Michael Davies

PROF

Accepting PhD Students

PhD projects

I am currently looking for PhD students under the following themes listed below. There is the opportunity to get university funding. As these are highly competitive, you are recommended to complete a formal application as soon as possible in order to be considered for any university funding opportunities.

Current Research Themes

Machine Imaging
Computational imaging relies on the acquisition of sensor measurements that indirectly inform about the imaged object and has a broad range of applications, from computational microscopy, medical imaging (CT, MRI, ultrasound), to sonar, radar, and seismic imaging. Current state-of-the-art methods are leveraging sophisticated machine learning (ML) solutions based on deep neural networks. However, supervised ML solutions necessitate unrealistic access to a large quantity of ground truth images.

One of the aims of this theme is to develop a foundational theoretical framework and algorithmic toolbox for learning to image with limited or no ground truth data. It will lay the foundations for a new wave of unsupervised ML-based computational imaging, with potential applications across a range of settings and imaging modalities from advanced medical imaging to robotics and autonomous systems. Unleashing the ML from ground truth data will enable the algorithms to exploit the larger quantities of unsupervised measurement data available to learn more complex and effective models leading to practical benefits of accelerated acquisitions and reduced imaging artifacts, as well as totally new imaging opportunities.

Data-Driven Computational Sensing and Imaging
Today's state-of-the-art imaging and sensing rely as much on computation as they do on sensor hardware. Furthermore, computational sensing and imaging is increasingly exploiting data-driven and machine learning solutions to enhance performance and develop novel hardware/software co-designed sensing systems. However, in critical scenarios such as medicine or defence and security it is vital that verifiable algorithmic solutions are used, which places restrictions on which machine learning approaches are admissible. Importantly, fully black box machine learning solutions should be avoided. This theme will therefore focus on the development of novel algorithmic and mathematical frameworks to exploit data and machine learning for imaging and sensing within a controlled explainable and verifiable manner. There will be a specific focus on RF and electro-optic/IR sensor modalities.

Sensor and Information Fusion
Sensor networks, sensor fusion and management techniques address key challenges in intelligence, surveillance, target acquisition, and reconnaissance (ISTAR). Opportunities in adaptive data-driven sensor tasking and resource management include adaptive sensor placement, adaptive waveform design to reflect the target reflection characteristics and channel environments, and adaptive sensor selection. Although these problems have solutions in specific use cases, this theme will consider scenarios with broader applications involving multiple heterogeneous sensors on single or multiple cooperative autonomous airborne platforms.

The solutions developed in this should be robust to dynamic and congested environments, adverse weather conditions, and mutual sensor interference. A range of algorithmic and signal processing or machine learning technologies will be considered, as well as specific technical challenges. For example, projects in this theme will consider aspects related to wide area motion imaging (WAMI), position, navigation, and timing issues (PNT); robustness to adversarial attack; sensor fusion and tracking applications; use of kernel and Monte Carlo methods; outlier-robust (and other metrics) messages in belief propagation algorithms; and scheduling in large dynamic networks. Probabilistic and Bayesian frameworks will be preferred to enable uncertainty quantification and management.

Network

Heriot-Watt University

External organisation: UK University / HEI

University of Strathclyde

External organisation: UK University / HEI

University of Edinburgh

External organisation: UK University / HEI

University of Bath

External organisation: UK University / HEI

Technische Universität München

External organisation: EU University / HEI

Queen Mary University of London

External organisation: UK University / HEI

Technicolor R and D

External organisation: Overseas Research Institute

Tampere University

External organisation: EU University / HEI

Technical University of Munich

External organisation: EU University / HEI

University of Manchester

External organisation: UK University / HEI

ABS Global Inc.

External organisation: Unknown

University of Illinois at Urbana-Champaign

External organisation: Overseas University / HEI

Sichuan University

External organisation: Overseas University / HEI

Thales UK

External organisation: Funding body

Philips Research China

External organisation: Overseas Other

University of Piraeus

External organisation: EU University / HEI

Vienna University of Technology

External organisation: EU University / HEI

University of Sheffield

External organisation: UK University / HEI

Technion - Israel Institute of Technology

External organisation: Overseas University / HEI

ADAS

External organisation: UK Other

Université Paris Diderot—Paris 7

External organisation: EU University / HEI

Grinnell College

External organisation: Overseas University / HEI

Technicolor

External organisation: EU Other

University of Michigan

External organisation: Overseas University / HEI

GE Research Center, Niskayuna

External organisation: Overseas Research Institute

DTU, Danmarks Tekniske Universitet

External organisation: EU University / HEI

TUW

External organisation: EU University / HEI

Ecole Normale Supérieure de Lyon

External organisation: EU University / HEI

Virginia Tech

External organisation: Overseas University / HEI

Idiap Research Institute

External organisation: Overseas Research Institute

University of Athens

External organisation: EU University / HEI

Gipsa-Lab

External organisation: EU Research Institute

Los Alamos National Laboratory

External organisation: Overseas Research Institute

Université catholique de Louvain

External organisation: EU University / HEI

INRIA-ENS

External organisation: Unknown

University of Southampton

External organisation: UK University / HEI

SRUC, Scotland’s Rural College

External organisation: UK University / HEI