Available Projects
The project list below helps self-funded and externally sponsored applicants (scholarship) connect with a prospective supervisor.
Applications are welcome from those who can support themselves or have funding already arranged. Such applications will go through the same level of academic assessment. Please see the fee arrangementsLink opens in a new window for PGR students.
MEDIA: Machine leEarning enhanceD optical Integrated sensing and communicAtion
MEDIA enables a single optical system to transmit data while simultaneously sensing objects, motion, position, and environmental changes. This PhD project will combine optical technologies, signal processing, and AI to develop shared waveforms and intelligent algorithms for reliable communication and accurate sensing. Applications may include smart energy systems, industrial automation, and environmental monitoring.
Primary supervisor: Tianhua Xu - Tianhua.Xu@warwick.ac.uk
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ICON: Intelligent semantic Communication for future Optical Networks
ICON moves beyond accurate bit transmission towards the semantic and effectiveness levels described by Shannon and Weaver. It will use AI to identify and transmit the meaning that matters, reducing unnecessary data while improving the efficiency and reliability of optical networks. The PhD student will also participate in the EU Horizon Europe SMART project and collaborate with international academic and industrial partners.
Primary supervisor: Tianhua Xu - Tianhua.Xu@warwick.ac.uk
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Identifying fibrillation areas via modelling heterogeneous tissue to facilitate ventricular tachycardia ablation
The project aims to develop a framework to model the dynamics of heterogeneous tissue using multivariate electrogram signals. The developed framework should be integrated into the existing surgical procedure. The project ultimately aims to improve patient outcomes.
Primary supervisor: Igor Khovanov - I.Khovanov@warwick.ac.uk
Low-Latency Telepresence Robotics
What if you could physically control a robot thousands of miles away — or even on another planet — as if you were standing right there? Telepresence robotics is turning this science fiction into reality, enabling remote surgery, hazardous site inspection, and assistive care through immersive mixed-reality (XR) interfaces.
Primary supervisor: Zhenhui Yuan - Zhenhui.Yuan@warwick.ac.uk
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Distributed Machine Learning for Collaborative Robotics
How can a team of robots learn, reason, and collaborate intelligently when communication is unreliable, bandwidth is limited, and computing resources are constrained? Distributed machine learning is enabling fleets of robots to share knowledge, coordinate decisions, and accomplish complex tasks without relying on a centralised AI system.
Primary supervisor: Zhenhui Yuan - Zhenhui.Yuan@warwick.ac.uk
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Identifying and Mitigating Power Grid Stability Risks from Artificial Intelligence Data Centres
Artificial intelligence (AI)-based technologies are being adopted across various sectors at an unprecedented scale. However, the computing resources required to run these algorithms, i.e., the AI data centers, are extremely power hungry, thus significantly increasing the burden on the electrical grid. The proposed PhD project will develop analytical methods to identify the threats from AI data centers to power grids and develop solutions to mitigate the risks.
Primary supervisor: Dr Subhash Lakshminarayana - Subhash.Lakshminarayana@warwick.ac.uk
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The 天美传媒 provides an inclusive working and learning environment, recognising and respecting every individual鈥檚 differences. We welcome applications from individuals who identify with any of the protected characteristics defined by the Equality Act 2010.