Dr Yuandong Pan

Research Interests

Dr Yuandong Pan is a distinguished researcher specializing in developing geometric digital twins from diverse sources, such as point clouds and images. His primary focus is on devising automated methods to create digital twins for various facilities, thereby minimizing manual intervention.

Strategic Themes

Creating virtual replicas of physical infrastructure, using advanced technologies like sensors, AI, and IoT. 

Decision making in Infrastructure Management Supported by Digital Twins.

Investigate the use of multi-modal data in creating digital twins.

Using advanced data processing techniques to analyse and evaluate the condition and performance of various physical infrastructure.

Research Project

Project Title: How can a Highway Digital Twin evolve over time

Theme: Digital Twins

Abstract: Dr Pan's research proposal focuses on data fusion and data structure design to address the dynamic nature of a Highway Digital Twin. This project involves processing vast amounts of sensor-generated data over time. By integrating object detection in both 2D images and 3D point clouds, Dr Pan aims to utilize their respective strengths and provide a comprehensive representation. The project will also incorporate thermal imagery and ground penetrating radar data to enrich the digital twins. A significant aspect of this research is designing a robust data structure to manage the large volumes of data efficiently. This structure will not only facilitate data storage, updates, and tracking but also enable effective querying. The project's cornerstone is the storage of geometric information, extracted from the 2D-3D fusion, as a fundamental element in this data structure, allowing for the integration and linkage of varied data types over time.

Biography

Dr Yuandong Pan currently holds the position of Marie Skłodowska-Curie Future Roads Fellow at the University of Cambridge. His research interests encompass the creation of geometric digital twins from multi-modal data sources, including point clouds, images, thermal images, and ground penetrating radar data. Dr Pan's expertise lies in developing automated methods for generating digital twins for different facilities, significantly reducing human labour. He earned his joint Ph.D. from the Technical University of Munich, Germany, where he specialized in creating information-rich digital twins of indoor environments. His research is primarily focused on automatic methods for constructing digital twins from point cloud data and images.