I started out doing a degree in Rocket Science at Leicester University, before specialising in the Science of Acoustics with a Masters at Salford University. I started my working life as an Architectural Acoustic consultant, working on the design of schools, hospitals and the odd concert hall. After 7 years in that industry, where I spent most of my spare time coding and messing around with technology, I decided to change career and enrolled on the Computer Science (CS) Masters at Newcastle University.
I really enjoyed the CS Masters, which culminated in a project to create a laser wielding robot as part of Prof. Paul Watson’s SiDE project. Through Prof. Watson I was introduced to the CDT in Cloud Computing for Big Data and instantly saw a fit with the areas of CS that I enjoyed the most. I was thrilled to be accepted on to the first year of the CDT and have the opportunity to specialise in an interesting and exciting new field.
My PhD project is focused around elastic scaling of event processing systems for the Internet of Things. This combines the hardware knowledge I gained from my robot project with the cloud computing and statistics skills I gained in the 1st year of the CDT.
Tom’s research will investigate the use of mathematical models and statistical learning methods, to make resource scaling decisions for distributed event processing systems. These decisions will be based on maintaining response time targets.
In my spare time I still mostly play around with technology, predominantly in an ongoing project to make my home “smart” using open hardware and software, to varying degrees of success. I am a keen cyclist (we have started a CDT cycling club) and I spend a lot of time attending the various technology groups that are active in Newcastle (there is such a great developer community in the North East).
Find out more about Tom's research here: https://www.youtube.com/watch?v=_rnUhM4mqEI&index=9&list=PLH-UxM-Y15-LOcgvdHhavJbA1v7TZmFd8
Credit to Thomas Jackson and John hill for the research videos.