Data Science / AI / Robotics

Three disciplines come together to create the technologies that will define the future.

Our AI experts and roboticists are working in concert with our data scientists, who are discovering new ways to analyze, visualize, and use their skills for a common goal: to harness the collective power of data, machine learning techniques, and autonomous systems to address the issues facing the world.

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AI is everywhere. Can we make sure it's ethical?

AI powers so much of our world. It’s used by recruiters, police departments and businesses to help make their work more efficient. But with people’s lives on the line, can we trust that the algorithms behind AI are being created fairly? NYU Tandon researchers are helping to create an ecosystem where AI is critically analyzed to minimize the bias behind the code, and to ensure that these systems are used fairly and equitably whenever possible.

Data for Good

Related:
 
Is AI effective if it isn't equitable and responsible?
Students working on robots

Better robotics through better data

At NYU Tandon, researchers are using 5G to connect autonomous teams of robots to complete tough and dangerous jobs, mimicking complex animal behaviors in remotely controlled robots, and creating cheaper, more accessible robots so that anyone can learn to program the next advancement in robotics. The future is here, and it’s being developed by our engineers.

More on Robotics

Related:
 
5G wireless to connect robots on the ground to AI in the cloud
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S. Farokh Atashzar

Assistant Professor S. Farokh Atashzar leads Tandon’s Medical Robotics and Interactive Intelligent Technologies (MERIIT) Laboratory, whose mission is to develop and implement artificial intelligence, advanced control systems, signal processing algorithms, smart wearable mechatronic modules, and transparent human-robot interaction systems to augment human capabilities--with a particular focus on interactive Neuro-Rehabilitation Robotic and Surgical Robotic systems.

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Chen Feng

Assistant Professor Chen Feng leads a multidisciplinary research group named AI4CE (pronounced as A-I-force), which stands for Automation and Intelligence for Civil Engineering. Aiming to develop technologies for autonomous driving, assisted living, and construction robotics, among other sectors of importance in urban settings, he studies computer vision (because working robots need to “see” in order to navigate obstacles, manipulate tools and materials) and machine learning (because they need to be smart in order to help humans). 

screenshot of responsible AI video

Responsible AI and Why it Matters

AI is becoming more and more prevalent in businesses, public services, and other parts of our lives. But when the algorithms behind AI are written with the same prejudices that marr our current society, it has the potential to deepen inequality, not overcome it. In this webinar, members of The Center for Responsible AI walk us through their perspectives on the use of AI and automation, and their recommendations to make sure responsible AI will be the only kind of AI used in the future in this seminar.

 

 

Research Labs and Groups

two drones flying in sync

Agile Robotics and Perception Lab

ARPL performs fundamental and applied research in robot autonomy. The lab develops agile autonomous drones that can navigate on their own using only onboard sensors without relying on maps, GPS or motion capture systems.

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AI4CE Lab

The AI4CE Lab works to advance fundamental automation and intelligence technologies, to enable their use in civil and mechanical engineering applications.

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Algorithms and Foundations Group

The Algorithms and Foundations Group at NYU's Tandon School of Engineering is composed of researchers interested in applying mathematical and theoretical tools to a variety of disciplines in computer science. We study problems in machine learning, geometry, computational biology, computational mathematics, and beyond.

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Two complex, agile robots compared to the dynamics of a human walking

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. Our current research topics include energetics of dynamic systems, legged balance and gait stability, and integration of dynamics/control with numerical optimization.

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Center for Responsible AI

The Center for Responsible AI at NYU Tandon is creating new ways of keeping AI unbiased, and training the next generation of experts to design technology that’s powerful and effective, but also equitable and fair.

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Center for Urban Science and Progress (CUSP)

The Center for Urban Science and Progress (CUSP) is an interdisciplinary research center dedicated to the application of science, technology, engineering, and mathematics in the service of urban communities across the globe. Using New York City as our laboratory and classroom, we strive to develop novel data- and technology-driven solutions for complex urban problems.

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Chunara Lab

Chunara Lab

The overarching goal of our research is to develop the principles needed to incorporate unstructured, Internet and mobile data into a better understanding of population-level health. We primarily develop computational methods across data mining, natural language processing, and machine learning to generate features for spatio-temporal population-level public health models.

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Control and Network (CAN) Lab

The CAN Lab develops fundamental principles and tools for the stability analysis and control of nonlinear dynamical networks, with applications to information, mechanical, and biological systems.

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Control/Robotics Research Laboratory (CRRL)

CCRL conducts research projects on unmanned vehicles, autonomy and navigation, control systems, cyber-security, and machine learning.

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Cybersecurity for Democracy

Cybersecurity for Democracy is a research-based, nonpartisan, and independent effort to expose online threats to our social fabric — and recommend how to counter them. We are part of the Center for Cybersecurity at the NYU Tandon School of Engineering.

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DICE (Data, Intelligence, and Computation in Engineering) Lab

The Data, Intelligence and Computation in Engineering (DICE) Lab is led by Assistant Professor Chinmay Hegde and focuses on theoretical and applied aspects deep learning and machine learning.

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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. They perform research and development in the areas of robotics and mechatronics, experimental fluid mechanics, material characterization, animal behavior, and vibrations.

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Flow Lab

Hartman Research Lab

The Hartman Research Laboratory investigates the kinetics of chemical reactions and the design of the reactors in which they take place. Catalysis and reaction engineering is at the heart of virtually every process or system in which a chemical transformation occurs.

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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.

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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.

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Medical Robotics and Interactive Intelligent Technologies (MERIIT)

Led by S. Farokh Atashzar, the MERIIT Lab develops and implements artificial intelligence algorithms, smart wearable hardware, advanced control systems, and signal processing modules systems to augment human capabilities using multimodal robotic technologies.

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NYU Tandon Future Labs

The NYU Tandon Future Labs are the first public-private partnership with New York City tasked with creating a sustainable incubation program focused on increasing the success rate of new ventures and generating positive economic impact.

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Sounds of New York City (SONYC)

SONYC researchers have launched a citizen science initiative to train artificial intelligence (AI) technology to understand exactly which sounds are contributing to unhealthy levels of noise in New York City. A first-of-its-kind project addressing urban noise pollution, SONYC is based at NYU Tandon’s Center for Urban Science and Progress (CUSP).

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Visualization and Data Analytics ViDA Center

The Visualization and Data Analytics Research Center at NYU 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.

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