Rashmi Siddalingappa
Rashmi Siddalingappa is currently involved in three exciting research projects, each
focusing on different aspects of space and atmospheric phenomena:
NSF ANSWERS Project - Ion-Neutral Coupling Model: In this project, the main goal
is to develop a novel model for ion-neutral coupling in the ionosphere-thermosphere
system. This is essential for accurate space weather modeling and prediction. To
achieve this, we are conducting first-of-its-kind multi-species, multi-fluid laboratory
experiments. We use Design of Experiments (DoE) to identify driving conditions
and simulate the Geospace environment.
ARMAS Dataset Analysis - Radiation Dose Rate Prediction: This research involves
analyzing the ARMAS dataset to predict radiation dose rates at aviation altitudes.
Extreme Space Weather Study - Solar Wind Predictive Models: In this project, the
aim is to develop predictive models for extreme solar wind parameters and investigate
the behavior of the solar wind-magnetosphere-ionosphere system under extreme conditions.
We employ machine learning regression models and superposed epoch analysis using
the SEA dataset comprising solar wind and interplanetary magnetic field measurements.