Research Groups & Labs

The CERA Lab, directed by Assistant Professor Yuki Miura, advances solutions for climate and hazard related risks through data-driven research. By identifying, quantifying, and mitigating risks, it supports building resilient communities, protecting assets, and supporting institutions and communities, working closely with stakeholders.

The Digital Health Work initiative, directed by Professor Oded Nov, is an interdisciplinary research program at NYU that brings together technological, organizational, and medical innovations toward a healthy and resilient society, and an inclusive healthcare workforce.

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.

Geosimulation is a catch-all phrase that can be used to represent a new wave of spatial simulation modeling that has come to the fore in very recent years.

The igNYte Lab is a cutting-edge fire research laboratory dedicated to advancing fire safety through science and technology. The lab develops advanced diagnostics to enhance firefighting strategies and emergency responses, supporting the long-term efforts of the FDNY.

The ICL, directed by Assistant Professor Qi Sun, 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.

The ML4G Lab, directed by Professor Daniel Neill, is focused on developing novel machine learning methods for addressing critical urban problems. By creating, deploying, and evaluating new methods in collaboration with public sector partners, the lab hopes to advance the state of the art in machine learning and to improve the quality of public health, safety, and security.

The mLab, directed by Assistant Professor Danny Yuxing Huang, is broadly interested in designing, developing, and evaluating real-world systems that enable ML/AI research in cybersecurity and healthcare, especially for at-risk populations.

MARL, directed by Professor Juan Pablo Bello, is an interdisciplinary center at the intersection of science, technology, music, and sound, with research connecting a wide range of fields ranging from computing and artificial intelligence, immersive and interactive technologies, to the latest advances in neuroimaging of the human brain.

The mission of the Resilient Urban Networks (RUN) Lab is to develop computational tools and data-driven models that help us better understand the complex interplay between collective human behavior and the built environment exposed to such drastic changes.

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 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.

The mission of the Urban Modeling Lab is to transform urban engineering by bridging the gap between civil engineering and computer science. Directed by Professor Debra Laefer, the Lab focuses on developing tools to better understand the urbanbuilt environment through pioneering new methods to optimize and synthesize multi-modal data collection, storage, and processing.

Cities extend their influence far beyond their physical boundaries, affecting ecosystems, climate, and societies worldwide. The Urban Planet Lab, directed by Assistant Professor Anamika Shreevastava, studies the dynamics and impacts of urbanization at multiple scales—from local neighborhoods to global systems—to better understand and address the complex challenges of our increasingly urbanized world.