Drs. Dutta, Waltz, Schevon and Emerson win an NSF award to work on a Distributed Framework for Learning on EEG Data obtained from Epilepsy Patients
Project Name: EEGMine: A Distributed Framework for Learning 
on EEG Data obtained from Epilepsy Patients
PI/Co-Pis: Haimonti Dutta, David Waltz, Catherine A Schevon
and Ronald Emerson
NSF Project ID: IIS-0916186
Award: $440,000 for 2 years
Drs. Waltz and Vapnik win an NSF grant to study Learning Using Hidden Information
Dr. David Waltz and Dr. Valdimir Vapnik has been awarded a grant by the National Science Foundation to perform researc
h in the area of "An Advanced Learning Paradigm: Learning Using Hidden Information". This project will be focusing on developing algorithms in the SVM family that allow extra information to be used effectively during training, with the understanding that this extra information will not be available during actual operation.
Dr. Rambow and Prof. Hirschberg wins an NSF grant to convert text into 3D scenes
Prof. Julia Hirschberg and Dr. Owen Rambow, along with Richard Sproat of the Oregon Health and Science University, have been awarded a grant by the National Science Foundation to develop new theoretical models and technology to automatically convert descriptive text into 3D scenes representing the text’s meaning.
IEEE Spectrum Magazine Article on Epilepsy Early Warning Project
"A New Approach to Predicting Epileptic Seizures" - The June 2009 issue of IEEE Spectrum features the work done by The Epilepsy Early Warning (EWARN) project team.
