Dr Ulrike Dackermann

Dr Ulrike Dackermann

PhD (Engineering), University of Technology Sydney (UTS), Australia, 2010
MSc/Dipl.-Ing. Univ. (Civil Engineering), Technical University Munich (TUM), Germany, 2003
Civil and Environmental Engineering
Dr Ulrike Dackermann is a lecturer in the School of Civil and Environmental Engineering and a member of the Centre for Infrastructure, Engineering and Safety at UNSW.
Dr Dackermann’s expertise lies in non-destructive testing, timber engineering, structural health monitoring, wave propagation analysis, damage detection, structural dynamics and artificial intelligence. She believes that integrating artificial intelligence (AI) in smart structural health monitoring systems can help generate more sophisticated and reliable inspection procedures, ensuring the sustainability of civil infrastructure. On a project involving the Sydney Harbour Bridge, she developed new damage assessment methods to safeguard its longevity, using AI to analyse vibration measurements gathered from the bridge’s sensor system.
Dr Dackermann’s knowledge in AI also has practical applications for the energy sector. In an ARC Linkage grant, partnering with AusGrid, she used her expertise in AI and timber engineering to develop a screening tool that enables AusGrid pole inspectors to distinguish healthy poles from unhealthy poles using wave-based detection and AI to locate invisible damage.
As a true engineer, when she sees and identifies a problem, she must help to solve it. This vision has extended to her work abroad with Engineers Without Borders where seemingly simple innovations have resulted in practical real life solutions for communities to conserve energy, improve health outcomes and diminish environmental degradation. This ‘giving back’ is Dr Dackermann’s down to earth, hands-on approach to creating balance in her life as a researching academic and a global engineer.
Research Interests
• Non-Destructive Testing
• Timber Engineering
• Structural Health Monitoring
• Wave Propagation Analysis
• Damage Detection
• Structural Dynamics
• Artificial Intelligence


Professional Organisations / Affiliations
• Australian Network of Structural Health Monitoring (ANSHM), Executive Committee Member
• International Society for Structural Health Monitoring of Intelligent Infrastructure (ISHMII), Member
• International Union of Laboratories and Experts in Construction Materials, Systems and Structures (RILEM), Member
• Concrete Institute of Australia, Member
• Engineers Without Borders (EWB), Member
• Federal Institute for Materials Research and Testing (BAM), Non-Destructive Testing Division, Germany, Visiting Fellow, 2013
• The Hong Kong Polytechnic University, Hong Kong, Visiting Fellow, 2008
• Norwegian Institute of Wood Technology (Norsk Treteknisk Institutt), Oslo, Norway, Visiting Fellow, 2002/2003
• Norwegian Public Roads Administration (Statens Vegvesen), Oslo, Norway, Visiting Fellow, 2002/2003


• CVEN9818  Bridge Engineering
• CVEN2303  Structural Analysis and Modelling
• CVEN4308  Structural Dynamics
• ENGG1000  Introduction to Engineering Design and Innovation
• CVEN2301  Mechanics of Solids for Civil Engineers
Current Service Roles
• Teaching and Learning Committee, UNSW, Member 
• Academic Advisor (Year 1), School of Civil and Environmental Engineering, UNSW
(+61 2) 9385 5146
Civil Engineering Building (H20) Level 6, Room CE610 Kensington Campus
  • Journal articles | 2015
    Mustapha S; Hu Y; Nguyen K; Alamdari MM; Runcie P; Dackermann U; Nguyen VV; Li J; Ye L, 2015, 'Pattern recognition based on time series analysis using vibration data for structural health monitoring in civil structures', Electronic Journal of Structural Engineering, vol. 14, pp. 106 - 115
    Journal articles | 2014
    Dackermann U; Smith WA; Randall RB, 2014, 'Damage identification based on response-only measurements using cepstrum analysis and artificial neural networks', Structural Health Monitoring, vol. 13, pp. 430 - 444, http://dx.doi.org/10.1177/1475921714542890

  • Australia-Germany Joint Research Co-operation Scheme, UA and DAAD, 2018-19
  • Australian Technology Network of Universities and German Academic Exchange Service Joint Research Co-operation Scheme, ATN and DAAD, 2015-2016
  • Collaborative Research Project Grant, UTS, 2015
  • Collaborative Research Project Grant, UTS, 2014-16
  • FEIT Research Seed Funding, 2014, UTS
  • Collaborative Research Project Grant, UTS, 2014
  • Industry and Innovation Project Grant, UTS, 2013-2014
  • International Researcher Development Grant, UTS, 2013
  • Chancellor’s Postdoctoral Research Grant, UTS, 2009-2014