Dax Blackhorse-Hull

Aura Centre for Doctoral Training

Work with industry, drive innovation, develop a sustainable future.

Cohort 3 Student

Dax Blackhorse-Hull

Background: I completed my Electrical and Electronic Engineering Undergraduate at the University of Hull in the June of 2021. During this time, I engaged in multiple embedded systems projects which focussed on applications such as data logging and mechanical system control. In my dissertation I utilised supervised machine learning algorithms, on EEG datasets, to differentiate between imagined and physical hand movement. Over the summer of 2021, I interned at the University of Hull, where I worked in the development of sensor systems to validate models of wound dressings for a Smith + Nephew project.

Research Interests: My current academic work has been in developing performance analysis sensor systems, for biological applications, which readily translates into sensor design for wind turbine systems. I am also eager to explore how machine learning techniques can be integrated into control or analysis systems to improve a model’s operation and performance. 

Why you applied for the Aura CDT: I applied to Aura because it offered the opportunity to study the challenges facing an economically and socially significant industry. Initially from a multidisciplinary perspective to provide a holistic view of the industry, and then a more refined perspective through a research project.  I felt this study approach would give me the greatest opportunity to explore and understand the green industry before tackling one of its complex issues.

Contact: Dax.Blackhorse-Hull-2017@hull.ac.uk 

For an informal discussion, call +44 (0) 1482 463331
or contact auracdt@hull.ac.uk