dr. C.M. Gevaert (Caroline)

2018 - Assistant Professor, University of Twente, Faculty ITC

2017 - International Consultant, the World Bank

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 - KNAW – Member of the Dutch Young Academy of Scientists (De Jonge Akademie)

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

2020 - NWO MVI – Disastrous information: embedding “Do No Harm” principles into innovative geo-intelligence workflows for effective humanitarian action

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

Engineering & Materials Science

# Deep Learning
# Labels
# Remote Sensing
# Unmanned Aerial Vehicles (Uav)

Earth & Environmental Sciences

# Imagery
# Informal Settlement
# Learning
# Vehicle

Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Observation Science (EOS)

Gevaert, C. M. (2022). Explainable AI for earth observation: A review including societal and regulatory perspectives. International Journal of Applied Earth Observation and Geoinformation (JAG), 112, [102869]. https://doi.org/10.1016/j.jag.2022.102869

Gevaert, C. M., Carman, M., Rosman, B. , Georgiadou, Y., & Soden, R. (2021). Fairness and accountability of AI in disaster risk management: Opportunities and challenges. Patterns, 2(11), 1-9. [100363]. https://doi.org/10.1016/j.patter.2021.100363

Qarallah, B., Al-Ajlouni, M., Al-Awasi, A., Alkarmy, M., Al-Qudah, E., Naser, A. B., Al-Assaf, A. , Gevaert, C. M. , Al Asmar, Y. , Belgiu, M., & Othman, Y. A. (2021). Evaluating post-fire recovery of Latroon dry forest using Landsat ETM+, unmanned aerial vehicle and field survey data. Journal of arid environments, 193, 1-10. [104587]. https://doi.org/10.1016/j.jaridenv.2021.104587

Kohli, D. , Gevaert, C. M. , & Kuffer, M. (2020). Mapping the Missing spaces and the role of Generic Slum Ontology. s1-s13. 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2020.

Kohli, D. , Gevaert, C. M. , & Kuffer, M. (2020). Mapping the missing spaces and the role of generic slum ontology. 1-5. Paper presented at 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2020.

van den Homberg, M. , Gevaert, C. M. , & Georgiadou, Y. (2020). The changing face of accountability in humanitarianism: using artificial intelligence for anticipatory action. Politics and Governance, 8(4), 1-12. https://doi.org/10.17645/pag.v8i4.3158

Gevaert, C. M. , Persello, C. , Sliuzas, R. V. , & Vosselman, G. (2020). Monitoring household upgrading in unplanned settlements with unmanned aerial vehicles. International Journal of Applied Earth Observation and Geoinformation (JAG), 90, 1-6. [102117]. https://doi.org/10.1016/j.jag.2020.102117

Miller, E., Luo, D., Deparday, V., Giovando, C. , Gevaert, C. M., Emanuele, R., Kassel, S., Needham, E., Lipstein, G., Bull, P., & Slavitt, I. (2019). An open machine learning challenge to map urban development and resilience in diverse African cities from aerial imagery. Abstract from AGU Fall Meeting 2019, San Francisco, California, United States. https://ui.adsabs.harvard.edu/abs/2019AGUFMIN52B..07M/abstract

Deparday, V. , Gevaert, C. M., Molinario, G., Soden, R., & Balog-Way, S. (2019). Machine Learning for Disaster Risk Management. World Bank. http://documents.worldbank.org/curated/en/503591547666118137/Machine-Learning-for-Disaster-Risk-Management

Kohli, D. , Kuffer, M. , & Gevaert, C. M. (2019). The Generic Slum Ontology: Can a Global Slum Repository be created? In IEEE - Joint Urban Remote Sensing Event, 2019 [8809034] IEEE. https://doi.org/10.1109/JURSE.2019.8809034

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Master

Spatial Engineering

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

201800290 - Extraction & Dissem. of Geo Information

201800290 - Extraction & Dissem. of Geo Information

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

2020 - NWO MVI – Disastrous information: embedding “Do No Harm” 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

+31534874578

+31534874358 (if no answer)

c.m.gevaert@utwente.nl

Visiting Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC (building no. 75), room 2-012
Hengelosestraat 99
7514AE Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC 2-012
P.O. Box 217
7500 AE Enschede
The Netherlands

Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Observation Science (EOS)

University of Twente Drienerlolaan 5
7522 NB Enschede

+31 (0)53 489 9111
info@utwente.nl
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