My academic background and experience are a mix of Data Science Machine learning and telecommunication. I completed a BSc degree in Statistics (Major) and Economics (Minor). A graduate certificate in Mathematics and statistics from the University of New South Wales (UNSW) and a Master of Philosophy in Visual Analytics (Data science and machine Learning) in November 2023 from Western Sydney University.
Published Papers
1. Tegegne, Y., Z. Qu, Y. Qian, and Q.V. Nguyen, Parallel Nonlinear Dimensionality Reduction Using GPU Acceleration, in Australasian Conference on Data Mining. 2021, Springer: Brisbane, Australia. p. 3-15. https://doi.org/10.1007/978-981-16-8531-6_1
2. Qu, Z., Y. Tegegne, S.J. Simoff, P.J. Kennedy, D.R. Catchpoole, and Q.V. Nguyen. Enhancing Understandability of Omics Data with SHAP, Embedding Projections and Interactive Visualisations. 2022. Sydney, Australia: Springer Nature Singapore. https://doi.org/10.1007/978-981-19-8746-5_5
3. Nguyen, Q.V., Z. Qu, C.W. Lau, Y. Tegegne, J. Tran, G.R. Karetla, P.J. Kennedy, S. Simoff, and D. Catchpoole, Biomedical Data Analytics and Visualization – A Methodological Framework, in Data Driven Science for Clinically Actionable Knowledge in Diseases, D.R. Catchpoole, et al., Editors. 2023, CRC Press: Boca Raton. p. 174-196. DOI: 10.1201/9781003292357-8
Volunteer at the Ankali Project - Ankali Project (Surry Hills, Sydney) Volunteer service at the 20th international AIDs conference held in Melbourne, Australia 20-25 July 2014 ICT30415 Certificate III in Telecommunications Network Build and Operate
References Up on Request