Research projects in Information Technology

We are seeking a highly motivated and innovative PhD student interested in exploring the opportunities for using AI to enhance personalisation of services and resource recommendations, ultimately optimising the overall user journey. This project will improve the care pathway experience for young people and families accessing mental health services through the headspace website.

Possible approaches to addressing this challenge might include:

This project explores the role of technology in facilitating playful eating experiences, developing a novel understanding of how interactive technology can – and should – be designed to promote positive eating experiences. 

The rise of technology that supports a partnership between user and computer highlights an opportunity for a new era of “human-computer integration”, contrasting the previously dominant paradigm of computers functioning as tools.

There is an opportunity to prototype interactive muscle memory systems and study their use in order to understand what designers can learn from remembering activities that involve the active human body in regard to designing interactive systems. 

There is an opportunity to prototype digital water play systems and examine users’ aquatic body-environment interactions to derive an understanding of digital technology’s opportunities to facilitate novel bodily water play interactions in-water, on-water and underwater. 

With drones getting smaller and smaller, we regard them as physical pixels that can be placed anywhere in space, allowing us to experience digital content in the physical world in novel playful ways.

There is an opportunity to enrich indoor rock-climbing or bouldering through interactive technology. This project builds on prior work and combines bouldering with Hololens and motion capture.

This practice-based research involves further development of the AirSticks, a hardware/software package which allows the triggering and manipulation of sound and visuals in a 3D playing space, as a gestural instrument for live electronic music performance, music education and general health and wellbeing in collaboration with our interdisciplinary team at SensiLab. This can be done through new performances, new software or new hardware. How can we reinvent the connect between our bodies, our ears and our creativity, and what new applications for the AirSticks can be discovered?

This project will seek to further the research into and development of machine learning techniques that may be used to triage, classify, and otherwise process material of a distressing nature (such as child exploitation material). It will involve the use of deep neural networks for image, video, audio, social network, and/or text classification.

This project aims to identify novel methods for inferring where and when photographs and videos were recorded from features of the material itself. A key requirement of image processing in a Law Enforcement (LE) context is to augment classification of material by identifying its spatio-temporal context.