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Jason Adair

a picture of Jason Adair

I am a Research Fellow at the University of Stirling, where I received my bachelor's degree in Computing Science and Psychology, and my PhD. My interests include evolutionary computation, machine learning, and explainability of AI. I am working on two concurrent projects:

TOGA: Towards Grammar-Aware Operators for
Genetic Improvement of Software

Software maintenance is one of the most time-consuming aspects of software development: valuable time is wasted on repair and improvements that could be better spent developing new features. Genetic Improvement (GI) is a new technique that applies search-based optimisation methods to improving existing code, with the potential to reduce developer effort in maintenance considerably. This project implements new GI operators that respect the Java programming language's grammar and test their effectiveness when applied to well-used open-source software projects.

Predictive Analytics of Sensor Data in Pork Production

Technology in pork production is commonly used to manage environments, allowing staff to react to spikes in ammonia, temperature fluctuations, etc. The by-product of these technologies is huge, underutilised datasets. Liaising with a number of third-party companies has allowed us to collect data regarding a variety of different environmental factors which we apply data analysis and predictive techniques to allow existing technologies to be used in administerial roles.

Profiles
Research Gate  
LinkedIn  

Publications:
Presented at: 
DEMOFEST 2011  
UKCI 2016  
SICSA AI THEME 2017  
MOD 2017  
EVOSTAR 2018  
SICSA PRE-EC 2018  



Feel free to email me at:
jason.adair
@cs.stir.ac.uk