Data Science / AI / Robotics

The collaboration between these fields is generating world-changing technologies.

We’re making enormous inroads in the growing fields of AI and robotics, creating drones controlled with a simple gaze, making it easier for surgeons to perform delicate operations, developing algorithms that make financial investing more secure, and other such improvements.


robotic head and numbers


Our AI experts and roboticists are working in concert with our data scientists, who are discovering new ways to analyze, visualize, and use the 2.5 quintillion bytes of data the world generates each and every day in the form of GPS signals, shopping transactions, taxi rides, social media posts, online videos, and digital photos, among other sources. It’s a collaborative ecosystem with a single goal: to harness the collective power of data, machine learning techniques, and autonomous systems to address the issues facing the world.    More on Robotics

Academic Programs

girl working at laptop

Computer Science, B.S.

Computer science focuses on designing, building, and using the computers and systems that we interact with every day — from iPhones to the complex databases in banks and hospitals.
On Campus

electrical plans abstract

Electrical and Computer Engineering, B.S.

Electrical Engineering and Computer Engineering are both extremely pertinent in today's high technology and global world, and this program gives students opportunities to garner knowledge from both disciplines.
On Campus

STS

Science and Technology Studies, B.S.

Science and Technology Studies (STS) explores the human dimensions of science, technology and engineering (New applicants are no longer being accepted to this program).
On Campus

Mechanical Engineering Gears

Mechanical Engineering, B.S.

Mechanical engineering builds the physical systems and devices that define modern society — everything from air conditioning to automobiles, robots to power plants, artificial limbs to escalators.
On Campus

Bioinformatics

Bioinformatics, M.S.

A 30 credit, 10 course fully online master’s degree. Explore how our curriculum will provide you the background needed in Translational or Laboratory Sciences.
Online

Abstract image of human muscular system

Biomedical Engineering, M.S.

Biomedical engineering, a multi-disciplinary field, is behind some of the most important medical breakthroughs today, and has significantly contributed to improved health care and quality of life.
On Campus

Motherboard Chip

Computer Engineering, M.S.

Computer engineering makes it possible for us to telecommute from home and check our e-mail on the go, and even reconstruct genomes and conceive software to make businesses more efficient.
On Campus

Financial Engineering

Financial Engineering, M.S.

With a dynamically changing global world, our program trains our financial engineers to adapt theoretical and financial constructs into profitable and innovative opportunities.
On Campus

Professor  Righetti working in robotics lab

Mechatronics and Robotics, M.S.

Students in this program learn fundamental theory, modeling methods, hardware components, interfacing requirements, simulation and programming tools, and practical applications of mechatronics and robotics.
On Campus

code on screen

Computer Science, Ph.D.

Ph.D. students in our Computer Science program can conduct groundbreaking research with the faculty of our interdisciplinary Center for Cyber Security.
On Campus

circuit board

Electrical Engineering, Ph.D.

The Ph.D. in Electrical Engineering program is filled with students and faculty who prize the School of Engineering's emphasis on invention, innovation, and entrepreneurship through top-flight laboratories and a fierce dedication to advanced research.
On Campus

close up of hands soldering part of computer chip

Mechanical Engineering, Ph.D.

Our Ph.D. in Mechanical Engineering program offers a balanced curriculum that emphasizes the principles behind designs and approaches, and we make computational and research experience an integral component of your studies.
On Campus

Research Labs and Groups

View Configuration
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.

AI4CE Lab

The AI4CE Lab works to advance fundamental automation and intelligence technologies, to ...




hardware chip

Brooklyn Application, Architecture, and Hardware Lab (BAAHL)

Led by Prof. Brandon Reagen, our research group specializes in computer hardware design, with a primary goal of making privacy-preserving computation practical. 

We also focus on optimizing machine learning systems for private computation. With a strong emphasis on energy-efficiency and security, our work aims to accelerate secure computation and enable privacy-preserving machine learning.



Chunara Lab

The overarching goal of our research is to develop the principles needed ...



student with finger raised in front of computer camera

Control and Network (CAN) Lab

The CAN Lab, led by Professor Zhong-Ping Jiang, develops fundamental principles and tools for the stability analysis and control of nonlinear dynamical networks, with applications to information, mechanical, and biological systems.

drone

Control/Robotics Research Laboratory (CRRL)

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


""

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.

2 students in the lab putting a harness on a mannequin

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. 

Hartman Research Lab

The Hartman Research Laboratory investigates the kinetics of chemical reactions and the ...



""

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.

Machines in Motion

We try to understand the fundamental principles for robot locomotion and manipulation ...



images and diagrams that show robotic interactions with the human body

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.

close up of microchip device

NanoBioX

The NanoBioX initiative at NYU stimulates fundamental research and technological innovation at the intersection of nanotechnology, biomedical research, and data science.





urban landscape with symbolic digital connections

Urban Complexity Lab (UCOMP)

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.

computer generated building and data points

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.