Labs and Groups

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

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.

Levicky Group — The Bio-interfacial Engineering and Diagnostics Group’s research focuses on quantitative characterization of biomolecular interactions, with technological connections to diagnostics for medical and fundamental biology applications. The group seeks to dissect the fundamental equilibrium and kinetic aspects of biomolecular reactions at surfaces and in solution, elucidate the role played by the molecular organization, and apply this understanding to advance bioanalytical technologies.

The laboratory of Professor Jef Boeke is well known for foundational work on mechanistic and genomic aspects of retro-transposition in both yeast and mammalian systems. After more than three decades, they continue to scrutinize their favorite genomic parasites. In addition, the Boeke lab is heavily involved in the development of novel technologies in genetics, genomics and synthetic biology.

David Truong’s lab uses principles from synthetic and systems biology, cell fate reprogramming, epigenetics, and immunology. He and his team perform large-scale genome engineering in human and mouse stem cells towards cell therapies and regenerative medicine. The group currently focuses on developing programmable off-the-shelf dendritic cells from human iPSCs as a cancer immunotherapy platform. They are also building universal “personalized” iPSCs as an off-the-shelf cell for making living therapies.

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.

Professor Rose Faghih group develops biomedical signal processing and control algorithms for human-technology interactions and monitoring. These state-of-the-art tools are employed for prognosis, diagnosis, and treatment of pathological conditions related to neuro-endocrine and neuro-psychiatric disorders.

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.

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

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.

Natural catastrophes are steadily increasing in severity and frequency as cities become larger, denser, and more interconnected. The Disaster Risk Analysis Lab's goal is to extend the limits of what is feasible with catastrophe modeling and collaborate synergistically with researchers within and outside civil engineering to leverage new technologies to increase post-disaster power accessibility, provide more effective disaster emergency response, and reduce risk trajectories in our cities.

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.

Our research is concentrated on developing complete solutions for data center networks, software-defined networks, high-speed switching and routing, network security and traffic measurement problems.

Todd Hudson is a computational neuroscientist whose research focuses on modeling sensory and motor systems, particularly eye and arm movements in healthy and disease states. He received his training at the Clarence Graham Memorial Laboratory of Visual Science at Columbia University, and co-founded Tactile Navigation Tools, LLC, a company that develops navigation aids for the visually impaired.

The Immersive Computing Lab at NYU Tandon School of Engineering conducts cutting edge research that spans the fields of computer graphics, physics, and computational cognition, with the goal of creating unprecedented virtual and augmented reality systems to revolutionize urban life. Our research directions include novel multimodal/low-latency/immersive interaction devices, bio-physically inspired wearable displays, perception-aware VR/AR, and beyond.

Professor Sohmyung Ha’s lab aims at advancing the engineering and applications of silicon integrated technology interfacing with biology. This is approached in a variety of forms, ranging from implantable biomedical devices to unobtrusive wearable sensors.

Professor Khalil Ramadi and his team develop innovative approaches for the modulation of neural activity throughout the body. The goal is to come up with novel therapies for neurologic, metabolic, and immune disorders. They combine mechanical, electrical, materials, and bio-engineering toolkits in the design of minimally invasive technologies.

Our goal is to develop new control and game-theoretic tools for designing agile and resilient control for smart energy systems, communication networks, secure cyber-physical systems, and human-in-the-loop systems.

Professor Ruggles’ laboratory focuses on understanding human health and biology using data science, data visualization, and predictive modeling. A primary goal of this research is to analyze and integrate diverse data modalities, including bulk and single-cell sequencing, phospho- and global- proteomics, metagenomics, flow cytometry, imaging, and clinical data. These multi-omic methods are used to better understand cancer, heart diseases, and other disorders.

Prof. David Fenyö’s uses proteomic approaches to develop methods to identify, characterize, and quantify proteins important for various cellular processes. His efforts to integrate data from multiple technologies - including mass spectrometry, sequencing, and microscopy - have provided a wide array of powerful tools to discover and verify biomarkers and therapeutic targets in cancer.

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.

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.

mLab is broadly interested in real-world security and privacy threats in healthcare and consumer technologies. Led by, Assistant Professor Danny Yuxing Huang, mLab builds systems to measure these threats at scale.

NYU’s Mobile Augmented Reality Lab is devoted to pioneering the field of mobile augmented reality with emerging AR technologies.

Our lab designs, develops, and applies nanoscale and bioengineering tools to understand and manipulate cell fate and function. Our ultimate goal is to help the body regenerate better.

Home to world-class micro- and nanofabrication and metrology tools, which meet or exceed the demands of academic and industry users alike. With over ~ 2000 sq. ft. of Class 1000 space, the Cleanroom is appropriately equipped to meet the present and future demands for device fabrication.

The team of Professor Shy Shoham works at the interface of neuroscience and engineering, developing and applying modern bidirectional neural interfaces for observing and controlling neural population activity patterns. Their goal is to better understand sensory-motor information coding and to advance medical neurotechnology.

Kevin Chan and his group are developing and applying new methods for noninvasive imaging of neurodegeneration, neurodevelopment, neuroplasticity, and neuroregeneration in people with vision-related diseases and injuries. They study the structural, metabolic, physiological, and functional relationships between the eyes, brain, and behavior with the mission to improve vision.

Research activities in Professor Yao Wang’s group deal with encoding and distributing videos among a large number of users. Of special interest are diverse network access links and applications to biomedical imaging. The lab collaborates extensively with other research groups in wireless communication and networking at the School of Engineering and NYU’s medical school and hospitals.

The human experience of pain is incredibly complex. Understanding how pain affects patients, and how best to manage it, is Prof. Jing Wang’s goal. His research interest is centered on the role of brain circuits in the regulation of acute and chronic pain. Of particular interest are the cortical mechanisms of pain processing and regulation.

Every day, our brains cycle through different states of awareness: from the rich conscious experiences during wakefulness to dreamless sleep to the bizarre experiences during dreaming sleep. Understanding the neural basis of conscious awareness is the basic goal of Prof. Biyu He’s team. She is using a combination functional magnetic resonance imaging (fMRI), magneto- encephalography (MEG) and invasive electrophysiology to explore relevant neural mechanisms and characterize various neuropsychiatric illnesses.

We study the physics of soft mesoscopic materials, sometimes known as complex fluids. We investigate colloids, emulsions, polymers, surfactant solutions, non-Brownian suspensions, gels...

Focuses on developing responsive soft materials for biomedical applications. The group uses tools from chemical and materials engineering, nanotechnology, chemistry and biology to create functional soft materials via scalable synthetic processes and to understand the material behavior in biological systems.

The Resiliency Resource Center (R2C) is a clearinghouse of NYU generated research to improve the resilience of the regional built environment as well as our organizational resilience capacity.

Advances in miniaturized sensors and actuators, as well as artificial intelligence (AI), have broadened horizons for assistive and rehabilitative technologies. The team of Professor JohnRoss Rizzo, MD, is leveraging these innovations to help patients with conditions such as blindness and stroke, enhancing their ability to interact physically with their environment.

Professor Chakravarti’s research group tries to understand how the extracellular matrix (ECM) regulates cellular functions and tissue homeostasis. In their work they use cell cultures and mouse models to gain a better understanding of the role of neutrophil, macrophage and dendritic cell functions in bacterial and viral infections. In addition, they explore the ECM changes and the underlying genetic causes in corneal diseases.

The Silverman Laboratory conducts research to understand and design sustainable and appropriate wastewater treatment process, in an effort to protect public health and environmental quality. Our research is focused on water quality, wastewater treatment, detection and control of waterborne pathogens, design of natural wastewater treatment systems (e.g., treatment ponds and constructed wetlands), and the safe reuse of human waste.

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).

How is language produced and perceived in the human brain? What are the network dynamics that allow us to fluently communicate? These questions are still poorly understood and collaborations between scientists, clinicians, and engineers are crucial for making progress in this fascinating field. Adeen Flinker and his team are using unique human neurosurgical recordings and advanced data processing algorithms to elucidate these questions.

Our group focuses on the development of novel materials and devices for energy conversion and storage. True to our name, we design and study transformative technologies that have the ability to change the status quo and promote the adoption of sustainable energy generation and use.

In a climate-changed world, flooding is expected to have an outsized influence on public health and infrastructure in urban areas. We are looking to develop a publicly- accessible platform that provides real-time flood information and to investigate changes to the microbiome.

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. 

ViDA 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 demands.