Computational Massing Design

Computational Massing Design is a computational framework within building massing visualization that systematically generates, evaluates, and optimizes architectural massing proposals through algorithmic processes and performance-based feedback loops.

1

Publications

26

Citations

1

Authors

0

Institutions

Publications per year

2017–2026

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Authors

1

  1. DK
    David Kurmann

    ETH Zurich, Switzerland

    1 publications · 26 citations

    1

    h-index

  2. AH
    Aseel Hussien

    University of Sharjah, United Arab Emirates

    1 publications · 15 citations

    0

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  3. AM
    Aref Maksoud

    University of Sharjah, United Arab Emirates

    1 publications · 15 citations

    0

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  4. AA
    Ahmed Abdeen

    Assiut University, Egypt

    1 publications · 15 citations

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  5. SI
    Sarah Isam Abdul-Rahman Alawneh

    University of Sharjah, United Arab Emirates

    1 publications · 15 citations

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1–5 of 1

Institutions

0

  1. University of Sharjah

    Sharjah, United Arab Emirates

    1 publications

    15 citations

  2. Xi’an Jiaotong-Liverpool University

    Suzhou, China

    1 publications

    20 citations

  3. Nanjing University

    Nanjing, China

    1 publications

    20 citations

1–3 of 0

Venues

  1. Sustainability

    1 publications · 15 citations

  2. Frontiers of Architectural Research

    1 publications · 20 citations

1–2