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Mr Wilson Lukmanjaya

Mr Wilson Lukmanjaya

Casual Academic

Bachelor of Computing Science (Honours) - University of Technology Sydney 2022

Medicine & Health
Faculty Office

Wilson is PhD Candidate and Research Assistant within the Justice Health Research Program at the School of Population Health, UNSW under the co-supervision of Dr. George Karystianis and Prof. Tony Butler. His PhD research involves implementing text mining on child maltreatment narratives for information extraction and analysis. Alongside his PhD, he works on several other projects including creating a database for PubMed abstracts on epidemiological criminology and self-harm and suicidal events from police narratives.

Over the last few years, Wilson has been building interpersonal relationships for collaboration within the Indonesian Australian community. He is a member of INDERA (Indonesian Network of Doctoral and ECR in Australia) and have collaborated with the ex-Minister of Health of Indonesia, Prof. Nila Moeloek, resulting in several media coverage about risk factors of stunting, a renowned public health focus in Indonesia. Other external projects include national alcohol consumption and malnutrition risk factors in Indonesian adolescence and young people based on a national survey.

Through all of his work, Wilson strives to investigate cross-disciplinary methods of implementing technology such as AI on sensitive health data to provide evidence to create impactful positive changes.
E-mail
w.lukmanjaya@unsw.edu.au
Location
F25 Samuels Building School of Population Health
  • Journal articles | 2024
    Karystianis G; Lukmanjaya W; Buchan I; Simpson P; Ginnivan N; Nenadic G; Butler T, 2024, 'An analysis of published study designs in PubMed prisoner health abstracts from 1963 to 2023: a text mining study', BMC Medical Research Methodology, 24, http://dx.doi.org/10.1186/s12874-024-02186-6
    Journal articles | 2024
    Lukmanjaya W; Butler T; Taflan P; Simpson P; Ginnivan N; Buchan I; Nenadic G; Karystianis G, 2024, 'Population Characteristics in Justice Health Research Based on PubMed Abstracts From 1963 to 2023: Text Mining Study', JMIR Formative Research, 8, http://dx.doi.org/10.2196/60878
    Journal articles | 2023
    Karystianis G; Simpson P; Lukmanjaya W; Ginnivan N; Nenadic G; Buchan I; Butler T, 2023, 'Automatic Extraction of Research Themes in Epidemiological Criminology From PubMed Abstracts From 1946 to 2020: Text Mining Study', JMIR Formative Research, 7, http://dx.doi.org/10.2196/49721
    Journal articles | 2022
    Karystianis G; Adily A; Schofield PW; Wand H; Lukmanjaya W; Buchan I; Nenadic G; Butler T, 2022, 'Surveillance of Domestic Violence Using Text Mining Outputs From Australian Police Records', Frontiers in Psychiatry, 12, http://dx.doi.org/10.3389/fpsyt.2021.787792
    Journal articles | 2022
    Karystianis G; Cabral RC; Adily A; Lukmanjaya W; Schofield P; Buchan I; Nenadic G; Butler T, 2022, 'Mental Illness Concordance Between Hospital Clinical Records and Mentions in Domestic Violence Police Narratives: Data Linkage Study', JMIR Formative Research, 6, http://dx.doi.org/10.2196/39373
    Journal articles | 2022
    Karystianis G; Lukmanjaya W; Simpson P; Schofield P; Ginnivan N; Nenadic G; van Leeuwen M; Buchan I; Butler T, 2022, 'An Analysis of PubMed Abstracts From 1946 to 2021 to Identify Organizational Affiliations in Epidemiological Criminology: Descriptive Study', Interactive Journal of Medical Research, 11, pp. e42891, http://dx.doi.org/10.2196/42891
  • Preprints | 2025
    Lukmanjaya W; Butler T; Cox S; Perez-Concha O; Bromfield L; Karystianis G, 2025, Leveraging AI to Investigate Child Maltreatment Text Narratives: Promising Benefits and Addressable Risks (Preprint), http://dx.doi.org/10.2196/preprints.73579
    Preprints | 2024
    Lukmanjaya W; Butler T; Taflan P; Simpson P; Ginnivan N; Buchan I; Nenadic G; Karystianis G, 2024, Population Characteristics in Justice Health Research Based on PubMed Abstracts From 1963 to 2023: Text Mining Study (Preprint), http://dx.doi.org/10.2196/preprints.60878
    Preprints | 2023
    Karystianis G; Simpson P; Lukmanjaya W; Ginnivan N; Nenadic G; Buchan I; Butler T, 2023, Automatic Extraction of Research Themes in Epidemiological Criminology From PubMed Abstracts From 1946 to 2020: Text Mining Study (Preprint), http://dx.doi.org/10.2196/preprints.49721
    Preprints | 2022
    Karystianis G; Cabral RC; Adily A; Lukmanjaya W; Schofield P; Buchan I; Nenadic G; Butler TG, 2022, Mental illness concordance between hospital clinical records and mentions in domestic violence police narratives: Data linkage study (Preprint), http://dx.doi.org/10.2196/preprints.39373
    Conference Papers | 2022
    Lukmanjaya WK; Islam MR; Xu G, 2022, 'Evidence-Based Process in Research Involving Machine Learning Algorithms', in Proceedings of the 2022 IEEE International Conference on Behavioural and Social Computing, BESC 2022, http://dx.doi.org/10.1109/BESC57393.2022.9995599

  • University International Postgraduate Award PhD Scholarship (2022-2026)

  • Australia Centre for Child Protection (2025) - $5,000 Scholarship 

2022: recipient of the University of Technology Sydney Dean's List award

 

 

  • PhD: Text mining child maltreatment narratives to assess feasibility and information extraction. Part of the Centre for Research Excellence (CRE) grant and contributing to the royal commission into domestic, family and sexual violence commenced in 2024. 

  • FKI Indonesia: Analysing stunting risk factors in Indonesia based on a national health survey

  • Police Narratives: Creating databases on self-harm and suicidal events during COVID from text mining results

  • SKI Indonesia: Analysing national alcohol consumption and malnutrition in Indonesian adolescence and young people based on a national health survey