Dr Arjan Gosal
As an experienced scientist, I bring a range of statistical and programming skills (R and Python), with a passion for using machine learning techniques applied to real world environmental problems. I am currently working on projects funded by the Natural Environment Research Council, European Union Horizon 2020 and Microsoft AI4Earth. I was also awarded a competitive Michael Beverley Innovation Fellowship at the Univeristy of Leeds in 2021 to conduct innovative research into the composition of urban trees through the use of artificial intelligence and machine learning techniques.
I am currently involved in ADVANCES (Advancing Analysis of Natural Capital in Landscape Decisions) and H2020 BESTMAP (Behavioural, ecological and socio-economic tools for modelling agricultural policy) projects. ADVANCES seeks to develop better computer-based optimisation and statistical tools to assess changes in natural capital. It aims to utilise modelling efforts to produce outputs that are policy and conservation relevant. BESTMAP (Behavioural, ecological and socio-economic tools for modelling agricultural policy) aims to transform future EU rural policy design and monitoring, through development of a new modelling framework using agent-based modelling, biophysical models and upscaling of approaches. Recent funding was received from Microsoft AI4Earth programme to use assess landscape aesthetics at large scales using machine learning, artificial intelligence and cloud technologies.
My research interests often draw from socio-environmental systems, more specifically urban forests, hydrology, conservation, landscape aesthetics and recreation. Author of several peer reviewed articles, including publication in the Journals; Ecosystem Services, Ecological Indicators and Science of the Total Environmental. Recent lead author on the report Exploring ecosystem markets for the delivery of public goods in the UK and contributing author for The IPBES regional assessment report on biodiversity and ecosystem services for Europe and Central Asia.
An expert in the use of spatial modelling approaches, I have used a range of techniques from statistical and process-based models. With strong programming experience in both R and Python, I have a passion for adopting machine learning and artificial intelligence technologies for real world environmental management issues.
Research groups and institutes
- Ecology and Global Change