaboration approaches that enhance automation and adaptability, adaptive AI frameworks for higher education system design, and meta-reinforcement learning techniques for dynamic shop-floor planning and optimisation. Dr Lu has also contributed to AI-enabled organisational innovation through projects developing AI-powered HR and workforce analytics systems that support data-driven decision-making and operational improvement.

His broader research interests span digital twins, deep learning, generative AI in higher education, human–robot collaboration, big data analytics, intelligent manufacturing, IoT systems, TinyML, and agent-based adaptive AI systems.

In addition to his research, Dr Lu holds several academic leadership roles. He serves as Course Leader for the MSc Data Science and AI and MSc Computer Science programmes, chairs the DBCDI Ethics Committee, and provides strategic oversight of research ethics and governance. As School Research Lead, he drives research strategy and collaboration, and as Unit of Assessment 11 Lead, he coordinates the REF submission process to ensure high standards of research quality and integrity. He has also served as Chair or Organising Committee member for more than 20 international conferences and holds editorial and editorial board roles across over 12 international journals.

• Digital twins
• Deep learning, Reinforcement Learning, Meta-Learning, Federated Learning
• Generative AI in HE
• Human-robot Collaborations
• Big data analytics
• Intelligent Manufacturing 
• Internet of Things
• TinyML

• Course leader of MSc Data Science and AI
• Course leader of MSc Computer Science 
• Co-Deputy Chiar of DBCDI ethics Committee
• University Ref UoA 11 Computer Science and Informatics lead