Lei Fan

Associate Professor

Calculated based on number of publications stored in Pure and citations from Scopus
20142026

Research activity per year

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

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):

  • 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

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

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