Muhammad Maimaiti Successfully defends his doctoral dissertation

By: miker on: Fri., Nov. 22, 2019 10:25 AM EST (4312 Reads)

VT SuperDARN student Muhammad Maimaiti defended his doctoral disseration on Thursday, November 21 to an examining committee of six professors. Muhammad is advised by Drs. Jo Baker and Mike Ruohoniemi. He has published in leading journals on topics as varied as reconnection dynamics, subauroral electric fields, and the prediction of auroral substorm onset using machine learning techniques. The title of his dissertation is 'Driving Influences of Ionospheric Electrodynamics at Mid- and High-Latitudes'. While working towards his doctoral degree Muhammad also earned a dual M.A. in Data Analysis & Applied Statistcs from the Department of Statistics.

Congratulations, Muhammad!

At the 2019 NSF CEDAR Workshop Muhammad won a poster prize in the MLT category (pictured).

A partial listing of Muhammad's publications follows:

Maimaiti, M., Kunduri, B., Ruohoniemi, J. M., Baker, J. B. H., and House, L. L. (2019), A deep learning based approach to forecast the onset of magnetic substorms. Space Weather, 17. https://doi.org/10.1029/2019SW002251

Maimaiti, M., Baker, J. B. H.,Ruohoniemi, J. M., & Kunduri, B. S. R. (2019). Morphology of nightside subauroral ionospheric convection: Monthly, seasonal, Kp, and IMF dependencies. Journal of Geophysical Research: Space Physics, 124, 4608–4626. https://doi.org/10.1029/2018JA026268

Maimaiti, M., Ruohoniemi, J. M.,Baker, J. B. H., & Ribeiro, A. J. (2018). Statistical study of nightside quiet time midlatitude ionospheric convection. Journal of Geophysical Research: Space Physics, 123, 2228–2240. https://doi.org/10.1002/2017JA024903

Maimaiti, M., J.M. Ruohoniemi, J.B.H. Baker, C.R. Clauer, M.J. Nicolls, and M.R. Hairston (2017), RISR-N observations of the IMF By influence on Reverse Convection During Extreme Northward IMF, J. Geophys. Res. Space Physics, 122, doi:10.1002/2016JA023612.

Muhammad Maimaiti Successfully defends his doctoral dissertation

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