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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.
Best Paper at SIGCHI 2012
Yuichiro Takeuchi and Professor Ken Perlin won a Best Paper prize at the SIGCHI 2012 for "ClayVision : The (Elastic) Image of the City". Congratulations! Link
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How the Blind are Reinventing the iPhone
Nektarios Paisios's research on applying computer technology for the blind is featured in an article in Atlantic Magazine. Link
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NYU President's Service Award
Erica Wolfe has been awarded an NYU President's Service Award for her work as President of both the Graduate Student Government and the Masters Association for Computer Science.
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Tamar Schlick named 2012 SIAM Fellow
Tamar Schlick, Professor of Chemistry, Mathematics, and Computer Science has been named a Fellow of SIAM (Society of Industrial and Applied Mathematics). She is being conferred the fellowship for contributions to integration, optimization, and modeling techniques for the study of biomolecular structure and function. Dr. Schlick's research team develops innovative molecular modling, bioinformatics, and mathematical methods to study problems in DNA repair and fidelity mechanisms, chromatin folding, and RNA structure and function. Link
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Motion Capture and Orchestra Conduction
Chris Bregler's Motion Capture Lab has been working with Alan Gilbert, the music director of the New York Philharmonic, in applying motion capture technique to the gestures and motions of an orchestral conductor. Link.
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NYUAD Workshop on Women in Computing in the Arab World
The NYUAD Regional Collaborative Workshop on Women in Computing in the Arab World, organized by Sana' Odeh, took place on March 4-5. Forty Prominent international and regional women (CS professors, IT professionals and entrepreneurs) from 13 countries from the Arab World, the US and Canada. This unprecedented regional workshop explored the opportunities as well as the diverse challenges facing women in computing in the Arab World. Link
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 With Ph.D. student Eugene Weinstein and Google researcher Pedro Moreno, Mehryar Mohri is working on audio fingerprinting techniques that enable computers to recognize songs. This work represents songs in terms of "music phonemes", elementary units of music sound that are learned from data, and uses weighted finite-state transducers to construct a compact and efficient index of a large database of songs. The image depicts an example of such a transducer. As a result, songs can be recognized quickly and accurately when only a recording of a short "audio snippet" is available and even when the recording is distorted. The group has created a working system with a database of 15,000 songs. Moreover, it has proven new bounds on the size of the indexing finite automata used that guarantee the compactness of this representation as the number of songs indexed increases and suggests that their techniques scale to much larger song data sets.
The NYU Movement Group (http://movement.nyu.edu), under the direction of Chris Bregler, conducts research on human motion analysis and synthesis. The group was recently awarded $1,472,000 from the Office of Naval Research for a 3-year project to study human motion styles. This new project, called GreenDot, investigates vision and machine learning techniques in order to detect human body language in video footage. The goal of the project is to train a computer to recognize a person based on his or her motions, and to identify the person's
emotional state, cultural background, and other attributes. The project's current focus is analyzing the body language of national and international public figures.
Programming language technologies help reduce software complexity. But they also are hard to realize, since compilers are complex systems themselves. To simplify compiler construction, Robert Grimm's xtc project explores how to make languages and their compilers more easily extensible, focusing on source-to-source transformers that translate extended languages to more basic versions. The resulting toolkit is used to implement the Jeannie language, which extends both Java and C by nesting Java and C code within each other at the level of individual statements and expressions. Jeannie eliminates verbose boiler-plate code, enables static error detection across the language boundary, and simplifies dynamic resource management. This research is joint work between Robert Grimm's group, Martin Hirzel at IBM Research, and Kathryn McKinley's group at UT Austin.
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