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PhD projects

Digital Twin and deep learning enabled smart systems; Human-robot collaboration, Blockchain, Generative AI enhance learning, Meta learning

Calculated based on number of publications stored in Pure and citations from Scopus

Personal profile

Biography

Dr Xin Lu was appointed Associate Professor in Computer Science at Leeds Trinity University in 2023, following previous academic posts as Senior Lecturer at Bournemouth University and Lecturer at Coventry University. His academic foundation was established through a Bachelor of Science in Electronic Science and Technology from the Beijing Institute of Technology, a Master of Science in Electronic, Electrical, and System Engineering, and a PhD in Computer Science from Loughborough University.

With over a decade of sustained research experience, Dr Lu has developed expertise in Big Data analytics and deep learning–enabled Internet of Things (IoT) frameworks, particularly within Smart Factory and Smart Home applications. His current research focuses on advancing Big Data and Deep Learning methodologies for Smart Systems, with an emphasis on Intelligent Manufacturing, Digital Healthcare, and Smart City environments. His notable investigations explore Intelligent Edge/Fog-enabled IoT systems and human–robot collaboration approaches that enhance automation and decision-making in industrial and healthcare settings.

Dr Lu’s research interests span a broad range of interdisciplinary domains, including Digital Twins, Deep Learning, Generative Artificial Intelligence in Higher Education, Human–Robot Collaboration, Big Data Analytics, Intelligent Manufacturing, the Internet of Things, and TinyML.

Alongside his research activities, Dr Lu plays an active role in academic leadership. He serves as Course Leader for both the MSc Data Science and AI and MSc Computer Science programmes, and chairs the DBCDI Ethics Committee, providing strategic guidance and ethical oversight for research initiatives across the institution. As School Research Lead, he drives the school’s research strategy and collaboration, and as UoA 11 Lead, he coordinates the REF submission process to uphold the highest standards of research quality and integrity.

Research interests

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

Teaching and Administration

  • 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 

External positions

Visiting Research Fellow, Bournemouth University

1 Mar 20231 Mar 2028

Keywords

  • T Technology
  • Digital Twins
  • Deep Learning
  • Meta Learning
  • Intelligent system
  • Industry 4.0
  • Big Data

REF 2029 UOA

  • UOA11 - Computer Science and Informatics

PGR supervisor

  • PGR supervisor

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Collaborations and top research areas from the last five years

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  • 2025 Universities Human Resource

    Clarkson, S. (Recipient), Jing, Y. (Recipient) & Lu, X. (Recipient), 14 May 2025

    Prize: Prize (including medals and awards)

  • ECC Project of the Year Runer-up award

    Clarkson, S. (Recipient), Jing, Y. (Recipient), Lu, X. (Recipient), Worsno, D. (Recipient), Clark, S. (Recipient), Omokaro, M. (Recipient) & Nash, L. (Recipient), Nov 2024

    Prize: Prize (including medals and awards)