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Multimodal Autonomous Smart Transportation Lab

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Xinqiang Chen (陈信强)

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Ph.D.
Associate Professor
Ph.D. Supervisor

Institute of Logistics Science and Engineering
Shanghai Maritime University
Shanghai, China

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Researchgate
chenxinqiang@stu.shmtu.edu.cn
(+86)02138284633

Biography(个人简介)

Present(2024):
Xinqiang Chen serves as Associate Professor and Ph.D. Supervisor at Institute of logistics science & engineering of Shanghai Maritime University, Shanghai, China. Besides, he is invited to be a reviewer for many top journals in transportation and computer vision field, such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Multimedia, etc. He has published over 70 papers in top journals and conferences, including around 60 SCI papers. His research field mainly focuses on advanced AI technique based smart ship, autonomous port management, computer vision, etc.

Education Background and Work:
He served as the research Associate at Department of Atmospheric and Oceanic Sciences of Fudan University from 2020 to 2022. He received his Ph.D. degree majoring at traffic information engineering and controlling from Shanghai Maritime University in 2018. Moreover, From September, 2015 to September, 2016, he was a visiting Ph.D. student in Smart Transportation Applications and Research Laboratory (STAR Lab), University of Washington, Seattle, WA, USA.

Selected Academic Service:
  • Associate Editor for Measurement and Control (SCI, JCR Q3)
  • Associate Editor for IET Intelligent Transport Systems (SCI, JCR Q3)
  • Associate Editor for International Journal of Advanced Robotic Systems (SCI, 2024-)
  • Associate Editor for Journal of Shipping and Ocean Engineering (2023-)
  • Editorial board Member for Journal of Marine Science and Engineering (SCI, 2024-)
  • Editorial board Member for Sustainability (SCI, 2024-)

    • Student Recruitment(招生)

    We enroll graduate students from the following majors:

  • 2024 graduate students majoring in Control Science & Engineering, Institute of Logistics Science and Engineering
  • 2024 graduate students majoring in Vehicle Operation Engineering and Traffic Information Engineering & Control, Merchant Marine College
  • 2024 Ph.D. students and postdoctoral students majoring in Traffic Safety and Environment, College of Ocean Science and Engineering

    • We have the following research directions:

  • Video Data-driven Intelligent Transportation Environment Perception and Understanding
  • Deep Learning-based Traffic Situation Awareness
  • Deep Reinforcement Learning-based Intelligent Navigation for IGV under Unmanned Port and Smart Shipping
  • Computer Vision-aided Autonoumous Driving and Traffic Safety
  • Large-scale Transportation Data Analysis (Traffic Flow Data, AIS, etc.)
  • Multimodal-based Connected Vehicle
  • Smart Ship/Autonomous Port
  • Maritime Traffic Management

    • Education Background & Work

  • 2018.07- Present(2024) Shanghai Maritime University
    Associate Professor and Ph.D. Supervisor, Institute of logistics science & engineering
  • 2020.05 - 2022.12 Fudan University
    Research Associate    , Department of Atmospheric and Oceanic Sciences
  • 2022.09 - 2023.07 Tongji University
    Visiting Scholar    , College of Traffic Information Engineering
  • 2013.09 - 2018.06 Shanghai Maritime University
    Ph.D.    , Merchant Marine College
  • 2015.09 - 2016.09 University of Washington
    Visting Ph.D.    , Department of Civil Environmetanl and Engineering
  • 2010.09 - 2012.07 Shanghai Maritime University
    Master    , Merchant Marine College
    • CV in Enghlish CV in Chinese
    Recruiting News:If you are interested in cooperating with me for master, doctoral or Ph.D. degree, please send me your detailed CV. Diligent and hard working students are preferred. My email address is chenxinqiang@stu.shmtu.edu.cn.