FlaPLeT is an open-source, full-stack web platform that enables end-to-end machine learning workflows for solar flare prediction through an interactive user interface. Its modular design also provi…

Dynamo: Diffusion Model-guided Masked Modeling for Time Series Generation

TIMED: Adversarial and Autoregressive Refinement of Diffusion-Based Time Series Generation

This project investigates the detection of AI-generated code versus human-written code, addressing academic integrity concerns in educational settings where generative models (e.g., ChatGPT, Codex)…

This project addresses the challenge of predicting baseline energy usage in buildings for performance-based financing. Participants estimate what energy a building *would have used* without retrofi…

On March 7, 2012, active region 11429 produced an X5.4 flare (00:02 UTC).

By analyzing the results of this project, we can identify the most effective data preprocessing techniques and classifiers, ultimately leading to the development of a highly accurate solar flare pr…

These notebooks provide a comprehensive workflow, from start to finish, for processing and analyzing the SWAN-SF dataset. They include detailed steps for reading the dataset files, performing full …

The SWAN-SF dataset is now fully preprocessed, optimized, and ready for binary classification tasks. Our team is excited to release the enhanced version of the SWAN-SF dataset across all five parti…

We introduce an advanced framework that integrates the advantages of an autoencoder-generated embedding space with the adversarial training dynamics of GANs for time series generation.

This advanced framework integrates the benefits of an Autoencoder-generated embedding space with the adversarial training dynamics of GANs for time series generation..

We introduce AVATAR, a framework that combines Adversarial Autoencoders (AAE) with Autoregressive Learning for time series generation.

Accurate solar flare prediction is crucial for mitigating risks to astronauts, space equipment, and satellite communication. Our study enhances prediction accuracy using advanced preprocessing and …

At Utah State University, my coursework encompassed Data Science classes, where I mastered data manipulation and analysis, Machine Learning classes that taught me to construct predictive models, a…

Detecting Anomalies in a patient heartbeat (Electrocardiogram Data) using LSTM Autoencoder

Forecasting Weather by Australian Weather Data and Neural Prophet

Automate Stocks and Crypto News Research (Preprocessing Text, Summarization, Sentiment Analysis) by using NLP

Detecting COVID-19 from X-Ray Images with a CNN

Brain Tumor Detection from MRI Images with a CNN