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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.
Machine learning for early detection of diabetes
David Sontag is leading a research group, with collaborators from NYU, Langone Medical Center, and Independence Blue Cross, to apply machine learning techniques to IBC's medical and pharmacy claims data to detect patients at risk for undiagnosed diabetes or pre-diabetes. The co-investigators are Saul Blecker and Ann Marie Schmidt, at Langone, and Yann LeCun at Courant. Link
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CRA Undergraduate Researcher Award
Mark Rich has received an honorable mention in the CRA (Computing Research Association) Undergraduate Research Awards. Mark's project, carried out under the advisement of Prof. Lakshmi Subramanian, involved building a city-level traffic congestion detection and mitigation system that computes real-time traffic densities, based on data from noisy traffic cameras at different locations within a city. The system uses a belief network to interpret and integrate the data, and then leverages this information to accurately predict traffic congestion levels and potentially mitigate traffic jams. Mark is a senior with a double major in Economics and a joint major in Computer Science and Mathematics.
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Outstanding Teacher Award
Craig Kapp has received an Outstanding Teacher Award for 2013.
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Motion Capture for Terrorist Surveillance
Chris Bregler's work on applying motion capture technology to detecting terrorist activities in videos of crowds is featured in an article in the online Scientific American. Link
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Outstanding Contribution to ACM Award
Zvi Kedem has received the Outstanding Contribution to ACM award for his leadership in rebuilding the ACM Computing Classification System (CCS) as a modern cognitive map of the computing field for the worldwide computing community. As editor-in-chief, Kedem managed the effort to revise and automate the key component that underlies the ACM Digital Library's search index infrastructure. Link
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Hacking
Evan Korth discusses hacking in a PBS OffBook video. Link.
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Learning and modeling the circuits that operate life:
The Bonneau lab aims to learn large biological networks directly from genomics data (genomics =3D very scalable biology experiments). Our recent work, as part of collaborative teams of systems biologists and
computational biologists, has recently resulted in genome-wide models that are capable of simulating the functioning of the genome in real time (Bonneau, et. al, 2006, Cell). Dr. Bonneau's lab develops new
algorithms that attempt to learn the regulatory networks (their topology and dynamical parameters) that are at the core of biological systems. This work was featured in a 2008 Discover Article, where Dr.
Bonneau was selected as one of the top 20 scientists under 40.
Thiswork is collaborative work that relies on NYU's local expertise in Machine Learning, Modeling complex systems and their dynamics, and Genomics.
 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.
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