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

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Personal profile


Dr. Xin Lu assumed the role of Associate Professor in Computer Science at Leeds Trinity University in 2023, following appointments as a Senior Lecturer at Bournemouth University and a Lecturer at Coventry University. His academic journey commenced with a Bachelor of Science degree in Electronic Science and Technology from Beijing Institute of Technology, followed by the attainment of a Master of Science degree in Electronic, Electrical, and System Engineering, and ultimately, a Doctorate in Computer Science from Loughborough University.

With over a decade of dedicated research, Dr. Lu has specialized in the design of Big Data analytics and deep learning empowered Internet of Things (IoT) frameworks for applications spanning Smart Factory and Smart Home domains. His current research endeavors center on advancing Big Data analysis and Deep Learning methodologies tailored for Smart Systems, with particular emphasis on Intelligent Manufacturing, Digital Healthcare, and Smart City domains. Noteworthy areas of investigation include Intelligent Edge/Fog-enabled IoT systems, human-robot collaboration methodologies pertinent to Intelligent Manufacturing and Digital Health contexts.

Dr. Lu's research interests encompass a spectrum of topics, including Digital Twins, Deep Learning, Generative Artificial Intelligence (AI) in Higher Education, Human-Robot Collaborations, Big Data Analytics, Intelligent Manufacturing, Internet of Things, and TinyML.

In addition to his research pursuits, Dr. Lu actively engages in academic leadership and administrative roles. He serves as the Course Leader for the MSc Data Science and AI program and fulfills the role of Co-Deputy Chair for the DBCDI Ethics Committee, contributing to the ethical oversight of research activities within the academic community.

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
  • Co-Deputy Chiar of DBCDI ethics Committee 

External positions

Visiting Research Fellow, Bournemouth University

1 Mar 20231 Mar 2028


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

REF 2029 UOA

  • UOA11 - Computer Science and Informatics


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