Liang Zhao

7348831835

Applications:
Computer Science, Earth Science and Ecology, Engineering
Methodologies:
Artificial Intelligence, Bayesian Methods, Data Visualization, Machine Learning, Statistics

Liang Zhao

Associate research scientist

Clasp, School of Engineering

Assistant Research Scientist, Climate and Space Sciences and Engineering and Lecturer I in Climate and Space Sciences and Engineering, College of Engineering

I am working on analyzing the solar wind plasma measurements obtained by multiple space missions. Especially, I am interested in the solar wind heavy ion elemental abundance and charge states measured by SWICS on Ulysses and ACE and HIS onboard Solar Orbiter mission. Applications of machine learning and artificial intelligence algorithms on solar wind plasma classification and heliophysics parameter prediction are a brand new research area that we have been working on.


Accomplishments and Awards