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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 analytic models to tackle high-impact challenges in agriculture and the environment. By collaborating extensively with CSIRO's Ag & Food 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, 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. 40+ Master/Honours/MPhil/PhD students or postdocs have finished their projects under his supervision/co-supervision. Some former students are doing great research, such as A/Prof Lan Du, Assistant Prof Guansong Pang, and postdoc Prabhasri Herath.
Professional Areas
Current Roles
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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
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2002
PhD (Computer Science and Engineering)
the Chinese University of Hong Kong, Hong Kong
Professional Experiences
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July 2010-
Senior Research Scientist
CSIRO
Achievements and Awards
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-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
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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/
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July-2022
Lead-authored paper for adaptive local cokriging published in Biosystems Engineering was shortlisted for [the EurAgEng Outstanding Paper Award](https://iagre.org/news/BiosystemsEnginneringannounceOutstandingPaperAwardsfor2022)
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2015-202?
A daily weather projection model up to 2099 is operating on the long paddock web site as a government data service
Community and Corporate Citizenship
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Jan 2009-Present
Member, Statistical Society of Australia
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June 2002-Present
Member, IEEE -- Senior member since Aug 2011
ORCID 0000-0002-3925-0256
We have publications by Dr Warren Jin
Published data & software
We have published items by Dr Warren Jin