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We have 15 anomaly detection PhD Projects, Programmes & Scholarships for Self-funded Students

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anomaly detection PhD Projects, Programmes & Scholarships for Self-funded Students

We have 15 anomaly detection PhD Projects, Programmes & Scholarships for Self-funded Students

Anomaly detection for pathology diagnosis by using EEG

Electroencephalograph (EEG) is an economical and convenient auxiliary diagnosis tool for many neurological diseases (e.g., stroke, epilepsy, depression etc.), In recent years, machine learning has shown great potential in clinical EEG anomaly detection. Read more

Searching for Anomalies on Mars [SELF-FUNDED STUDENTS ONLY]

  Research Group: Visual Computing
In recent years, space agencies such as NASA and the European Space Agency (ESA) have conducted extensive planetary surveys, amassing a colossal volume of data from various celestial bodies, including Mars, the Moon, and through radar surveys of Venus and smaller celestial objects. Read more

Zero Trust Automation: Advancing Security with AI-based Intrusion Detection System

We are seeking an exceptional PhD candidate to join our cutting-edge research projects aimed at developing innovative solutions to enhance cyber security with deep learning-based continuous monitoring and response systems for real-time security incident detection and response in zero trust environments. Read more

Predictive Control and Generative AI for Integration of EVs, ESS, and Renewables in Safe and Autonomous Smart Grids

  Research Group: Intelligent Systems and Robotics
Abstract. This research aims to develop a framework for integrating Electric Vehicles (EVs), Energy Storage Systems (ESS), and Renewable Energy Sources (RES) into smart grids using predictive control and generative AI. Read more

Advanced Methods in Hyperspectral Imagery Analysis for Smart Sensing Applications

Hyperspectral imagery, an extension of traditional imaging, has proven to be a significant tool in various scientific fields due to its ability to detect and identify objects based on their unique spectral signatures. Read more

Security of Electric Vehicle Charging Infrastructure

The rise of Electric Vehicles (EVs) drives an increase in demand and rapid development of the charging infrastructure, where a charger interconnects with an EV and a charging provider as well as a site controller to authorise charging sessions and report any errors. Read more

Integration of Internet of Things (IoT) and Artificial Intelligence (AI) for Flame Monitoring and Safety Enhancement in Industrial Settings

This research project presents an exceptional opportunity for individuals interested in harnessing the power of Internet of Things (IoT) and Artificial Intelligence (AI) to enhance flame monitoring and safety protocols in industrial environments. Read more

CDT-QTE: Efficient end-to-end quantum machine learning strategies for imaging

Supervisory Team: Prof Thomas Blumensath. Project description: This project is part of the EPSRC Centre for Doctoral Training in Quantum Technology Engineering at the University of Southampton. Read more

Intelligent Maritime Systems: Advancements in Situational Awareness through Artificial Intelligence

Embark on a transformative PhD opportunity in marine engineering, where you will pioneer the development of cutting-edge digital tools and algorithms to enhance the perception capabilities of future intelligent marine systems. Read more

Zero-Trust Security in 6G Networks

6G, as the successor to 5G, is expected to offer even more capabilities and services. This will undoubtedly present new security challenges and necessitate enhanced security measures. Read more

Towards an Evolving Approach to Evaluate Security Monitoring Tools

With continuing growth in the size of computer networks and applications, the potential damage that can be caused is increasing. Intrusion detection is a common cyber security mechanism used to detect malicious activities in host and/or network environments. Read more
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