Dr. Owen Rambow receives a Google Research Award

Normalization of i18n Treebanks

In a joint project with Lori Levin (CMU) (who independently received a related Google award), Owen Rambow will define a syntactic representation which will abstract as much as possible from language-specific differences.

 

Dr. Nizar Habash receives a Google Research Award

Preserving Morphological Richness in Poor-Pivot-based Statistical Machine Translation

The proposed effort addresses the weakness of using a morphologically poor language (English) as a pivot/bridge in statistical machine translation between morphologically rich languages (Hebrew and Arabic).

 

Dave Waltz receives Distinguished Service Award!

Dr. David Waltz was selected as the 2011 recipient of the AAAI Distinguished Service Award. The award was established in 1999 to honor an individual for extraordinary and sustained service to the artificial intelligence community.

 

 

CCLS Research Scientist Nizar Habash Receives QNRF Award

CCLS receives its first international grant award. The granting agency is the Qatar National Research Fund (QNRF), part of its National Priorities Research Program (NPRP). Out of 1,400 letters of intent submitted to the current NPRP cycle, 631 proposals were considered for review, and 145 projects were awarded (for a total of $121M).

CCLS & GRA Heba Elfardy receive award for a Student Seed Fund Grant from NCWIT & Returnpath

We live in the era of computational thinking. No citizen should be left behind, especially 50% of the human race. Women deserve to be active participants in this "race". It's about time that more women join Computer Science. We need to dispel myths that CS is for men only, or that math is too hard for women, or that women are less creative, therefore they can't handle CS.

 

 

 

Drs. Salleb-Aouissi, Passonneau, Waltz, McCord, McGurk and Elhadad awarded a Research Initiatives in Science and Engineering (RISE) funding from the Columbia University Executive Vice President for Research

CCLS researchers, Ansaf Salleb-Aouissi,  Rebecca Passonneau, David Waltz, their collaborators from Columbia University Medical School, Mary McCord, Harriet McGurk and CU Biomedical Informatics  colleague Noémie Elhadad were awarded funding by Columbia University's Office of the Executive Vice President for Research, for their research on “Understanding Infantile Colic via Machine Learning”.

 

CCLS wins GE Ecomagination Innovation Prize

The CCLS submission “Creation of a Columbia Machine Learning System to Optimize the Recharging of Electric Delivery Vehicles in Large Urban Cities” has been chosen as the “Winning University Program” in General Electric’s Ecomagination Innovation Challenge of 2010.GE’s CEO Jeff Immelt presented the award funding the 3 year, $1.1 million project, at a live event in New York City on Novem

Dr. Monteleoni and co-authors win Best Application Paper Award at CIDU 2010

 

CCLS researcher, Claire Monteleoni, and her co-authors, Gavin Schmidt, and Shailesh Saroha, were awarded Best Application Paper at the NASA Conference on Intelligent Data Understanding (CIDU) 2010, for their paper, "Tracking Climate Models," which uses machine learning to combine the predictions of 20 global climate models.

 

 

Dr. Monteleoni awarded Earth Institute funding for research on Climate Informatics

 

CCLS researcher, Claire Monteleoni, and her collaborator Gavin Schmidt, were awarded funding by Columbia University's Earth Institute, for their research on Climate Informatics.  The funding will support an undergraduate research assistant on the project.

 

 

 

 

Drs. Dutta, Passonneau and Waltz win a grant from the National Endowment for the Humanities to use crowd-sourcing technologies for tagging and learning from historic newspaper articles of the New York Public Library.

NEH_logo_1.jpegComputers may have defeated humans in chess and arithmetic, but there are many areas where the human mind still excels such as visual cognition and language processing (Comm. of ACM, Vol 52, No 3, March ’09). If one mind is good, it has been argued that several minds are likely to be superior in certain tasks than individuals and even experts.

Syndicate content