Congratulations to Mona Diab on becoming the first CCLS Research Scientist to become a University Senator!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.
Waltz on Automating Science
CCLS Director, David Waltz is featured in the April 2009 issue of AAAS Science magazine for Automating Science.
Computers with intelligence can design and run experiments, but learning from the results to generate subsequent experiments requires even more intelligence.
Association for Computing Machinery Awards Vladimir Vapnik
ACM Awards Recognize Innovators in Computer Science who Solve Real World Problems
The Paris Kanellakis Theory and Practice Award
Corinna Cortes and Vladimir Vapnik
For their revolutionary development of a highly effective algorithm known as Support Vector Machines (SVM), a set of related supervised learning methods used for data classification and regression common in the field of artificial intelligence. As a result of this work, SVM is one of the most frequently used algorithms in machine learning, which is used in medical diagnosis, weather forecasting, and intrusion detection among many other practical applications.
Google Research Awards Professor Nizar Habash
Professor Nizar Habash selected to receive a Google Research Award
New York, March 17th, 2009
CCLS is proud to announce that the Google Research Awards program has selected Nizar Habash to receive an award for his project, “Arabic Generation in Statistical Machine Translation.”
"We are very excited about your work and are thrilled to support this project."
Google Inc. (Alfred Spector, Jeff Walz, Juan E. Vargas, Angie Cantelmi)
