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Primary supervisor Mohammad Goudarzi Research area Software Systems and Cybersecurity In NeuroDistSys (NDS): Optimized Distributed Training and Inference on Large-Scale Distributed Systems, we aim to
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, predict future needs, and allocate resources to minimize latency, energy consumption, and costs of running diverse applications in large-scale distributed systems. This project offers researchers and
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develop a concrete cryptographic algorithm. Although desired, background in advanced cryptography is not a must. It is also a plus to have some programming experience. Implementation of a PET algorithm
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popular tools applied to the production and creation of works of art. In 2018, AI Art made headlines around the world when a “work of art created by an algorithm” was sold at auction by Christie’s for
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to enable distributed clients (e.g., mobile devices) to jointly train a machine learning model without pooling their raw data into a centralised server. Because data never leaves from user clients
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and GWAS methodology Machine learning approaches for high-dimensional data Algorithm development and evaluation Applications of AI in biomedical research This project is suitable for students with an
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and GWAS methodology Machine learning approaches for high-dimensional data Algorithm development and evaluation Applications of AI in biomedical research This project is suitable for students with an
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Primary supervisor Mohammed Eunus Ali Co-supervisors Aamir Cheema Research area Databases and Distributed Systems Public transportation is vital for sustainable urban mobility, yet challenges like
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Primary supervisor Aamir Cheema Research area Databases and Distributed Systems This project aims to harness big data from ubiquitous smartphone sensors to reduce the impact of road transport on the
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Primary supervisor Aamir Cheema Research area Databases and Distributed Systems This PhD project will develop intelligent, data-driven methods for integrating diverse autonomous vehicles, such as