University of Surrey

Explore numerical methods that exploit near-resonance theory to accelerate nonlinear oscillatory PDE simulations in parallel computing. Develop and test algorithms that improve speed and accuracy for applications in flu…

This research advances computational techniques essential for climate prediction, fluid simulation, and geophysical modelling by enabling a…

Explore how quantum computing can be harnessed to calculate nuclear level densities—key to understanding nuclear reactions and decays. Join a pioneering effort to develop quantum algorithms in a top UK research environm…

This research advances the application of quantum computing to nuclear physics, potentially revolutionizing how nuclear excited states are …

Explore advanced numerical methods that leverage near-resonance theory to simulate complex nonlinear oscillatory PDEs efficiently. Develop parallel-in-time algorithms optimized for scalability and energy efficiency in h…

This research enhances computational approaches for simulating critical oscillatory PDEs used in fluid dynamics, weather prediction, and cl…

Develop parallel numerical methods informed by near-resonance theory to accelerate nonlinear oscillatory PDE models. Explore how fast oscillations influence long-term dynamics and optimize algorithms for high-performanc…

This research advances understanding and simulation capability of nonlinear oscillatory PDEs critical for fluid dynamics, weather, and clim…

Fully funded PhD at the University of Surrey in collaboration with Sony Interactive Entertainment developing AI agents for automated bug discovery and quality-of-experience evaluation in video games.

This interdisciplinary PhD focuses on FRESH 3D printing of sustainable porous calcium phosphate scaffolds for bone tissue engineering, combining materials science, chemistry, biology, and medicine.

This PhD explores efficient deployment of post-quantum cryptography in 6G wireless systems by integrating cryptographic processes with wireless channel properties to improve security, scalability, and energy efficiency.

This PhD project in collaboration with Network Rail focuses on developing next-generation finite element models for fatigue analysis of riveted railway bridges. The research aims to develop advanced calibrated numerical…