Research output per year
Research output per year
Personal profile
Biography
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
- 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 2023 → 1 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
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Improved Gaussian mixture model and Gaussian mixture regression for learning from demonstration based on Gaussian noise scattering
Feng, C., Liu, Z., Li, W., Lu, X., Jing, Y. & Ma, Y., May 2025, In: Advanced Engineering Informatics. 65, Part A, 103192.Research output: Contribution to journal › Article › peer-review
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Interdisciplinary perspectives on generative artificial intelligence adoption in Higher Education: a theoretical framework review
Duah, J. E., Lu, X., McGivern, P. & Jing, Y., 24 Jan 2025, Proceedings of the 2024 7th International Conference on Big Data and Education. Association for Computing Machinery, p. 1-9 9 p. (Proceedings of the 2024 7th International Conference on Big Data and Education).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Analysing regional disparities and shifting trends in transportation carbon emissions in China
Shen, Z., Huang, J., Wu, D. & Lu, X., 16 Dec 2024, Proceedings of the 2024 IEEE International Conference on e-Business Engineering (ICEBE). Hussain, O., Li, Y., Ma, S.-P., Lu, X. & Chao, K.-M. (eds.). IEEE, p. 312-319 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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A review of security frameworks in flying ad-hoc networks
Diockou, D., Wu, D., Lu, X., Jing, Y., Shabut, A. & Barwood, M., 16 Dec 2024, Proceedings of the 2024 IEEE International Conference on e-Business Engineering (ICEBE). Hussain, O., Li, Y., Ma, S.-P., Lu, X. & Chao, K.-M. (eds.). IEEE, p. 183-190 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus) -
Emotional dimensions of AI in education: understanding and leveraging human-AI interactions
Duah, J. E., Lu, X. & McGivern, P., 7 Jun 2024, (Unpublished).Research output: Contribution to conference › Paper
Prizes
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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)
Activities
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2026 7th International Conference on Materials Science and Manufacturing Engineering (MSME 2026)
Lu, X. (Member of programme committee)
4 Jan 2026 → 7 Jan 2026Activity: Attending or organising conference/seminar/workshop › Conference
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The 7th International Conference on Telecommunications and Communication Engineering (ICTCE 2025)
Lu, X. (Chair)
26 Nov 2025 → 28 Nov 2025Activity: Attending or organising conference/seminar/workshop › Conference
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2025 8th International Conference on Data Science and Information Technology (DSIT 2025)
Lu, X. (Member of programme committee)
14 Nov 2025 → 16 Nov 2025Activity: Attending or organising conference/seminar/workshop › Conference
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2025 2nd International Conference on Economic Data Analytics and Artificial Intelligence (EDAI 2025)
Lu, X. (Chair)
14 Nov 2025 → 16 Nov 2025Activity: Attending or organising conference/seminar/workshop › Conference
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The 8th International Conference on Big Data and Education
Lu, X. (Chair)
25 Oct 2025 → 27 Oct 2025Activity: Attending or organising conference/seminar/workshop › Conference