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Mila Koeva

Associate Professor, Vice Dean Research

University of Twente

Enschede, Netherlands

Driving innovation in 3D Digital Twins and geospatial AI to shape smarter, more sustainable, and resilient cities worldwide. Let’s collaborate.

My organisation

University of Twente

University of Twente

University

Enschede, Netherlands

The University of Twente (Dutch: Universiteit Twente \[ynivɛrsiˌtɛi(t) ˈtʋɛntə\]; abbr. UT) is a public technical university located in Enschede, Netherlands. The university has been placed in the top 170 universities in the world by multiple central ranking tables. In addition, the UT was ranked the best technical university in The Netherlands by Keuzegids Universiteiten, the most significant national university ranking. The UT collaborates with Delft University of Technology, Eindhoven University of Technology and the Wageningen University and Research Centre under the umbrella of 4TU and is also a partner in the European Consortium of Innovative Universities (ECIU).
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About me

I am an Associate Professor in “3D city digital twins based on geospatial technologies for improved land management and urban planning” at the University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), Department of Urban and Regional Planning and Geo-information Management (PGM), Enschede, The Netherlands. My PhD is on “3D modelling in architectural photogrammetry” from the University of Architecture, Civil engineering, and Geodesy in Sofia. 

For my research, I am interested in innovative methods for automatic feature extraction for mapping based on satellite, aerial, LiDAR, and UAV data. This includes using artificial intelligence (AI) and machine learning (ML) approaches. My research is not limited to conventional 2D mapping, but also, I was also inspired to move towards new land management and city planning, namely Digital Twinning. 

Currently, I am leading Digital Twin Geohub in UT and am part of several European projects. I am chairing working groups and organizing scientific events, e.g. chairing ISPRS WG IV/9 on Digital Twins, FIG WT 7 on AI4LA, etc. I am passionate about co-development and application of innovative methods using geospatial and remotely sensed data for City Digital Twin or 3D city model creation, enhancing mapping, resource management, and decision-making for cadastral and urban planning applications, among others.

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    Author

    Mila Koeva

    Associate Professor, Vice Dean Research at University of Twente

    Enschede, Netherlands