Dr Aswi

AswiQualifications:

  • Master of Science in Statistics, Sepuluh November Institute of Technology, Indonesia. (Thesis: Diagnostics Check of Residuals in Nonparametric Regression)
  • Honours Bachelor of Education in Mathematics Education, State University of Makassar, Indonesia. (Final Project: The effect of Attitude towards Test Type against Mathematics Mastering for Students of SMA Negeri 3 Makassar)

Research Interests:

  • Bayesian
  • Spatial and Spatio-temporal
  • Survival Analysis
  • Time Series Analysis

Project:

Title: Bayesian Spatio-temporal modeling of small areas: Dengue fever in Makassar Indonesia

The overall aim of my research is to develop Bayesian models that reveal spatial and spatio-temporal trends in disease for regions with a small number of areas, with a focus on understanding dengue fever in Makassar Indonesia.

About me:

I am a full time PhD student enrolled in Statistical Science, School of Mathematical Sciences, Science and Engineering Faculty, QUT in 25 July 2016 supported by QUT Postgraduate Research Award (QUTPRA) for international students. I am currently a permanent lecturer at the Department of Mathematics and Statistics, State University of Makassar, Indonesia (2003-date); secretary at Data Analysis Unit of Mathematics Department State University of Makassar (2011-2013), consultant at data analysis unit of Mathematics Department State University of Makassar (2009-2013). I achieved recognition as a professional lecture in August 2011 in Indonesia and as an Associate Fellow of The Higher Education Academy (AFHEA), UK in August 2019. During this time, I have published 6  Statistics text books (Indonesian version).

Publications:

PhD Thesis:

Aswi. 2020. Bayesian spatio-temporal modelling of small areas: Dengue fever in Makassar Indonesia. PhD by Publication, Queensland University of Technology. URL: https://eprints.qut.edu.au/200547/

Published:

1. Aswi, A; Cramb, S; Moraga, P and Mengersen, K. Bayesian spatial and  spatio-temporal approaches to modelling dengue fever: a systematic review.  Epidemiology and Infection, 2019, Vol. 147.

2. Aswi, A;  Cramb, S; Hu, W; White, G; Mengersen, K. Temporal modeling of  dengue fever: A comprehensive literature review. Materials Science Forum, Vol. 967, pp. 15-21, 2019. URL https://www.scientific.net/MSF.967.15

3. Aswi, A; Cramb, S; Duncan, E; Hu, W; White, G; Mengersen, K. Climate variability and dengue fever in Makassar, Indonesia: Bayesian spatio-temporal modelling. Published to Spatial and Spatio-temporal Epidemiology,  2020, Volume 33, 100335. https://www.sciencedirect.com/science/article/abs/pii/S1877584520300137

4. Aswi, A; Cramb, S; Duncan, E; Hu, W; White, G; Mengersen, K. Bayesian spatial survival models for hospitalisation on dengue: A case study of Wahidin hospital in Makassar, Indonesia. Published to International journal of Environmental Research and Public Health, 2020, 17(3), 878.  https://www.mdpi.com/1660-4601/17/3/878.

5. Aswi, A; Cramb, S; Hu, W; White, G; Mengersen, K. 2020. ” Spatio-temporal analysis of dengue fever in Makassar Indonesia: A comparison of models based on CARBayes. “In Case Studies in Applied Bayesian Data Science, Volume 2259 of the Lecture Notes in Mathematics series, edited by K. L. Mengersen, P. Pudlo, and C. P. Robert, pp. 229-244. https://doi.org/10.1007/978-3-030-42553-1_9

6. Aswi, A; Cramb, S; Duncan, E; Mengersen, K. Evaluating the impact of a small number of areas on spatial estimation. International Journal of Health Geographics 19 (39).  DOI: 10.1186/s12942-020-00233-1.

Conferences:

