Research Groups & Labs | NYU Tandon School of Engineering

Research Groups & Labs

affiliated with the Center for Urban Science + Progress

CUSP’s research is both mission- and impact- oriented. We integrate data analytics and technologies to specific ends and for the public good. Whether developing a physical product, analyzing trends at the micro and macro levels, or creating new processes for optimal efficiencies, our work is always focused on improving daily life for urban citizens.

graduate students setting up research equipment in lab

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New York City skyline at dusk

CUSP Urban Observatory (CUSP-UO)

Through the novel use of observational and analytical techniques, the Urban Observatory at the Center for Urban Science + Progress (CUSP-UO) studies the complex interactions between the physical, natural, and human components of the city as a coherent, definable system with the goal of enhancing public well-being, city operations, and future urban plans. 

3-D model of Soft-Story Earthquake Retrofit Program in Oakland

Disaster Risk Analysis Lab

Natural catastrophes are steadily increasing in severity and frequency as cities become larger, denser, and more interconnected. The Disaster Risk Analysis Lab's goal is to extend the limits of what is feasible with catastrophe modeling and collaborate synergistically with researchers within and outside civil engineering to leverage new technologies to increase post-disaster power accessibility, provide more effective disaster emergency response, and reduce risk trajectories in our cities.

2 students in the lab putting a harness on a mannequin

Dynamical Systems Laboratory (DSL)

Professor Maurizio Porfiri’s group conducts multidisciplinary research in the theory and application of dynamical systems, motivated by the objectives of advancing engineering science and improving society. Their theoretical expertise is in controls, networks, nonlinear dynamics, and time-series, while our application domain is in modeling and analysis of physical, social, and technical systems. 

View from Virtual Reality Headset

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.


Machine Learning for Good Laboratory (ML4G Lab)

The ML4G Lab is focused on development of novel machine learning methods for addressing critical urban problems and improving public health, safety, and security.

digitized padlock with numbers and letters superimposed


mLab is broadly interested in real-world security and privacy threats in healthcare and consumer technologies. Led by, Assistant Professor Danny Yuxing Huang, mLab builds systems to measure these threats at scale.

Screenshot from the Open Seventeen demo day

The Governance Lab (The GovLab)

Founded at NYU Tandon, the GovLab aims to strengthen the ability of institutions – including but not limited to governments – and people to work more openly, collaboratively, effectively and legitimately to make better decisions and solve public problems.

urban landscape with symbolic digital connections

Urban Complexity Lab (UCOMP)

Urban Complexity Lab is unfolding complexity of urban systems for research, innovation and applications. We leverage big urban data and cutting-edge machine learning and network analysis techniques to make our cities more smart, efficient, sustainable, and resilient – better places to live in.

computer generated building and data points

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.