IDEA Lab Theses and Dissertations

Members - Faculty, students, and collaborators
Research - Details about our current research projects
Theses and Dissertations - Publications and code releases for student theses and disserations
Publications - Recent technical papers and presentations
Software - Recent software releases
 

The following students have graduated from the IDEA lab and have provided copies of their thesis or dissertation. In most cases, there is also the data and code used in their experiments. Click on the names below for their individual pages.

  • David Gagne (2016): Coupling Data Science Techniques and Numerical Weather Prediction Models for High-Impact Weather Prediction
  • Ryan Lagerquist (2016): Using Machine Learning To Predict Damaging Straight-Line Convective Winds
  • Brittany Dahl (2014): Sensitivity of Vortex Production to Small Environmental Perturbations in High-Resolution Supercell Simulations School of Meteorology, University of Oklahoma.
  • Thibault Lucidarme (2014). Automatic Recognition of Supercells Thunderstorms in Numerical Weather Data. Master's Thesis, School of Computer Science, University of Oklahoma.
  • Morgan Robertson (2014). Learning Ensembles of Linear Gaussian Networks for Nonlinear and Spatial Data. Master's Thesis, School of Computer Science, University of Oklahoma.
  • Andrew MacKenzie (2013). An Automated, Multi-parameter Dryline Identification and Tracking Algorithm. Interdisciplinary Master's Thesis, Graduate School, University of Oklahoma.
  • Carlos Sanchez (2013). A Risk and Trust Security Framework for the Pervasive Mobile Environment. PhD Dissertation, School of Computer Science, University of Oklahoma.
  • Xiaolei Yan (2013). Reinforcement Learning Schedule for Heteorogenous Multi-Core Processors.Master's Thesis, School of Computer Science, University of Oklahoma.
  • David Gagne (2012). Machine Learning Enhancement of Storm Scale Ensemble Precipitation Forecasts. Master's Thesis, School of Meteorology, University of Oklahoma.
  • Zachery Tidwell (2012) Expert Move Prediction for Computer Go using Spatial Probability Trees. Master's Thesis, School of Computer Science, University of Oklahoma.
  • Scott Hellman (2012). Learning Ensembled Dynamic Bayesian Networks. Master's Thesis, School of Computer Science, University of Oklahoma.
  • Rachel Shadoan (2012). Visual Analysis of Higher-Order Conjunct Relationships in Multi-Dimensional Data using a Hypergraph Query System. Master's Thesis, School of Computer Science, University of Oklahoma.
  • Christopher Utz. (2010). Learning Ensembles of Bayesian Network Structures Using Random Forest Techniques. Master's Thesis, School of Computer Science, University of Oklahoma.
  • Nathaniel Troutman. (2010). Enhanced Spatiotemporal Relational Probability Trees and Forests. Master's Thesis, School of Computer Science, University of Oklahoma.
  • Derek Rosendahl. (2008). Identifying Precursors to Strong Low-Level Rotation within Numerically Simulated Supercell Thunderstorms: A Data Mining Approach.Master's Thesis, School of Meteorology, University of Oklahoma.

Created by amcgovern [at] ou.edu.

Last modified August 20, 2016 2:04 PM