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


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 . 

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

The software will be published along with a paper. 

PhD student Faiza Khan Khattak and CCLS researcher Ansaf Salleb-Aouissi's paper "Robust Crowd Labeling using Little Expertise" gets accepted at the Sixteenth International Conference on Discovery Science

Discovery Science 2013

Crowd-labeling emerged from the need to label large-scale and complex data, a tedious, expensive, and time-consuming task. But the problem of obtaining good quality labels from a crowd and their integration is still unresolved. To address this challenge, we propose a new framework that automatically combines and boosts bulk crowd labels supported by limited number of “ground truth” labels from experts.

The ground truth labels help to estimate the individual expertise of crowd labelers and difficulty of each instance, both of which are used to aggregate the labels.

Innovative Building Operating System Provides the Brain for Smarter Cities

CCLS Smart Energy team's work on Building Operating Systems

CCLS Senior Research Scholar Dr. Roger Anderson and the Smart Energy team's innovative work on Building Operating System was the lead story in the Columbia Engineering newsletter.  The article can be found here.  

Here are the team members who are part of this exciting work:

Selex ES, Rudin Management and Columbia University team up for energy saving innovative system Di-BOSS™

CCLS project with SelexES and Rudin Management

The global technology company Selex ES of Finmeccanica is bringing to market Di-BOSS™, a new generation of digital building operating systems that will be unveiled at IBCon 2013
(Intelligent Building Conference) at the Orange County Convention
Center in Orlando, June12-13. 

WordsEye Team with Daniel Bauer from CCLS wins grand prize for the New York State Business Plan Competition

PhD Students Bob Coyne and Daniel Bauer (CCLS), along with team advisor Prof Julia Hirschberg and Neelam Brar from the Columbia-London EMBA-Global program, have won the $100,000 grand prize for the New York State Business Plan Competition. The Columbia team was chosen from among 430 teams from nearly 60 colleges and universities across the state. The team won for WordsEye, a natural language processing system that creates 3D scenes from simple textual descriptions.

New director of CCLS - announcement from Kathy McKeown, Director, IDSE

Becky Pssonneau

I am pleased to announce that Rebecca Passonneau has agreed to take over as Director of CCLS. Becky has been a member of CCLS for about seven years now (as her linked in account just reminded me) and was actively involved in the administration of CCLS over the past two years as acting associate director during the transition from Dave's reign as Director. Becky has been active in research efforts involving speech and dialog, multimodal processing, summarization evaluation, ConED projects, among many others. We are moving to a model similar to the chair model used in CS where director will serve for three years and may be elected to a second term by CCLS research scientists.

Please join me in welcoming Becky into her new position effective immediately.

CCLS's Apoorv Agarwal awarded an IBM PhD fellowship

Apoorv Agarwal, a PhD student in the Computer Science department who is working with Owen Rambow at the Center for Computational Learning Systems, has been awarded an IBM PhD Fellowship for 2013-2014.  The award follows a highly competitive worldwide selection process.  Apoorv's research at Columbia concentrates on extracting social networks from written documents, by identifying the "social events" which make up our social relations.  For detecting social events, Apoorv uses advanced natural language processing methods including syntactic and semantic parsing, and machine learning approaches based on tree kernels.  While an intern at IBM's Watson group in the past, Apoorv worked on improving the Watson system and on porting it to the medical domain. 

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