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Balamurugan Soundararaj

Biographic Data

ID9453185
NAMEBalamurugan Soundararaj
GIVEN NAMESBalamurugan
FAMILY NAMESoundararaj
SIGNATURESOUNDARARAJ B
AFFILIATIONSUNSW Sydney
ORCID0000-0002-2607-496X
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Implications of tenant data collection in housing

    Sophia Maalsen, Chris Martins et al.•ARTICLE•AHURI Final Report•2026

  • Transforming urban planning through machine learning

    Open Access•Lin Yang, Yang Lin et al.•ARTICLE•Environment and Planning B Urban…•2026

    Planning for sustainable urban growth is a pressing challenge facing many cities. Investigating proposed changes to the built environment can provide planners and policymakers information to understand future urban development trends and related infrastructure requirements. It is in this context we have developed a novel urban analytics approach that utilises planning applications (PAs) data and Natural Language Processing (NLP) techniques to for…

  • Using Wi-Fi probe requests from mobile phones to quantify the impact of pedestrian flows on retail turnover

    Open Access•Terje Trasberg, Balamurugan Soundararaj et al.•ARTICLE•Computers Environment and Urban…•2021

No prominent works on this page.

  • Using Wi-Fi probe requests from mobile phones to quantify the impact of pedestrian flows on retail turnover

    Open Access•Terje Trasberg, Balamurugan Soundararaj et al.•ARTICLE•Computers Environment and Urban…•2021

  • Implications of tenant data collection in housing

    Sophia Maalsen, Chris Martins et al.•ARTICLE•AHURI Final Report•2026

  • Transforming urban planning through machine learning

    Open Access•Lin Yang, Yang Lin et al.•ARTICLE•Environment and Planning B Urban…•2026

    Planning for sustainable urban growth is a pressing challenge facing many cities. Investigating proposed changes to the built environment can provide planners and policymakers information to understand future urban development trends and related infrastructure requirements. It is in this context we have developed a novel urban analytics approach that utilises planning applications (PAs) data and Natural Language Processing (NLP) techniques to for…

Computer Science (2 works) · Human Mobility and Location-Based Analysis (2 works) · Artificial Intelligence (1 work) · Business (1 work) · Computational and Text Analysis Methods (1 work) · Data collection (1 work) · demographic modeling and climate adaptation (1 work) · Engineering (1 work) · Geography (1 work) · Housing Market and Economics (1 work)

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