Congratulations Mostafa!

On the 19th of September, Mostafa Kiani Shahvandi successfully defended his Ph.D. thesis entitled "Geodetic time series analysis and prediction using machine learning".

Mostafa is one of the first doctoral students from the Space Geodesy group. He joined the group in September 2020, working on the application of machine learning in geodesy. Specifically, he focused on the analysis and prediction of Earth orientation parameters and station position variations measured by global navigation satellite systems. He mainly designed new algorithms for each specific task that he focused on. Some of his prominent contributions include the explanation of long-period variations in motion of the Earth's rotational pole, as well as variations in length of day and their connection to climate change. Mostafa collaborated with many researchers both at ETH (including his second supervisor Siddhartha Mishra at Department of Mathematics) and from other universities. These collaborations were fruitful and resulted in several papers published in high impact journals. Also, he visited the Department of Earth Sciences at the University of Cambridge and studied there for six months, increasing his network and collaborating with people there. Since then, he has cultivated an interest in climate science, for which he has been awarded a Swiss National Science Foundation postdoc mobility fellowship. Following his short postdoc at ETH Zurich, in his new postdoc he will use this opportunity to work on the global climate and bring his background in machine learning and time series analysis to the analysis of climate problems.  

After the Ph.D. defense, there was a nice apéro with the examination committee and colleagues to celebrate Mostafa's achievement.

Thesis

Kiani Shahvandi, M. (2024). Geodetic time series analysis and prediction using machine learning, PhD Thesis ETH Zurich, external page https://doi.org/10.3929/ethz-b-000700534  

JavaScript has been disabled in your browser