Computational Approaches to Modeling Language Lab
CAMeL's mission is research and education in artificial intelligence, specifically focusing on natural language processing, computational linguistics, and data science.
Research
NYUAD PhD Students in computer science conduct their research in a lab that connected to either the Science Division or the Engineering Division.
Science Division Labs
Cyber Security and Privacy Lab
Investigates the security and privacy of existing and emerging systems and networks that enable people.
Social Machines and RoboTics Lab
Focuses on building socially and emotionally intelligent machines and robots that are capable of interacting and communicating in a natural way with humans, expressing through their figure a high degree of social intelligence.
Communication Networks Lab
Focuses on bridging the digital divide between the developed and developing regions.
AI and Society
Investigates the interplay between technology, human behavior, and social systems.
Modern Compilers Lab
Our lab explores the intersection between three areas: compilers, machine learning (ML), and high-performance computing.
Computational Geometry Lab
Our goal is to make progress in basic algorithmic problems in geometry.
Software Analysis and Developer Support Lab
To enhance how software engineers develop and maintain software systems by providing them with the tools and insights that they need.
Engineering Division Labs
Applied Interactive Multimedia Laboratory
Working with diverse facets of interactive multimedia and immersive multimodal systems.
Embodied AI and Robotics Lab (AIR)
Focuses on advancing Embodied AI by developing multimodal foundation models and language-augmented AI systems that enhance robotic perception, interaction, and reasoning.
Integrated BioElectronics Laboratory
Advancing the engineering and applications of silicon integrated technology interfacing with biology in a variety of forms ranging from implantable biomedical devices to unobtrusive wearable sensors.
Clinical Artificial Intelligence Lab
A hub for state-of-the-art machine learning research that tackles real-world clinical problems.
Design For Excellence Lab
Focus is on the reliability and security of electronic chips. With the increasing complexity of designs, enhanced capabilities of engraving smaller transistors on silicon, and low-power, high-performance operation requirements, integrated circuits are becoming more and more vulnerable to reliability and security threats.
Laboratory for Computer-Human Intelligence
Develops computational systems that augment human decision-making.
Photonics Research Lab
In collaboration with the Smart Materials Lab at NYUAD
Haven Lab
Works at the intersection of internet measurements, systems building, and applied machine learning.
Modern Microprocessor Architectures Lab
Focuses on the security and privacy of modern high-performance and embedded microprocessors.
NetBio Group
Focuses on the rational design of complex genetic circuits by combining wetlab experiments with modeling.
eBRAIN Lab
Advanced machine learning (ML) technologies, security aspects, and their embedded implementation in real-world applications
Research Highlights
Exciting research is happening at NYU Abu Dhabi.
Lost in Machine Translation
Nizar Habash explains why computers are not good at translating Arabic dialects.
War on Hackers
Christina Pöpper, assistant professor of computer science says
these hackers are after everything from bank accounts to airplane GPS.
Contact Us
For more information about our programs, please contact nyuad.graduateadmissions@nyu.edu.