My research interests include Bayesian data analysis and signal processing with applications in Earth and space sciences, statistical signal processing, information theory, source separation, astrophysics, astrobiology, spectral analysis, alpha stable distributions and chaos theory.
I am currently working on the assessment of climate feedback processes. Climate feedback processes play a very important role in general atmospheric dynamics. In order to better understand how Earth’s atmosphere behaves, we work on understanding climate feedback processes, mostly focusing on cloud feedbacks. As the physical mechanisms involved in these processes are highly nonlinear and/or non-Gaussian, we utilize advanced information-theoretic statistical approaches that could handle such problems. These efforts mostly involve developing new Bayesian methodologies which can help us model these physical processes by providing their uncertainties. Our current research is mostly focused on understanding which climate variables are related to particular tropical disturbances, such as the Madden-Julian oscillation (MJO). Here, we try to understand the possible relationships using large data sets obtained from more than a dozen satellite data product. Later approaches include the generalization of results obtained from these cases to learn more on the general atmospheric dynamics.
I have worked on the following projects:
1.Research Associate in “The assessment of climate feedback processes” funded by NASA, (PI William B. Rossow)
2.Senior Research Support Specialist in “Identifying relationships among Earth climate data” funded by two NASA grants, (PI William B. Rossow, and PI Kevin H. Knuth) (2007-2009)
3.Senior Research Support Specialist in “Bayesian Source Separation for Astrophysical Spectra: Application to PAHs” funded by NASA AISRP (PI: Kevin Knuth) (2007-2009)
4.Research assistant in “Applications of Independent Component Analysis in Communications, Image Processing and Geophysics” funded by TUBITAK-CNR between 2002-2004 and 2006-2007(edit description)
Last Added Resources
A Publication, Deniz Gencaga's Collection - 3 years, 11 months ago
We present a novel and general methodology for modeling time-varying vector autoregressive processes which are widely used in many areas such as modeling of chemical ...