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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.
Microsoft Research PhD Fellowship
Russell Power is one of the 12 recipients of the Microsoft Research PhD Fellowships for 2012. Congratulations to Russell and to Jinyang Li, his advisor!
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Elementary and High School Math
Prof. Alan Siegel, together with Profs. Stanley Ocken and Ethan Aken of CUNY spoke to the Pelham Math Committee about the need for a strong K-12 math curriculum and about the inadequacies of the current "Investigations" curriculum. Read More: Link
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People to watch
Two alumni of the Computer Science Department are featured in the article "NewYork tech: 12 people to watch in 2012" in the New York Daily News. Rebecca Zhou (CS minor) organized the "Raise Cache" event last November to raise funds for HackNY. Alex Iskold (MSCS) is the founder of GetGlue, a social network based on entertainment. Read More: Link
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Evan Korth, Deena Engel, Adam Meyers and Mike Zamansky, an integral part of Academy for Software Engineering
The Academy for Software Engineering, a new New York City public high school, will be opening this fall. Prof. Evan Korth will be Chair of the Advisory Board for the school. The school was inspired by Stuyvesant High School's successful program led by Computer science Teacher Mike Zamansky who is an alumnus of the Computer Science department (BA, MSc). Professors Adam Meyers and Deena Engel also serve on the Advisory Board.Read More: Link
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MuseAmi presented at CES
MuseAmi, a music software engine created by a team including Yann LeCun, was presented at the International Consumer Electronics Show. Read More in an articel in the Philadelphia inquirer: Link
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Job opportunities for computer science majors
A story on CNN Money about the growing popularity of the CS major and the job opportunities it offers features interviews with Prof. Evan Korth and NYU CS major Tal Safran. Link.
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One of the central questions in Richard Cole's current research is whether real-world emergent behavior can be understood in algorithmic terms. Such behaviors range from the "invisible hand" in economic markets to collective animal actions such as flocking. They can also be viewed as being produced by distributed systems that converge toward (destination) states corresponding to the emergent behavior; in other words, these distributed systems are implicitly computing these destination states. Two questions are then very natural: (i) What is the algorithm? (ii) When and why does it exhibit convergence? Currently, Prof. Cole and co-workers are studying price discovery in economic markets from this perspective.
The Internet contains billions of images, freely available online. Methods for efficiently searching this incredibly rich resource are vital for a large number of applications. These include object recognition, computer graphics, personal photo collections, online image search tools. In recent work we have developed efficient image search and scene matching techniques that are not only fast, but also require very little memory, enabling their use on standard hardware or even on handheld devices. Rob Fergus uses recently developed machine learning techniques to represent each image using a compact binary code, a tens of bits in length. His approach makes it possible to perform real-time searches with millions from the Internet using a single large PC.
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.
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