About me

Short summary

If you are interested in structural health monitoring (SHM), vehicle-bridge interaction (VBI), and machine learning, and intend to cooperate with me, please contact me at zhenkun.li@aalto.fi.

Zhenkun Li is a Postdoctoral Researcher at the Department of Civil Engineering at Aalto University. He received his M.Eng. in School of Civil Engineering from Dalian University of Technology, China. 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: Room 216, Rakentajanaukio 4 A, Aalto University, Espoo 02150, Finland

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-age editorial board member
  • Smart Construction (2024–2026).
    
  • Journal of Municipal Technology (2024–2025).
    
  • 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
  • Automation in Construction (IF 9.6, JCR Q1)
    
  • Mechanical Systems and Signal Processing (IF 7.9, JCR Q1)
    
  • Construction and Building Materials (IF 7.4, JCR Q1)
    
  • Journal of CO2 Utilization (IF 7.2, JCR Q1)
    
  • Journal of Building Engineering (IF 6.7, JCR Q1)
    
  • Engineering Structures (IF 5.6, JCR Q1)
    
  • Measurement (IF 5.2, JCR Q1)
    
  • Journal of Civil Structural Health Monitoring (IF 3.6, JCR Q1)
    
  • Sensors (IF 3.4, JCR Q2)
    
  • Buildings (IF 3.1, JCR Q2)
    
  • Nondestructive Testing and Evaluation (IF 3.0, JCR Q2)
    
  • Advances in Structural Engineering (IF 2.1, JCR Q2)
    
  • Journal of Testing and Evaluation (IF 0.8, JCR Q4)
• Membership
  • Individual member, International Association for Bridge Maintenance and Safety (IABMAS).
    
  • Individual member, International Association for Life-Cycle Civil Engineering (IALCCE).
    
  • Staff member, RILEM (Réunion Internationale des Laboratoires et Experts des Matériaux).
    
  • Student member, American Society of Civil Engineers (ASCE).

Awards and honours

• 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 (very 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.