Dr Vohl’s thesis addressed fundamental problems facing Astronomy in the “Big Data” era relating to processing, visualisation, analysis, storage, and transfer of data. Many planned or ongoing projects aim at increasing the number of objects studied by several orders of magnitude. As both the volume and velocity at which data is generated increase, novel methods and analytical tools are required to help understand information hidden within data. Dr Vohl’s research investigated and introduced novel visualisation methods for real-time collaborative visual analytics in immersive environments; and explored data compression to accelerate data transfer within geographically dispersed, time-critical observing programs.
History
Thesis type
Thesis (PhD)
Thesis note
Presented in fulllment of the requirements of the degree of Doctor of Philosophy, Faculty of Science, Engineering and Technology, Swinburne University of Technology, 2018.