MB
Member Since 2020
Matthew Blandin
Post-Doctoral Researcher, University of Iowa
AGU Research
Search
Filters
Clear All
THEMIS All-Sky Image Classification via Self-Supervised Semi-Supervised Learning
ONLINE POSTER SESSION FOR NONLINEAR GEOPHYSICS
nonlinear geophysics | 24 january 2024
Jeremiah W. Johnson, Dogacan S. Ozturk, Hyunju K. ...
Dynamic interactions between the solar wind and the magnetosphere give rise to dramatic auroral forms that have been instrumental in the ground-based ...
View Abstract
Gridded Matrix Solution of Solar Wind Driven and Magnetic Local Time Dependent Machine Learned Neural Networks for Global Geomagnetic Field Predictions
UNDERSTANDING GEOMAGNETICALLY INDUCED CURRENTS AND THEIR IMPACT ON TECHNOLOGY II ORAL
spa-magnetospheric physics | 14 december 2023
Matthew Blandin, Hyunju K. Connor, Sai Gowtam Vall...
Geomagnetically induced currents triggered by geomagnetic field disturbance are a global threat with increasing interest within the scientific communi...
View Abstract
Constructing a Machine Learned Global Geomagnetic Field Prediction Model from Magnetic Local Time Dependent Multi-Layer Perceptron Neural Networks
DATA-DRIVEN MODELING AND NEW MEASUREMENTS OF THE MAGNETOSPHERE-IONOSPHERE-THERMOSPHERE (MIT) SYSTEM II POSTER
spa-aeronomy | 15 december 2022
Matthew Blandin, Hyunju K. Connor, Sai Gowtam Vall...
Geomagnetically Induced Currents (GICs) are a topic of increasing interest within the science community due to their impact on our technology dependen...
View Abstract
A Self-Supervised Semi-Supervised Approach to Automatic Classification of THEMIS All-Sky Images
MACHINE LEARNING IN SPACE WEATHER III ORAL
nonlinear geophysics | 15 december 2022
Dogacan S. Ozturk, Hyunju K. Connor, Donald L. Ham...
Dynamic interactions between the solar wind and the magnetosphere give rise to dramatic auroral forms that have been instrumental in the ground-based ...
View Abstract
Implementing an Ensemble Model Approach for Geomagnetic Field Disturbance Predictions in Alaska utilizing Multivariate LSTM Neural Networks
CAUSES AND IMPACTS OF GEOMAGNETICALLY INDUCED CURRENTS III POSTER
spa-magnetospheric physics | 15 december 2021
Matthew Blandin, Hyunju K. Connor, Dogacan S. Oztu...
Geomagnetically induced currents (GICs) are a topic of increasing interest within the science community due to their impact on our technology dependen...
View Abstract
UAF Space Weather UnderGround Program: A Student-Built Magnetometer Array in Alaska for Space Science Research
AMAZING TECHNOLOGIES AND CAPABILITIES THAT CONTRIBUTE TO STEAM III POSTER
education | 13 december 2021
Austin Cohen, Hyunju K. Connor, Donald L. Hampton,...
Dynamic interactions between the solar wind and the Earths magnetosphere can create strong geomagnetic field disturbances and trigger Geomagnetically ...
View Abstract
Prediction of Geomagnetic Field Disturbance across Alaska using Long Short-Term Memory Neural Networks trained from OMNI and superMAG 2000-2015 datasets
ADVANCES IN SPACE WEATHER RESEARCH I
spa-magnetospheric physics | 11 december 2020
Matthew Blandin, Hyunju K. Connor, Amy M. Keesee, ...
The dynamic solar wind interaction with the Earth’s magnetosphere creates a disturbed time varying magnetic field that can cause Geomagnetically Induc...
View Abstract
KiNET-X: Kinetic-scale energy and momentum transport experiment
NEW TECHNIQUES FOR ACTIVE EXPERIMENTS II POSTERS
spa-aeronomy | 11 december 2019
Donald L. Hampton, Peter A. Delamere, Nathan P. Ba...
A key aspect of heliophysics is the energy and momentum coupling between spatially separate but magnetically linked plasma regimes. KiNET-X is a rocke...
View Abstract