2022-2023 Undergraduate and Graduate Bulletin (without addenda) [ARCHIVED CATALOG]
Department of Computer Science and Engineering
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 Return to: Academic Department, Degree and Program Information
Interim Chair: Lisa Hellerstein
Mission Statement
The Department of Computer Science and Engineering is committed to preparing undergraduate and graduate students for leadership roles in professional and research activities in the information-technology sector. The department fosters an environment that encourages lifelong learning in the Information Age. Graduates lead and grow in diverse working environments and apply the theories and skills of computer science to real-world problems. Toward this end, the department conducts state-of-the-art research in theoretical and applied computer science and maintains strong educational programs that emphasize breadth and depth in technical knowledge and proficiency in spoken and written communication skills. The environment encourages Invention, Innovation and Entrepreneurship (i2e).
The Department
Computers are now used in practically every area of human endeavor and are radically changing both the way people live and how they view the limits of human capabilities. Job opportunities in computer science and engineering are challenging and diverse. According to the U.S. Bureau of Labor Statistics, current job growth in computer science is among the highest of any technical profession.
NYU Tandon’s Department of Computer Science and Engineering offers programs leading to a B.S., M.S. and Ph.D. in Computer Science , and an M.S. in Cybersecurity . The department offers joint programs with the Department of Electrical and Computer Engineering , leading to a Computer Engineering, B.S. , and the NYU School of Law, leading to a Cybersecurity Risk and Strategy, M.S. (Offered jointly by the NYU School of Law and NYU Tandon School of Engineering) The department also offers an advanced certificate in software engineering and cybersecurity and minors in Computer Science and Game Engineering .
The department is active in research in several key areas of computer science. Its particular strengths are in security and privacy; big data analysis and visualization; computer vision, game engineering; and algorithms and theoretical computer science.
The security and privacy concentration-also including cybersecurity, one of the largest growing fields in computer science-has research strengths in peer-to-peer security, digital forensics, biometrics, wireless security, and usable security. Big data analysis is strong in data management, computing, analyzing, and visualizing urban, scientific, and Web data. Computer vision puts a primary focus on medical image analysis. Game engineering focuses on computer graphics and perceptual science as well as artificial intelligence in gaming and player modeling. Finally, theoretical computer science is based in computational and discrete geometry, data structures, and machine learning.
The CSE department is at the center of a high-tech start-up culture where student and faculty innovation and entrepreneurship activities are supported and nurtured both in New York City, Brooklyn and across the NYU Global Network University. The faculty works closely with NYU Tandon’s Center for Advanced Technology in Telecommunications (CATT) and has relationships with industries that support research and activity in their special interests.
NYU Tandon School of Engineering has been designated as a Center of Excellence for Information Assurance Education for research by the National Security Agency (NSA) and operates the Scholarship for Service Program (SFS) in Information Assurance.
The department provides students with a wide variety of advanced computer and software systems. These support PC and UNIX technology along with highly distributed networks. The department has four dedicated computer-science laboratories (virtual lab) for upper-level undergraduate students. They are the Software Engineering Laboratory, Parallel and Distributed Systems Laboratory, Visualization and Graphics Laboratory and Computer System and Security Integration Laboratory. Multimedia and Web-based laboratories are also available.
Contact
NYU Tandon School of Engineering
Computer Science and Engineering Department
370 Jay Street, 8th floor, rm 851
Brooklyn, NY 11201
Tel: (646) 997-3440
Web: http://engineering.nyu.edu/academics/departments/computer-science-engineering
Degrees Offered
Bachelor of Science
Master of Science
Doctor of Philosophy
Undergraduate Programs
For undergraduates, the department offers two degrees: a Bachelors of Science in Computer Science (B.S. CS) and a Bachelors of Science in Computer Engineering (B.S. CompE). The Bachelor of Science in Computer Science is a rigorous program that not only covers fundamental computer science subjects, such as object-oriented programming, computer architecture and operating systems, but also provides a number of exciting avenues for specialization including computer and online game development, cyber security, Internet/web systems and applications, bioinformatics, graphics and vision, digital media and management and entrepreneurship. Strong students can also apply to the B.S./M.S. Program where it’s possible to earn the B.S. and M.S. in computer science within approximately 5 years.
The department jointly administers the Bachelors of Science in Computer Engineering with the Department of Electrical and Computer Engineering. It draws on the two departments’ strengths to provide a focus on computer system design with integrated understanding of computer hardware and software.
Master’s Programs
The M.S. in Computer Science permits students to take courses either on a full-time or part-time basis. The curriculum has been designed for maximum flexibility. It includes fundamental courses in computer science as well as electives in specialized advanced courses on topics including computer and network security, distributed systems and networking, computer graphics, computer vision, databases and web search technology. By electing the masters-thesis option, students may also pursue research with faculty members who are internationally recognized in their fields.
The M.S. in Cybersecurity is a highly innovative program that provides students with the critical knowledge and skills to become experts in cybersecurity, the science of protecting vital computer networks and electronic infrastructures from attacks. The program responds to the growing demand for security specialists in industry as well as government organizations.
Ph.D. Program
The Ph.D. program develops graduate skills in a broad range of areas as well as expertise in one or more specific areas and the ability to think critically and conduct independent research. Outstanding Ph.D. students are advised to apply for financial aid in the form of teaching assistantships, research assistantships or partial-tuition remission.
