ABOUT ME

I am an incoming PhD student at the Department of Geography of the National University of Singapore (NUS), where I will be conducting research on GeoAI and Urban Science.

I obtained my Master of Science degree in Transportation Engineering from the Urban Mobility Institute of the College of Transportation Engineering at Tongji University. My research focus on the field of high-definition maps, focusing on HD map modeling, dynamic information organization and management, and information interaction. [Sep,2021-Sep,2024]

Before my journey at TJU, I laid my academic foundations at the College of Engineering of Nanjing Agriculture University, where I obtained my Bachelor’s degree of Engineering in Transportation. During my years there, I had the privilege of exploring the Route Planning Problems using deeplearning algorithms, which contributed to my bachelor’s thesis and earned a nomination for Best Thesis. [Sep,2017-Jul,2021]

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Interests
  • High-Definition Map
  • Smart City
  • Artificial Intelligence
  • Human Mobility
Education
  • MSc of Urban Mobility, 2024

    Tongji University

  • BSc in Transportation, 2021

    Nanjing Agriculture University

๐Ÿ“š My Research

My research enthusiasm lies in applying AI to grounded tasks. My primary goal is to develop methods for efficiently extracting key information from crowdsourced big data to serve urban science. To achieve this goal, I identified three main challenges:

๐Ÿง— Challenge 1 Multi-element Extraction

How can valuable information be effectively extracted from crowdsourced SVI to enhance the detection and classification of road features for autonomous vehicles.

๐Ÿง— Challenge 2 Multi-element Integration

What machine learning models and data fusion techniques can be developed to integrate diverse data sources, such as SVI and vehicle sensor data, for real-time updates.

๐Ÿง—Challenge 3 Multi-element Management

How can the proposed methods for accuracy, reliability, and scalability in various driving environments.

Please reach out to collaborate and make the future city more intelligent, sustainable and eco-friendly ๐Ÿ’ช๐Ÿป๐Ÿ’ช๐Ÿฝ๐Ÿ’ช๐Ÿฟ๐Ÿ’ช๐Ÿฆพ

Featured Publications
Recent Publications
(2024). An Approach for High Definition Map Information Interaction for Autonomous Driving. Geomatics and Information Science of Wuhan University, 49(4).
(2024). Dynamic Data Interaction Patterns and Contents of High Definition Maps for Autonomous Driving. Chinese Society for Geodesy Photogrammetry and Cartography.
(2023). An Approach of High Definition Map Information Interaction. In ISPRS Geospatial Week 2023.
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