Student topics

Design relies on prototyping methods to help envisage future design concepts and elicit feedback from potential users. A key challenge the design of human-robot interaction (HRI) with collaborative robots is the current lack of prototyping tools, techniques, and materials. Without good prototyping tools, it is difficult to move beyond existing solutions and develop new ways of interacting with robots that make them more accessible and easier for people to use.This project will develop a robot collaboration prototyping toolkit that combines …

Study level

PhD

Faculty

Faculty of Creative Industries, Education and Social Justice

School

School of Design

Research centre(s)

Design Lab

Complex manufacturing environments characterised by high value and high product mix manufacturing processes pose challenges to Human-Robot Collaboration (HRC). Allowing people to see what robots are ‘thinking’ will allow workers to efficiently collaborate with co-located robotic partners. A tighter integration of work routines requires improved approaches to support awareness in human-robotic co-working spaces. There is a need for solutions that also let people see what the robot is intending to do so that they can also efficiently adjust their actions …

Study level

PhD

Faculty

Faculty of Creative Industries, Education and Social Justice

School

School of Design

Research centre(s)

Design Lab

Measuring visual acuity is in preschool children is challenging. In particular, young children will be prone to making mistakes in identifying symbols on eye charts, even when they can see what those symbols are, so called “false negative responses”.This project uses an established vision assessment protocol, EVA testing, and assesses the extent of false negative responses in this task. The protocol assesses the effects of an intervention, pointing to the target on a card, which may decrease false negative responses. …

Study level

PhD

Faculty

Faculty of Health

School

School of Clinical Sciences

Research centre(s)

Centre for Vision and Eye Research

In today’s highly dynamic markets, companies seek to increase customer trust to gain a competitive advantage based on aspects such as customer engagement, retention, advocacy, and pricing. However, while a large body of trust research exists, little is known regarding the operative return on trust.The project explores these trust economics to quantify the impact of trust gains to guide organisations and utilise their resources more effectively. In this context, trust-related key performance indicators have to be identified to explore their …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Business and Law

School

School of Accountancy

Research centre(s)

Centre for Future Enterprise

Sorting waste or recyclables is an important but unpleasant job, currently done by specialised machinery and humans for the hard bits.  What are the core challenges that could be done by "robots that see". This is a challenging problem in perception, dynamic path planning and control.

Study level

PhD

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics

This project will develop a novel localization pipeline based on implicit map representations. Unlike traditional approaches that use explicit representations like point clouds or voxel grids, the map in our project is represented implicitly in the weights of neural networks such as Neural Radiance Fields (NeRF). You will get a chance to develop a new class of localization algorithms that work directly on the implicit representation, bypassing the costly rendering step from implicit to explicit representation. The designed algorithms will …

Study level

PhD

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics

In deep learning models, language models and word embedding methods have become popular to understand the context of text data. Popular language models such as BERT have limitations in terms of the token length. There exist some corpora that have longer text with an average of 1000 tokens. Additionally, these corpora are text-heavy and only include some images.In our prior works, we have developed several multi-modality models on social media datasets.

Study level

Master of Philosophy, Honours, Vacation research experience scheme

Faculty

Faculty of Science

School

School of Computer Science

Research centre(s)

Centre for Data Science

Praeclarus is an open-source software framework that aims to facilitate data pre-processing for process mining. Process mining is specialised data mining focusing on process-data. It is of high interest to industry, with the market doubling every two years (e.g., increasing from $550M in 2020 to $1B in 2022). This market increase has meant that big companies like Microsoft, SAP, and IBM are acquiring process mining vendors such is Minit, Signavio, and myInvenio.Recent process mining surveys show that more than 60% …

Study level

PhD, Master of Philosophy, Honours, Vacation research experience scheme

Faculty

Faculty of Science

School

School of Information Systems

Software vulnerability is a major threat to the security of software systems. Thus, the successful prediction of security vulnerability is one of the most effective attack mitigation solutions. Existing approaches for software vulnerability detection (SVD) can be classified into static and dynamic methods. Powered by AI capabilities, especially with the advancement of machine learning techniques, current software has been produced with more sophisticated methodologies and components. This has made the automatic vulnerability proneness prediction even more challenging. Recent research efforts …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Science

School

School of Computer Science

This project concerns computer vision and statistical analysis of performance in professional level matches in the game of squash.The goal is to use computer vision and existing systems to capture and analyse patterns of play, allowing coaches and professional players to develop strategies to improve performance, to counter particular types of play and even to tailor game plans to attack individual opponents.

Study level

PhD, Master of Philosophy, Honours, Vacation research experience scheme

Faculty

Faculty of Science

School

School of Computer Science

Research centre(s)

Centre for Data Science

In 2015, the Food and Drug Association (FDA) approved a lab-engineered virus for the treatment of melanoma (skin cancer). Since then, there has been a significant increase in the number of lab-grown viruses that are being tested in clinical trials as potential treatments of cancer. Unfortunately, it seems that a large number of patients in these clinical trials fail under this treatment and currently there is no way to distinguish between responders and non-responders to treatment.Fortunately, we can use mathematics …

Study level

Honours, Vacation research experience scheme

Faculty

Faculty of Science

School

School of Mathematical Sciences

Research centre(s)

Centre for Data Science

Successive revolutions in sequencing technology over the past two decades have led to an explosion in the availability of genomic data. Analysing biological datasets and identifying relationships within them is challenging - some of the process can be automated but interactive exploration offers a number of advantages, and supports serendipitous discovery.This project looks at visual analytics and sonification - the use of sound and musical encodings - to enhance our understanding of biological networks.

Study level

PhD, Master of Philosophy, Honours, Vacation research experience scheme

Faculty

Faculty of Science

School

School of Computer Science

Research centre(s)

Centre for Data Science