Cybersecurity Threat Analysis and Cyber-Attack Attribution with AI-Driven Solutions
Cybersecurity Threat Analysis and Cyber-Attack Attribution with AI-Driven Solutions
About the Project This PhD project automates cyber-attack attribution using AI and NLP, enhancing defence strategies against evolving cyber threats. Objectives include dynamic attacker identification, a threat intelligence dashboard, and … Read More Read More
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Machine Learning Algorithm-Based Inverse Design of Metasurfaces
Machine Learning Algorithm-Based Inverse Design of Metasurfaces
About the Project This PhD project aims to develop machine learning algorithms for the inverse design of metasurfaces, targeting applications in intelligent sensing for complex environments, such as biomedical fields … Read More Read More
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Nanoporous silica memristor for next generation of neuromorphic computing and AI
Nanoporous silica memristor for next generation of neuromorphic computing and AI
About the Project This project will develop a novel memristor device using nanoporous materials for the new generation of time and power efficient neuromorphic computing and AI. The exponential growth … Read More Read More
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Resilient Resource Allocation in Dynamic Settings under Uncertainty (RRADSU)
Resilient Resource Allocation in Dynamic Settings under Uncertainty (RRADSU)
About the Project Supervisory Team : Dr Bahar Rastegari, Dr Vahid Yazdanpanah, Prof Sebastian Stein Allocation of scare resources is prevalent in our lives. From allocating drivers and vans for … Read More Read More
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Integrable ansatze for circuit architectures for quantum machine learning
Integrable ansatze for circuit architectures for quantum machine learning
About the Project This project will incorporate specific choices of configurations of quantum state preparation gates that use integrability to control the search spaces to be explored. Machine learning methods … Read More Read More
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Towards a clinical MEG system: theoretical and practical insights into the use of optically pumped magnetometers
Towards a clinical MEG system: theoretical and practical insights into the use of optically pumped magnetometers
About the Project Magnetoencephalography (MEG) is a non-invasive medical imaging technique that allows characterisation of human brain electrophysiology by measuring magnetic fields generated by neural currents. Since its invention, MEG … Read More Read More
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Characterisation of tissue microstructure from non-invasive MRI using Machine Learning
Characterisation of tissue microstructure from non-invasive MRI using Machine Learning
About the Project The characterisation of biological tissue microstructure in vivo and non-invasively is of outmost interest in science. If successful, it could reveal unique insights into biological processes, including … Read More Read More
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Advanced numerical methods for solving the forward problem in E/MEG
Advanced numerical methods for solving the forward problem in E/MEG
About the Project Electroencephalography (EEG) is a technique that measures the electric potential originating from the brain using electrodes located on the scalp. Its main purpose is to characterise the … Read More Read More
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Modeling Chinese history with Artificial Intelligence and Natural Language Processing
Modeling Chinese history with Artificial Intelligence and Natural Language Processing
About the Project Applications are invited for a self-funded PhD project on applications of AI and/or NLP to the study of historical China. This PhD will be based in the … Read More Read More
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The semiring of partial transformations: an algebraic and algorithmic approach to modularity
The semiring of partial transformations: an algebraic and algorithmic approach to modularity
About the Project This project will aim to design algorithms to efficiently solve equations in the semiring of partial transformations. This is a theoretical project in an area that combines … Read More Read More
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