Urban Data & Transport Planning with Transfers by Manuela M. Veloso

Thursday, February 13, 2014 - 6:00pm
Davis Auditorium, Room 412, Shapiro SEPSR
500 West 120th Street
New York, NY 10027
United States

Abstract: In this talk, I will present a few urban data sets and discuss extracted patterns and models, and their variability. Based on vehicle routes of several data sets, I will then present a novel transport planning algorithm with transfers and show the corresponding resource savings. This work is in collaboration with students, in particular with Brian Coltin.

Biography: Manuela Veloso’s long-term research goal is the effective construction of autonomous agents where cognition, perception, and action are combined to address planning, execution, and learning tasks. Her vision is that multiple intelligent robots with different sets of complementary capabilities will provide a seamless synergy of intelligence. Manuela Veloso’s research focuses on the continuous integration of reactive, deliberative planning, and control learning for teams of multiple agents acting in adversarial, dynamic, and uncertain environments. Her multiagent and multirobot research interests have been motivated by and experimented in the domain of robot soccer. Since 2009, she has been investigating indoor mobile, service, companion robots, CoBots, such that robots and humans interact in a symbiotic relationship building upon individual strengths and limitations. Veloso created and directs her CORAL overarching research lab for the research on intelligent agents that Collaborate, Observe, Reason, Act, and Learn. As of 2010, she has ten PhD students and has graduated other twenty one PhD students, whose theses are available at her website She thanks her students for the compelling research that they jointly pursue.

Big Data/Digital Scholarship

Monday, November 18, 2013 - 5:00pm to 6:00pm
The Studio@Butler, 208b Butler Library
Columbia University
New York, NY 10027
United States
The University Seminar on Big Data and Digital Scholarship is pleased to announce our next meeting (this Monday):
Daniel Krasner
Data Scientist, Co-founder KFit Solutions/Advisor Johnson Research Labs
High Performance Text Processing and the Columbia Declassification Engine Project

On the Computational and Statistical Interface and Big Data by Michael Jordan

Tuesday, October 15, 2013 - 3:00pm to 4:00pm
313 Fayerweather
Columbia University
New York, NY 10027
United States

Professor pictureMichael I. Jordan (born 1957) is an American scientist, Professor at the University of California, Berkeley and leading researcher in machine learning and artificial intelligence presented "On the Computational and Statistical Interface and Big Data" at a Seminar series event for the Data Science Institute at Columbia University on October 15, 2013.


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