Dr Ulrike Dackermann

Dr Ulrike Dackermann

Lecturer
  • PhD in Civil Engineering, University of Technology Sydney (UTS), Australia, 2010
  • MSc (Dipl.-Ing. Univ.) in Civil Engineering, Technical University Munich (TUM), Germany, 2003 
Engineering
Civil and Environmental Engineering

Lecturer in the School of Civil and Environmental Engineering and the Centre for Infrastructure Engineering and Safety (CIES)

Dr. Ulrike Dackermann is a lecturer in the School of Civil and Environmental Engineering at UNSW and a member of the Centre for Infrastructure, Engineering and Safety (CIES). She joined UNSW in 2017 after serving as a lecturer at UTS from 2014. Her expertise includes Structural Health Monitoring (SHM), Non-Destructive Testing & Evaluation (NDT&E), Hybrid Timber Stru...

Phone
(+61 2) 9385 5146
E-mail
u.dackermann@unsw.edu.au
Location
Civil Engineering Building (H20) Level 6, Room CE610 Kensington Campus

  • ARC Linkage Project, LP200301196, “A sentinel network for vibration-based termite control”, 2023-2026
  • Australia-Germany Joint Research Co-operation Scheme, UA and DAAD, 2018-2019
  • 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, 2014-2016
  • 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

  • Structural Health Monitoring (SHM): Development and application of advanced SHM techniques for improved infrastructure safety and longevity.
  • Non-Destructive Testing and Evaluation (NDT&E): Innovative NDT&E methods for assessing structural integrity and detecting damage in timber and other materials.
  • Hybrid Timber Structures: Performance evaluation, dynamic characterisation and long-term behaviour of timber in combination with other materials.
  • Artificial Intelligence, Advanced Signal Processing and Data Fusion: AI-driven approaches for structural assessment, predictive maintenance, and intelligent data integration.
  • Dynamic Behaviour and Modal Analysis: Characterisation of structural vibrations, pedestrian-induced loads, and experimental modal testing for civil infrastructure.
  • Guided Wave Analysis: Development of guided wave techniques for damage detection and condition assessment in timber structures.

My Teaching

  • CVEN4308  Structural Dynamics
  • CVEN4309  Sustainable Timber Engineering
  • CVEN2303  Structural Analysis and Modelling
  • CVEN9818  Bridge Engineering
  • ENGG1000  Introduction to Engineering Design and Innovation