Projects per year
Personal profile
Personal profile
Dr Lei Fan is with Department of Civil Engineering at Xian Jiaotong-Liverpool University. He obtained his first degree (BEng) in Hydraulics from Sichuan University, China, and an MSc degree in Civil Engineering from University of Nottingham, UK. He received a scholarship from EPSRC to carry out his PhD research in University of Southampton, UK. During his PhD study, he was supported financially by the EPSRC funding to study at Massachusetts Institute of Technology (MIT) as a visiting researcher. He also worked as a consulting engineer for Ramboll (Gifford) and Atkins in the UK for approximately three years.
His main research interests include LiDAR and photogrammetry, point cloud and remotely sensed imagery, machine deep learning, semantic segmentations, computer vision, monitoring of structures and geohazards.
He is accepting applications from PhD students.
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
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
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):
Education/Academic qualification
Ph.D. , University of Southampton, - Dec 2014
MSc , University of Nottingham, - Dec 2008
B.Eng , Sichuan University, - Sep 2008
Person Types
- Staff
Fingerprint
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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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Data Analysis of Intelligent Water Inspection using Multi-sensor Drones
Zhang, C., Xu, Y., Fan, L. & Tang, S.
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
1/02/23 → 1/02/25
Project: Internal Research Project
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Semantic segmentation of digital city based on fused multi-modal data and neural networks
Fan, L., Cai, Y., Fang, Y. & Chen, C.
1/03/22 → 28/02/25
Project: Internal Research Project
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An innovative method of evaluating the accuracy of point cloud data
1/03/22 → 29/02/24
Project: Internal Research Project
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Improving the Precision and Intelligence of 3D Reconstruction for Construction Information Modelling
Zhang, C., Fan, L., Guo, F., Guo, Y., Huang, H., Cai, Y., 汪少波 & 叶泽浩
1/07/20 → 30/06/23
Project: Governmental Research Project
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Advancements in point cloud data augmentation for deep learning: A survey
Zhu, Q., Fan, L. & Weng, N., Sept 2024, In: Pattern Recognition. 153, 110532.Research output: Contribution to journal › Article › peer-review
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At-rest lateral earth pressure on retaining structures under narrow backfill widths: A numerical investigation
Weng, N., Fan, L., Zhang, C., Gong, G. & Tan, L., 25 Apr 2024, In: AIMS Geosciences. 10, 2Research output: Contribution to journal › Article › peer-review
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At-Rest Lateral Earth Pressure on Retaining Walls Under Narrow Backfill Widths
Weng, N., Fan, L., Fei, Y., Zhang, C., Tan, L. & Shen, X., 2024, Towards a Carbon Neutral Future - The Proceedings of The 3rd International Conference on Sustainable Buildings and Structures. Papadikis, K., Zhang, C., Tang, S., Liu, E. & Di Sarno, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 661-671 11 p. (Lecture Notes in Civil Engineering; vol. 393).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Case study on the optimal scaling factor for semantic segmentation of remote sensing image
Cai, Y., Fang, Y., Huang, F. & Fan, L., 2024, 2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing, MIGARS 2024. Institute of Electrical and Electronics Engineers Inc., (2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing, MIGARS 2024).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Comparing roughness maps generated by five typical roughness descriptors for LiDAR-derived digital elevation models
Fan, L. & Zhao, Y., 2 Apr 2024, In: AIMS Geosciences. 10, 2Research output: Contribution to journal › Article › peer-review
Open Access
Activities
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Information Fusion (Journal)
Lei Fan (Reviewer)
2024Activity: Peer-review and editorial work of publications › Publication Peer-review
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Buildings (Journal)
Lei Fan (Editor)
2024Activity: Peer-review and editorial work of publications › Editorial work
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Automation in Construction (Journal)
Lei Fan (Reviewer)
2024 → …Activity: Peer-review and editorial work of publications › Publication Peer-review
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Natural Hazards (Journal)
Lei Fan (Reviewer)
2024 → …Activity: Peer-review and editorial work of publications › Publication Peer-review
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Geomatics, Natural Hazards and Risk (Journal)
Lei Fan (Reviewer)
2024 → …Activity: Peer-review and editorial work of publications › Publication Peer-review