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Dr Warren Jin

Principal Research Scientist

https://people.csiro.au/J/W/Warren-Jin

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Contact details:

GPO BOX 1700
CANBERRA ACT 2601 AUSTRALIA

Biography

Warren Jin is a member of the Statistical Machine Learning group within the Analytics & Decision Science program at Data61, CSIRO. He develops and applies machine learning or statistical models to tackle high-impact challenges in Australia. By collaborating extensively with CSIRO's A&F and Environment business units, he has led analytics initiatives for several multidisciplinary projects, translating these models into innovative techniques for digital agriculture. These include localised extreme rainfall forecasting and projection, crop yield forecasting, irrigation scheduling, to precision treatment optimisation and frost risk estimation. Several of these techniques have been commercialised or operationalised as government services such as Consistent Climate Scenarios data, or are currently being tested for future deployment.

He was trained in Applied Mathematics (with an emphasis on Statistics) and Computer Science (with a focus on data mining). His previous award-winning research at CSIRO focused on anomaly detection for drug safety. He authored or co-authored over 90 peer-reviewed publications indexed by SCI, including in top-tier journals across Computer Science, Statistics, Climate Science, Agriculture, and Environmental Sciences. Several papers, not necessarily indexed by SCI, were accepted by top computer science conferences such as KDD, EMNLP, and ICDM. He also contributed to 50+ technical reports, most of which are Commercial in Confidence. His research output received several best paper/innovation awards. Some recent achievements include
* A recent anomaly detection work was selected as the Most Influential KDD Papers by Paper Digest Team, New York City.
* Another recent work on precision treatment was shortlisted for the EurAgEng Outstanding Paper Award.

He is a registered PhD supervisor at ANU and was an Adjunct Fellow, College of Engineering and Computer Science, ANU. Over 40 Master/Honours/MPhil/PhD students or postdocs have finished their projects under his supervision/co-supervision. Most are now working in the private sector or government departments while some former students continue to excel in research, such as A/Prof Lan Du, Senior Lecturer Shuvo Bakar, Assistant Prof Guansong Pang, and postdoc Prabhasri Herath.

Students with a strong background in machine learning or statistics are encouraged to reach out for research opportunities. Projects include long-term time series forecasting for agricultural and environmental applications, high-resolution climate forecast downscaling, and consensus forecasting using multiple climate models. Financial assistance may be available, including CSIRO top-up scholarships for PhD students in addition to standard university PhD scholarships.

Professional Areas

Fields of Research

Current

Current Roles

  • Project lead
    QDAF multi-model ensemble consensus seasonal climate forecasting in Queensland (2023- Sep 2026)

  • Project Lead
    Digital Agriculture -- Low-cost digital crop monitoring system (2023.7 to )

Academic Qualifications

  • 2002

    PhD (Computer Science and Engineering)
    the Chinese University of Hong Kong, Hong Kong

  • 1998

    Master of Science (Applied Mathematics)
    Xi'an Jiaotong University, Xi'an, P.R. China

  • 1995

    Bachelor of Science (Applied Mathematics)
    Xi'an Jiaotong University, Xi'an, P.R. China

Achievements and Awards

  • -2022

    CSIRO Entrepreneurship Award (Digiscape Waterwise)
    CSIRO

  • -2018

    Chair’s Medal for Science and Engineering Excellence (Bioregional Assessments)
    CSIRO

  • -2016

    CSIRO Medal for Impact from Science (WIRADA)
    CSIRO

  • June-2008

    Best Paper Award, IEEE International Conference on Intelligence and Security Informatics (ISI), 2008. (http://isi2008.cpu.edu.tw/isi2008/06.htm)
    IEEE

  • Dec-2007

    VisHCI Best Paper Award, Digital Image Computing: Techniques and Applications (DICTA), 2007
    DICTA

  • Sep-2005

    Innovation Award, Division of Mathematical and Information Sciences, CSIRO
    CSIRO CMIS

Other highlights

  • Sep-2023

    "Deep Weakly-supervised Anomaly Detection", published in a Rank A* conference, is selected as the Most Influential KDD Papers by Paper Digest Team, New York City. Detail see https://www.paperdigest.org/2023/09/most-influential-kdd-papers-2023-09/

  • July-2022

    Lead-authored paper for adaptive local cokriging published in Biosystems Engineering was shortlisted for the EurAgEng Outstanding Paper Award

  • 2015-2026

    A daily weather projection model (LMESS + QMB) is operating on the long paddock web site as a government data service for daily weather projection to 2030 or 2050. Details please see Consistent Climate Scenarios (CCS) User Guide Addendum 1 (https://data.longpaddock.qld.gov.au/static/climateprojections/pdf/userguide_addendum.pdf)

Community and Corporate Citizenship

  • Jan 2009-Present

    Member, Statistical Society of Australia

  • June 2002-Present

    Member, IEEE -- Senior member since Aug 2011

Publications

We have publications by Dr Warren Jin

    Published data & software

    We have published items by Dr Warren Jin