Projects per year
Personal profile
Research interests
1) Computational Fluid Dynamics-Discrete Element Methods-Fluid-Structure Interaction (CFD-DEM-FSI); 2) Hi-fidelity Concurrent Multidisciplinary Design Analysis and Optimization(MDAO); 3) Biomechanics; 4) Physics-informed Neural Network/Physics-informed Machine Learning (PINN/PIML) based Simulation; 5) Renewable Energy (Wind Energy).
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Mechanical Engineering, PhD, University of Manchester
Award Date: Sept 1 1992
Mechanical Engineering, MSc, University of Manchester
Award Date: Jan 1 1989
Mechanical Engineering, Xi'an Jiaotong University
Award Date: Sept 1 1985
External positions
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- 1 Similar Profiles
Collaborations and top research areas from the last five years
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BRAVE: Buckling-resistant double- & multi-layered shells with complex topologies for aerospace and land vehicles
Melnikov, A., Zhao, Y. & Kanguzhin, B.
1/1/24 → 12/31/26
Project: CRP
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AP19678197: Integrating Physic-Informed Neural Network, Bayesian and Convolutional Neural Networks for early breast cancer detection using thermography
Zhao, Y., Ng, E., Zarikas, V., Mashekova, A., Mukhmetov, O. & Aidossov, N.
1/1/23 → 12/31/25
Project: Government
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CMM-SAND: CMM-SAND: Combined Multiscale/Multiphysics Experimental and Numerical Study of Sand Production Mechanisms in Oil Reservoirs
Zhao, Y., Sonny, I., Shabdirov, D. & Shabdirova, A.
1/1/22 → 12/31/24
Project: CRP
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АР08857347: Application of artificial intelligence to complement thermography for breast cancer prediction
Zhao, Y., Ng, E. Y. K., Zarikas, V., Mashekova, A., Mukhmetov, O. & Aidossov, N.
1/1/20 → 12/31/22
Project: Government
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Correction to: Sand Production Prediction with Machine Learning using Input Variables from Geological and Operational Conditions in the Karazhanbas Oilfield, Kazakhstan (Natural Resources Research, (2024), 33, 6, (2789-2805), 10.1007/s11053-024-10389-3)
Shabdirova, A., Kozhagulova, A., Samenov, Y., Minh, N. & Zhao, Y., Dec 2024, In: Natural Resources Research. 33, 6, p. 2807 1 p.Research output: Contribution to journal › Comment/debate › peer-review
Open Access -
Integrated Aerodynamic Shape and Aero-Structural Optimization: Applications from Ahmed Body to NACA 0012 Airfoil and Wind Turbine Blades
Batay, S., Baidullayeva, A., Sarsenov, E., Zhao, Y., Zhou, T., Ng, E. Y. K. & Kadylulu, T., Aug 2024, In: Fluids. 9, 8, 170.Research output: Contribution to journal › Article › peer-review
Open Access -
Sand Production Prediction with Machine Learning using Input Variables from Geological and Operational Conditions in the Karazhanbas Oilfield, Kazakhstan
Shabdirova, A., Kozhagulova, A., Samenov, Y., Minh, N. & Zhao, Y., Dec 2024, In: Natural Resources Research. 33, 6, p. 2789-2805 17 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Three-Dimensional Physics-Informed Neural Network Simulation in Coronary Artery Trees
Alzhanov, N., Ng, E. Y. K. & Zhao, Y., Jul 2024, In: Fluids. 9, 7, 153.Research output: Contribution to journal › Article › peer-review
Open Access -
Adjoint-Based High-Fidelity Concurrent Aerodynamic Design Optimization of Wind Turbine
Batay, S., Kamalov, B., Zhangaskanov, D., Zhao, Y., Wei, D., Zhou, T. & Su, X., Mar 2023, In: Fluids. 8, 3, 85.Research output: Contribution to journal › Article › peer-review
Open Access5 Citations (Scopus)