Labs and Centers
Computer Science and Engineering
Algorithms and Foundations Group
The Algorithms and Foundations Group at NYU's Tandon School of Engineering is composed of researchers interested in applying mathematical and theoretical tools to a variety of disciplines in computer science. We study problems in machine learning, geometry, computational biology, computational mathematics, and beyond.
Center for Advanced Technology in Telecommunications (CATT)
CATT promotes industry-university collaborative research and development in these areas: wireless and personal communications networks and devices, secure information technologies, and media and network applications/services.
Center for Urban Science and Progress (CUSP)
The Center for Urban Science and Progress (CUSP) is an interdisciplinary research center dedicated to the application of science, technology, engineering, and mathematics in the service of urban communities across the globe. Using New York City as our laboratory and classroom, we strive to develop novel data- and technology-driven solutions for complex urban problems.
Chunara Lab
The overarching goal of our research is to develop the principles needed to incorporate unstructured, Internet and mobile data into a better understanding of population-level health. We primarily develop computational methods across data mining, natural language processing, and machine learning to generate features for spatio-temporal population-level public health models.
Cybersecurity for Democracy
Cybersecurity for Democracy is a research-based, nonpartisan, and independent effort to expose ...
DICE (Data, Intelligence, and Computation in Engineering) Lab
The Data, Intelligence and Computation in Engineering (DICE) Lab is led by Assistant Professor Chinmay Hegde and focuses on theoretical and applied aspects deep learning and machine learning.
Game Innovation Lab
The Game Innovation Lab brings together faculty and students from the School of Engineering and the greater NYU community doing research focused on games as an innovation challenge. The Lab's emphasis is on the technical / engineering / science side of games and simulations. Sample projects include user interface innovation (sensor-based tracking, multi-touch), network and video quality research, and research on games for learning.
Immersive Computing Lab
The Immersive Computing Lab at NYU Tandon School of Engineering conducts cutting edge research that spans the fields of computer graphics, physics, and computational cognition, with the goal of creating unprecedented virtual and augmented reality systems to revolutionize urban life. Our research directions include novel multimodal/low-latency/immersive interaction devices, bio-physically inspired wearable displays, perception-aware VR/AR, and beyond.
NYU Center for Cybersecurity (CCS)
CCS is an interdisciplinary research institute dedicated to training the next generation of cybersecurity professionals and to shaping the public discourse and policy landscape on issues of technology and security. The Center is a collaboration among NYU Tandon School of Engineering and other NYU schools and departments.
Offensive Security, Incident Response, and Internet Security Lab
The OSIRIS Lab is a student-run cybersecurity group that is part of the NYU's Center for Cyber Security.
Secure Systems Lab
The Secure Systems Laboratory (SSL), under the direction of Professor Justin Cappos, works to find practical and deployable solutions to real-world security threats.
Urban Modeling Group
Our mission is to change the way urban engineering is done by bridging the gap between Civil Engineering and Computer Science. We focus on developing tools to better understand the urban built environment through pioneering new means to optimize and synthesize multi-modal data collection, storage, and processing.
Visualization and Data Analytics Center
ViDA consists of computer scientists who work closely with domain experts to apply the latest advances in computing to problems of critical societal importance, and simultaneously generate hypotheses and methods that new data demands.