Dr Rune Rasmussen
Academic Division,
Research Portfolio,
Research Engineering Facility (REF)
Biography
Dr Rune Rasmussen joined QUT in 2017 as Senior Software Engineer for the Research Engineering Facility. Rune's interests are in solving and finding high-performing software solutions to problems in complex systems, which, in his current role, concerns solving software problems in robotics and autonomous systems. Rune has programming skills applicable in small embedded systems, through to distributed network systems, over all major operating systems, with program language skills in Assembly language, C/C++, C#, Java, Javascript, PHP, HTML, SQL, R, Matlab. Rune's current role allows him to specialise in systems involving the Robotic Operating System (ROS).Prior to his current role, Rune worked on solving and creating artificial players of board games, creating 3D virtual environments for interactive nurse training, research and development of Monte Carlo statistical methods for solving the expansion parameters of invasive species, for solving optimal eradication programs, and for solving problems in software variant analysis and service refactoring. Rune worked as a lecturer for 7 years, where he developed, coordinated and taught the unit INB383, AI for Games.
Personal details
Positions
- Senior Software Engineer
Academic Division,
Research Portfolio,
Research Engineering Facility (REF)
Research field
Artificial Intelligence and Image Processing, Information Systems
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008
Qualifications
- Doctor of Philosophy (Queensland University of Technology)
Publications
- Rasmussen, R. & Hamilton, G. (2012). An approximate Bayesian computation approach for estimating parameters of complex environmental processes in a cellular automata. Environmental Modelling and Software, 29(1), 1–10. https://eprints.qut.edu.au/47105
QUT ePrints
For more publications by Rune, explore their research in QUT ePrints (our digital repository).