Imperial College London

ProfessorZahraSharif Khodaei

Faculty of EngineeringDepartment of Aeronautics

Professor in AerospaceStructural Durability&HealthMonitoring



+44 (0)20 7594 5116z.sharif-khodaei




329City and Guilds BuildingSouth Kensington Campus





Brief Biography:

Zahra Sharif Khodaei is a Professor in Aerospace structural durability and health monitoring. She obtained her PhD from Czech Technical University in Prague in numerical modelling of functionally graded materials in 2008. Prior to her lectureship post in 2014, she was a research associate at Imperial College London, department of Aeronautics since 2009 where she conducted research in fatigue modelling and analysis of metallic and Fibre Metallic Laminates (FML) and more significantly in developments of technologies and methodologies for Structural Health Monitoring (SHM) of composite structures.

She is a Fellow of the royal Aeronautical Society and a Fellow of Women in engineering society.



Zhuang M, Morse L, Khodaei ZS, et al., 2023, Implicit Differentiation-Based Reliability Analysis for Shallow Shell Structures with the Boundary Element Method (vol 156, pg 223, 2023), Engineering Analysis With Boundary Elements, Vol:157, ISSN:0955-7997, Pages:166-166

Li H, Khodaei ZS, Aliabadi MHF, 2023, FFT-based multiscale scheme for homogenisation of heterogeneous plates including damage and failure, Computer Methods in Applied Mechanics and Engineering, Vol:416, ISSN:0045-7825

Zhuang M, Morse L, Khodaei ZS, et al., 2023, Implicit differentiation-based reliability analysis for shallow shell structures with the Boundary Element Method, Engineering Analysis With Boundary Elements, Vol:156, ISSN:0955-7997, Pages:223-238

Ren F, Giannakeas IN, Khodaei ZS, et al., 2023, Theoretical and experimental investigation of guided wave temperature compensation for composite structures with different thicknesses, Mechanical Systems and Signal Processing, Vol:200, ISSN:0888-3270

Rodrigues FDS, Giannakeas IN, Khodaei ZS, et al., 2023, Probability based damage detection on a composite fuselage panel based on large data set of guided wave signals, Ndt & E International, Vol:139, ISSN:0963-8695

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