Systems Engineering & Complex Decision-Making

BUILT @ NYU conducts research in the area of transportation systems design and modeling.

The biLAB focuses on understanding the operational challenges associated with construction and operation of facilities and infrastructure systems in urban settings.

Our lab addresses the critical challenge of energy material sustainability by focusing on closing their lifecycle through fundamental research and maintaining zero-waste experimental practices.

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.

Dynamical Systems and Artificial Intelligence Lab (DSAIL) uses the financial application domain as a challenging real-world dynamical system environment in which to advance machine learning.

The mission of the EMERGE lab is to make it easy and efficient to develop capable, safe, and intelligent multi-agent systems through learning, simulation, and data. We emphasive use-inspired basic research where we draw inspiration as to what research is needed from specific problems in multi-agent autonomy and transportation.

The Human Factors and Urban Ergonomics Lab (Human FUEL) conducts research primarily on transportation systems focusing on understanding and enhancing human behavior as they interact with complex systems, with the ultimate goal of improving operator safety and reducing injuries and fatalities.

Led by Assistant Professor Daniel A. Vignon, the lab aims to inform the design, regulation, and operations of emerging mobility services. Research looks at infrastructure systems, ride-hailing services, and dynamics of transportation systems.

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.

The Ruyle lab examines how human activity, the biosphere, and climate change impact water quality. Our lab uses controlled experiments and environmental measurements to build models describing the severity and impacts of chemical contamination. Our goal is to protect safe water and ensure healthy ecosystems and communities.

Smart Innovations in Built Environment Research (SiBER) Lab, led by Mohamad Awada, explores the integration of AI, machine learning, and digital technologies to enhance the performance, resilience, and sustainability of civil infrastructure. The lab focuses on digital twins, smart monitoring, and data-driven solutions for structural assessment and urban systems.

We are focused on creating new data-driven methodologies to observe, model, and analyze the urban environment. Our work is grounded in solving real-world problems and providing decision-makers with a comprehensive understanding of the relationships between physical infrastructure systems, natural systems, and human systems.