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algorithm PhD Projects, Programmes & Scholarships
We have 87 algorithm PhD Projects, Programmes & Scholarships
Man-machine collision detection algorithm
The main purpose of this topic is to realize the construction and motion control of the cooperative manipulator system experimental platform. Read more
Advanced Algorithm Design for Inferring Evolution
Phylogenetic “family trees” are a primary tool used for studying evolution such as the spread of antibiotic resistant bacteria or transmission of COVID-19. Read more
An Intelligent, Secured Lightweight Algorithm for 6G IoT apps
6G incorporates software-defined networking (SDN) and network function virtualisation (NFV) technologies to enable dynamic security orchestration. Read more
Developing an algorithm for detecting placenta abnormalities
The placenta plays an important role during pregnancy by transporting nutrients to the fetus. Occasionally the placenta does not function properly, giving rise to a range of issues such as placenta accrete and intrauterine growth restrictions (IUGR). Read more
Optimal prediction of dynamical systems with incomplete data
Dynamical systems describe a variety of real-life problems related to evolution over time. It is often the case that the problems are so complicated that mathematical models for them either do not exist or are not accurate enough. Read more
Machine Learning and Hyper-heuristics
Hyper-heuristics (HH) have been successfully used to solve combinatorial problems from different problem domains, such as vehicle routing, bin packing and constraint satisfaction problems. Read more
Efficient and scalable consensus algorithms for decentralised cryptocurrencies [SELF-FUNDED STUDENTS ONLY]
A decentralised cryptocurrency, such as Bitcoin invented by Satoshi Nakamoto, is a digital currency that can be transferred between users in a peer-to-peer manner without a centralised authority such as a Bank. Read more
Information Fusion Navigation Algorithm based on Lidar-Vision Integration
At present, indoor unmanned vehicles are becoming more and more popular, but there are still many problems in their navigation and positioning algorithms, especially blind spots, edge-to-edge sweeping and spinning problems. Read more
Distributed Algorithm Wireless Sensor Networks
Wireless sensor network (WSN) is a group of a spatially distributed and dedicated sensors communicating via a wireless medium and cooperatively monitoring the physical conditions of the environment such as temperature, sound, speed, pressure, humidity, etc. Read more
Visualisable AI (SF24/EE/CIS/PANDAAI)
Visualization plays a pivotal role in enhancing transparency, trust, and robustness in AI models. By providing intuitive and interpretable representations of complex data and model behaviours, visualization allows stakeholders to understand how AI systems make decisions, thereby promoting transparency. Read more
Development of Artificial Intelligence Solution for Prediction of Preterm Birth
Introduction. This is an exciting opportunity to study a PhD as part of a cotutelle arrangement between Coventry University, UK and Deakin University, Melbourne, Australia. Read more
Research on Identification Methods of Industrial Networked Control System with Multi-rate Characteristics
Successful completion of this PhD programme could lead to worldwide career opportunities in academia. Read more
Generative AI for the Next Generation of Manufacturing Automation Systems PhD
The application of emerging technologies such as artificial intelligence, digital twin, blockchain, and the internet of things are growing fast, and their integration with complex manufacturing systems enables effective digitalisation and automation transition. Read more
UAV-assisted Distributed Blockchain Technology to Secure the IoTs from DDoS
Internet-of-Things (IoT) is an ecosystem of sensors and physical devices that are accessible through the Internet. Read more
Using MRI, MEG, and machine learning to better classify severe mental illness
Schizophrenia and bipolar disorder are severe mental health disorders affecting more than 64 million people worldwide. Despite their prevalence, their aetiology is poorly understood and diagnoses still rely on clinical categorisation of symptoms rather than biological markers. Read more