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Abdulrazzaq Shaamala

Datos Biográficos

ID4416935
NOMBREAbdulrazzaq Shaamala
NOMBRESAbdulrazzaq
APELLIDOShaamala
FIRMASHAAMALA A
AFILIACIONESQueensland University of Technology
ORCID0000-0003-1683-4192
VERIFICADOSí
TOTAL DE OBRAS8
TOTAL DE CITAS0
TOTAL COMO AUTOR8
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2024
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H0
  • Rethinking impact assessment for Olympic mega-events

    Open Access•Umberto Baresi, Tan Yigitcanlar et al.•ARTICLE•Environmental Impact Assessment…•2026

    With six years remaining until the Brisbane 2032 Olympic and Paralympic Games, this viewpoint examines whether conventional impact assessment approaches are adequate for governing the cumulative, cross-scalar, and long-term impacts of mega-events. The Olympic and Paralympic Games generate governance and assessment challenges that extend beyond the scope of traditional project-based environmental impact assessment (EIA), including multiple interde…

  • Surveilled urban futures

    Open Access•Tan Yigitcanlar, Abdulrazzaq Shaamala et al.•ARTICLE•Urban Studies•2026

    Urban AI is increasingly embedded in the governance of security, mobility, and everyday life through sensors, cameras, and algorithmic systems promoted under smart city agendas. While these technologies promise efficiency and protection, their rapid normalisation raises tensions between security, democratic accountability and individual freedom. This commentary critically examines AI-enabled urban surveillance as a contemporary mode of statecraft…

  • Are AI narratives on smart cities realistic? Content and sentiment analysis on popular YouTube discourse

    Open Access•Sajani Senadheera, Abdulrazzaq Shaamala et al.•ARTICLE•AI & Society•2026

  • Leveraging urban AI for high-resolution urban heat mapping

    Open Access•Abdulrazzaq Shaamala, Niklas Tilly et al.•ARTICLE•Environment and Planning B Urban…•2025

    Urban heat island (UHI) effects are increasingly recognised as a significant challenge arising from urbanisation, leading to elevated temperatures within urban areas that pose risks to public health and undermine the sustainability of cities. Effective UHI management requires high-resolution and timely mapping of urban temperature patterns to guide interventions. Traditional methods for urban heat mapping often lack the spatial accuracy and effic…

  • Quantum AI Urbanism

    Open Access•Tan Yigitcanlar, Sk Tahsin Hossain et al.•ARTICLE•Journal of Urban Technology•2025

  • Machine learning applications for urban geospatial analysis

    Open Access•Abdulrazzaq Shaamala, Tan Yigitcanlar et al.•ARTICLE•Cities•2025

    The application of machine learning (ML) in geospatial analysis has witnessed a significant upsurge, particularly in the last five years. This surge is linked to exponential developments in artificial intelligence (AI) technologies and the extensive demand for their applications in geospatial analysis fields such as urban and environmental studies and planning. Given these rapid developments, understanding the capabilities and applications of ML …

  • Algorithmic urban greening for thermal resilience

    Open Access•Abdulrazzaq Shaamala, Tan Yigitcanlar et al.•ARTICLE•Cities•2025•Referencias: 1

  • Algorithmic green infrastructure optimisation

    Open Access•Abdulrazzaq Shaamala, Tan Yigitcanlar et al.•ARTICLE•Sustainable Cities and Society•2024

    Green infrastructure (GI) is a fundamental building block of our cities. It contributes to the sustainability and vitality of cities by offering various benefits such as greening, cooling, water, air quality, and managing carbon emissions. GI plays an essential role in enhancing overall well-being. The utilisation of artificial intelligence (AI) technologies for GI optimisation is perceived as a powerful approach for cities. A knowledge gap, neve…

Sin obras prominentes en esta página.

  • Algorithmic green infrastructure optimisation

    Open Access•Abdulrazzaq Shaamala, Tan Yigitcanlar et al.•ARTICLE•Sustainable Cities and Society•2024

    Green infrastructure (GI) is a fundamental building block of our cities. It contributes to the sustainability and vitality of cities by offering various benefits such as greening, cooling, water, air quality, and managing carbon emissions. GI plays an essential role in enhancing overall well-being. The utilisation of artificial intelligence (AI) technologies for GI optimisation is perceived as a powerful approach for cities. A knowledge gap, neve…

  • Leveraging urban AI for high-resolution urban heat mapping

    Open Access•Abdulrazzaq Shaamala, Niklas Tilly et al.•ARTICLE•Environment and Planning B Urban…•2025

    Urban heat island (UHI) effects are increasingly recognised as a significant challenge arising from urbanisation, leading to elevated temperatures within urban areas that pose risks to public health and undermine the sustainability of cities. Effective UHI management requires high-resolution and timely mapping of urban temperature patterns to guide interventions. Traditional methods for urban heat mapping often lack the spatial accuracy and effic…

  • Quantum AI Urbanism

    Open Access•Tan Yigitcanlar, Sk Tahsin Hossain et al.•ARTICLE•Journal of Urban Technology•2025

  • Machine learning applications for urban geospatial analysis

    Open Access•Abdulrazzaq Shaamala, Tan Yigitcanlar et al.•ARTICLE•Cities•2025

    The application of machine learning (ML) in geospatial analysis has witnessed a significant upsurge, particularly in the last five years. This surge is linked to exponential developments in artificial intelligence (AI) technologies and the extensive demand for their applications in geospatial analysis fields such as urban and environmental studies and planning. Given these rapid developments, understanding the capabilities and applications of ML …

  • Algorithmic urban greening for thermal resilience

    Open Access•Abdulrazzaq Shaamala, Tan Yigitcanlar et al.•ARTICLE•Cities•2025•Referencias: 1

  • Rethinking impact assessment for Olympic mega-events

    Open Access•Umberto Baresi, Tan Yigitcanlar et al.•ARTICLE•Environmental Impact Assessment…•2026

    With six years remaining until the Brisbane 2032 Olympic and Paralympic Games, this viewpoint examines whether conventional impact assessment approaches are adequate for governing the cumulative, cross-scalar, and long-term impacts of mega-events. The Olympic and Paralympic Games generate governance and assessment challenges that extend beyond the scope of traditional project-based environmental impact assessment (EIA), including multiple interde…

  • Surveilled urban futures

    Open Access•Tan Yigitcanlar, Abdulrazzaq Shaamala et al.•ARTICLE•Urban Studies•2026

    Urban AI is increasingly embedded in the governance of security, mobility, and everyday life through sensors, cameras, and algorithmic systems promoted under smart city agendas. While these technologies promise efficiency and protection, their rapid normalisation raises tensions between security, democratic accountability and individual freedom. This commentary critically examines AI-enabled urban surveillance as a contemporary mode of statecraft…

  • Are AI narratives on smart cities realistic? Content and sentiment analysis on popular YouTube discourse

    Open Access•Sajani Senadheera, Abdulrazzaq Shaamala et al.•ARTICLE•AI & Society•2026

Computer Science (4 obras) · Corporate governance (3 obras) · Geography (3 obras) · Smart Cities and Technologies (3 obras) · Urban Heat Island Mitigation (3 obras) · Artificial Intelligence (2 obras) · Climate change (2 obras) · Ecology (2 obras) · Engineering (2 obras) · Environmental planning (2 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae