Labs and Groups

The AOIL consists of a team of ophthalmologists, engineers, software specialists, statisticians, and trainees that focus primarily on the study of glaucoma, a leading cause of blindness in the world. The groups of Profs. Schuman, Wollstein and Ishikawa develop advanced imaging tools to detect this disease, monitor its progression, and investigate its pathogenesis.

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.

The ADO Lab studies the modeling, design, and control of engineered and biological systems. The Lab considers systems comprising both robotic and biomechanical components, such as wearable robots.

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.

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.

The Building Informatics and Visualization Lab (biLAB) is part of the Department of Civil and Urban Engineering at the NYU School of Engineering. It focuses on understanding the operational challenges associated with construction and operation of facilities and infrastructure systems in urban settings.

Professor Dan Sodickson’s research primarily addressed the development of new techniques for biomedical imaging to improve human health. He leads a multidisciplinary team that develops new methods for rapid continuous imaging, taking advantage of recent developments in parallel imaging, compressed sensing, and artificial intelligence. This work extends to clinical applications of MRI, PET and CT.

CATT promotes industry-university collaborative research and development in these areas: wireless and personal communications networks and devices, secure information technologies, and media and network applications/services.

Professor Andreas Hielscher’s team focuses on developing clinically relevant optical tomographic imaging systems. They apply these devices and wearable electronics to the diagnosis and treatment of various diseases, such as breast cancer, arthritis, peripheral artery disease, diabetic foot syndrome, and real-time monitoring of brain activities.

The Communication and Information Theory (CommIT) Group at New York University is led by Professor Elza Erkip. They are interested in the theoretical foundations of networks, including wireless and social networks.

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.

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.

The Game Innovation Lab brings together faculty and students from the School of Engineering and the greater NYU community doing research focused on games as an innovation challenge. The Lab's emphasis is on the technical / engineering / science side of games and simulations. Sample projects include user interface innovation (sensor-based tracking, multi-touch), network and video quality research, and research on games for learning.

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.

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.

INTERCEP is the first academic center dedicated to organizational resilience and agility. The center maintains a global outreach with a special focus on multi-party collaboration including business-to-business and public-private partnerships. Acknowledging that "risk and reward" are at the core of all undertakings in both the public and private sectors, the Center focuses on the development of strategies to most effectively address uncertainty so as to achieve targeted objectives — in essence addressing "risks" to achieve "rewards".

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 Alesha Castillo and her team study the interactions between mechanobiological cues and musculoskeletal systems with the long-term goal of developing novel biophysical, pharmaceutical, and stem cell-based interventions to improve musculoskeletal health

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.

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.

We are involved in inventing cutting-edge photonic techniques for detecting individual virus particles. We recently detected single Influenza A virus in-vitro and is pushing its patented Whispering Gallery Mode Biosensor to higher sensitivity in order to detect single HIV virions.

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.

Our research lies at the interface of multifunctional material development and electrochemical engineering. Electrochemical devices are ubiquitous to a broad range of energy conversion technologies and chemical processes.

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.

Our research team studies the physics of electronic materials and their application in building devices and circuits. We are an experimental group with experience in the synthesis of layered materials, nanofabrication of electronic devices, and electrical measurements at both room and cryogenic temperatures.

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.

Professor Smita Rao and her colleagues in the Center of Health and Rehabilitation Research study the effects of exercise in individuals with diabetes, neuropathy, osteoarthritis, and other musculoskeletal conditions. Her research focuses on improving physical therapy and rehabilitation care in these patients.

Riedo Group ­­— Understanding and manipulating solids and liquids at the nanoscale is a matter of continuously growing scientific and technological interest. Complex nanoscale interfaces and materials with reduced dimensionality not only present beautiful and sometimes unexpected new science but they are also relevant for applications in micro/nano-electro-mechanical systems, photonics, micro/nano-fluidics, biology, and nanoelectronics. Our mission is to develop novel scanning probe microscopy-based methods for fabricating the next generation of electronic and biomedical devices, as well as for ground breaking studies of the mechanical, physical, and chemical properties of novel nanomaterials, including 2D materials and bio-interfaces. Our lab is highly diverse and interdisciplinary with people and collaborations in chemical engineering, physics, chemistry, mechanical engineering and biomedical engineering.

Unique in New York City, the Department of Electrical and Computer Engineering offers a complete program in electrical power systems. Research areas include: Power Generation, Transmission and Distribution, Electric Machines, Electric Drives, Power Electronics, Electromagnetic Propulsion and Design, Distributed Generation, and Smart Grid.

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.

In the laboratory of Professor Ivan Selesnick, PhD, researchers are interested in digital signal processing, sparsity in signal processing, and multi-dimensional wavelet-based signal/image/video processing. They develop new methods for signal filtering, separation, and deconvolution, especially in the area of biomedical imaging.

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 work that Professor Samir Taneja and his colleagues are conducting at NYU Langone’s SCPCC and Perlmutter Cancer Center has transformed the field of prostate cancer diagnosis and therapy. Their clinical research focuses on the use of MRI to improve methods of prostate imaging, cancer detection, disease localization, and treatment.

Pinkerton Group — 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.

Our mission is to model and design intelligent and autonomous systems. Initially developed in the context of electric circuits, recent applications have focused on complex, dynamic and networked systems, such as unmanned vehicles and power system networks.

The Apell Research Group specializes in understanding the environmental fate of manmade organic pollutants in order to protect ecosystems and human health. They focus on determining the mechanisms that control: the transport of these pollutants in and between environmental compartments (water, soil, & air) as well as their uptake into biological organisms, and the abiotic degradation of these pollutants.

We are focused on creating new data-driven methodologies to observe, model, and analyze the urban environment. Our work is grounded in solving real-world problems and providing decision-makers with a comprehensive understanding of the relationships between physical infrastructure systems, natural systems, and human systems.

It combines a series of new concepts, technologies and services to integrate information, vehicles and transportation infrastructure to increase mobility, safety and comfort, and reduce energy waste and pollution.