| 2024 | IGARSS | Large Area Mapping of Urban Deprivation from Sentinel-2 and Google Open Buildings using Deep Learning. | Ryan N. Engstrom, Maxwell Owusu, Mina Hanna, Amir Jafari, Dana R. Thomson, Monika Kuffer |
| 2024 | IGARSS | IDEAMAPS: Modelling Sub-Domains of Deprivation with EO and AI. | Monika Kuffer, ngela Abascal, Ryan N. Engstrom, Dana R. Thomson, Grant Tregonning, Adenike Shonowo, Qunshan Zhao, Joo Porto de Albuquerque, Peter Elias, Francis C. Onyambu, Caroline Kabaria |
| 2023 | IGARSS | Evaluating the Ability to Use Contextual Features to Map Deprived Areas 'Slums' in Multiple Cities. | Ryan N. Engstrom, Maxwell Owusu, Arathi Nair, Amir Jafari, Dana R. Thomson, Monika Kuffer |
| 2021 | IGARSS | Development of a Multi-City Deprived Area Mapping Ecosystem. | Ryan N. Engstrom, Dana R. Thomson, Julia Ek, Monika Kuffer |
| 2016 | IGARSS | Contextural feature evaluation of multi-resolution imagery. | Qin Yu, Ryan N. Engstrom, Jordan Graesser |
| 2016 | IGARSS | Evaluating the use of multiple imagery-derived spatial features to predict census demographic variables in Accra, Ghana. | Ryan N. Engstrom, Andrew Copenhaver, Yang Qi |
| 2015 | IGARSS | Assessing the relationship between spatial features derived from high resolution satellite imagery and census variables in Accra, Ghana. | Ryan N. Engstrom, Avery Sandborn, Qin Yu, Jordan Graesser |