Personal profile
Personal profile
Dr. Lei Fan is an Associate Professor in the Department of Civil Engineering at the Design School, Xi’an Jiaotong-Liverpool University (XJTLU). He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) and a Fellow of the Higher Education Academy (HEA).
Dr. Lei Fan obtained his BEng in Hydraulics from Sichuan University, China, and an MSc in Civil Engineering from the University of Nottingham, UK. He was awarded a scholarship from the UK Engineering and Physical Sciences Research Council (EPSRC) to pursue his PhD at the University of Southampton, UK, during which he also conducted research as a Visiting Researcher at the Massachusetts Institute of Technology (MIT). Prior to joining XJTLU, he worked as a consulting engineer with Gifford (now part of Ramboll) in London and Atkins (now AtkinsRéalis.) in Birmingham, gaining several years of professional experience in civil engineering.
His current research interests lie in point cloud, remote sensing, machine and deep learning, semantic segmentation, computer vision, geohazard prediction, and structural health monitoring.
He is currently accepting PhD applications.
Research interests
Point Cloud, Remote Sensing
Deep Learning, Machine Learning
Semantic Segmentation, Computer Vision
Geohazards, Structural Monitoring
Experience
Xian Jiaotong Liverpool University - Present
Consulting Engineer in Geotechnical Engineering, Atkins - 2014-2015
Visiting researcher, Massachusetts Institute of Technology (MIT) - 2011 to 2012
Consulting Engineer in Civil Structures, Ramboll (Gifford) - 2008 to 2011
Teaching
Numerical Methods; Soil Mechanics; Geotechnical Engineering
Awards and honours
2018 Suzhou SEID Excellent Scientific and Education Talent
2017 Jiangsu Province Shuang Chuang Talent
2010 PhD Scholarship, The Engineering and Physical Sciences Research Council of the UK
Related documents
Education/Academic qualification
Ph.D. , University of Southampton, - Dec 2014
MSc , University of Nottingham, - Dec 2008
B.Eng , Sichuan University, - Sep 2008
Research areas
- Computer Vision
- Deep Learning
- Remote Sensing
- Point Cloud Processing
- Geohazards
Keywords
- TA Engineering (General). Civil engineering (General)
- QA75 Electronic computers. Computer science
- G Geography (General)
Person Types
- Staff
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action
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Collaborations and top research areas from the last five years
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Data Analysis of Intelligent Water Inspection using Multi-sensor Drones
Zhang, C. (PI), Xu, Y. (Team member), Fan, L. (Team member) & Tang, S. (Team member)
1/12/23 → 30/11/25
Project: Governmental Research Project
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Enhanced teaching and learning on geology by 3D interactive virtual geological scenes
Fan, L. (PI)
1/02/23 → 1/02/25
Project: Internal Research Project
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An innovative method of evaluating the accuracy of point cloud data
Zhang, C. (PI), Fan, L. (Team member) & Tang, S. (Team member)
1/03/22 → 29/02/24
Project: Internal Research Project
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Building carbon emissions (2016–2025): A PRISMA-based systematic review of definitions, quantification methods and policies
Gu, X., Fan, L. & Mahabir, R., Jan 2026, In: Environmental Development. 57, 101345.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
Classwise-CRF: Category-specific fusion for enhanced semantic segmentation of remote sensing imagery
Zhu, Q., Jiang, Y. & Fan, L., May 2026, In: Neural Networks. 197, 108485.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Domain adaptation of large language models for geotechnical applications
Fan, L., Liu, F. & Chen, C., Mar 2026, In: Solid Earth Sciences. 11, 1Research output: Contribution to journal › Article › peer-review
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DRCM: A Dense Residual Connection Mechanism for Remote Sensing Image Enhancement
Fang, Y., Gong, G. & Fan, L., Apr 2026, In: Applied Intelligence. 56, 5, 122.Research output: Contribution to journal › Article › peer-review
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Review of physics-informed neural networks in hemodynamics
Yu, X., Hu, Y., Guo, R., Fan, L., Ding, H. & Xiao, J., 1 Jan 2026, In: Engineering Applications of Artificial Intelligence. 163, 112834.Research output: Contribution to journal › Article › peer-review
Activities
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Semantic segmentation of nighttime images for deep-learning-based scene understanding
Fan, L. (Supervisor)
Jul 2025 → Aug 2025Activity: Supervision › Completed SURF Project
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Integrating Research into Teaching — Design and Guidance of Research-led Learning Tasks
Fan, L. (Participant)
Jul 2025Activity: Participating in or organising an event › Participating in an event e.g. a conference, workshop, …
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Comprehensive Solutions for Architectural Façade Systems: Talks from three invited industry experts
Fan, L. (Organiser)
30 Apr 2025Activity: Participating in or organising an event › Organising an event e.g. a conference, workshop, …
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A New Vision of Engineering - cutting-edge technologies
Fan, L. (Organiser)
5 Mar 2025Activity: Participating in or organising an event › Organising an event e.g. a conference, workshop, …
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Invited talks from three alumni
Fan, L. (Organiser)
5 Mar 2025Activity: Participating in or organising an event › Organising an event e.g. a conference, workshop, …