Ruo-Qian Wang

Assistant Professor

Rutgers University

United States

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Ruo-Qian Wang is an Assistant Professor at Rutgers The State University of New Jersey. His research interests encompass computational fluid dynamics, environmental monitoring, and data science applications, as reflected in his recent publications. Notable areas of his work include water infrastructure dynamics, coastal tidal analysis, and the application of surrogate modeling in offshore wind power estimation.

Articles (13)

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2023

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2023

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2022

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2022

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2022

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2022

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2021

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2021

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2020

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2020

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2020

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2020

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2020

Collaborators (5)

Alan Cuthbertson

Academic, Senior Lecturer (Teaching and Research)

University of Dundee

UNITED KINGDOM

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Carlo Gualtieri

Hab. Full Professor

University of Naples Federico II

ITALY

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Yingjie Hu

Assistant Professor

University at Buffalo

UNITED STATES

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Jie (Jay) Zhang

Assistant Professor

Kennesaw State University

UNITED STATES

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Rui Liu

Assistant Professor

Rochester Institute of Technology

UNITED STATES

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Ruo-Qian Wang

Research Interests

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Articles (13)

Best Practices for Computational Fluid Dynamic Applications in Water Infrastructure

Determining Undersampled Coastal Tidal Harmonics using Regularized Least Squares

Numerical Simulation of Scalar Mixing and Transport through a Fishing Net Panel

Semi-supervised identification and mapping of surface water extent using street-level monitoring videos

Understanding microbeads stacking in deformable Nano-Sieve for Efficient plasma separation and blood cell retrieval

A recommender system-inspired cloud data filling scheme for satellite-based coastal land use classification

A surrogate-model-based approach for estimating the first and second-order moments of offshore wind power

Flow Turbulence Characteristics and Mass Transport in the Near-Wake Region of an Aquaculture Cage Net Panel

Understanding the removal of precise geotagging in tweets

The origin, transport, and evolution of ash in engine particulate filters

Efficient dimension reduction and surrogate-based sensitivity analysis for expensive models with high-dimensional outputs

Experimental and theoretical study on the microparticle trapping and release in a deformable nano-sieve channel

Rapid Escherichia coli Trapping and Retrieval from Bodily Fluids via a Three-Dimensional Bead-Stacked Nanodevice

Collaborators (5)

Alan Cuthbertson

Carlo Gualtieri

Yingjie Hu

Jie (Jay) Zhang

Rui Liu

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