dr. C.M. Gevaert (Caroline)

Universitair hoofddocent
ITC-EOS
Langezijds 1221
c.m.gevaert@utwente.nl
+31534874578
Visitekaartje

CV

Ā 

2023 -Ā Associate Professor, University of Twente, Faculty ITC

2017 -Ā International Consultant, the World Bank

2018 - 2023Ā Assistant Professor, University of Twente, Faculty ITC

Ā 

2014 - 2018 PhD on Informal Settlement Mapping with UAV imagery (cum laude), University of Twente, Faculty ITC

2012-2014 MSc Geographical Information Systems, Lund University, Sweden

2012-2013 MSc Remote Sensing, University of Valencia, Spain

2008-2011 BSc International Land and Water Management, Wageningen University, the Netherlands

Awards and Grants

2022 - KNAWĀ ā€“Ā Lid vanĀ  De Jonge Akademie

2021 - NWO Veni ā€“ Bridging the gap between Artificial Intelligence and society: Developing responsible and viable solutions for geospatial data

2020 - NWO MVI ā€“ Disastrous information: embedding ā€œDo No Harmā€ principles into innovative geo-intelligence workflows for effective humanitarian action

2020 - Nederlandse Commissie voor Geodesie - J.M. Tienstra Onderzoeksprijs

Ā 

Expertises

  • Earth and Planetary Sciences

    • Datum
    • Pilotless Aircraft
    • Imagery
    • Cartography
    • Area
    • Metropolitan Area
    • Image
    • Investigation

Organisaties

Publicaties

2024
Auditing geospatial datasets for biases: using global building datasets for disaster risk management, 1-12 (E-pub ahead of print/First online). Gevaert, C. M., Buunk, T. & van den Homberg, M. J. C.https://doi.org/10.1109/JSTARS.2024.3422503Better, Not Just More: Data-Centric Machine Learning for Earth Observation. ArXiv.org (E-pub ahead of print/First online). Roscher, R., Rußwurm, M., Gevaert, C., Kampffmeyer, M., Santos, J. A. d., Vakalopoulou, M., Hänsch, R., Hansen, S., Nogueira, K., Prexl, J. & Tuia, D.https://doi.org/10.48550/arXiv.2312.05327Responsible AI for Earth Observation. ArXiv.org (E-pub ahead of print/First online). Ghamisi, P., Yu, W., Marinoni, A., Gevaert, C. M., Persello, C., Selvakumaran, S., Girotto, M., Horton, B. P., Rufin, P., Hostert, P., Pacifici, F. & Atkinson, P. M.https://doi.org/10.48550/arXiv.2405.20868Optimizing crop type mapping for fairnessĀ . Gorbunov, I., Gevaert, C. & Belgiu, M.https://doi.org/10.5194/egusphere-egu24-19021XAI for small-data problems in remote sensing: monitoring Atlantic forests with UAVs. Chandramouli, P., Gevaert, C. M., Nattino, F., Ku, O., Pedro, A. A., Oliveira, P. d. P., Barreto, E. H. P. & Ovileira, F. d.https://doi.org/10.5194/egusphere-egu24-9192Accountable Geo-intelligence (Unpublished). Masinde, B. K., Gevaert, C. M., Nagenborg, M. H. & Zevenbergen, J. A.Algorithmic Fairness in Geo-intelligence Workflows through Causality. Masinde, B., Gevaert, C. M., Nagenborg, M. H., van den Homberg, M. J. C. & Zevenbergen, J. A.
2023
Group-privacy threats for geodata in the humanitarian context, Article 393. Masinde, B. K., Gevaert, C. M., Nagenborg, M. H. & Zevenbergen, J. A.https://doi.org/10.3390/ijgi12100393Threat modelling for geo-spatial data in the humanitarian context. Masinde, B. K., Nagenborg, M. H., Gevaert, C. M., Meissner, F. & Zevenbergen, J. A.IDeaMapSudan: Geo-spatial modelling of urban povertyIn 2023 Joint Urban Remote Sensing Event (JURSE) (pp. 1-4). IEEE. Kuffer, M., Ali, I. M. M., Gummah, A., Da Silva Mano, A., Sakhi, W., Kushieb, I., Girgin, S., Eltiny, N., Kumi, J., Abdallah, M., Bad, M., Ahmed, F., Hamza, M., Wang, J., Elzaki, T., Gevaert, C. & Flasse, C.https://doi.org/10.1109/JURSE57346.2023.10144211

Onderzoeksprofielen

Verbonden aan opleidingen

Vakken collegejaar 2023/2024

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.

Vakken collegejaar 2022/2023

2021 - NWO Veni ā€“ Bridging the gap between Artificial Intelligence and society: Developing responsible and viable solutions for geospatial data

2020 - NWO MVI ā€“ Disastrous information: embedding ā€œDo No Harmā€ principles into innovative geo-intelligence workflows for effective humanitarian action

2020 - Nuffic-OKP Tailor-Made Training Plus - Capacity strengthening for gender responsive and sustainable urban development: Integrated Deprivation Area Mapping System for Displacement Durable Solutions and socio-economic reconstruction in Khartoum, Sudan (IDeAMapSudan)

2019-2020 - Nuffic-OKP Tailor-Made Training - Satellite and Unmanned Aerial Vehicle (UAV) Remote Sensing Applications contributing to the creation of ecologically sustainable food and water management systems in Jordan

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