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.



Ren F, Giannakeas IN, Sharif Khodaei Z, et al., 2023, Sensitivity analysis of temperature effects on guided wave-based damage detection, Mechanical Systems and Signal Processing, Vol:196, ISSN:0888-3270

Reichmann B, Sharif-Khodaei Z, 2023, Ultrasonic guided waves as an indicator for the state-of-charge of Li-ion batteries, Journal of Power Sources, Vol:576, ISSN:0378-7753, Pages:1-11

Li Y, Sharif Khodaei Z, 2023, Accuracy of distributed strain sensing with single mode fibre in composite laminates under thermal and vibration loads, Structural Control and Health Monitoring, ISSN:1545-2255, Pages:1-13

Zhuang M, Morse L, Khodaei ZS, et al., 2023, Statistical Inference of Equivalent Initial Flaw Size Distribution for Fatigue analysis of an Anisotropic Material, Journal of Multiscale Modelling, ISSN:1756-9737

Li H, Khodaei ZS, Aliabadi MHF, 2023, Multiscale modelling of material degradation and failure in plain woven composites: A novel approach for reliable predictions enabled by meta-models, Composites Science and Technology, Vol:233, ISSN:0266-3538

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