Company Mention Detection for Large Scale Text Mining won Best Paper Award

A paper by Becky, Tifara, and Boyi won best paper award at the International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. The citation is as follows:

Passonneau, Rebecca J.; Ramelson, Tifara; Xie, Boyi. 2014. Company Mention Detection for Large Scale Text Mining. International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K, Special Session on Text Mining). 21-24 October, Rome Italy.

 

GE Uses AI to Charge Electric Cars Without Running Up the Bill

CCLS is featured in the article GE Uses AI to Charge Electric Cars Without Running Up the Bill by Wired.

"It’s a complicated problem, which is why General Electric, teaming up with Con Edison and researchers Columbia University’s Center for Computational Learning, has picked out one element of the puzzle to address first: How to run EV chargers in New York City buildings without also running up a ginormous bill."

CCLS Team wins a NSF I-Corps grant

National Science Foundation

Congratulations to the team from CCLS (Manoj Pooleery as PI, Apoorv Agarwal as Entrepreneurial lead) under the business mentorship of Ted Antkowiak from NGI Invent, who has been awarded a NSF I-Corps grant.
The I-Corps grant is a seed grant that feeds into a series of NSF SBIR grants. The main purpose of icorps is to encourage researchers to step out the building and talk to real customers to understand how the research being developed in labs may be commercialized to solve real world challenges.

The award amount is $50,000 and will run from July 2014 through December 2014.

More details may be found on NSF’s website, here: http://www.nsf.gov/awardsearch/showAward?AWD_ID=1445411

Dr. Ansaf Salleb-Aouissi awarded an NSF grant

National Science Foundation

Congratulations to Dr. Salleb-Aouissi, who has been awarded an NSF IIS grant entitled "EAGER: Collaborative Research: Advanced Machine Learning for Prediction of Preterm Birth".

This two-year $206,100 grant runs from September 1, 2014-August 31, 2016, and is joint with Prof. Anita Raja at Cooper Union, Dr. Ronald Wapner from the Department of Obstetrics and Gynecology and Dr. Bob Carpenter from the Institute for Social and Economic Research and Policy (ISERP).
Dr. Salleb-Aouissi’s share of the grant is $175,457.

More details may be found on NSF’s website, here: http://www.nsf.gov/awardsearch/showAward?AWD_ID=1454855

Dr. Smaranda Muresan awarded a ROADS grant

Congratulations to Dr. Smaranda Muresan, who has been awarded a ROADS grant entitled "Reducing Racial and Gender Achievement Gaps in STEM: Use of Natural Language Processing to Understand Why Affirmation Interventions Improve Performance". The ROADS (Research Opportunity and Approaches to Data Science) grants are awarded by the Institude for Data Sciences and Engineering, Columbia University. 

This two-year $199,091 grant runs from July 2014-June 2016, and is joint with Prof. Valerie Purdie-Vaughns of Columbia University, Department of Psychology. 

More details may be found on IDSE's website, here: http://idse.columbia.edu/provost-ignition-grants

 

Dr. Smaranda Muresan awarded NSF grant

National Science Foundation

Congratulations to Dr. Smaranda Muresan, who has been awarded an NSF IIS grant entitled "RI: Medium: Collaborative Research: Write A Classifier: Learning Fine-Grained Visual Classifiers from Text and Images."

This three-year $963,196 grant runs from June 2014-May 2017, and is joint with Prof. Ahmed Elgammal of Rutgers University. Dr. Muresan’s share of the grant is $463,208.

More details may be found on NSF’s website, here: http://www.nsf.gov/awardsearch/showAward?AWD_ID=1409257

Francesco Calabrò, CTO of Selex ES to join CCLS in managing the joint Micro and Smart Electric Grid efforts

Francesco Calabro

Francesco Calabrò, Chief Technology Officer/ Capability Manager of Selex ES, a subsidiary of Finmeccanica, Italy’s second largest conglomorate, will join CCLS beginning in May for an extended 2 year assignment managing our joint Micro and Smart Electric Grid efforts.

Francesco comments on his appointment, “As a component of the CTO Capability Function inside the “Smart Solutions” line of business at Selex ES, I’m responsible for the solutions that challenge the international business environment concerning Smart Energy (Micro Grids and Smart Grids) and Smart Buildings. I am customer service-oriented, and accustomed to dealing with clients’ needs.”

Mattia Cavanna, VP of the New Business Initiatives Unit at Finmeccanica, to join CCLS as a Visiting Scholar

Mattia Cavanna

It is with great pleasure that Mattia Cavanna, Vice President of the New Business Initiatives Unit within the Strategy, Business Development and Innovation Department of Finmeccanica, Italy’s second largest conglomerate, will be joining CCLS as a Visiting Scholar during several weeklong visits in 2014. Finmeccanica’s subsidiary, Selex ES, is funding the Research & Development of version 2 of CCLS’s Total Property Optimizer, the ‘brain’ within Di-BOSS, the world’s first Digital Building Operating System, which in turn is a 3-way partnership among Columbia, Selex and Rudin Management, among the top owner/operators of commercial skyscrapers in New York City.

CCLS Senior Research Scientist Prof. Vladimir Vapnik wins the NEC C&C 2013 prize

NEC C&C Foundation

CCLS Senior Researcher Prof. Vladimir Vapnik was awarded the NEC C&C prize for 2013 (¥10,000,000), for contributions to establishing Statistical Learning Theory and for the invention of high-performance and practical Learning Algorithms.

CCLS Researcher Ansaf Salleb-Aouissi, and co-workers' paper "QuantMiner for Mining Quantitative Association Rules" gets accepted for publication in the Journal of Machine Learning Research (JMLR) open source software

QuantMiner

CCLS Researcher Ansaf Salleb-Aouissi, and co-workers' paper "QuantMiner for Mining Quantitative Association Rules" gets accepted for publication  in the Journal of Machine Learning Research (JMLR) open source software http://jmlr.org/mloss/ . 

Authors: Ansaf Salleb-Aouissi, Christel Vrain , Cyril Nortet, Xiangrong Kong, Vivek Rathod, and Daniel Cassard.

The software will be published along with a paper. 

Syndicate content