2014 Summer Interns: Final REU papers are linked when available.

• Miguel Aleman, University of Puerto Rico, Mayaguez, Puerto Ricl: Personalized Learned Model to Predict Being Under the Influence
• Adam Barker, University of Colorado, Colorado Springs, Colorado: Stencil Code Optimization for GPUs through Machine Learning
• Michael Gohde, University of Colorado, Colorado Springs, Colorado: RSSE: A New Method for Distributing Datasets and Machine Learning Software
• George C. Guvernator V, The College of William and Mary Williamsburg,Virginia: Learning Patterns for Mobile Interface Design
• Cody Kinneer, Allegheny College, Meadville, Pennsylvania: Learning User Behavior for Mobile Test Suite Adequacy
• Tate Krejci, University of Colorado, Colorado Springs, Colorado: Diagnosis of Autism Spectrum Disorders Using an Interactive Diagnosis Program
• Conor McGrory, Princeton University, Princeton, New Jersey: Simplified Statement Extraction Using Machine Learning Techniques
• Rachel Moore, University of Colorado, Colorado Springs, Colorado: Extreme Value Theory and Visual Recognition
• Jacob Zerr, Texas A&M University, College Station, Texas: Question Generation Using Part-of-Speech Information
• Jamie O'Brien, St. Mary's College of Maryland, St. Mary's City, Maryland: Mining ECG Data Using Hadoop to Evaluate Stroke Risk