Research Experiences for Undergraduates:
Integrated Machine Learning Systems

University of Oklahoma

University of New Mexico

Project topic areas


Weather Prediction
NOAA Central Library; OAR/ERL/National Severe Storms Laboratory (NSSL)

Interactive Art

Relational Models

Computational Neuroscience

Detecting Internet Censorship

Evolutionary Computation

Relational Representations
and Reinforcement Learning

Malware Detection

Machine Learning and Law

This REU site focuses on integrating machine learning into real-world applications though interdisciplinary collaborations. Machine learning techniques enable computing devices to automatically discover how to extract salient information from complex data sets and how to optimally perform tasks. Applications include robot control, severe weather prediction, computer security, brain-machine interfaces, computational neuroscience, bioinformatics, law, and interactive art. Students will receive training in a variety of areas, including statistical machine learning, embedded system design, empirical methods, sensor processing, control, embedded interfaces, technical writing, oral presentation, ethics, and graduate school preparation. Each student will be paired with a faculty mentor who is an expert in machine learning and with a supporting mentor who is an expert in the real-world application domain.

2010 Eligibility

Eligible students are undergraduates who:
  • Are currently enrolled in a university or college program

  • Are considering graduate studies and/or a career in the areas of embedded systems and/or applied machine learning
  • Will graduate between the Fall of 2010 and the Spring of 2012 (currently sophomores and juniors, respectively)

  • Are citizens or permanent residents of the United States or its possessions

Program Timing

Due to the advanced nature of this topic, students will be involved during both the summer and academic year (March - October). During the summer, students will spend a 12-week period working full time at either the University of Oklahoma or the University of New Mexico. During the academic year, students will participate from their home institution via video- and teleconference. This latter time (about 5 hours per week) will be used to prepare for the coming summer and to complete experiments and writing projects.

We are no longer accepting applications.

Program Information

Linkes to Previous Years' Programs


Andrew H. Fagg

Amy McGovern

Jedidiah Crandall

Rafael Fierro

Dean F. Hougen

Terran Lane

Theresa Cullen

Supporting Mentors

Jerry Brotzge
Center for Analysis and Prediction of Storms, OU

Adam Brown
School of Art, OU

Rodger A. Brown
NOAA/National Severe Storms Laboratory, OU Campus

Vince Calhoun

Kelvin K. Droegemeier
School of Meteorology, OU

Emily Meazell
College of Law, OU

Melanie Moses

Robert Rennaker
Aerospace and Mechanical Engineering, OU

Michael Richman
School of Meteorology, OU

Chris Weaver

Other REU Opportunities

Sponsored by:

The material on this web site is based upon work supported by the National Science Foundation under Grant No. IIS/REU/0755462. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

fagg [[at]]

Last modified: Tue Apr 27 01:31:07 2010