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Ming L. Wang

Ming L. Wang

Northeastern University · Environmental Engineering

Active 1986–2026

h-index53
Citations17.4k
Papers416100 last 5y
Funding$198k

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Ming L. Wang is a distinguished professor at Northeastern University College of Engineering, specializing in civil and environmental engineering. His research focuses on network-wide pavement and bridge deck inspections utilizing sensor technology for infrastructure, saliva-based sensor technology for disease diagnosis and monitoring, structural health monitoring for bridges, and subsurface fault detection using air-coupled GPR systems. He has contributed significantly to the development of innovative sensor systems, including a saliva-based nano-bio sensing system for disease diagnosis and monitoring, and has been recognized with multiple awards and patents for his work in biosensors and sensor technologies. Dr. Wang holds a Ph.D. in Structural Dynamics and Random Vibration from the University of New Mexico and an M.S. in Civil Engineering from South Dakota School of Mines and Technology. His professional affiliations include the American Institute of Aeronautics and Astronautics, American Society of Civil Engineers, and the International Society for Optics and Photonics, among others. He has been honored with awards such as the 2025 Faculty Research Team Award, Fellow of the International Society for Optics and Photonics, and the Outstanding Translational Research Award from Northeastern University College of Engineering. His contributions extend to editing volumes on sensor technologies for civil infrastructures and securing patents for enzyme-based biosensors and…

Research topics

  • Materials science
  • Nanotechnology
  • Composite material
  • Polymer chemistry
  • Chemical engineering
  • Cardiology
  • Medicine
  • Internal medicine

Selected publications

  • QoE-aware edge server placement in mobile edge computing using an enhanced genetic algorithm

    International Journal of Intelligent Networks · 2025-01-01

    articleOpen access

    Mobile Edge Computing (MEC) enhances service quality by decentralizing computational resources to network edges, thereby reducing latency and improving Quality of Service (QoS). However, the spatial distribution of edge servers critically impacts network transmission efficiency, while heterogeneous user perceptions of QoS metrics frequently lead to suboptimal Quality of Experience (QoE). Current research on Edge Server Placement (ESP) predominantly focuses on localized optimization of QoS metric…

Recent grants

Frequent coauthors

  • Jinliang Zhang

    Henan University of Science and Technology

    46 shared
  • George M. Lloyd

    ACTA (United States)

    37 shared
  • Keli Han

    Shandong University

    35 shared
  • Caizhen Zhu

    Shenzhen University

    30 shared
  • Xiangzheng Li

    Tianjin University

    29 shared
  • Guo‐Zhong He

    Kunming Medical University

    25 shared
  • Jianhong Liu

    Shenzhen University

    22 shared
  • Jian Xu

    17 shared

Education

  • postdoc, Chemistry

    University of Missouri-St. Louis

    2006
  • postdoc, Chemistry

    Duke University

    2005
  • Ph.D, Chemistry

    New York University

    2003

Awards & honors

  • 2025 Faculty Research Team Award – iSUPER Impact Engine
  • 2015 Fellow of the International Society for Optics and Phot…
  • Søren Buus Outstanding Research Award, Northeastern Universi…
  • Outstanding Translational Research Award, Northeastern Unive…
  • 2011 "Students Speak" Teaching Award

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