Dr Farzana Jahan
PhD Student
Queensland University of Technology
Passionate about Statistics research and teaching. I have developed noble insights into Bayesian statistical models for analysing spatial data in my PhD. I am a very early career researchers, just completed my PhD in August, 2021 in Statistics from QUT. Currently I am working as a postdoctoral Research fellow at QUT Centre for Data Sciecne and also have got 50% teaching responsibility for the school of Matehmatical Sceicnes. I got recognised as an Associate Fellow at Higher Education Academy, UK in 2019. I also have a teaching experience of 3.5 years in a University of Bangladesh before I started PhD here at QUT and ACEMS. I would like to continue my research works and would also try to contribute to Statistics teaching and learning.
Research Interests:
Bayesian hierarchical models
Bayesian methodolgy
Meta-Analysis
Spatial Data Analysis
Spatial models
Qualifications:
MS by Research in Statistics, Biostatistics & Informatics from University of Dhaka(2013)
Bachelor of Science (Honours) in Statistics, Biostatistics & Informatics from University of Dhaka(2011)
worked as a Senior Lecturer in the Department of Applied Statistics, East West University, Dhaka, Bangladesh (September 2016 to August 2017)
worked as a Lecturer in the Department of Applied Statistics, East West University, Dhaka, Bangladesh (September 2013 to August 2016)
worked as Deputy Sub-Project Manager of sub-project titled, "Covariate Dependent Models for Correlated Outcomes in Longitudinal Data Analysis" funded by World bank and implemented by UGC, Bangladesh (July 2014 to July, 2017)
PhD in Statistics from School of Mathematical Sciences, Faculty of Science, QUT
Projects
Publications
Invited talks, refereed proceedings and other conference outputs
Jahan, F., Duncan E., Cramb S., Mengersen KL., & Baade P.
(2019). Augmeting Disease Maps: a Bayesian meta-analysis approach.
Young Statisticians Conference 2019.
Jahan, F., & Mengersen KL.
(2019). Bayesian Empirical Likelihood Spatial Model applying Leroux Structure.
Young Statisticians Conference 2019.
Jahan, F., & Mengersen KL.
(2019). Bayesian Empirical Likelihood Spatial Model applying Leroux Structure.
Bayes on the Beach 2019.
Jahan, F., Duncan E., Cramb S., Baade P., & Mengersen KL.
(2019). Multivariate Bayesian meta-analysis model to analyse estimated cancer incidence.
ACEMS Students and ECR Retreat.
Jahan, F., & Mengersen KL.
(2018). Bayesian Empirical Likelihood Spatial Model applying Leroux structure.
International Conference on Bayesian Statistics in the Big Data Era Bayesian statistics in the era of Big Data .
Jahan, F., Duncan E., Cramb S., Baade P. D., & Mengersen KL.
(2018). Making More of Spatial Maps: A Bayesian Meta-analysis approach.
ACEMS Students Retreat.
Jahan, F., Duncan EW., Cramb S., Baade P. D., & Mengersen KL.
(2018). Making More of Spatial Maps: A Bayesian meta-analysis approach.
Workshop on Young Bayesians and Big Data for Social Good.
Journal Articles
Jahan, F., Sinha N. Chandra, Rahman M.. Mahfuzur, Rahman M.. Morshadur, Mondal M.. Sanaul Haq, & M. Islam A.
(2018). Comparison of missing value estimation techniques in rainfall data of Bangladesh.
Theoretical and Applied Climatology. 1-17. doi: 10.1007/s00704-018-2537-y
Jahan, F., Siddika B., Chowdhury R. I., & M Islam A.
(2017). A Poisson-Poisson Model to analyze congestion data.
Advances and Applications in Statistics. doi: 10.17654/AS052010055
