1. Artificial Intelligence and Machine Learning (Deep Learning)
2. Geospatial Data Mining and Modelling (Geospatial Data Science)
3. Landscape Pattern Analysis (Vector-based and Raster-based GIS)
4. Remotely Sensed Image Analysis and their Applications
I am a Lecturer in Geospatial Data Science based in Centre of Excellence in Environmental Data Science (CEEDS; http://ceeds.ac.uk/), joint venture between Lancaster University and UK Centre for Ecology & Hydrology. I have strong expertise in Artificial Intelligence, Machine Learning and Deep Learning, and the application of these techniques in geospatial data science and remote sensing. My research is, therefore, highly innovative and transdisciplinary, driven by the ambition to tackle the most pressing environmental challenges of our time.