Yuxing Huang
Stochastic control, backward stochastic differential equations (BSDEs), mean field games, and the signature method. I am currently working on Principal Agent problem
Stochastic control, backward stochastic differential equations (BSDEs), mean field games, and the signature method. I am currently working on Principal Agent problem
My research focuses on applying advanced machine learning and deep learning techniques to problems in neuroscience.
My research focuses on Computer-Aided Design (CAD) for Hardware Security threats and using LLMs for Hardware Design.
I specialize in robotic indoor navigation, outdoor autonomous navigation, transportation mobility management, multi-agent systems, machine learning, and AI.
Quantum circuits and systems, Developing superconducting material and Josephson Junction devices for quantum sensing and quantum computing.
My main interests are integrated photonics chips, photonics sensors, and materials integration on photonics platforms.
Currently, my research focuses on building efficient systems for private neural inference, leveraging fully homomorphic encryption to enable secure and privacy-preserving computation.
Wireless communications, Raytracing, Statistical signal processing, AI/ML in Wireless, Information theory
My research focuses on developing trustworthy hardware at both the PCB and ASIC levels, with an emphasis on integrating emerging technologies such as FPGAs, additive manufacturing, and machine…
My research interest includes distributed optimization, data-driven control, and their applications on smart transportation.
I am interested in all aspects of security, privacy, safety, and it’s intersection with ML.
My research focuses on the experimental evaluation of transport and network layer protocols, low-latency networking, Internet measurement, and wireless communication.
I am currently interested in task-oriented and multiterminal source coding, with a particular focus on deriving information-theoretic bounds for one-shot compression problems.
Safe control synthesis and applications; Learning-based control methods; Verification of neural networks.
Mean field control and mean field games, numerical methods, partial differential equations, stochastic analysis and machine learning
My research mainly involves designing superconducting circuits and analyzing quantum materials.
Neural (data) compression, quantization, information theory (esp. rate-distortion theory), deep/machine learning, and signal processing.
Embedded systems security, control systems security, hardware security, machine learning in cybersecurity.
My research focuses on using self-supervised representations of large scale neuroimaging data to gain a better understanding of how the brain works, both in a cognitive context and a clinical context.
Wireless Communications, Machine Learning, Communication Networks, and Hardware Design for Communication Systems
My research focuses on hardware/software co-design, efficient machine learning, and AR/VR.
My research focuses on developing secure computer hardware acceleration techniques for varied networking and communication applications.
My research focuses on exploring the integration of model predictive control and reinforcement learning for aerial transportation systems.
Distributed methods for training deep learning models, parameter-efficient continual learning methods.
I work on protecting logic-locking implementations against threats like side-channel and fault attacks.
My research focuses on leveraging deep learning and machine learning across different domains, including enhancing speech analysis, decoding visual data, and analyzing neural signal patterns.
Design of adaptive stabilizers for haptics-enabled robotic teleoperation in the presence of time delays. Robot learning from human demonstration and deep reinforcement learning.
My research focuses on communication theory, with a specific interest in the physical layer of wireless communication systems operating in both radio and optical frequency bands
Sustainable and Resilient Urban Infrastructure, Transportation Planning, Public Transit, Artificial Intelligence and Decision Modeling, Causality, Remote Sensing
Artificial Intelligence in Healthcare, Foundation Models, Multimodal Machine Learning
ACADEMICS | DEPARTMENTS | CIVIL URBAN AND ENVIRONMENTAL | RESEARCH
ACADEMICS | DEPARTMENTS | CIVIL URBAN AND ENVIRONMENTAL | RESEARCH | TRANSPORTATION
ACADEMICS | DEPARTMENTS | CIVIL URBAN AND ENVIRONMENTAL | RESEARCH | GEOTECHNICAL RESEARCH
ACADEMICS | DEPARTMENTS | CIVIL URBAN AND ENVIRONMENTAL | RESEARCH | ENVIRONMENTAL
The Urban Systems program brings together expertise and research excellence of NYU faculty in New York and across NYU's global campuses.
ACADEMICS | DEPARTMENTS | CIVIL URBAN AND ENVIRONMENTAL | RESEARCH | URBAN
Research Focuses on One of the Biggest Threats to Global Health Today: Antibiotic Resistance.
Mathematical Equations Will Deliver Energy-Efficient Exoskeletons to Give People with Disabilities a Natural Gait.
Humanoid Robot Named DARwIn Will Inform Applications from Prosthetic Limbs to Sporting Equipment Design.
Social Computing, Public Interest Technology, Urban Information Science, Critical Data Studies
Virtual Reality, Urban Simulation Modeling, Mobile Wearable Sensors, Human-Computer Interaction
My research interests are in structures, mechanics and materials, including reliability analysis and design optimization, resilient and sustainable infrastructures, crash and impact analysis, and…