You have reached the small part of the Internet that I use to document my work, achievements and experiments. This is a part blog, part portfolio that I am making additions to as I do new stuff. On this site, you will find articles about competitions that I’ve entered, projects that I’ve worked on, and code that I’ve written. I am also revisiting past work and adding detail retrospectively whenever I get around to it.
I currently work as an embedded software engineer at Smith Electric Vehicles in North East England, having completed a graduate training programme with them in December 2013. The programme involved a 2-year work placement, along with a part time MSc in Reliable Embedded Systems at Leicester University (awaiting results…), under the watchful eye of Dr Michael J. Pont of SafeTTY Systems. My research was themed around reliable data logging from a Controller Area Network (CAN) bus; in particular, dynamically filtering out unwanted data using ‘Time-Triggered’ software architecture.
Prior to this, I studied at Middlesex University, graduating in 2011 with a BSc (1st Class Honours) in Engineering Product Design. Prior to starting this course, I gained over 5 years’ experience working as a CAD Technician for various structural engineering consultancies.
Whilst at Middlesex, I became increasingly interested in intelligence of machines, and their awareness of their surroundings, as well as the ways in which people interact with products and machinery. An early project was an entry for the BraunPrize 2009 International design competition. This was a prototype for an intelligent “ecologically sensitive” kettle, which monitors the behaviour of its users and spots patterns in routine in order to try to encourage more economical use.
I also completed a year-long placement at Autonomous Systems Lab (ASL), which has recently moved from Middlesex to Southampton University. My most notable achievement from this placement would be my work on an autonomous bartender robot. This became a study, not only of the intelligence capabilities possible on a very limited budget, but also of public reaction to robotics and their expectations of machines.
The work for my degree culminated with ConstructAR, which is an on-site communication tool for the construction industry. This was an investigation into how machine intelligence such as self-localisation and orientation sensing can be used to provide a passive, instructional aid to the tasks carried out on-site, without endangering the current methods to which construction workers have become accustomed.
Outside of my studies, I have a great passion for classic Volkswagens. I am currently restoring and modifying a 1971 beetle with plans to install a megasquirt-based electronic fuel injection system to the classic air-cooled VW ‘flat four’ engine.