Faculty
Professors
Boris Aronov
Ph.D., Courant Institute of Mathematical Sciences, New York University
Algorithms, computational and combinatorial geometry
Juan Pablo Bello
Ph.D., Queen Mary, University of London
Digital signal processing, machine listening and music information retrieval, sound and music informatics
Juliana Freire
Ph.D., State University of New York at Stony Brook
Data analysis and visualization, Big Data, provenance management and analytics, scientific data management, large scale information, web information retrieval and analysis, web crawling, hidden web
Guido Gerig
Ph.D., Swiss Federal Institute of Technology Zurich (ETH-Z)
Image processing & analysis, medical image processing, 3D computer vision, shape analysis, spatiotemporal modeling
Lisa Hellerstein
Interim Department Chair
Ph.D., University of California at Berkeley
Computational learning theory, machine learning, algorithms, complexity theory, discrete mathematics
Nasir Memon
Ph.D., University of Nebraska
Data compression, image and video processing, computer security, multimedia computation and communication
Keith W. Ross, Leonard J. Shustek Distinguished Professor
Ph.D., University of Michigan
Computer networking, Internet research, multimedia networking, scholastic modeling
Claudio T. Silva
Ph.D., State University of New York at Stony Brook
Big Data and Urban Systems, Visualization and Data Analysis, Geometry Processing
Torsten Suel
Ph.D., University of Texas at Austin
Design and analysis of algorithms, database systems, parallel computation, experimental algorithmics
Paul Torrens
Ph.D., University College London
Development and application of modeling and simulation tools for exploring and explaining complex urban systems
Associate Professors
Justin Cappos
Ph.D., University of Arizona
Practical security, virtualization, cloud computing, software update systems, testbeds
Yi-Jen Chiang
Ph.D., Harvard University
Computer graphics: out-of-core scientific visualization, isosurface extraction, surface simplification, virtual reality, air traffic control. Computer algorithms: I/O algorithms, computational geometry, graph algorithms, approximation algorithms, data structures
Rumi Chunara
Ph.D., Harvard University
Information retrieval, spatio-temporal analyses, data mining, machine learning and epidemiological methods for new data sources
Rachel Greenstadt
Ph.D., Harvard University
Designing more trustworthy intelligent systems via highly interdisciplinary approach by incorporating ideas from artificial intelligence, psychology, economics, data privacy, and system security
Damon McCoy
Ph.D., University of Colorado, Boulder
Security and privacy of large-scale systems
Julian Togelius
Ph.D., University of Essex
AI, player modeling, procedural content generation, automatic game design, believable bot behavior, coevolution, neuroevolution, genetic programming and monte carlo tree search
Edward Wong
Ph.D., Purdue University
Computer vision, image analysis, pattern recognition, computer graphics
Assistant Professors
Brendan Dolan-Gavitt
Ph.D., Georgia Institute of Technology
Program analysis, virtualization security, memory forensics, and embedded and cyber-physical systems
Chinmay Hedge
Ph.D., Rice University
Machine Learning, Algorithms, Big Data, Signal and Image Processing
Christopher Musco
Ph.D., MIT
Scalable machine learning, foundations of data science, numerical linear algebra, theory of algorithms, randomized algorithms, sketching and streaming
Julia Stoyanovich
Ph.D., Columbia University
Responsible data management and analysis practices
Qi Sun
Ph.D., Stony Brook University
Virtual/Augmented Reality, Computer Graphics, Computer Vision, Computational Perception
Industry Faculty
Greg Aloupis
Ph.D., McGill University
Algorithms
Peter DePasquale
Ph.D., Virginia Polytechnic
Computer Science Education, Cloud Computing, Web Development and Security
Ratan Dey
Ph.D., New York University
Privacy & Security, Online Social Networks, AI & Machine Learning, Big Data & Databases, Internet Measurement
Jeffrey Epstein
Cambridge University
Computer Science Education, Cloud Computing, Web Development and Security
Daniel Katz-Braunschweig
M.S., Iona College
Thomas Reddington
M.S. Physics, University of Pittsburgh, PA
Networking and networking security
Darryl Reeves
Ph.D., Cornell University
Computational biology, machine learning
Gustavo Sandoval
M.S., California State University at Sacramento
Machine Learning, Distributed Systems, Operating Systems, Mobile applications, and Project Management
Linda Sellie
Machine Learning
John B. Sterling
M.S., New York University
Game programming, software development
Fred J. Strauss, Director of CSE programs in Melville Campus-Long Island
M.S., Polytechnic Institute of New York
Software engineering, project management, distributed systems
Itay Tal
M.S., Tel-Aviv University
Global Network Faculty
Nizar Habash
Ph.D., University of Maryland College Park
Natural language processing and computational linguistic
Affiliated Faculty
Enrico Bertini
Ph.D., Sapienza University of Rome in Italy
Data visualization methods
Cameron Craddock
Research professor
Semiha Ergan
Ph.D., Carnegie Mellon University
IT to support design, construction and operations of civil infrastructure systems
Chen Feng
Ph.D., University of Michigan
Robot vision and machine learning
Siddharth Garg
Ph.D., Carnegie Mellon University
Machine learning, cybersecurity and computer hardware design
Danny Y. Huang
Ph.D., University of California, San Diego
Cybersecurity, privacy, and Internet of things (IoT)
Ramesh Karri
Ph.D., University of California, San Diego
Trustworthy hardware, nanoscale architectures, and cybersecurity
Oded Nov
Ph.D., Cambridge University
Human computer interaction
Brandon Reagan
Ph.D., Harvard University
Computer architecture, hardware acceleration, and VLSI
Faculty Emeriti
Phyllis G. Frankl
Ph.D., New York University
Software analysis and testing
Haldun Hadimioglu
Ph.D., Polytechnic University
Computer architecture, parallel processing, reconfigurable systems and application specific processors
Kok-Ming Leung
Ph.D., University of Wisconsin
Scientific computing, computer simulation, neural networks
Henry Ruston
​Martin Shooman
Ph.D., Polytechnic Institute of New York
Stuart Steele
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