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Institute for Digital Technologies

PhD opportunities with the Institute for Digital Technologies at Loughborough University London

PhD: 3 years full-time; 6 years part-time
MPhil: 2 years full-time; 4 years part-time

Entry Requirements: An honours degree [2:1 or above] or equivalent overseas qualification.

The Institute for Digital Technologies offers research expertise and experience in a wide range of subject areas. Our academics are leading research in their field, and are extremely well-networked with professionals in a range of industries and sectors.

By pursuing one of our postgraduate research programmes, you will have the opportunity to work with top researchers and industry leaders, and gain first-hand experience of real life problem-solving. Our aim is to create a vibrant, enthusiastic and forward-thinking community, where world-leading academics and talented students work closely together to research world-leading inventions.

Institute for Digital Technologies

Current research within the Institute focuses on:

Interactive Media Systems

  • Future multimedia applications will heavily rely on advanced content processing and networking solutions.Interactive media systems integrate various digital media components including audio and video into a structured immersive digital environment, with multimodal interfaces allowing users to interact effectively. The research in interactive media is concentrated on three topics:
    • Audio-visual communication systems
    • Effective visualisation techniques
    • Augmented and virtual reality systems

Networks, Internet of Things (IoT) and Cyber Security

The four pillars of research within this area are:

  • Monitoring, analysing, modelling and adjusting the network configurations to optimise resources for better computing services and improved quality of experience
  • Developing next generation IoT systems with fully-autonomous smart behaviour capabilities
  • Building application driven, self-configurating capabilities for embedded intelligence and robustness
  • Developing novel mechanisms to identify, evaluate, enhance and mitigate cyber threats through signal processing and machine-learning algorithms.

Smart Systems

This research area encompasses the intelligent control of soft and physical systems by way of sensing, perceiving, and predicting future events and reacting to the data.

The specific research areas include:

  • Advanced signal processing to handle massive multi-dimensional and multi-modal sensor data, generated in real-time
  • Intelligent perception to understand, organise and prioritise the sensed data to deduce the system status at a given time
  • Intelligent mission planning and reacting to status changes by optimising the system resources to achieve goals under imposed constraints.

Available studentships

Applied AI in IOT and Consumer Intelligence in Digital Finance

Reference number: 2019/IDT/LUL

One of the key challenges is how to apply advanced machine learning techniques to the sensed multi-modal data through various types of IoTs to understand the behaviours of ‘human-human’, ‘human-machine’, and ‘machine-machine’ interactions. The project expects to make strides towards understanding and applying the AI technology to the real-world problem by investigating machine and deep learning algorithms on realistic and consumer based IoT scenarios to model the used systems with reliability, accuracy, effectiveness, scalability, transferability and robustness.

Ideal candidates will have the chance to conduct innovative research with leading researchers in the following sub-areas in a loop:

  • Human-machine interaction inclusive of human behaviours recognition, monitoring, and analysis
  • Machine-machine interaction entailing object-to-object connection and automation
  • Machine-human feedings with personalised content and the consequences in economic and social aspects

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