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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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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.
Dennis Shasha works with biologists on pattern discovery for microarrays, combinatorial design, network inference, visualization, and protein docking; with physicists, musicians, and financial people on algorithms for time series; and on database applications in untrusted environments. Other areas of interest include database tuning as well as tree and graph matching. Because he likes to type, he has written six books of
puzzles about a mathematical detective, a biography about great computer scientists, and technical books about database tuning, biological pattern recognition, time series, and statistics. For fun, he writes the puzzle column for Scientific American.
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.
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