Roger Wang

About

Ruo-Qian (Roger) Wang is an Associate Professor at Rutgers University, affiliated with both the Department of Civil and Environmental Engineering and the Department of Electrical and Computer Engineering. He earned his PhD from the Massachusetts Institute of Technology in 2014, following an MSc from the Singapore Stanford Partnership in 2008 and a BEng from Beihang University in 2007. Professor Wang leads the WHIRLab (Wang Research Lab) at Rutgers, where he supervises a diverse group of graduate and undergraduate students engaged in research projects related to environmental engineering and computational modeling. His research interests include environmental impacts of hydrokinetic power, large eddy simulation of boundary layer dynamics for ice-water interfaces, infrastructure aging under climate change, and modeling of greenhouse gas emissions from ice-covered lakes. Professor Wang's interdisciplinary expertise bridges civil, environmental, and electrical engineering, contributing to advancements in understanding and mitigating environmental challenges through innovative engineering solutions.

Research topics

• Computer Science
• Engineering
• Electrical engineering
• Psychology
• Psychotherapist
• Psychiatry
• Clinical psychology
• Electronic engineering
• Social psychology
• Mechanical engineering

Selected publications

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

  Applied Energy · 2020 · 62 citations

  DOI

• Understanding the removal of precise geotagging in tweets

  Nature Human Behaviour · 2020 · 57 citations

  Senior authorCorresponding
  DOI

• Toward Adaptive and Coordinated Transportation Systems: A Multi-Personality Multi-Agent Meta-Reinforcement Learning Framework

  IEEE Transactions on Intelligent Transportation Systems · 2025-04-22 · 31 citations

  article

  Advancements in Intelligent Transportation Systems (ITS) have led to innovative solutions for planning optimization, efficiency enhancement, and resource allocation in transportation networks, which are demonstrated in applications such as smart parking lot management and electric vehicle (EV) charging station allocation, where improved decision-making and system-wide optimization have been achieved. However, as these systems evolve, the demand for better adaptability and coordination continues…

  PublisherDOI

• Escalating tropical cyclone precipitation extremes and landslide hazards in South China under global warming

  npj Climate and Atmospheric Science · 2024-05-21 · 29 citations

  articleOpen access

  Abstract Tropical cyclones (TCs) are expected to produce more intense precipitation under global warming. However, substantial uncertainties exist in the projection of coarse-resolution global climate models. Here, we use deep learning to aid targeted cloud-resolving simulations of extreme TCs. Contrary to the Clausius-Clapeyron (CC) scaling, which indicates a 7% moisture increase per K warming, our simulations reveal more complex responses of TC rainfall. TCs will not intensify via strengthened…

  PublisherOA PDFDOI

• Multi-Behavior Multi-Agent Reinforcement Learning for Informed Search via Offline Training

  2024-04-29 · 10 citations

  article

  In modern informed search missions, Multi-Robot Systems (MRSs) are playing more and more important roles due to their flexibility in exploring environments. Reinforcement learning (RL) is now widely used as a decision-making method for MRS. However, existing RL-based and conventional model-based frameworks cannot deal with some challenges posed by the realworld environment. To address these challenges, a Multi-Behavior Multi-Agent Reinforcement Learning (MBMARL) framework via offline reinforceme…

  PublisherDOI

Frequent coauthors

• E. Eric Adams

  Massachusetts Institute of Technology

  37 shared

• Henry G. Artman

  National Institute of Diabetes and Digestive and Kidney Diseases

  36 shared

• R. John Looney

  University of Rochester

  36 shared

• Mary Gail Mercurio

  36 shared

• Adrian Wing‐Keung Law

  33 shared

• Oliver B. Fringer

  Stanford University

  28 shared

• Anthony Rosario

  27 shared

• Herbert Levine

  Northeastern University

  24 shared

Labs

• WHIRLabPI

  Ruo-Qian Wang's research lab at Rutgers University

Education

• PhD, Civil and Environmental Engineering

  Massachusetts Institute of Technology

  2014

• M.Sc., Civil and Environmental Engineering

  Nanyang Technological University

  2008

• BEng, Aeronautics Science and Engineering

  Beihang University

  2007

Similar researchers at Rutgers University

• Yalin Lih-59
• Weilin Huangh-56
• Efthymios Nikolopoulosh-44