Alireza Nili

Biographic Data

ID4209593
NAMEAlireza Nili
GIVEN NAMESAlireza
FAMILY NAMENili
SIGNATURENILI A
AFFILIATIONSQueensland University of Technology
ORCID0000-0003-1183-7626
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS0
AUTHOR COUNT7
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX0

  • Machine learning applications for urban geospatial analysis

    Open AccessAbdulrazzaq Shaamala, Tan Yigitcanlar et al.ARTICLECities2025

    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 AccessAbdulrazzaq Shaamala, Tan Yigitcanlar et al.ARTICLECities2025References: 1

  • Algorithmic green infrastructure optimisation

    Open AccessAbdulrazzaq Shaamala, Tan Yigitcanlar et al.ARTICLESustainable Cities and Society2024

    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…

  • Salient design features that your social media platform needs

    Open AccessAlireza Nili, Alistair BarrosARTICLEFirst Monday2022

    We discuss the importance of salient design features (which support purposeful action and relate to functional affordances) of customer-to-customer social media platforms that support communities of interest, focussed on open-ended data and user tasks, in contrast to business-to-customer platforms, focussed on relatively fixed data and transactions. We provide an exposition of their design features, shedding light on how they support tasks of sea…

  • Retirement can wait

    Open AccessChristoph Niesel, Laurie Buys et al.ARTICLEAgeing and Society2022References: 64

    This qualitative study explores the experiences of 23 professional baby-boomers in Australia who are challenging the traditional employment and retirement pathway through non-standard employment (NSE). We focus on professional part-time, casual and self-employed work within the kaleidoscope of various working arrangements that form NSE. Using a phenomenographic approach, we identified variations in how these older baby-boomers experience engageme…

  • Reducing Consumer Uncertainty

    Open AccessHasti Ziaimatin, Alireza Nili et al.ARTICLEISPRS International Journal of…2020

    With the increased use of geospatial datasets across heterogeneous user groups and domains, assessing fitness-for-use is emerging as an essential task. Users are presented with an increasing choice of data from various portals, repositories, and clearinghouses. Consequently, comparing the quality and evaluating fitness-for-use of different datasets presents major challenges for spatial data users. While standardization efforts have significantly …

  • Chatbot-mediated public service delivery

    Open AccessTendai Makasi, Alireza Nili et al.ARTICLEFirst Monday2020

    Chatbots — computer programs designed to interactively engage with users, replicating humanlike conversational capabilities during service encounters — have been increasingly deployed across a wide range of Internet-based public services. While chatbots provide several advantages (e.g., improved user experience with reduced waiting times to service access), the surge of chatbot use in public service delivery has frequently been plagued with contr…