Dr Shenal Dedduwakumara
Lecturer
School of Public Health
Faculty of Health and Medical Sciences
Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.
I am a Lecturer in Bio-Statistics, focusing primarily on Robust Statistical Methodologies in Health sciences and Economics. Before becoming a part of the School of Public Health in 2024, I served as a Lecturer in Statistics at the School of Computer and Mathematical Sciences for more than three years following the completion of my PhD.
My research developments aim to contribute to the existing body of knowledge in the area of quantile-based methods in modeling and estimation. These new contributions include simulation studies, the construction of new measures, interactive web applications and computational packages with real data applications in this area of research. These measures and their estimates have applications in economics and the health sciences and address significant issues related to the broader scientific research community.
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Education
Date Institution name Country Title 2016 - 2020 Latrobe University Australia PhD 2010 - 2015 University of Colombo Sri Lanka Bachelors of Science (BSc) in Statistics and Mathematics (Honours) -
Research Interests
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Journals
Year Citation 2021 Dedduwakumara, D. S., Prendergast, L. A., & Staudte, R. G. (2021). An efficient estimator of the parameters of the generalized lambda distribution. JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 91(1), 197-215.
Scopus5 WoS32021 Dedduwakumara, D. S., Prendergast, L. A., & Staudte, R. G. (2021). Some confidence intervals and insights for the proportion below the relative poverty line. SN Business & Economics, 1(10), 22 pages.
2020 Dedduwakumara, D. (2020). Contributions to Estimation and Modeling Using Quantiles. Bulletin of the Australian Mathematical Society, 103(3), 523-524.
2019 Dedduwakumara, D. S., Prendergast, L. A., & Staudte, R. G. (2019). Insights and inference for the proportion below the relative poverty
line.2019 Dedduwakumara, D. S., Prendergast, L. A., & Robert, G. S. (2019). A simple and efficient method for finding the closest generalized lambda distribution to a specific model. Cogent Mathematics & Statistics, 6(1), 1-11.
WoS42018 Dedduwakumara, D. S., & Prendergast, L. A. (2018). Confidence intervals for quantiles from histograms and other grouped data. Communications in Statistics: Simulation and Computation, 49(6), 1546-1559.
Scopus3 WoS1 -
Conference Papers
Year Citation 2019 Dedduwakumara, D. S., & Prendergast, L. A. (2019). Interval Estimators for Inequality Measures Using Grouped Data. In Communications in Computer and Information Science Vol. 1150 CCIS (pp. 238-252). Singapore: Springer.
DOI Scopus1 WoS1
- Lecturer and Course Coordinator, ‘Data Management and Statistical Computing’, Master of Biostatistics, School of Public Health, The University of Adelaide, 2024.
- Lecturer and Course Coordinator, ‘Probability and Statistics’, Bachelor of Mathematical Sciences, School of Computer and Mathematical Sciences, Joint Education Initiative between Ocean University of China and the University of Adelaide, 2023.
- Lecturer and Co-Course Coordinator, ‘Projects in Mathematics’, Bachelor of Mathematical Sciences, School of Computer and Mathematical Sciences, Joint Education Initiative between Ocean University of China and the University of Adelaide, 2023.
- Lecturer and Course Coordinator, ‘Data Science’, Bachelor of Mathematical Sciences, School of Computer and Mathematical Sciences, Joint Education Initiative between Ocean University of China and the University of Adelaide, 2023.
- Lecturer and Course Coordinator, ‘Probability and Statistics’, Master of Data Science, School of Computer and Mathematical Sciences, The University of Adelaide, 2022.
- Lecturer and Course Coordinator, ‘Decision Science’, Master of Data Science, School of Computer and Mathematical Sciences, The University of Adelaide, 2022.
- Lecturer and Course Coordinator, ‘Data Taming’, Master of Data Science, School of Computer and Mathematical Sciences, The University of Adelaide, 2022.
- Lecturer and Course Coordinator, ‘Data Literacy’, Master of Data Science, School of Computer and Mathematical Sciences, The University of Adelaide, 2022.
- Lecturer and Course Coordinator, ‘Statistics and Numerical Methods, Bachelor of Mathematical Sciences, School of Computer and Mathematical Sciences, The University of Adelaide, 2021.
- Lecturer and Co-Course Coordinator, ‘Advanced Mathematical Perspectives II', Bachelor of Mathematical Sciences, School of Computer and Mathematical Sciences, The University of Adelaide, 2021.
- Lecturer and Course Coordinator, ‘Statistical Practice I', Bachelor of Mathematical Sciences, School of Computer and Mathematical Sciences, The University of Adelaide, 2021.
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Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2023 Co-Supervisor Using statistical natural language processing to analyse digitised historical sources Master of Philosophy Master Full Time Mr William Pincombe
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Committee Memberships
Date Role Committee Institution Country 2021 - ongoing Member Outreach Committee School of Mathematical Sciences Australia
Connect With Me
External Profiles