Field of Study: Applied Mathematics/Physical Oceanography
Research Topic: Sensitivity of the Empirical Mode Decomposition and its Application to Environmental Data
About the Research topic:
Empirical Mode Decomposition/Hilbert Huang Transform is a newly developed method to deal with non-linear and non-stationary data. In my PhD project, I look at the sensitivity of Empirical Mode Decomposition to Environmental data. To evaluate the study, I use sea level, surface temperature and fire forest danger data.
I am working on the methodologies of time series analysis. I have been specifically focused on the Empirical Mode Decomposition applied to large non-linear and non-stationary environmental data sets, such as sea level, air surface temperature and bushfire data ..
I do also have extensive experience in public policy. My teaching background has made me interested in gaining a deeper knowledge of social science, public policy and educational methods. To improve the efficiency of the teaching/learning experience, I have investigated the quality of teaching and learning across educational contexts using large set of data.
I would love to extend my research experience within the major project themes of empirical testing and statistical analysis.
Current - PhD in Applied Mathematics/Physical Oceanography, University of New South Wales in Canberra
Thesis title: "Sensitivity of the Empirical Mode Decomposition and its Application to Environmental Data"
2012 - Internship, PIK (Potsdam Institute for Climate Impact), Germany, Working on: Sea-Level-Rise and extreme heat project
2011- Internship, Ifa (Institut für Auslandsbeziehungen), Kiel, Working on: Sea-Level-Rise project
2009 - MSc in Physical Oceanography, Islamic Azad University
Thesis title: "modeling the tidal currents in long estuaries"
2001- BSc in Physics-teaching in high school, Razi University
Australia and New Zealand Industrial and Applied Mathematics (ANZIAM)
Australian and New Zealand Association of Mathematical Physics (ANZAMP)
Past Earth Network (PEN)
Australian Meteorological and Oceanographic Society (AMOS)
Young Earth System Scientists community(YESS)