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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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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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: MES RK
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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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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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MDO-WT: Advanced study of aerodynamics, fluid-structure interaction and design optimization of wind turbines (MDO-WT)
1/1/20 → 12/31/22
Project: FDCRGP
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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 Access -
Physics-informed neural network for fast prediction of temperature distributions in cancerous breasts as a potential efficient portable AI-based diagnostic tool
Mukhmetov, O., Zhao, Y., Mashekova, A., Zarikas, V., Ng, E. Y. K. & Aidossov, N., Dec 2023, In: Computer Methods and Programs in Biomedicine. 242, 107834.Research output: Contribution to journal › Article › peer-review
Open Access -
A novel dynamic adaptive unstructured mesh algorithm for simulating multi-object relative motion in incompressible fluid
Su, X., Zhang, K., Zhao, Y., Zhang, M. & Zhang, J., 2022, (Accepted/In press) In: International Journal for Numerical Methods in Fluids.Research output: Contribution to journal › Article › peer-review
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Arbitrary Hybrid Turbulence Modeling Approach for High-Fidelity NREL Phase VI Wind Turbine CFD Simulation
Kamalov, B., Batay, S., Zhangaskhanov, D., Zhao, Y. & Ng, E. Y. K., Jul 2022, In: Fluids. 7, 7, 236.Research output: Contribution to journal › Article › peer-review
Open Access -
Early detection of the breast cancer using infrared technology – A comprehensive review
Mashekova, A., Zhao, Y., Ng, E. Y. K., Zarikas, V., Fok, S. C. & Mukhmetov, O., 2022, In: Thermal Science and Engineering Progress. 27, 101142.Research output: Contribution to journal › Article › peer-review
Open Access25 Citations (Scopus)