About me

Short summary

If you are interested in structural health monitoring (SHM), Wind turbine O&M, vehicle-bridge interaction (VBI), and machine learning, and intend to cooperate with me, please contact me at zhenkun-li@outlook.com.

Zhenkun Li is a Postdoc at the Department of Wind and Energy Systems (DTU Wind) at Technical University of Denmark. He received his D.Sc. in Department of Civil Engineering from Aalto University, Finland. His research interests lie in the Structural Health Monitoring (SHM) for civil infrastructure systems, damage detection, finite element analysis, deep learning and computer vision.

• CV
• Google Scholar

• ORCID
• Scopus

• GitHub
• LinkedIn

Address

Office: Frederiksborgvej 399, 4000 Roskilde, Denmark.

Education

• 10.2021-10.2023, D.Sc., Aalto University.
• 09.2017-06.2020, M.Eng., Dalian University of Technology (DUT).
• 09.2013-06.2017, B.Eng., Qingdao University of Technology (QUT).

Professional Activities

• Early editorial board member
  • Nondestructive Testing and Evaluation (2026–2028)
  • Smart Construction (2024–2026).
    
  • Journal of Municipal Technology (2024–2027).
    
  • Bridge Engineering (BREN) (2024–2026).
    
• Guest Editor
  • Applied Sciences: Evaluation of Buildings’ and Infrastructures’ Performance and Analysis of Seismic and Naturally Induced Disasters.
    
  • Structural Durability & Health Monitoring: Advanced Computer Vision Methods and Related Technologies in Structural Health Monitoring.
    
• Reviewer (over 30 Journals)
  • Automation in Construction
  • Mechanical Systems and Signal Processing
  • Advanced Engineering Informatics
  • Construction and Building Materials
  • Developments in the Built Environment
  • Engineering Structures
  • Journal of Building Engineering
  • Journal of Sound and Vibration
  • Measurement
  • Journal of Civil Structural Health Monitoring
  • Advances in Structural Engineering
• Membership
  • Individual member, International Association for Bridge Maintenance and Safety (IABMAS).
    
  • Individual member, International Association for Life-Cycle Civil Engineering (IALCCE).
    
  • Full membership, Society for Civil Structural Health Monitoring (SCSHM)
    
  • Member, IABSE (Task Group 5.7: Digital Twins on Existing Bridges, https://www.iabse.org/TG5.7)

Awards and honours

• Jul. 2026, Audience Prize at the EWSHM 2026 Young Researcher Challenge (supervisor), EWSHM 2026 organizing committee
• Mar. 2024, Dean’s doctoral dissertation awards, Aalto University.
• Mar. 2023, Fabian and Jaakko Ahvenainen Foundation grants, Aalto University.
• Jun. 2020, Excellent master thesis, DUT.
• Jun. 2020, Eminent graduate in Liaoning Province, Liaoning Province.
• Nov. 2019, Scholarship of Chinese Road and Bridge, DUT.
• Oct. 2018, Eminent postgraduate student, DUT.
• Oct. 2016, Scholarship from Province Government (1/508), Shandong Province.
• Dec. 2015, 2nd Prize in National Mathematic Modeling Competition, National.
• Nov. 2015, 3rd Prize in the National Advanced Innovated Competition, National.
• Jun. 2015, 2nd Prize in the 14th Challenge Cup Competition, Shandong Province.
• Nov. 2014, Scholarships from Principal of QUT (4/508), QUT.

Professional Competence & Certificates

• Language: English, Chinese (mother tongue), German (beginner).
• Data Analysis: machine learning|deep learning|computer vision|signal processing
• National Computer Rank Examination Certificate of Level 2 (C language).
• National Computer Rank Examination Certificate of Level 3 (Internet technology).
• National 1st Class Certified Structural Engineer.
• National Certificate of BIM Skill Proficiency Test Level 1.
• Main Software:
  Computing: MATLAB, Octave, Julia, R.
  Programming Languages: Python(sklearn,Pytorch), Java(beginner).
  Numerical simulation: ANSYS, Abaqus, SAP2000, YJK, PKPM.
  Modeling: SOLIDWORKS, Revit.
  Text processing: MS Office, LaTeX, HTML+CSS.
  Figures: OriginLab, Photoshop, Illustrator, CorelDRAW, Auto CAD.
  Video editing: Corel VideoStudio, Premiere, After Effects.