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We have 76 Computational Mathematics PhD Projects, Programmes & Scholarships for Self-funded Students
Computational Mathematics PhD Projects, Programmes & Scholarships for Self-funded Students
We have 76 Computational Mathematics PhD Projects, Programmes & Scholarships for Self-funded Students
Optimizing phage-antibiotic-synergies to kill bacterial pathogens
Phage therapy, the use of viruses that only infect bacterial cells and kill them, is a promising potential solution to the antimicrobial resistance crisis that is threatening modern medicine1. Read more
Brain-inspired See-Think-Act Intelligent Machines
There is an ongoing revolution in developing autonomous intelligence machines to greatly improve the effectiveness and efficiency of sensory perception, decision-making, and active control. Read more
Data-driven modeling for crowd dynamics
Predicting the behaviors of pedestrian crowds is of critical importance for a variety of real-world problems. Data driven modeling, which aims to learn the mathematical models from observed data, is a promising tool to construct models that can make accurate predictions of such systems. Read more
Data driven approaches for nonlinear inverse problems
The project aims to develop new techniques for solving complex inverse problems that arise in various scientific fields. In many real-world applications, such as medical imaging, geophysics, and material science, we often seek to recover the hidden properties of a system from indirect and noisy measurements. Read more
Providing Computational Insights into Cardiac Xenotransplantation (XenoSim)
Overview. We are at the dawn of a new medical age, marked by the first pig-to-human heart transplant in January 2022, and the second operation in September 2023. Read more
Model-predictive control of brain plasticity for optimal non-invasive brain stimulation
Neuroplasticity is the mechanism that underpins the brain’s ability to learn or recovery from traumatic events, but also its deterioration underlies several Neurodegenerative diseases and mental illnesses. Read more
Nonlinear Model Predictive Control
Optimization-based control explores the use of optimization algorithms for feedback control of dynamical systems. For example, model predictive control (MPC) is a widely used optimization-based control method, allowing systematic and optimal handling of constraints, nonlinearities and uncertainties. Read more
Efficient and Reliable Numerical Solution of Dynamic Optimization
Dynamic optimization is integral to many aspects of science and engineering, commonly found in trajectory optimization, optimal control (e.g. Read more
Mesoscopic calculations of polymer drag reduction
It is known that the addition of a small concentration of polymer chains in a turbulent boundary layer reduces significant turbulent drag in this boundary layer. Read more
Scalable continuous Machine Learning for non-Stationary Systems
Nonlinear time series prediction attracts researchers from many different disciplines such as engineering systems condition monitoring and control, financial markets prediction and energy management, etc. Read more
Understanding Nonlinear Dynamics of Associative Polymers for Healthcare and Sustainable Applications: Computer Simulations and Mathematical Modelling
Introduction. Associative polymers are macromolecules containing associative groups, also called stickers, that undergo reversible association to physically cross link the polymers into transient networks. Read more
Numerical Algorithms for Molecular Systems and Data Science
Details: . Stochastic differential equations (SDEs) are widely used in science and engineering in order to model systems where random effects play a significant role. Read more
Numerical Algorithms and Analysis for Deterministic and Stochastic Systems
Details. Complex systems in biology, chemistry, and physics are often modelled using ordinary/partial/stochastic differential equations. Read more
Neural Networks for Complex Dynamical Systems
Details. Dynamical systems are often solved/integrated by a suitable numerical discretisation method in such a way that certain properties of the underlying systems will be preserved. Read more
Multimodal remote sensing and Machine Learning for Precision Agriculture
With the world population expected to reach 8.5 billion by 2030 and 9.7 billion by 2050, the demand for food and agricultural products will rise significantly in the coming years. Read more