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Institutional Information: Faculty Of Civil Engineering, Geomatic Engineering, Geodesy




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He graduated from Yıldız Technical University (YTU) Geodesy and Photogrammetry Engineering Department in 1998. In 2001, he completed his master's degree in YTU Institute of Science, Geodesy and Photogrammetry Engineering. In 2004, he worked as a visiting scholar at Darmstadt University of Technology Physical Geodesy Institute with TÜBİTAK-NATO scholarship and completed his Ph.D. thesis on microgravity and its stochastic processes at YTU Institute of Science in 2007. He became Assistant Professor in 2009, Associate Professor in April 2012 and Professor in September 2018. He is still working as a Professor Doctor in YTU Civil Engineering Faculty Department of Geomatic Engineering.

Undergraduate courses given by him are  "Error Theory and Parameter Estimation", "Adjustment Computations", "Physical Geodesy" and "Computer programming in Geodesy", postgraduate courses are "Statistical Analysis in Geodesy" and "Analysis of Deformation Measurements". His study area is mainly on geodetic statistical analysis. In addition, he works on modeling of the static and dynamic gravity field of the Earth, hydrological and glacial mass changes from these models on global and regional scales. He worked in a TÜBİTAK project for global gravity field modeling of the Earth from GRACE and GOCE measurements. The produced models are ITU_GRACE and ITU_GGC16, see also [ICGEM_static model web page, Model Number 156, and here to visualize it]. Mainly, he worked on the global tests of these models (the GGC16 model has 39 cm global geoid accuracy. The main improvement of this model with 280 degrees is seen in polar regions. This is because of the advantage of GRACE satellites over polar regions and some special estimation approaches used in producing of the model).

Recently, he is working on total least squares, symmetric coordinate transformations, (co)variance components estimation, combining different estimation results, relativity in deformation analysis, geodetic time-series analysis.


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