Team - Environmental Geoinformatics Team

Prof. Joseph Awange, Professor of Environmental Geoinformatics

Research Fields

Joseph is currently engaged in two research fields that have attracted media coverage (🔗 Read More):

1. Environmental Geoinformatics

Employing AI (artificial intelligence) to fully exploit Earth Observation (EO) data for environmental monitoring and applications.

2. Mathematical Geosciences

Developing Hybrid-symbolic solutions to integrate symbolic-numeric computations for geospatial applications.

Professional Duty

Director of Research Postgraduate Studies (DoRPgS) - LSGI，HKPolyU
Acquisition Manager – Earth Sciences, Geography and Environment Books (Springer Nature)
Associate Editor – Remote Sensing of Environment
Associate Editor – Science of Remote Sensing

Memberships, Awards and Training

International Association of Geodesy (IAG)
American Geophysical Union (AGU)
International Association of Impact Assessment (IAIA)
A Lead Expert of the National Environmental Monitoring Association (NEMA), Kenya

Education

Ph.D. in Geodesy, 2001 - Stuttgart University
M.Sc. in Geodesy, 1999 - Stuttgart University
M.Sc. in Surveying, 1996 - University of Nairobi
B.Sc. in Surveying, 1994 - University of Nairobi

Meet the Team

Jielong Wang

Postdoctoral Researcher

Jielong earned his M.Sc. in Surveying and Mapping from the College of Surveying and Geo-informatics at Tongji University, Shanghai, where he is also pursuing a Ph.D. in the same field. He served as a Research Associate in Spatial Science at Curtin University (Oct 2023 - Feb 2025).

His research focuses on deep learning techniques for reconstructing and downscaling historical and high-resolution water storage changes. He also investigates water storage variations in river basins using satellite observations, reanalysis, and hydrological models.

Duo Wang

Postdoctoral Researcher

Dr. Duo Wang obtained his B.Sc. in Information and Computing Science and M.Sc. in Computer Science from Beijing University of Technology. He earned his Ph.D. in Geodesy and Geoinformatics from the Karlsruhe Institute of Technology (KIT, Germany) under Prof. Hansjörg Kutterer.

Currently, he is a postdoctoral researcher at the Department of Land Surveying and Geo-Informatics (LSGI), The Hong Kong Polytechnic University. His research focuses on deep learning in Geodesy, particularly in tropospheric modeling and GNSS-based climate and environmental studies.