Labs and Centers | NYU Tandon School of Engineering

Labs and Centers

Computer Science and Engineering


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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.

5G Emulation

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.


Chunara Lab

The overarching goal of our research is to develop the principles needed ...



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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.


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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.

Cybersecurity Risk and Strategy. Binary code and locks

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.


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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.

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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. 

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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.