Photo of Andrew Young
  • United Kingdom

20132019

Research output per year

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Personal profile

Personal Statement

Currently, I am a Research Associate at the University of Strathclyde in the department of Electronic and Electrical Engineering. My current project is to improve the understanding of the graphite reactor core of an Advanced Gas-cooled Reactor (AGR) through analysis of refuelling data (EDF Energy). My research interests include condition monitoring, data analytics and signal and image processing.

I received the M.Eng degree in Electrical and Mechanical Engineering from the University of Strathclyde in 2013. After this, I received my Ph.D degree in 2017 also from the University of Strathclyde working on an Engineering and Physical Science Research Council (EPSRC) CASE award for the University of Strathclyde and BAE Systems in Atmospheric Correction and Target Detection in Aerial Hyperspectral Imagery

All this has led me to have a greater understanding of the design, construction and implementation of many mechatronic systems. I have the ability to analyse complex engineering problems, evaluate and then implement the solutions. I work well individually or as part of a group to complete the given task within the specified time-scale while still producing an excellent standard of work. I also have the ability to apply the knowledge and skills learned through my time at the university when performing these tasks.

Education/Academic qualification

Master of Engineering, University Of Strathclyde

24 Sep 20081 Jul 2013

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Projects

Research Output

Advanced gas-cooled reactor fuel channel bore estimation model

Young, A. & West, G., 10 May 2019. 1 p.

Research output: Contribution to conferencePoster

Open Access
File
  • A generalized model for fuel channel bore estimation in AGR cores

    Young, A., Berry, C., West, G. M. & McArthur, S. D. J., 13 Jun 2019, (Accepted/In press) In : Nuclear Engineering and Design. 13 p.

    Research output: Contribution to journalArticle

  • Thesis

    Atmospheric correction and anomaly detection of remotely sensed hyperspectral imagery

    Author: Young, A., 25 Apr 2017

    Supervisor: Marshall, S. (Supervisor) & Gray, A. (Supervisor)

    Student thesis: Doctoral Thesis