Labs and Groups
Source: https://engineering.nyu.edu/academics/departments/mechanical-and-aerospace-engineering/labs-and-groups Parent: https://engineering.nyu.edu/academics/departments/mechanical-and-aerospace-engineering
Much of our research is multi-disciplinary. Our faculty and students partner with colleagues in other departments in the School of Engineering, as well as other NYU Schools.
AI4CE Lab
The AI4CE Lab aims to advance Robotics and AI in areas such as localization, mapping, navigation, mobile manipulation, and scene understanding to address infrastructure challenges on Earth and beyond, including construction robotics, manufacturing automation, and autonomous vehicles.
Applied Dynamics and Optimization Laboratory
We aim to establish mathematical models, quantitative criteria, and algorithmic/computational foundations toward their implementations in robotics (for design and control), biomechanical systems (for prediction and analysis), and their intersections such as lower-body wearable robots.
Applied Micro-Bioengineering Laboratory (AMBL)
Taking advantage of state-of-art nanotechnologies and fabricating fascinating functional biomaterials and integrated biosystems, the Professor Weiqiang Chen’s laboratory addresses numerous important problems in fundamental biology as well as clinical applications in disease diagnosis and treatment.
Climate, Energy, and Risk Analytics Lab
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.
Composite Materials and Mechanics Laboratory
CMML focuses on research related to lightweight highly damage tolerant materials and aims at understanding the fundamental role of porosity in materials. The specialty of the lab is in the area of hollow particle filled composites called syntactic foams and in dynamic characterization of materials.
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.
Fire Research Group
Researchers at the Fire Research Group work on an online, scenario-based simulation training program for firefighters. ALIVE (Advanced Learning through Integrated Visual Environments) is a decades-long effort to bridge the information gap between research and real-life firefighting.
igNYte Lab
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.
Machines in Motion
We try 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.
Mechatronics, Controls, and Robotics Lab
The lab provides undergraduate and graduate students a real-world, hands-on experience in modern DSP- and PC- based data acquisition and real-time control.
NanoBioX
The NanoBioX initiative at NYU stimulates fundamental research and technological innovation at the intersection of nanotechnology, biomedical research, and data science.
Prema Lab
The Prema Lab led by Prof. Obayashi designs physically intelligent robots and methodologies enabling co-adaptation between technology and nature. We develop soft robots and large-scale automation to exploit fluids and complex environments. Our research integrates novel design, fluid analysis, and data-driven methods to achieve robust, efficient behaviors in the physical world.
Riviere Robot Lab
The Riviere Robot Lab (RRL) develops autonomous robotics research with theory, software, and experiments. Our methods are at the intersection of machine learning, discrete and continuous optimization, dynamical systems, and hardware systems.