Machine Learning Projects

Building a Classifier to Predict Crop Types Using Remote Sensing Indices

Analyzed Landsat satellite imagery and USDA Cropland Data Layer (CDL) to identify the top five crop types in Illinois and Iowa. Engineered features from remote sensing indices (e.g., NDVI, NDWI…

Developing Latent Space System Identification Techniques for Autoencoders

Numerically solving time-dependent partial differential equations (PDEs) can be challenging and computationally expensive. This has prompted the development of reduced order models (ROMs) for…

Mapping Amazon Food Reviews to Stars

Developed an embedding-based neural network in PyTorch to classify Amazon food reviews into star ratings from 1 to 5. The dataset…

Satellite Based Detection of Rocket Emission

Analyzed Sentinel-5P satellite data to track atmospheric gas concentrations over Cape Canaveral Island during a launch period. Engineered features from atmospheric indicators—including trace gases…

Using Fourier Neural Operator (FNO) for Spatial Compression

Similar to my GPLaSDI project at Lawrence Livermore National Laboratory, I explored the application of Fourier Neural Operator (FNO) for spatial compression. Instead of performing operator learning…