V. (Vasileios) Milias

V. (Vasileios) Milias

Profiel

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.

Onderzoeksinteresses

  • Measures of spatial accessibility
  • Walkability
  • X-minute Cities
  • Equitable Urban Development
  • Spatial Data Science
  • Computational Urban Science
  • Machine Learning
  • Artificial Intelligence
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Academische achtergrond

  • MSc - Computer Science/Data Science - Delft University of Technology (TUD)
  • BSc & MSc - Electrical and Computer Engineering @National Technical University of Athens (NTUA)
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Publicaties

Media

Prijzen

  • 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

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