RESEARCH
To benefit the city and other partners, NYU CUSP’s research is both mission- and impact- oriented. We develop and integrate data analytics and technologies to specific ends and for the common good, such as improving building energy usage and controlling noise pollution. Our interdisciplinary research teams bring together experts in the physical and natural sciences, computer and data science, the social sciences, engineering, and professional fields such as policy, design, and finance.
Affiliated Research Groups & Labs
The Coleridge Initiative
Providing a secure platform where users connect to relevant datasets for policy research using confidential micro-data.
Providing a secure platform where users connect to relevant datasets for policy research using confidential micro-data.
The SimSpace Lab at CUSP and the NYU Tandon Department of Computer Science and Engineering is a mixed sensing and simulation facility for studying human behavior in intricately high-fidelity. We are interested in a range of application areas, including autonomous vehicles, special effects and animation, and future forms of location-aware technology being developed as Edge AI.
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.
The ML4G Lab is focused on development of novel machine learning methods for addressing critical urban problems and improving public health, safety, and security.
Sounds of New York City (SONYC)
An NSF funded smart cities project focused on developing a cyber-physical system for the monitoring, analysis and mitigation of urban noise pollution.
An NSF funded smart cities project focused on developing a cyber-physical system for the monitoring, analysis and mitigation of urban noise pollution.
Urban Complexity Lab (UCOMP)
Urban Complexity Lab is unfolding complexity of urban systems for research, innovation and applications, applying cutting edge data science, machine learning and network analysis techniques and big urban data for making our cities more smart, efficient, sustainable and resilient.
Urban Complexity Lab is unfolding complexity of urban systems for research, innovation and applications, applying cutting edge data science, machine learning and network analysis techniques and big urban data for making our cities more smart, efficient, sustainable and resilient.
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.
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.
CUSP Urban Observatory (CUSP-UO)
Through the novel use of observational and analytical techniques, the Urban Observatory 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.
Through the novel use of observational and analytical techniques, the Urban Observatory 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.
Automation and Intelligence for Civil Engineering (AI4CE)
The AI4CE lab aims to advance robotic vision and machine learning through multidisciplinary use-inspired research that originates from civil/mechanical engineering domains.
The AI4CE lab aims to advance robotic vision and machine learning through multidisciplinary use-inspired research that originates from civil/mechanical engineering domains.
Building Informatics and Visualization Lab (biLAB)
biLAB focuses on understanding the operational challenges associated with construction and operation of facilities and infrastructure systems in urban settings.
biLAB focuses on understanding the operational challenges associated with construction and operation of facilities and infrastructure systems in urban settings.
Behavioral Urban Informatics, Logistics, and Transport Laboratory (BUILT)
The BUILT lab conducts research on dynamic operations of urban mobility systems and developing tools for policymakers to as evaluate Mobility-as-a-Service markets, using methods from network optimization, machine learning, and econometrics.
The BUILT lab conducts research on dynamic operations of urban mobility systems and developing tools for policymakers to as evaluate Mobility-as-a-Service markets, using methods from network optimization, machine learning, and econometrics.
Dynamical Systems Laboratory (DSL)
At the Dynamical Systems Laboratory (DSL) we conduct interdisciplinary research on the theory and application of dynamical systems, toward advancing engineering sciences and improving society
At the Dynamical Systems Laboratory (DSL) we conduct interdisciplinary research on the theory and application of dynamical systems, toward advancing engineering sciences and improving society
Prof. Choromanska's research focuses on optimization (deep learning landscape, deep learning optimization, and general machine learning optimization), large data analysis (extreme multi-class and multi-label classification and density estimation), and machine learning for robotics and autonomy (autonomous driving systems, self-driving cars, AI-based robotics).
The Wagner Innovation Labs are a new series of policy experiments that marry theory and practice to promote informed, evidence-based decision-making in a complex world. Each project reflects NYU Wagner's broad commitment to bringing scholars, thinkers, and practitioners together, both figuratively and literally, to improve the way policy is made.
Laboratory for Agile and Resilient Complex Systems (LARX)
Our research leverages AI, games, and system scientific methods to develop emerging urban sciences and technologies. Our research focuses on critical infrastructure protection and develops a science of security and resilience for critical infrastructures and systems.
Our research leverages AI, games, and system scientific methods to develop emerging urban sciences and technologies. Our research focuses on critical infrastructure protection and develops a science of security and resilience for critical infrastructures and systems.
The Machines in Motion Lab tries to understand the fundamental principles for robot locomotion and manipulation that will endow robots with the robustness and adaptability necessary to efficiently and autonomously act in an unknown and changing environment.
SEARCH: Smart Energy Research Group
The SEARCH group assists the world in transitioning toward smart electricity systems by developing next-generation data analytics and decision-making tools.
The SEARCH group assists the world in transitioning toward smart electricity systems by developing next-generation data analytics and decision-making tools.
Silverman Laboratory (Environmental Engineering)
The Silverman Laboratory conducts research to understand and design sustainable and appropriate wastewater treatment process, in an effort to protect public health and environmental quality.
The Silverman Laboratory conducts research to understand and design sustainable and appropriate wastewater treatment process, in an effort to protect public health and environmental quality.
In a climate changed world, flooding is expected to have an outsized influence on public health and infrastructure in urban areas. With sea level rise and a greater frequency of high intensity precipitation events, city drainage systems will increasingly be overwhelmed resulting in urban flooding.
Partner Centers
C2SMART, a USDOT Tier 1 University Transportation Center, uses cities as living laboratories to study challenging transportation problems and find solutions from the unprecedented recent advances in communication and smart technologies.
The NYU Center for Cybersecurity (CCS) is an interdisciplinary research institute dedicated to training the current and future generations of cybersecurity professionals and to shaping the public discourse and policy, legal, and technological landscape on issues of cybersecurity.
The Governance Lab (The GovLab)
The GovLab studies the impact of technology on governing. This "think" and "do" tank partners with public institutions to design, implement and assess innovative ways of using technology to advance more effective and legitimate governing.
The GovLab studies the impact of technology on governing. This "think" and "do" tank partners with public institutions to design, implement and assess innovative ways of using technology to advance more effective and legitimate governing.
Visualization & 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 sources and data types demand.
NYU WIRELESS
NYU WIRELESS provides next-generation research to help the development of 6G and beyond technology.
NYU WIRELESS provides next-generation research to help the development of 6G and beyond technology.