Successful PhD Defense of Vadim Rezvov
Congratulations to Vadim Rezvov with his successful PhD defense!
On September 16, 2025, Vadim Rezvov successfully defended his PhD thesis for the degree of Candidate of Physical and Mathematical Sciences in Oceanology.
The thesis focused on applying deep neural networks for spatial downscaling of surface wind fields over the Barents and Kara Seas. The developed approach achieves more than a 50-fold speed-up compared to traditional modeling methods, while reproducing mesoscale atmospheric phenomena.
We congratulate Vadim on his successful defense and wish him new scientific achievements ahead!
Mikhail Krinitskiy
Head of lab
Current research interests are machine learning and deep learning of various flavours applied in Earth Sciences started with observational applications, now shifted to generic data mining and natural processes modeling. The main applications are in Atmospheric sciences, including remote sensing, and also in Ocean sciences. There are also some applications in geochemistry and paleoreconstruction applications. Lecturing masters courses “Machine learning for Earth Sciences” and “Deep learning for Earth Sciences,” a.k.a. ML4ES and DL4ES (Rus.) in Moscow Institute of Physics and Technology and in Lomonosov Moscow State University.