I'm working with Dr Vaccari and Prof Taylor on machine learning techniques in source detection for a PhD. My background is mathematics and mathematical statistics. I also work as a business intelligence consultant and developer for Slipstream Data.
I did my undergraduate at the North-West University, Bsc Chemistry-Physics(2013-2015). Then did my BSc Honours in Astrophysics and Space Science with the University of Cape Town and NASSP(2017). Currently registered for MSc at Universiversity of Western Cape, working on Machine Learning Techniques for Radio Continuum Survey Studies under the supervision of Prof Russ Taylor and Dr Mattia Vaccari.
Lauren uses simulations of the universe to trace light rays from far away objects to us in order to see how the magnetic fields along the way will change the polarisation of the light.
These simulations are massive and since she wants to look far back in space (and time), a large amount of computational resources are necessary for the project.
Sam is a PhD student at UCT, funded by the SKA SA project and under the supervision of Prof. Russ Taylor. His research seeks to explore large-scale magnetic fields in disk galaxies.
To this end he probes the properties of magnetic fields through wide-field radio polarimetry. This relies heavily on large data products of SKA precursors (early MeerKAT and KAT7) and complementary data from the Indian Giant Metrewave Radio Telescope.
He requires this type of datasets so to provide the coverage required to probe the polarization behavior across a wide frequency range. Similar studies in the past have had a narrow frequency coverage that limited application of the Fourier space transform (rotation measure synthesis) nature of the main tools used.
Laurisha is working on improving the usability of visualisation software for astronomy. She makes use of User Centred Design methods and visualisation principles to create recommendations for usable and effective visualisation software. She is interested in addressing the design challenges of visualising the integration of different, large, astronomical data sets which are representing the same objects.
Mustafa Ali is an M.Sc. student at UCT with Prof. Rob Simmonds. He completed his Honors’ degree in Computer Science and Statistics at the university of Khartoum in 2012.
He is working on using in-memory database technology for managing visual analytics of radio astronomy data. He is interested in databases and data analysis.
Oarabile Hope Moloko is an Honours (Astrophysics) student at the University of Cape Town. He completed his undergraduate degree in Physics, Mathematics and Electronics at the North-West University (2013-2015) and joined the NASSP programme for Astronomy in 2016. He's passionate about the big data science world and is working currently working with Dr. Bradley Frank and Prof. Russ Taylor on a project that involves exploiting the concurrency in radio interferometric processing for Large Bandwidth/Field-of-view Radio surveys.
Tumisang Tshikare is an Honours student (NASSP) at UCT studying under the supervision of Prof. Taylor and Dr. Frank. He completed his undergraduate degree at the North-West University Mafikeng Campus, majoring in Maths, Physics and Electronics. Throughout his undergraduate studies, he farmiliarised myself with the following programming languages, Assembly and C(for electronic microcontollers) and Gfortran.
His main interests are data science and data analysis. His current project is Source Finding and Characterisation of Radio Galaxies; the aim would be to evolve this into a machine learning algorythm to find and characterize radio sources
Lunga is working on classifying galaxies as well as estimating their redshifts. In order to do this, he evaluates large amounts of data from different multi-wavelength surveys in order to train algorithms which will be classifying unknown sources and estimating redshifts of hundreds of millions of radio sources.
This helps to paint a clearer picture regarding the history of our universe.