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Welcome to NYU's Computer Science Department, part of the world-famous Courant Institute of Mathematical Sciences. Our department has considerably expanded over the past few years, adding many outstanding faculty with diverse research interests. We are proud of our strong research and educational connections to other departments and schools at NYU, including the departments of Mathematics, Chemistry, Physics, and Biology; the Center for Neural Science; the Stern School of Business; the Tisch School of the Arts; the Wagner School of Public Service; and the NYU School of Medicine.
Our undergraduate majors and MS students have numerous
interesting and well-paying employment opportunities at major
corporations in New York City and vicinity. Our PhD
graduates are employed in a broad spectrum of
academic and industrial research positions.
If you cannot find the information you are looking for on our Web site, please send a message to webmaster@cs.nyu.edu and we will do our best to provide it.
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New Computer Modeling Program Can Help Hospitals Prepare For The Worst
A new and novel computer modeling platform developed through intensive,
multidisciplinary collaboration at New York University... [more]
Chris Bregler Receives $1.47 Million Grant to Enhance Motion Capture Tools .
New York University Computer Science Professor Chris Bregler has received a
$1.47 million grant from... [more]
NYU Computer Science Students Make Awesome iPhone Apps. This semester, NYU's Computer Science department
offered the class "iPhone Programming",... [more]
Ben Jai reveals Google's data center secrets. Ben Jai, Google Server
Architect, revealed Google's data center secrets at their Efficient Data Center
Summit... [more]
Bud Mishra named a IEEE fellow. Bud Mishra was named a Fellow of the IEEE in January 2009,
for "contributions to the mathematical modeling of robotic
grasping"... [more]
Ken Perlin to direct new Games for Learning Institute. Ken Perlin will direct a new Games for Learning Institute
(G4LI). This institute, funded by Microsoft Research... [more]
SIGSOFT Impact Paper Award. Amir Pnueli (and co-authors) received a 2008 "Impact
Paper Award" of the ACM Special Interest Group on
Software Engineering (SIGSOFT)... [more]
IAS/NYU/Princeton/Rutgers NSF "Expeditions" grant. Subhash Khot, Assaf Naor and collaborators at Princeton, Rutgers, and the IAS received one of the first four "Expeditions" NSF grants. Their
research,
to "understand, cope with, and benefit from intractability", seeks to... [more]
Margaret Wright receives an honorary doctorate from KTH. Margaret Wright received an honorary doctorate of technology
from KTH (Royal Institute of Technology), Stockholm, in
November 2008... [more]
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As we prepare to usher in the age of individualized medicine (think of a search and recommender system that helps you make your medical decisions using data that are several order larger in magnitude than the current Internet), we have to attack the underlying statistical analysis problem on several fronts: (1) Technology, (2) Systems Biology and Genetics, (3) Statistical Algorithms, and (4) Large-Scale System Building. Prof Mishra's group has been engaged in developing a single-molecule sequencing technology (SMASH) and sequence assembly algorithms (SUTTA) to collect very high-quality haplotypic sequencing data from a large number of individuals. Using this data, we aim to catalog and understand how different genetics polymorphisms originate and diffuse through the population. This understanding will make it possible to discover and exploit groups of genetic markers to drive the core recommender engine of individualized medicine.
"Information Extraction" (IE) is the automatic identification of instances of specified types of entities, relations, and events in natural language text: for example, finding all reports of expected layoffs in news.IE enables automatic creation of specialized indexes, timelines and maps. The NYU NLP group designs algorithms and tools for automated creation of IE systems in English, Chinese and Japanese. Our tools are based on
semi-supervised learning, which requires only minimal user input (some initial examples of what is to be extracted) and learn most of what they need to know from the texts themselves.
 Ernie Davis studies how a computer program could understand simple physics and chemistry experiments, such as the one from Michael Faraday's "Natural History of a Candle", in which hydrogen is produced by passing steam over heated iron filings. Understanding such experiments involves combining formal scientific knowledge, such as the chemical equations; commonsensical physical and spatial knowledge, such as the knowledge that the gas will be trapped in the inverted test tube; and knowledge of the perceptual and manipulative powers of the experimenters, such as knowing they can see the water level lowering in the test tube, though they cannot see the hydrogen gas directly. A particular focus of Davis' work is on the use of partial knowledge of the geometry involved; for instance, the exact shape of the test tube is not critical, but it is critical that it does not have a hole at the top.
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We are deeply saddened to announce the passing of our
distinguished
colleague and friend, Professor Amir Pnueli, on November 2,
2009.
[more]
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