Data Mining Lab @ USU

Welcome!

We are the Data Mining Lab (DmLab) at Utah State University, led by Soukaina Filali Boubrahimi. We develop machine learning models for geoscience and space-weather applications, with emphasis on time-series analysis, multimodal data fusion, and graph-based models. Our group builds interpretable, data-driven models for water resources management and space-weather forecasting.

🎥 Watch this 2-min overview of our research:

Current Students

• Name: Omar Bahri
• Degree: PhD, CS
• Achievements:
  • Conference papers in Big Data and ICMLA
  • Journal article in ApJS
  • Two internships at Amazon (Summer 2024 & Summer 2025)

• Name: Peiyu Li
• Degree: PhD, CS
• Achievements:
  • Conference papers in Big Data, DSAA, ICPR and ICMLA
  • Journal article in ApJS

• Name: Pouya Hosseinzadeh
• Degree: PhD, CS
• Achievements:
  • Conference papers in Big Data, DSAA, ICPR and ICMLA
  • Journal articles in hydrology
  • Journal articles in ApJs

• Name: Akhila Akkala
• Degree: MS, CS
• Project: Spatio-Temporal Graph Neural Networks for Streamflow Prediction in the Upper Colorado Basin
• Achievements:
  • Journal articles in hydrology

Alumni

• Yagnashree Velanki (MS in Data Science) – Graduated in Summer 2024.
  Thesis Title: “Feature Selection in Multivariate Time Series Data for Enhanced Solar Flare Classification”.
  Current Position: Data Scientist, Datafy

• Saichand Thota (MS in Computer Science) – Graduated in Spring 2024.
  Thesis Title: “Enhancing Monthly Streamflow Prediction Using Meteorological Factors and Machine Learning Models in the Upper Colorado River Basin”.
  Current Position: Senior AI/ML Engineer, Allied WorldAllied World

• Rob Johnson (MS in Data Science) – Graduated in Summer 2023.
  Thesis Title: “Physics-Guided Deep Learning For Solar Wind Modeling at L1 Point”.
  Current Position: Systems Engineer, Northrop Grumman

• Scott Johnson (MS in Computer Science) – Graduated in Summer 2023.
  Thesis Title: “Comparative Study of Clustering Techniques on Eye-tracking in Dynamic 3D Virtual Environments”.

• Ashit Neema (MS in Data Science) – Graduated in Summer 2022.
  Thesis Title: “Spatiotemporal Data Augmentation of Modis-Landsat Water Bodies Using Generative Adversarial Networks”.

• Nikhil Sai Kurivella (MS in Computer Science) – Graduated in Summer 2021.
  Thesis Title: “Comparative Study of Machine Learning Models on Solar Flare Prediction Problem”.
  Current Position: Associate, Goldman Sachs

Interested in what we do?

If you’re interested in joining our group, send an email with your interests and CV to soukaina.boubrahimi@usu.edu