Langezijds

dr. C.M. Gevaert (Caroline)

Associate Professor
ITC-EOS
Langezijds 1221
c.m.gevaert@utwente.nl
+31534874578
Business card

CV

2023 - Associate Professor, University of Twente, Faculty ITC

2017 - International Consultant, the World Bank

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

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

Ā 

Awards and Grants

2022 - KNAWĀ ā€“Ā Member of the Dutch Young Academy of Scientists (De Jonge Akademie)

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

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

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

Expertise

  • Earth and Planetary Sciences

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

Organisations

Publications

2024

Auditing Flood Vulnerability Geo-Intelligence Workflow for Biases (2024)ISPRS international journal of geo-information. Masinde, B., Gevaert, C., Nagenborg, M., van den Homberg, M., Margutti, J., Gortzak, I. & Zevenbergen, J.https://doi.org/10.3390/ijgi13120419De Olho na Mata: monitoring Atlantic forests with drones and few-shot learning (2024)International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-3-2024, 387-392. Pedro, A. A., Javan, F. D., Georgievska, S., Barreto, E. H. P., Ku, O., de Oliveira, F., Oliveira, P. d. P. & Gevaert, C.https://doi.org/10.5194/isprs-archives-xlviii-3-2024-387-2024Explainable few-shot learning workflow for detecting invasive and exotic tree species (2024)[Dataset Types › Dataset]. Zenodo. Ku, O., Pedro, A. A., Gevaert, C. M. & Cheng, H.https://doi.org/10.5281/zenodo.13380285Better, Not Just More: Data-Centric Machine Learning for Earth Observation (2024)[Working paper › Preprint]. 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 (2024)[Working paper › Preprint]. 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  (2024)[Contribution to conference › Abstract] EGU General Assembly 2024. 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 (2024)[Contribution to conference › Abstract] EGU General Assembly 2024. 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 (2024)[Contribution to conference › Poster] 5th Digital Society Conference 2024 (Unpublished). Masinde, B. K., Gevaert, C. M., Nagenborg, M. H. & Zevenbergen, J. A.Algorithmic Fairness in Geo-intelligence Workflows through Causality (2024)[Contribution to conference › Poster] 3rd European Workshop on Algorithmic Fairness, EWAF 2024. Masinde, B., Gevaert, C. M., Nagenborg, M. H., van den Homberg, M. J. C. & Zevenbergen, J. A.Auditing geospatial datasets for biases: using global building datasets for disaster risk management (2024)IEEE Journal of selected topics in applied earth observations and remote sensing, 17, 12579-12590. Gevaert, C. M., Buunk, T. & van den Homberg, M. J. C.https://doi.org/10.1109/JSTARS.2024.3422503

Research profiles

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

Address

University of Twente

Langezijds (building no. 19), room 1221
Hallenweg 8
7522 NH Enschede
Netherlands

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