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DERI Seminar with Dr Ce Zhang

When: Thursday, May 23, 2024, 11:00 AM - 12:00 PM
Where: zoom

Speaker: Dr Ce Zhang, University of Bristol

Zoom link: https://qmul-ac-uk.zoom.us/j/81148100921

DERI Seminar: Geospatial Machine Learning to solve Environmental Data Science Challenges

Environmental data science is dedicated to the use of data science methods in environmental science to tackle some of the most pressing challenges of our time. Geospatial machine learning, especially deep learning, are widely applied in information extraction and modelling from Earth observation and geospatial big data. Applying geospatial machine learning techniques to environmental data science problems can help understand environmental systems and processes, and to provide support for decision making. A core issue at the theoretical level is how to abstract geospatial data into appropriate representations, while at the application level, the focus is on how models can be generalized to address significant environmental and socio-ecological challenges. This DERI seminar will introduce the theories, methods, and applications of geospatial machine learning in environmental data science, highlight the technical challenges and solutions, and outline the future research direction.

Dr Ce Zhang is a Lecturer in Environmental Data Science at the School of Geographical Sciences, University of Bristol. He has extensive expertise in Artificial Intelligence, Machine Learning and Deep Learning, and the application of these techniques in geospatial data science and remote sensing. Throughout his academic career, he has developed world leading research in land cover/use mapping and landscape hierarchical modelling using satellite Earth Observation (EO), by innovating Artificial Intelligence and deep learning approaches such as deep convolutional neural networks. To date, he has authored and co-authored over 80 high impact journal publications and won several funded research projects, including EU Horizon Europe, UKRI/NERC Strategic Priority Fund Landscape Decision programme, DEFRA Natural England, Net-Zero+ National Capability programme, EPSRC (IAA), and the European Space Agency.

 

 

 

 

 

 

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