Revolutionizing Neutron Star Parameter Inference through Machine Learning
Observations of neutron stars provide estimates of their mass and radius—key parameters for constraining their still uncertain equation of state. However, the accuracy of paramete…
Curiosities of a Systems Engineer
AI has helped enable me as a systems engineer to dive deep into subjects outside my expertise. Helping bridging the gap between specialists and generalists. This includes helping…
Continuing Adventures in the Discovery of Multiple Star Systems with AI/ML
Early data-driven analyses of ozone chemistry sensitivity primarily relied on "ratio-based" indicators to partially linearize the non-linear aspects of urban ozone chemistry, whic…
Autonomous Science and Technology for Responsive Adaptation (ASTRA)
The ASTRA team is working to develop and mature capabilities for extensibility and science autonomy. Extensibility would give us the ability to add and collaborate among multi-org…
Multimodal Earth Observation Workflow for Machine Learning (MEOW-ML): A Case Study in Canopy Height Model and Canopy Height Change Prediction
Here we introduce an updated version of Multimodal Earth Observation Workflow for Machine Learning (MEOW-ML), an end-to-end data fusion and artificial intelligence (AI) and machin…
Sub-Saharan West Africa Land Cover Change
In recent decades, Sub-Saharan West Africa has seen rapid and ongoing land cover change fueled by population growth and subsequent agricultural expansion and intensification. Thes…
Near-real-time aerosol retrievals from OMPS Limb Profiler measurements
Rapid aerosol retrievals from OMPS Limb Profiler are important to monitor large wildfires and volcanic eruptions that reach the stratosphere. These near-real-time (NRT) retrieval…
Retrieving stratospheric water vapor from OMPS Limb Profiler measurements
Stratospheric water vapor (SWV) plays an important role in atmospheric chemistry, dynamics, and radiative forcing. OMPS Limb Profiler (LP) provides daily near-global coverage and…
Retrieving stratospheric NO2 profiles from OMPS Limb Profiler measurements
Stratospheric NO2 plays an important role in ozone photochemistry. The OMPS Limb Profiler (LP) instrument provides daily near-global coverage; it is currently operating on two sa…
Automated identification of volcanic plumes
Use ML to reduce noise in image of satellite SO2 retrievals, and automatically identify volcanic SO2 plumes in the images.
Correcting NASA NPOL weather radar beam blockage using machine learning approaches
Our objective is to fill in blocked radar data using Convolutional Neural Networks (CNN). This project is in the early stages in preparing the data and model for training.
Application of ML to Detection of Anomalies in Spacecraft Health and Status Data
We are collaborating with the Magnetospheric Multiscale (MMS) mission to research Machine Learning (ML) techniques capable of predicting and detecting anomalies in spacecraft heal…
AI: Logic Design and Verification
There has been much discussion on the use of Artificial Intelligence (AI) in many fields. This study is a first look at the use of AI in the field of digital electronics, primari…
SOLARIS-AI: Analyze Planetary Modulation in Solar Activity Cycles (Prediction of solar storms possible?)
This AI-driven project analyzes multi-decadal solar activity datasets to identify and quantify periodic signals that correlate with planetary orbital mechanics. The project proces…
Specifying Properties Of Dayside Magnetopause Reconnection From A Machine-Learning Model For The Earth'S Cusps
Implementation of models of the magnetospheric CUSP using in-situ ion flux data from ESA's Cluster mission and DMSP spacecraft. The models produce 3-D ion flux distributions in re…
Strategic Text Augmentation & Research Synthesis for Physics Innovation Narratives & Evaluations"
This project is an AI-assisted daily workflow solution designed to streamline the scientific documentation process for physics researchers. The system leverages ChatGSFC's advance…
AI Based VoIP Outage Prevention
This project is to collect the live data from Voice Over Internet Protocol (VoIP) currently resides in NASA network. Then to apply an appropriate Machine Learning technique to lea…
Quantification of Uncertainty Analysis Toolkit (QUAnT)
The Quantification of Uncertainty Analysis Toolkit (QUAnT) is a digital-twin framework that informs and guides the design process of complex, large-scale, multidisciplinary system…
Machine Learning effort to calculate Parker Solar Probe magnetometer offsets
Testing various ML algorithms to model the magnetometer offset values at points in the orbit where the traditional methods are not available.
Identifying global dust and smoke over ocean using MODIS sensor
Using ML RF/CNN to detect dust in MODIS images.
A Forecasting Scheme For Accelerated Harmful Algal Bloom Monitoring (FASTHAB)
To develop an AI/ML forecast water quality model initial targeted for the Chesapeake bay.
Instantaneous photosynthetically available radiation models for ocean waters using neural networks
Neural network forward models were developed to predict subsurface vertical profile of instantaneous photosynthetically available radiation (IPAR) for both open ocean and coastal…
Space Grade Linux
Current methodologies to deploy edge AI on spacecraft face a critical cost barrier due in part by reliance on traditional real-time operating systems. The solution lies in adoptin…
Integrating Explainable Machine Learning with Physics for Enhanced Wildfire Detection in Observation-Constrained Environments
Satellite-based fire detection provides critical data for fire management, fire spread modeling, air quality forecasts, and assessments of fire impacts on ecosystems and communiti…