  • A.Aswi, Mengersen Kl, Cramb SM, Moraga P.  Spatio-temporal modelling of dengue fever in Makassar using Bayesian methods. ACEMS Retreat 2016. 2-4 November 2016, University of Technology Sydney, SW. (Oral presentation: Three Minutes talk). URL https://www.youtube.com/watch?v=Etk_D41T–o.
  • Aswi, A; Cramb, S; Duncan, E; Mengersen, K. Evaluating the impact of small number of areas on spatial estimation. The Young Statistician Conference (YSC). 26 September 2017 – 27 September 2017. Twin Towns, Coolangatta, Queensland, Australia. (Oral presentation). URL http://ysc2017.com.au/program.html#wednesday
  • Aswi, A; Cramb, S;  Mengersen, K. Bayesian spatio-temporal estimation of dengue fever: when areas are few. Bayes on the Beach 2017”. 13th– 15th November 2017. Mantra Legends Hotel, Surfers Paradise, Gold Coast, Queensland, Australia (poster presentation). poster for BOB_2017.
  • ACEMS Retreat 2017. 30 October 2017 – 3 November 2017. Mantra Legends Hotel, Surfers Paradise, Gold Coast, Queensland, Australia (participant).
  • Aswi, A; Cramb, S; Duncan, E; Mengersen, K. Bayesian spatial estimation when areas are few. The international Biometric Society Australasian Region conference, 26-30th November 2017. Mantra on Salt Beach, Kingscliff, New South Wales, Australia. (Oral presentation). Biometrics-By-The-Border-International-Biometrics-Society-Australas
  • Aswi, A; Mengersen, K; Cramb, S; Hu, W; White, G. Comparison of different Bayesian spatio-temporal models using R packages. UseR! Conference. 10-13 July 2018.  Brisbane, Australia. (Lightening poster presentation). poster for useR_ASWI.
  • Aswi, A; Mengersen, K; Cramb, S; Hu, W; White, G. Comparing spatio-temporal models using CARBayes: An Application to dengue fever in Makassar, Indonesia. The joint international society for clinical Biostatistics and Australian Statistical Conference 2018. 26-30 August 2018. Melbourne, Australia. (oral presentation). ISCB_Presentation Certificate
  • Aswi, A; Mengersen, K; Cramb, S; Hu, W; White, G. Temporal modelling of dengue fever: A comprehensive literature review. 3rd International Conference on Mathematics, Sciences, Technology, Education and their application (ICSMTEA) in Conjunction with 1st International Symposium on Green Materials & Technology (ISGMT). Universitas Negeri Makassar (UNM). 29-30 September 2018. Makassar, Indonesia. (Oral presentation). ICMSTEA_presentation certificate .
  • Aswi, A; Mengersen, K; Cramb, S; Hu, W; White, G. Bayesian spatio-temporal models using R-INLA. “VARIANSI” conference 2018. Statistics Study Program. Universitas Negeri Makassar (UNM). 10 October 2018. Makassar, Indonesia. (Oral presentation).Abstract_ASWI
  • Aswi, A; Mengersen, K; Cramb, S; Hu, W; White, G. Bayesian spatio-temporal models using R-INLA. ACEMS Retreat 2018. 28 October 2018-2 November 2018, Torquay, Melbourne, Victoria (Oral presentation). URL https://acems.org.au/events/acems-2018-retreat
  • Aswi, A; Mengersen, K; Cramb, S; Hu, W; White, G. The impact of covariates on the grouping structure of a Bayesian spatio-temporal localised model. Australasian Applied Statistics Conference 2018. 3-7 December 2018, New Zealand. (oral presentation). AASC_Presentation Certificate
  • Student Leadership Conference: Momentum. 30 March 2019. QUT Gardens Point Campus. Brisbane, Australia. (Participant).
  • Aswi, A;  Cramb, S; Hu, W; White, G; Mengersen, K. Evaluating the interplay between clusters, climatic covariates and spatial priors in spatio-temporal modelling of dengue in Makassar. Ecosystem Change and Population Health (ECAPH) symposium. 3-4 June 2019, Brisbane, Australia. (poster presentation).
  • Aswi, A;  Cramb, S; Hu, W; White, G; Mengersen, K. Bayesian spatio-temporal Conditional Autoregressive Localised model. ACEMS Retreat 2019. 28 October 2019 -1 November 2019, Stamford Grand Adelaide,  Glenelg, South Australia (Oral presentation).
  • Aswi, A;  Cramb, S; Hu, W; White, G; Mengersen, K. Evaluating the interplay between clusters, climatic covariates and spatial priors in spatio-temporal modelling of dengue in Makassar. Bayes on the Beach 2019”. 25th– 27th November 2019. Mantra Legends Hotel, Surfers Paradise, Gold Coast, Queensland, Australia (poster presentation).ASWI_ poster_BOB2019.
  • Data Science and Social Good Symposium. 29 November 2019. QUT Gardens Point Campus. Brisbane, Australia. (Participant).

BRAG Presentations:

EHID (Environmental Health under Infectious Disease ) presentations:

  • 24 July 2017: Bayesian Spatio-Temporal Modelling of Small Areas: Dengue Fever in Makassar Indonesia.
  • 5 March 2018: Comparing Spatio-temporal models using CARBayes: An application to dengue fever in Makassar, Indonesia.
  • 11 March 2019: The impact of covariates on the grouping structure of a Bayesian spatio-temporal localised model.
  • 10 June 2019: Forecasting Dengue Fever cases in Makassar, Indonesia using a SARIMA model.
  • 3 February 2020: Bayesian Cox Semiparametric Spatial Survival for Hospitalisation of Dengue.

Prizes

  • Winner of one of four student places at UseR2018! competition, SSA(Statistical Society of Australia) Qld branch for the essay, “Why I would like to represent the Society at the conference”.
  • Winner of the SSA-QLD student travel funding to present at the International Society for Clinical Biostatistics and Australian Statistical Conference. 2018.https://statsoc.org.au/page-1075319

Awards and achievements

  •  Award as the best student presentation at Australasian Applied Statistics Conference (AASC). 3-7 December 2018, Rotorua, New Zealand. an award_AASC_NZ

Recognition

 Attendance of Workshops, Seminars and Public Lectures

Professional Membership

  • Statistical Society of Australia (SSA)
  • International Society for Clinical Biostatistics (ISCB)
  • The International Statistical Institute (ISI)

Contact Details:

  • aswi@hdr.qut.edu.au
  • aswikarne@yahoo.com
  • aswi@unm.ac.id

Links:

2 thoughts on “Dr Aswi

  1. Pingback: PhD Final Seminar – Aswi | Bayesian Research & Applications Group

  2. Pingback: PhD Final Seminar – Aswi | Bayesian Research & Applications Group

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