A multi-disciplinary team of experts

Our team has a multi-disciplinary expertise, know-how and experience, covering a wide spectrum of sensory-based computing and modelling. Our group has a specific research interest in large-scale earth observations via satellite imagery (resp: Chirag and Indrajit) and aerial photography (resp: Asfa), using Internet of Things field sensors as ground truth data (resp: Andreas), employing computer vision via deep learning for classification and prediction (resp: Savvas, Chirag and Indrajit), as well as geospatial analysis afterwards (resp: Asfa and Andreas) for modelling and problem solving, towards more informed policy-making. An application of this analysis towards policy-making is in the field of biodiversity (resp: Chirag), renewable energy systems (resp: Andreas and Jesper) as well as disaster modelling and response (resp: Asfa, Evi and Jesper). Finally, our team tries to dig deeper into deep learning models, trying to improve their operation based on how human cognition works (resp: Savvas and Olivia). Our team structure based on know-how is depicted below.

Our team addresses a wide range of problems in the aforementioned disciplines, with a general focus on large-scale earth observatory and sensing towards advanced environmental understanding and more informed policy-making

Application domains:

Agriculture (1, 2, 3, 4), Biodiversity (1, 2, 3, 4, 5), Digital twins (1, 2, 3), Food supply systems (1, 2), Climate change (1, 2, 3), Smart cities and urban environments (1, 2, 3, 4, 5, 6, 7, 8), Robotics (1, 2, 3), Forestry (1, 2), Ecology and natural environments (1, 2, 3, 4, 5, 6, 7, 8, 9, 10), Renewable energy and smart electricity grid (1), Disaster management and response (1, 2, 3, 4), Environmental policies (1, 2, 3, 4, 5, 6, 7), Migration (1), Real estate (1, 2), Water quality (1).

Technologies:

Satellite imagery (1, 2, 3, 4, 5, 6, 7, 8, 9), LIDAR (1, 2, 3), RADAR (1), Drones and aerial photography (1, 2, 3, 4, 5), Computer vision and Deep learning (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12), Machine learning (1, 2, 3, 4, 5, 6), Geospatial analysis and GIS (1, 2, 3, 4, 5, 6, 7, 8, 9), Blockchain (1), Mobile apps (1, 2, 3), Internet of Things (1, 2, 3, 4, 5), Big Data (1, 2, 3, 4, 5, 6, 7), Data Visualizations (1, 2, 3, 4), Environmental modelling and simulations (1, 2, 3, 4, 5, 6), Hyperspectral sensing (1).