Dr Shihab Khan holds a joint PhD from Monash University and Indian Institute of Technology Bombay. He has previously graduated with distinction in both, his Bachelor of Civil Engineering and his Master of Engineering Structures. He has authored scientific studies on probabilistic structural engineering in world-reputed peer-reviewed journals and presented at various international engineering conferences. Currently, he is working as a Research Fellow at Monash University. He has also worked on many industrial consultancy projects in Australia and India.

Dr Khan specialises in (i) probabilistic assessment of degrading infrastructure using structural reliability, (ii) calibration of structural design codes, and (iii) data science techniques for structural engineering and health monitoring. He has developed decision-support systems for the management of overloaded highway bridges using information value analysis. He has applied his expertise to various industrial consultancy projects, including probabilistic assessment of highway and railway bridges in Australia, health monitoring of highway bridges in Australia, and seismic assessment of old masonry buildings in India. 

• Probabilistic risk, safety, and reliability estimation

• Calibration of Structural Design Codes

• Life-cycle cost assessment, management, and optimization of structures

• Uncertainty quantification for spatially degrading systems

• Structural Health Monitoring of degrading infrastructure

• Machine learning-based predictive modelling solutions

• Probabilistic monitoring and assessment of bridges

• Structural reliability assessment of corroding steel truss bridge, Melbourne, Australia (2022)

  • PI: Prof. Colin Caprani

  • Responsibilities: Section analysis of critical members using Python; reading old structural drawings; modelling corrosion degradation; Load and Resistance uncertainty quantification; value of information analysis; Reliability assessment of critical members; calibration of bridge specific LRFD safety factors as per client’s risk appetite; preparation of report for client.

  • Relevant documents: AS5100.2, AS5100.6, AS5100.7, Historical steel handbook by Dorman & Long, ABCB 2019, ASNZ 1170

• Remaining life assessment of multi-story residential RC Building, Mumbai, India (2021)

  • PI: Prof. Siddhartha Ghosh

  • Responsibilities: 3D analysis of RC frame in ETABS; modelling corrosion degradation; performance evaluation as per Indian Standards; preparation of report for client.

  • Relevant documents: IS456; IS875; IS1893

• Probabilistic remaining service life estimation of steel storage tanks based on ultrasonic thickness measurements, Mumbai, India (2021)

  • PI: Prof. Siddhartha Ghosh

  • Responsibilities: Load and Resistance uncertainty quantification; Bayesian data assimilation for updating steel plate thickness uncertainty; modelling corrosion degradation and progression; estimation of probability of plate thickness failure; optimum inspection scheduling

  • Relevant documents: BS5500, API653.

• Structural Health Monitoring of Highway Bridges subject to permit loads, Victoria, Australia (2019)

  • PI: Prof. Colin Caprani

  • Responsibilities: recording strain gauge data using data-acquisition system at multiple sites; signal extraction and processing using raw data in MATLAB; evaluation of bridge rating factor using bridge analysis data; structural reliability assessment; preparation of reports for client.

  • Relevant documents: AS5100.2, AS5100.7

• ASCE 41-13 based Tier 2 seismic evaluation of 120 year old Masonry building, India (2018)

  • PI: Prof. Siddhartha Ghosh

  • Responsibilities: development of ETABS model for structural analysis of the masonry building; evaluation of seismic performance of building based on ASCE 41-13 Tier 2 check; preparation of project summary report for client; evaluation of proposed retrofitting work; assist in planning of detailed inspection campaign for the building.

  • Relevant documents: ASCE 41-13; IS456 2000; IS875; IS1893; Historical steel handbook by Dorman & Long