V. (Vasileios) Milias
V. (Vasileios) Milias
Profile
Vasileios Milias is currently pursuing a Ph.D. in the Urban Analytics Lab at the Faculty of Industrial Design Engineering (IDE) at Delft University of Technology. His research centers around the intersection of urban accessibility, spatial data science, and machine learning. In his studies, he combines computer science and participatory methods to inform the design of healthy, sustainable, and inclusive living environments.
His primary focus is on developing computational methods, tools, and indicators for evaluating the degree to which cities are accessible, walkable, inclusive, sustainable, safe, and attractive for all.
Research interests
- Measures of spatial accessibility
- Walkability
- X-minute Cities
- Equitable Urban Development
- Spatial Data Science
- Computational Urban Science
- Machine Learning
- Artificial Intelligence
Academic background
- MSc - Computer Science/Data Science - Delft University of Technology (TUD)
- BSc & MSc - Electrical and Computer Engineering @National Technical University of Athens (NTUA)
Publications
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2024
Bridging or separating?
Co-accessibility as a measure of potential place-based encounters
V. Milias / A. Psyllidis / A. Bozzon -
2024
Crowdsourcing the influence of physical features on the likely use of public open spaces
Vasileios Milias / Roos Teeuwen / Alessandro Bozzon / Achilleas Psyllidis
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2024
Developing a city-specific walkability index through a participatory approach
Matias Cardoso / Vasileios Milias / Maurice Harteveld
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2024
How well do NDVI and OpenStreetMap data capture people’s visual perceptions of urban greenspace?
R.F.L. Teeuwen / V. Milias / Alessandro Bozzon / A. Psyllidis
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2024
Urban Co-accessibility
V. Milias
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Media
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2023-12-19
Kinderen in de openbare ruimte: Urban Analytics Lab biedt inzicht in knelpunten leefomgeving
Appeared in: Onze Jeugd: Nieuws en advies voor onderwijs, gemeenten en jeugdwerk
Prizes
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2024-6-7
Developing a city-specific walkability index through a participatory approach: Best full paper award
The paper receiver the Best full paper award at the 27th AGILE conference in Glasgow, UK, 4-7 June 2024.
27th AGILE conference -
2024-4-11
CTwalk Map: Best Demo Award
CTwalk Map is an interactive web tool that unveils the potential of social encounters and access inequities in urban neighborhoods by leveraging open-access data. Drawing on information from various open sources, including population, location, and pedestrian network data, the tool estimates the number of individuals across different age groups who can reach city destinations within a 5 or 15-minute walk, highlighting opportunities for social cohesion and disparities in access.
ICT.Open 2024
