Academic Profile : Faculty

ivanau_1_2.JPG picture
Prof Ivan Au
Professor, School of Civil and Environmental Engineering
Dr Au obtained BEng (1995) and MPhil (1997) from the Hong Kong University of Science and Technology and PhD (2001) from the California Institute of Technology, all in civil engineering. Before the present position he has held academic positions at NTU, City University of Hong Kong and University of Liverpool. Dr Au is a chartered civil engineer in Hong Kong. He chaired the ASCE Dynamics Committee (2014-17); is Associate Editor of Structural Health Monitoring (Sage), Earthquake Spectra (EERI/Sage) and Journal of Risk & Uncertainty Analysis in Engineering (ASCE-ASME); and is Editorial Board Member of Probabilistic Engineering Mechanics (Elsevier).

Dr Au performs fundamental and applied research in engineering reliability methods and structural health monitoring. He has developed an advanced Monte Carlo method called Subset Simulation that has found applications in uncertainty propagation and rare event simulation in many disciplines, e.g., earthquake, geotechnical, aerospace, fire, electrical, meteorological and nuclear engineering. The work led to the monograph ‘Engineering Risk Assessment with Subset Simulation’ (Wiley). Dr Au is experienced in full-scale dynamic testing of structures and has consulted on structural vibration projects on long-span pedestrian bridges, large-span floors, super-tall buildings and microtremors for seismic microzonation. Recent research in this area focuses on fundamental theory, computational algorithm and practical implementation of Bayesian approach for modal identification and structural system identification of full-scale structures. The work led to the monograph ‘Operational Modal Analysis: Modelling, Bayesian Inference, Uncertainty Laws’ (Springer). Dr Au is a recipient of the IASSAR Junior Research Prize (2005), Nishino Prize (2011), JSPS Fellowship (2014) and Tan Chin Tuan Fellowship (2015).
Structural vibration testing, structural health monitoring, engineering risk methods, Monte Carlo methods
 
  • Cost effective methodologies for in-situ dynamic testing and monitoring
  • Tracking changes and detecting anomalies in structural health monitoring
  • Vulnerability Assessment of Precast Reinforced Concrete Structures to Blast and Subsequent Progressive Collapse
  • Vulnerability Assessment of Precast Reinforced Concrete Structures to Blast and Subsequent Progressive Collapse (PI: Fung Tat Ching)
  • Vulnerability Assessment of Precast Reinforced Concrete Structures to Blast and Subsequent Progressive Collapse (PI: Ivan Au)
  • Vulnerability Assessment of Precast Reinforced Concrete Structures to Blast and Subsequent Progressive Collapse (PI: Tan Kanghai)