Ce Zhang

  1. Community
About
Ce is a Fellow in UK Centre for Ecology and Hydrology. He has extensive expertise in Artificial Intelligence, Machine Learning and Deep Learning, and the applications of innovative techniques in geospatial data science and remote sensing.
Organisation
UKCEH - Soils & Land Use
Role
Member (Staff)
Profile
https://www.ceh.ac.uk/staff/ce-zhang

Method themes

Complex systems

Environmental modelling
Complexity

Data acquisition and infrastructure

Citizen science
Sensors
Remote sensing
Environmental informatics
Environmental monitoring

Decision-making under Uncertainty

Uncertainty reasoning (incl. end-to-end uncertainties)
Underlying theories and representation (incl. Bayesian theories)
Decision-making
Uncertainty

Data Science Methods

Probabilistic modelling and optimisation
Deep learning
Machine learning core algorithms
Spatial statistics
Time series analysis/changepoint detection
Machine learning

Associated projects

Explainable AI for UK Agricultural Land Use Decision-making

Agricultural land use dynamics and their associated driving factors represent highly complex systems of flows that are subject to non-linearities, sensitivities, and uncertainties across spatial an

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