Project-25011 Spatiotemporal intelligent computing

Project Title    

Spatiotemporal intelligent computing

Daoye Zhu,  Associate Professor, Fuzhou University
zhudaoye@pku.edu.cn

Project Description    

This research is dedicated to developing an intelligent spatiotemporal grid framework that integrates multi-source heterogeneous geospatial data (e.g., remote sensing imagery, social network data, and sensor data) with artificial intelligence technologies. The project will establish a comprehensive technical system encompassing "data governance-intelligent computing-decision reasoning", with key breakthroughs in spatiotemporal big data management, geospatial AI computing, and dynamic simulation. The outcomes will provide innovative solutions for critical application scenarios such as smart cities, climate change, and emergency management.

Tasks and Responsibilities    

-Responsible for the collection, cleaning and standardization of multi-source spatiotemporal data.
-Research and develop distributed storage and efficient indexing technologies for spatiotemporal big data.
-Develop deep learning-based spatiotemporal prediction and simulation algorithms.
-Construct spatiotemporal knowledge graphs and intelligent reasoning engines.
-Design and implement visualization analysis and decision support systems.

Minimum Qualifications     

-GIS, Computer Science, Remote Sensing or related fields.
-Proficient in Python/Java programming, familiar with TensorFlow/PyTorch frameworks.
-Experience in spatiotemporal data analysis or GeoAI development.
-Priority given to candidates with publications in top journals.
-Excellent teamwork and communication skills.

Terms of the Project
One year

Key Words    

Artificial intelligence, spatiotemporal big data, spatial information organization, spatial data fusion, remote sensing intelligent interpretation